• 1

  conteNXt: A Graph-Based Approach to Assimilate Content and Context for Event Detection in OSN

  Sielvie Sharma, Muhammad Abulaish, and Tanvir Ahmad, IEEE Transactions on Computational Social Systems, Volume 11, Issue 4, pp. 5483-5495, 2024.

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• 2

  DeepCKID: A Multi-Head Attention-Based Deep Neural Network Model Leveraging Classwise Knowledge to Handle Imbalanced Textual Data

  Amit Kumar Sah and Muhammad Abulaish, Machine Learning with Applications, Volume 17, Elsevier, September 2024, 100575.

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• 3

  The Dark Crypto World!

  Muhammad Abulaish and Harshita Dalal, IEEE Internet Computing, Volume 28, Issue 3, pp. 26-36, 2024.

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• 4

  The role of lifelong machine learning in bridging the gap between human and machine learning: A scientometric analysis

  Muhammad Abulaish, Nesar Ahmad Wasi, and Shachi Sharma, Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, Volume 14, Issue 2, pp. e1526

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• 5

  A MapReduce-Based Approach for Fast Connected Components Detection from Large-Scale Networks

  Sajid Y Bhat and Muhammad Abulaish, Big Data, Mary Ann Liebert, Inc., publishers, 2024. URL: https://doi.org/10.1089/big.2022.0264

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• 6

  Contextualized Satire Detection in Short Texts Using Deep Learning Techniques

  Ashraf Kamal, Muhammad Abulaish, and Jahiruddin, Journal of Web Engineering, Volume 23, Issue 1, pp. 27-52, 2024.

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• 7

  SKEDS - An External Knowledge Supported Logistic Regression Approach for Document-level Sentiment Classification

  Nesar Ahmad Wasi and Muhammad Abulaish, Expert Systems with Applications, Volume 238, Part D, Elsevier, 15 March 2024, 121987.

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• 8

  Efficient Subgraph Isomorphism Finding in Large Graphs using Eccentricity and Limiting Recursive Calls

  Zubair Ali Ansari, Muhammad Abulaish, and Irfan Rashid Thoker, arXiv preprint arXiv:2312.02988, 21 November 2023.

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• 9

  A Multi-Task Learning Framework using Graph Attention Network for User Stance and Rumor Veracity Prediction

  Muhammad Abulaish, Anuj Saraswat, and Mohd Fazil, In Proceedings of the 2023 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), Kusadasi, Turkey, 6-9 November 2023, pp. 1-5.

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• 10

  An Emotion-Enriched and Psycholinguistics Features-Based Approach for Rumor Detection on Online Social Media

  Asimul Haque and Muhammad Abulaish, In Proceedings of the 11th International Workshop on Natural Language Processing for Social Media (SocialNLP), Co-located with IJCNLP-AACL, Bali, Indonesia, 1-4 November 2023, pp. 28-37.

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• 11

  proBE - A BERTweet-Attentive Prototype Few-shot Model for Event Detection in OSN

  Sielvie Sharma, Muhammad Abulaish, and Tanvir Ahmad, In Proceedings of the 22nd IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), Venice, Italy, 26-29 October 2023, pp. 1-8.

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• 12

  An Unseen Features-Enriched Lifelong Machine Learning Framework

  Nesar Ahmad Wasi and Muhammad Abulaish, In Proceedings of the International Conference on Computational Science and its Applications (ICCSA), Athens, Greece, 3-6 July 2023, LNCS-13957, pp. 471-481. DOI: https://doi.org/10.1007/978-3-031-36808-0_34

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• 13

  An Unseen Features Enhanced Text Classification Approach

  Nesar Ahmad Wasi and Muhammad Abulaish, In Proceedings of the International Joint Conference on Neural Networks (IJCNN), Queensland, Australia,18-23 June 2023, pp. 1-9. DOI: DOI: 10.1109/IJCNN54540.2023.10191857

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• 14

  Skull stripping on multimodal brain MRI scans using thresholding and morphology

  Sajid Y Bhat, Afnan Naqshbandi, and Muhammad Abulaish, The Imaging Science Journal, Taylor & Francis, Volume 72, Issue 4, pp. 466-478, 2023.

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• 15

  A Comprehensive Empirical Evaluation of Existing Word Embedding Approaches

  Obaidullah Zaland, Muhammad Abulaish, and Mohd Fazil, arXiv preprint arXiv:2303.07196, 13 March 2023, pp. 1-28. DOI: https://doi.org/10.48550/arXiv.2303.07196

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• 16

  SbChain+: An Enhanced Snowball-Chain Approach for Detecting Communities in Social Graphs

  Jayati Gulati and Muhammad Abulaish, International Journal of Advanced Computer Science and Applications, Vol. 14, Issue 6, 2023, pp. 1129-1140. DOI:10.14569/IJACSA.2023.01406121

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• 17

  DeepADA: An Attention-Based Deep Learning Framework for Augmenting Imbalanced Textual Datasets

  Amit Kumar Sah and Muhammad Abulaish, In Proceedings of the 19th International Conference on Natural Language Processing (ICON), New Delhi, India, ACL, 15-18 December 2022, pp. 318-327.

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• 18

  Compact Residual Learning with Frequency-Based Non-Square Kernels for Small Footprint Keyword Spotting

  Muhammad Abulaish and Rahul Gulia, In Proceedings of the 19th International Conference on Natural Language Processing (ICON), New Delhi, India, ACL, 15-18 December 2022, pp. 328-336.

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• 19

  MINDS: A Multi-label Emotion and Sentiment Classification Dataset Related to COVID-19

  Anjali Bhardwaj and Muhammad Abulaish, In Proceedings of the Workshop on Context-aware NLP in eHealth, Co-located with the 19th International Conference on Natural Language Processing (ICON), New Delhi, India, 15-18 December 2022, pp. 1-11.

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• 20

  Tutorial on Legal Text Analytics

  Vasudha Bhatnagar, Vikas Kumar, Balaji Ganesan, Muhammad Abulaish, Parikshet Sirohi, Ashwini Siwal, Proceedings of the19th International Conference on Natural Language Processing (ICON), New Delhi, India, 15-18 December 2022, pp. 1-3.

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• 21

  KEvent - A Semantic-Enriched Graph-Based Approach Capitalizing Bursty Keyphrases for Event Detection in OSN

  Sielvie Sharma, Muhammad Abulaish, and Tanvir Ahmad, In Proceedings of the International Workshop on Data Analytics on Social Media, Co-located with the 21st IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technolog, Niagara Falls, Canada, 17-20 November 2022, pp. 588-595.

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• 22

  ADA: An Attention-Based Data Augmentation Approach to Handle Imbalanced Textual Datasets

  Amit Kumar Sah and Muhammad Abulaish, In Proceedings of the 29th International Conference on Neural Information Processing (ICONIP), IIT Indore, India, CCIS, Vol. 1791, Springer, 22-26 November 2022, pp. 477-488.

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• 23

  A Graph-Based Approach Leveraging Posts and Reactions for Detecting Rumors on Online Social Media

  Asimul Haque and Muhammad Abulaish, In Proceedings of the 36th Pacific Asia Conference on Language, Information and Computation (PACLIC), Manila, Philippines, October 20-22, 2022, pp. 1-12.

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• 24

  A Hybrid Recommendation Technique using Topic Embedding for Rating Prediction and to Handle Cold-Start Problem

  Vineet K. Sejwal and Muhammad Abulaish, Expert Systems with Applications, Volume 209, 15 December 2022, pp. 118307.

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• 25

  Domain-Specific Keyword Extraction Using Joint Modeling of Local and Global Contextual Semantics

  Muhammad Abulaish, Mohd Fazil, and Muhammed J. Zaki, ACM Transactions on Knowledge Discovery from Data, Article No.: 70, 2022, pp, 1-30.

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• 26

  OvSbChain: An Enhanced Snowball Chain Approach for Detecting Overlapping Communities in Social Graphs

  Jayati Gulati, Muhammad Abulaish, and Sajid Y. Bhat, International Journal of Advanced Computer Science and Applications, Volume 13, Issue 5, 2022, pp. 1-10.

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• 27

  DeepSBD: A Deep Neural Network Model With Attention Mechanism for SocialBot Detection

  Mohd Fazil, Amit Kumar Sah, and Muhammad Abulaish, IEEE Transactions on Information Forensics and Security, Vol. 16, 2021, pp. 4211-4223.

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• 28

  CAT-BiGRU: Convolution and Attention with Bi-directional Gated Recurrent Unit for Self-Deprecating Sarcasm Detection

  Ashraf Kamal and Muhammad Abulaish, Cognitive Computation, Topical Collection: A Decade on Sentic Computing, Vol. 14, Springer, 2021, pp. 91-109.

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• 29

  A Machine Learning Approach for Socialbot Targets Detection on Twitter

  Muhammad Abulaish and Mohd Fazil, Journal of Intelligent & Fuzzy Systems, vol. 40, no. 3, IOS Press, 2021, pp. 4115-4133.

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• 30

  An Efficient Subgraph Isomorphism Solver for Large Graphs

  Zubair Ali Ansari, Jahiruddin, and Muhammad Abulaish, IEEE Access, Vol. 9, 2021, pp. 61697-61709.

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• 31

  P2DF: A Privacy-Preserving Digital Forensics Framework

  Muhammad Abulaish, Nur Al-Hasan Haldar and Jahiruddin, International Journal of Digital Crime and Forensics (IJDCF), Vol 13, No. 6, 2021, pp. 1-15.

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• 32

  A Survey of Figurative Language and its Computational Detection in Online Social Networks

  Muhammad Abulaish, Ashraf Kamal, and Mohammed J. Zaki, ACM Transactions on the Web, Volume 14, Issue 1, 2020, pp. 3:1-3:52.

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• 33

  Socialbots: Impacts, Threat-Dimensions, and Defense Challenges

  Muhammad Abulaish and Mohd Fazil, IEEE Technology and Society Magazine, vol. 39, no. 3, IEEE, 2020, pp. 52-61.

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• 34

  A Hierarchical Attention-Based Neural Network Model for Socialbot Detection in OSN

  Mohd Fazil, Amit Kumar Sah and Muhammad Abulaish, In Proceedings of the 19th International Conference on Web Intelligence (WI), Malbourne, Australia, December 14-17, 2020, pp. 1-8.

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• 35

  Document-Level Sentiment Analysis through Incorporating Prior Domain Knowledge into Logistic Regression

  Nesar Ahmad Wasi and Muhammad Abulaish, In Proceedings of the 19th International Conference on Web Intelligence (WI), Malbourne, Australia, December 14-17, 2020, pp. 1-6.

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• 36

  A Social Media Time-Series Data Analytics Approach for Digital Epidemiology

  Md. Aslam Parwez, Muhammad Abulaish, and Jahiruddin, In Proceedings of the 19th International Conference on Web Intelligence (WI), Malbourne, Australia, Malbourne, Australia, December 14-17, 2020, pp. 1-8.

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• 37

  Exploring Molecular Descriptors and Fingerprints to Predict mTOR Kinase Inhibitors using Machine Learning Techniques

  Chetna Kumari, Muhammad Abulaish, and Naidu Subbarao, IEEE/ACM Transactions on Computational Biology and Bioinformatics, Volume: 18, Issue: 5, 2021, pp. 1902-1913.

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• 38

  CAMO: A Context-Aware Movie Ontology Generated from LOD and Movie Databases

  Vineet K. Sejwal and Muhammad Abulaish, Multimedia Tools and Applications, Springer Nature, 2020, pp. 1-23.

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• 39

  CRecSys: A Context-Based Recommender System Using Collaborative Filtering and LOD

  Vineet Kumar Sejwal, Muhammad Abulaish, and Jahiruddin, IEEE Access, Volume: 8, August 27, 2020, pp. 158432 - 158448.

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• 40

  A Trust-Based Collaborative Filtering Approach to Design Recommender Systems

  Vineet Kumar Sejwal and Muhammad Abulaish, International Journal of Advanced Computer Science and Applications, Volume: 11, Issue: 10, 2020, pp. 1 - 12.

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• 41

  Using SMOTE to Deal with Class-Imbalance Problem in Bioactivity Data to Predict mTOR Inhibitors

  Chetna Kumari, Muhammad Abulaish, and Naidu Subbarao, Springer Nature Computer Science 1, Article no. 150 (2020), Springer Nature, pp. 1-12.

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• 42

  A Socialbots Analysis-Driven Graph-Based Approach for Identifying Coordinated Campaigns in Twitter

  Mohd. Fazil and Muhammad Abulaish, Journal of Intelligent & Fuzzy Systems, vol. 38, no. 3, IOS Press, 2020, pp. 2961-2977.

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• 43

  A Contextual Semantic-Based Approach for Domain-Centric Lexicon Expansion

  Muhammad Abulaish, Mohd. Fazil, and Tarique Anwar, In Proceedings of the 31st Australasian Database Conference (ADC), Melbourne, Australia, LNCS, February 4-7, 2020, pp. 216-224.

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• 44

  DRCoVe: An AugmentedWord Representation Approach using Distributional and Relational Context

  Md. Aslam Parwez, Muhammad Abulaish, and Mohd. Fazil, In Proceedings of the 16th International Conference on Natural Language Processing, LTRC, IIIT Hyderabad, India, December 18-21, 2019, pp. 220-229.

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• 45

  DiseaSE: A Biomedical Text Analytics System for Disease Symptom Extraction and Characterization

  Muhammad Abulaish, Md. Aslam Parwez, and Jahiruddin, Journal of Biomedical Informatics, vol. 100 (2019) 103324, pp. 1-15..

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• 46

  Scaling Density-Based Community Detection to Large-Scale Social Networks via MapReduce Framework

  Muhammad Abulaish, Ishfaq Majid Bhat, and Sajid Yousuf Bhat, Journal of Intelligent & Fuzzy Systems, vol. 38, no. 2, IOS Press, 2019, pp. 1663-16742.

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• 47

  Self-Deprecating Humor Detection: A Machine Learning Approach

  Ashraf Kamal and Muhammad Abulaish, In Proceedings of the 16th International Conference of the Pacific Association for Computational Linguistics (PACLING), Hanoi City, Vietnam, Communications in Computer and Information Science, vol. 1215. Springer, October 11-13, 2019, pp. 1-9.

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• 48

  An LSTM-Based Deep Learning Approach for Detecting Self-Deprecating Sarcasm in Textual Data

  Ashraf Kamal and Muhammad Abulaish, In Proceedings of the 16th International Conference on Natural Language Processing, LTRC, IIIT Hyderabad, India, December 18-21, 2019, pp. 201-210.

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• 49

  A Novel Snowball-Chain Approach for Detecting Community Structures in Social Graphs

  Jayati Gulati and Muhammad Abulaish, In Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining (IEEE-CIDM), Xiamen, China, December 6-9, 2019, pp. 1-8.

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• 50

  A Graph-Theoretic Embedding-Based Approach for Rumor Detection in Twitter

  Muhammad Abulaish, Nikita Kumari, Mohd Fazil, and Basanta Singh, In Proceedings of the 18th IEEE/WIC/ACM International Conference on Web Intelligence (WI), Thessaloniki, Greece, October 14-17, 2019, pp. 466-470.

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• 51

  SentiLangN: A Language-Neutral Graph-Based Approach for Sentiment Analysis in Microblogging Data

  Muhammad Abulaish, Mohammad Rahimi, Habeebullah Ebrahemi, and Amit Kumar Sah, In Proceedings of the 18th IEEE/WIC/ACM International Conference on Web Intelligence (WI), Thessaloniki, Greece, October 14-17, 2019, pp. 461-465.

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• 52

  A Multilayer Perceptron Architecture for Detecting Deceptive Cryptocurrencies in Coin Market Capitalization Data

  Harshita Dalal and Muhammad Abulaish, In Proceedings of the 18th IEEE/WIC/ACM International Conference on Web Intelligence (WI), Thessaloniki, Greece, October 14-17, 2019, pp. 438-442.

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• 53

  Multi-Label Classification of Microblogging Texts Using Convolution Neural Network

  Md. Aslam Parwez, Muhammad Abulaish, and Jahiruddin, IEEE Access, vol. 7, 2019, pp. 68678-68691.

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• 54

  Trust and Context-based Rating Prediction using Collaborative Filtering: A Hybrid Approach

  Vineet Kumar Sejwal and Muhammad Abulaish, In Proceedings of the 9th International Conference on Web Intelligence, Mining and Semantics (WIMS), Seoul, Korea, June 26-28, 2019, pp. 20:1-20:10.

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• 55

  Context-Based Rating Prediction using Collaborative Filtering and Linked Open Data

  Vineet Kumar Sejwal and Muhammad Abulaish, In Proceedings of the 9th International Conference on Web Intelligence, Mining and Semantics (WIMS), Seoul, Korea, June 26-28, 2019, pp. 19:1-19:9.

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• 56

  A Multi-Attributed Graph-Based Approach for Text Data Modeling and Event Detection in Twitter

  Muhammad Abulaish, Sielvie Sharma, and Mohd Fazil, In Proceedings of the Social Networking Workshop at the 11th International Conference on Communication Systems and Networks (COMSNETS), Bangalore, India, Jan. 7-11, 2019, pp. 703-708. (received best paper award)

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• 57

  OMCR: An Opinion-Based Multi-Criteria Ranking Approach

  Muhammad Abulaish, Jahiruddin, and Anjali Bhardwaj, Journal of Intelligent and Fuzzy Systems, vol. 36, no. 1, IOS Press, 2019, pp. 397-411.

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• 58

  SubISO: A Scalable and Novel Approach for Subgraph Isomorphism Search in Large Graph

  Muhammad Abulaish, Zubair Ali Ansari, and Jahiruddin, In Proceedings of the 11th International Conference on Communication Systems and Networks (COMSNETS), Bangalore, India, Jan. 7-11, 2019, pp. 102-109.

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• 59

  A Text Data Augmentation Approach for Improving the Performance of CNN

  Muhammad Abulaish and Amit Kumar Sah, In Proceedings of the MINDS Workshop, 11th International Conference on Communication Systems and Networks (COMSNETS), Bangalore, India, Jan. 7-11, 2019, pp. 625-630.

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• 60

  A Hybrid Approach for Detecting Automated Spammers in Twitter

  Mohd Fazil and Muhammad Abulaish, IEEE Transactions on Information Forensics and Security, Volume 13, Issue 11, 2018, pp. 2707-2719.

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• 61

  Modeling Topic Evolution in Twitter: An Embedding-Based Approach

  Muhammad Abulaish and Mohd Fazil, IEEE Access, vol. 6, 2018, pp. 64847-64857.

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• 62

  Advances in Digital Forensics Frameworks and Tools: A Comparative Insight and Ranking

  Muhammad Abulaish and Nur Al-Hasan Haldar, International Journal of Digital Crime and Forensics, vol. 10, no. 2, 2018, pp. 95-119.

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• 63

  Self-Deprecating Sarcasm Detection: An Amalgamation of Rule-Based and Machine Learning Approach

  Muhammad Abulaish and Ashraf Kamal, In Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence (WI), Santiago, Chile, Dec. 3-6, 2018, pp. 574-579.

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• 64

  A Layered Approach for Summarization and Context Learning from Microblogging Data

  Muhammad Abulaish, Md. Imran Hossain Showrov, and Mohd Fazil, In Proceedings of the 20th International Conference on Information Integration and Web-based Applications & Services (iiWAS), Yogyakarta, Indonesia, Nov. 19-21, 2018, pp. 70-78.

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• 65

  Predicting JNK1 Inhibitors Regulating Autophagy in Cancer using Random Forest Classifier

  Chetna Kumari, Naidu Subbarao, and Muhammad Abulaish, bioRxiv, 2018, pp. 1-13, URL: https://doi.org/10.1101/459669

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• 66

  Biomedical Text Analytics for Characterizing Climate-Sensitive Disease

  Md. Aslam Parwez, Muhammad Abulaish and Jahiruddin, In Proceedings of the International Conference on Computational Intelligence and Data Science, Noida, India, Procedia Computer Science, vol. 132, Elsevier, April 7-8, 2018, pp. 1002-1011.

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• 67

  A Novel Weighted Distance Measure for Multi-Attributed Graph

  Muhammad Abulaish and Jahiruddin, In Proceedings of the 10th Annual ACM India Conference (COMPUTE), Bhopal, India, Nov. 16-18, 2017, pp. 39-47.

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• 68

  Efficient Processing of SPARQL Queries Over GraphFrames

  Ramzan Ali Bahrami, Jayati Gulati, and Muhammad Abulaish, In Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence (WI), Lepzig, Germany, August 23-26, 2017, pp. 678-685.

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• 69

  Identifying Active, Reactive, and Inactive Targets of Socialbots in Twitter

  Mohd. Fazil, and Muhammad Abulaish, In Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence (WI), Lepzig, Germany, August 23-26, 2017, pp. 573-580.

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• 70

  A Unified Framework for Community Structure Analysis in Dynamic Social Networks

  Sajid Yousuf Bhat, and Muhammad Abulaish, Hema Banati et al. (Eds.) Hybrid Intelligence for Social Networks, Springer, 2017, pp. 71-90.

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• 71

  Why a Socialbot is Effective in Twitter? A Statistical Insight

  Mohd Fazil and Muhammad Abulaish, In Proceedings of the 9th International Conference on Communication Systems and Networks (COMSNETS), Social Networking Workshop, Bengaluru, India, January 4-8, 2017, pp. 564-569. (received best paper award)

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• 72

  OntoLSA - An Integrated Text Mining System for Ontology Learning and Sentiment Analysis

  Ahmad Kamal, Muhammad Abulaish, and Jahiruddin, Witold Pedrycz and Shyi-Ming Chen (Eds.) Sentiment Analysis and Ontology Engineering, Studies in Computational Intelligence 639, Springer, ISBN: 978-3-319-30317-8, 2016, pp. 399-423.

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• 73

  Ranking Radically Influential Web Forum Users

  Tarique Anwar and Muhammad Abulaish, IEEE Transactions on Information Forensics and Security, Volume: 10, Issue: 6, 2015, pp. 1289-1298.

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• 74

  OCMiner: A Density-Based Overlapping Community Detection Method for Social Networks

  Sajid Y. Bhat and Muhammad Abulaish, Intelligent Data Analysis, Volume: 19, Issue: 4, IOS Press, pp. 917-947, 2015.

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• 75

  BiSAL - A bilingual sentiment analysis lexicon to analyze Dark Web forums for cyber security

  Khalid Al-Rowaily, Muhammad Abulaish, Nur Al-Hasan Haldar, and Majed Al-Rubaiana, Digital Investigation, vol. 14, Elsevier, September 2015, pp. 53-62.

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• 76

  Classifier Ensembles using Structural Features for Spammer Detection in Online Social Networks

  Muhammad Abulaish and Sajid Y. Bhat, Foundations of Computing and Decision Sciences, Volume: 40, Issue: 2, Poznan University of Technology, Poland, 2015, pp. 89-105.

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• 77

  Twitter Data Mining for Events Classification and Analysis

  Nausheen Azam, Jahiruddin, Muhammad Abulaish, and Nur Al-Hasan Haldar, In Proceedings of the 2nd International Conference on Soft Computing and Machine Intelligence (ISCMI’15), Hong Kong, IEEE CPS, Nov. 23-24, 2015, pp. 79-83.

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• 78

  Data Warehousing Based Computer Forensics Investigation Framework

  Waleed Halboob, Ramlan Mahmod, Muhammad Abulaish, Haider Abbas, and Kashif Saleem, In Proceedings of the 12th International Conference on Information Technology - New Generations (ITNG), Las Vegas, NV, USA , April 13-15, 2015, pp. 163-168.

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• 79

  HOCTracker: Tracking the Evolution of Hierarchical and Overlapping Communities in Dynamic Social Networks

  Sajid Y. Bhat and Muhammad Abulaish, IEEE Transactions on Knowledge and Data Engineering, Volume: 27, Issue: 4, 2014, pp. 1019-1032.

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• 80

  Namesake Alias Mining on the Web and its Role Towards Suspect Tracking

  Tarique Anwar and Muhammad Abulaish, Information Sciences, Volume: 276, 2014, pp. 123-145.

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• 81

  Communities against Deception in Online Social Networks

  Sajid Y. Bhat and Muhammad Abulaish, Computer Fraud and Security, Volume: 2014, Issue: 2, Elsevier, Feb. 2014, pp. 8-16.

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• 82

  A Social Graph Based Text Mining Framework for Chat Log Investigation

  Tarique Anwar and Muhammad Abulaish, Digital Investigation, Volume: 11, Issue: 4, Elsevier, 2014, pp. 349-362.

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• 83

  Spammer Classification using Ensemble Methods over Structural Social Network Features

  Sajid Y. Bhat, Muhammad Abulaish, and Abdulrahman A. Mirza, In Proceedings of the 14th IEEE/WIC/ACM International Conference on Web Intelligence (WI’14), Warsaw, Poland, Aug. 11-14, 2014, pp. 454-458.

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• 84

  A Density-Based Approach to Detect Community Evolutionary Events in Online Social Networks

  Muhammad Abulaish and Sajid Y. Bhat, F. Can et al. (Eds.), State of the Art Applications of Social Network Analysis, Lecture Notes in Social Networks, Springer, ISBN: 978-3-319-05911-2, 2014, pp. 189-208. (Extended version of the paper presented at ASONAM 2012)

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• 85

  Analysis and Mining of Online Social Networks - Emerging Trends and Challenges

  Sajid Y. Bhat and Muhammad Abulaish, WIREs Data Mining and Knowledge Discovery, Volume: 3, Issue: 6, John Wiley and Sons, Nov-Dec 2013, pp. 408-444.

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• 86

  A Generic Statistical Approach for Spam Detection in Online Social Networks

  Faraz Ahmed and Muhammad Abulaish, Computer Communications, Volume: 36, Issue: 10-11, Elsevier, June 2013, pp. 1120-1129.

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• 87

  A User-Centric Feature Identification and Modeling Approach to Infer Social Ties in OSNs

  Mudassir Wani, Majid A. Alrubaian, and Muhammad Abulaish, In Proceedings of the 15th International Conference on Information Integration and Web-based Applications & Services (iiWAS’13), Vienna, Austria, Dec. 2-4, 2013, pp. 107-114.

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• 88

  DigLA - A Digsby Log Analysis Tool to Identify Forensic Artifacts

  Muhammad Yasin and Muhammad Abulaish, Digital Investigation, Volume: 9, Issue: 3-4, Elsevier, 2013, pp. 222-234.

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• 89

  Community-Based Features for Identifying Spammers in Online Social Networks

  Sajid Y. Bhat and Muhammad Abulaish, In Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), Niagara Falls, Canada, ACM, Aug. 25-28, 2013, pp. 100-107.

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• 90

  Modeling a Web Forum Ecosystem into an Enriched Social Graph

  Tarique Anwar and Muhammad Abulaish, Martin Atzmueller, Alvin Chin, Denis Helic, and Andreas Hotho (Eds.), Ubiquitous Social Media Analysis, LNCS Vol. 8329, ISBN: 978-3-642-45391, Springer, 2013, pp. 152-152. (extended version of the paper presented at MSM 2012)

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• 91

  Statistical Features Identification for Sentiment Analysis using Machine Learning Techniques

  Ahmad Kamal and Muhammad Abulaish, In Proceedings of the International Symposium on Computational and Business Intelligence (ISCBI), Delhi, India, IEEE, Aug. 24-26, 2013, pp. 178-181.

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• 92

  Overlapping Social Network Communities and Viral Marketing

  Sajid Y. Bhat and Muhammad Abulaish, In Proceedings of the International Symposium on Computational and Business Intelligence (ISCBI), Delhi, India, IEEE, Aug. 24-26, 2013, pp. 243-346.

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• 93

  A Keyphrase-Based Tag Cloud Generation Framework to Conceptualize Textual Data

  Muhammad Abulaish and Tarique Anwar, International Journal of Adaptive, Resilient and Autonomic Systems, Volume: 4, Issue: 2, IGI Global, USA, 2013, pp. 72-93.

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• 94

  Web-Content Mining for Learning Generic Relations and their Associations from Textual Biological Data

  Muhammad Abulaish and Jahiruddin, Mourad Elloumi and Albert Y. Zomaya (Eds.), Biological Knowledge Discovery Handbook: Preprocessing, Mining and Post-Processing of Biological Data, John Wiley & Sons, ISBN: 9781118132739, 2013, pp. 919-942.

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• 95

  Identification of Sybil Communities Generating Context-Aware Spam on Online Social Networks

  Faraz Ahmad and Muhammad Abulaish, In Proceedings of the 15th Asia-Pacific Web Conference (APWeb), Sydney, Australia, April 4-6, 2013, pp. 268-279.

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• 96

  An MCL-Based Text Mining Approach for Namesake Disambiguation on the Web

  Tarique Anwar and Muhammad Abulaish, In Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence (WI), Macau, Dec. 4-7, 2012, pp. 40-44.

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• 97

  A Supervised Learning Approach for Automatic Keyphrase Extraction

  Muhammad Abulaish and Tarique Anwar, International Journal of Innovative Computing, Information and Control, Volume: 8, Issue: 9, Nov 2012, pp. 7579-7601.

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• 98

  Forensic Analysis of Digsby Log Data to Trace Suspected User Activities

  Muhammad Yasin, Muhammad Abulaish and Muhammad N. N. Elmogy, In Proceedings of the 9th FTRA International Conference on Secure and Trust Computing, Data Management, and Applications (STA), Gwangju, Korea, LNEE 180, Springer, Sep 6-8, 2012, pp. 119-126.

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• 99

  Graph-Based Learning Model for Detection of SMS Spam on Smart Phones

  Muhammad Z. Rafique and Muhammad Abulaish, In Proceedings of the 8th International Wireless Communications and Mobile Computing Conference (IWCMC) – Trust, Privacy and Security Symposium, Limasol, Cyprus, IEEE, Aug 27-31, 2012, pp. 1046-1051.

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• 100

  OCTracker: A Density-Based Framework for Tracking the Evolution of Overlapping Communities in OSNs

  Sajid Y. Bhat and Muhammad Abulaish, In Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), Istanbul, Turkey, Aug 26-29, 2012, pp. 501-505.

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• 101

  A Statistical Pattern Mining Approach for Identifying Wireless Network Intruders

  Nur Al-H. Haldar, Muhammad Abulaish and Syed A. Pasha, In Proceedings of the 5th International Conference on Network Security and Applications (CNSA), Chennai, India, Advances in Intelligent Systems and Computing, Volume: 176, Springer, July 13-15, 2012, pp. 131-140.

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• 102

  An MCL-Based Approach for Spam Profile Detection in Online Social Networks

  Faraz Ahmad and Muhammad Abulaish, In Proceedings of the 11th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (IEEE-TrustCom), Liverpool, UK, IEEE, June 25-27, 2012, pp. 602-608.

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• 103

  Mining an Enriched Social Graph to Model Cross-Thread Community Interactions and Interests

  Tarique Anwar and Muhammad Abulaish, In Proceedings of the 3rd International Workshop on Modeling Social Media: Collective Intelligence in Social Media - Co-located with the 23rd ACM Conference on Hypertext and Social Media, Milwaukee, WI, USA, ACM, June 25-28, 2012, pp. 35-38.

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• 104

  A Density-Based Approach for Mining Overlapping Communities from Social Network Interactions

  Sajid Y. Bhat and Muhammad Abulaish, In Proceedings of the 2nd International Conference on Web Intelligence, Mining and Semantics (WIMS), Craiova, Romania, ACM, June 13-15, 2012, pp. 9:1-9:7.

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• 105

  Mining Feature-Opinion Pairs and their Reliability Scores from Web Opinion Sources

  Ahmad Kamal, Muhammad Abulaish and Tarique Anwar, In Proceedings of the 2nd International Conference on Web Intelligence, Mining and Semantics (WIMS), Craiova, Romania, ACM, June 13-15, 2012, pp. 15:1-15:7.

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• 106

  Identifying Cliques in Dark Web Forums – An Agglomerative Clustering Approach

  Tarique Anwar and Muhammad Abulaish, In Proceedings of the 10th International Conference on Intelligence and Security Informatics (IEEE-ISI), Washington DC, USA, IEEE, June 11-14, 2012, pp. 171-174.

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• 107

  An Activity Pattern Based Wireless Intrusion Detection System

  Nur Al-H. Haldar, Muhammad Abulaish, and Syed A. Pasha, In Proceedings of the 9th International Conference on Information Technology: New Generations (ITNG), Las Vegas, Nevada, USA, IEEE, April 16-18, 2012, pp. 846-847.

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• 108

  Clustering Periodic Frequent Patterns Using Fuzzy Statistical Parameters

  Fokrul A. Mazarbhuiya and Muhammad Abulaish, International Journal of Innovative Computing, Information and Control, Volume: 8, Issue: 3B, March 2012, pp. 2113-2124.

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• 109

  A Data Mining Framework for Securing 3G Core Network from GTP Fuzzing Attacks

  Faraz Ahmed, Muhammad Z. Rafique and Muhammad Abulaish, In Proceedings of the 7th International Conference on Information Systems Security (ICISS), Kolkata, India, Dec 15-19, 2011, pp. 280-293.

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• 110

  A Statistical Approach for Automatic Keyphrase Extraction

  Muhammad Abulaish, Jahiruddin and Lipika Dey, In Proceedings of the 5th Indian International Conference on Artificial Intelligence (IICAI), Bangalore, India, Dec 14-16, 2011, pp. 1100-1112.

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• 111

  Quaternary Privacy-Levels Preservation in Computer Forensics Investigation Process

  Waleed Halboob, Muhammad Abulaish and Khaled S. Alghathbar, In Proceedings of the 6th International Conference for Internet Technology and Secured Transactions (ICITST), Abu Dhabi, UAE, Dec 11-14, 2011, pp. 777-782.

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• 112

  A Web Content Mining Approach for Tag Cloud Generation

  Muhammad Abulaish, and Tarique Anwar, In Proceedings of the 13th International Conference on Information Integration and Web-based Applications & Services (iiWAS), Vietnam, Dec 5-7, 2011, pp. 52-59.

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• 113

  Deep Text Mining for Automatic Keyphrase Extraction from Text Documents

  Muhammad Abulaish, Jahiruddin and Lipika Dey, Journal of Intelligent Systems, Volume: 20, Issue: 4, De Gruyter, Germany, 2011, pp. 327-352.

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• 114

  A Security Information Management Ontology

  Muhammad Abulaish, Syed I. Nabi, Khaled S. Alghathbar and Azeddine Chikh, In Proceedings of the 8th IEEE/FTRA International Conference on Secure and Trust Computing, Data Management, and Applications (STA), Loutraki, Greece, June 28-30, 2011, pp, 201-208.

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• 115

  An Ontology Based Information Security Requirements Engineering Framework

  Azeddine Chikh, Muhammad Abulaish, Syed I. Nabi and Khaled S. Alghathbar, In Proceedings of the 8th IEEE/FTRA International Conference on Secure and Trust Computing, Data Management, and Applications (STA), Loutraki, Greece, June 28-30, 2011, pp, 139-146.

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• 116

  Web Content Mining for Alias Identification: A first step towards suspect tracking

  Tarique Anwar, Muhammad Abulaish and Khaled S. Alghathbar, In Proceedings of the IEEE International Conference on Intelligence and Security Informatics (ISI), Bejing, China, July 10-12, 2011, pp. 195-197.

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• 117

  xMiner: Nip the Zero Day Exploits in the Bud

  Muhammad Z. Rafique and Muhammad Abulaish, In Proceedings of the 10th IEEE International Symposium on Network Computing and Applications (IEEE-NCA), Cambridge, MA, USA, Aug 25-27, 2011, pp. 99-106.

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• 118

  Relation Characterization using Ontological Concepts

  Muhammad Abulaish, In Proceedings of the 8th International Conference on Information Technology: New Generations (ITNG), Las Vegas, Nevada, USA, April 11-13, 2011, pp. 585-590.

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• 119

  A Concept-Driven Biomedical Knowledge Extraction and Visualization Framework for Conceptualization of Text Corpora

  Jahiruddin, Muhammad Abulaish, and Lipika Dey, Journal of Biomedical Informatics, Volume: 43, Issue: 6, Elsevier, 2010, pp. 1020-1035.

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• 120

  Opinion-Based Imprecise Query Answering

  Muhammad Abulaish, Tanvir Ahmad, Jahiruddin and Mohammed N. Doja, In Proceedings of the 14th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Hyderabad, India, LNAI-6119, Part-II, Springer-Verlag, June 21-24, 2010, pp. 238-248.

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• 121

  Automated Summarization and Visualization of Unstructured Text Documents

  Muhammad Abulaish and Khaled S. Alghathbar, In Proceedings of the International Conference on IT and Business Intelligence (ITBI), Nagpur, India, November 12-14, 2010.

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• 122

  A Relation Mining and Visualization Framework for Automated Text Summarization

  Muhammad Abulaish, Jahiruddin and Lipika Dey, In Proceedings of the 3rd International Conference on Pattern Recognition and Machine Intelligence (PReMI), Delhi, India, LNCS-5909, Springer-Verlag, Dec. 16-20, 2009, pp. 249-254.

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• 123

  Feature and Opinion Mining for Customer Review Summarization

  Muhammad Abulaish, Tanvir Ahmad, Jahiruddin, and Mohammed N. Doja, In Proceedings of the 3rd International Conference on Pattern Recognition and Machine Intelligence (PReMI), Delhi, India, LNCS-5909, Springer-Verlag, Dec. 16-20, 2009, pp. 219-224.

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• 124

  Mining Local Association Rules from Temporal Data Set

  Fokrul A. Mazarbhuiya, Muhammad Abulaish, Anjana K. Mahanta, and Tanvir Ahmad, In Proceedings of the 3rd International Conference on Pattern Recognition and Machine Intelligence (PReMI), Delhi, India, LNCS-5909, Springer-Verlag, Dec 16-20, 2009, pp. 255-260.

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• 125

  Mining Biological Interactions from Biomedical Texts for Efficient Query Answering

  Muhammad Abulaish, Jahiruddin and Lipika Dey, Jake Y. Chen and Stefano Lonardi (Eds.), Biological Data Mining, Chapman & Hall/CRC Data Mining and Knowledge Discovery Series, Taylor and Francis, ISBN: 9781420086843, 2009, pp. 485-527.

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• 126

  An Ontology Enhancement Framework to Accommodate Imprecise Concepts and Relations

  Muhammad Abulaish, Journal of Emerging Technologies in Web Intelligence, Volume: 1, Issue: 1, Academy Publisher, Finland, 2009, pp. 22-36.

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• 127

  Knowledge-Based Information Extraction

  Muhammad Abulaish and Qadri N. Naved, In Proceedings of the 5th Saudi Technical Conference and Exhibition, Riyadh, KSA, Vol. II, Jan. 11-14, 2009, pp. 181-187.

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• 128

  A Fuzzy Ontology-Based Text Mining System for Knowledge Acquisition, Ontology Enhancement and Query Answering from Bio-Medical Texts

  Lipika Dey and Muhammad Abulaish, Gary B. Fogel, David W. Corne and Yi Pan (Eds.), Computational Intelligence in Bioinformatics. IEEE Press Series on Computational Intelligence, Wiley/ IEEE Inc., ISBN-9780470105269, 2008, pp. 297-339.

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• 129

  Fuzzy Ontologies for Handling Uncertainties and Inconsistencies in Domain Knowledge Description

  Lipika Dey and Muhammad Abulaish, In Proceedings of the IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) organized as a part of the IEEE World Congress on Computational Intelligence, Hong-Kong, China, June 1-6, 2008, pp. 1366-1373.

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• 130

  Biological Relation Extraction and Query Answering from Medline Abstracts using Ontology-based Text Mining

  Muhammad Abulaish and Lipika Dey, Data and Knowledge Engineering, Volume: 61, Issue: 2, Elsevier, 2007, pp. 228-262.

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• 131

  Semantic Integration of Information through Relation Mining – Application to Bio-Medical Text Processing

  Lipika Dey, Muhammad Abulaish, Rohit Goyel, and Jahiruddin, In Proceedings of the 2nd International Conference on Pattern Recognition and Machine Intelligence (PReMI), Kolkata, India, LNCS, Springer-Verlag, Dec. 18-22, 2007, pp. 365-372.

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• 132

  Relation Extraction from Texts for Efficient Access to Information – Application to Bio-Medical Text Processing

  Lipika Dey, Muhammad Abulaish and Jahiruddin, In Proceedings of the 3rd Indian International Conference on Artificial Intelligence (IICAI), Pune, India, Dec 17-19, 2007, pp. 1719-1737.

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• 133

  A Fuzzy Ontology Generation Framework for Handling Uncertainties and Non-uniformity in Domain Knowledge Description

  Muhammad Abulaish and Lipika Dey, In Proceedings of the International Conference on Computing: Theory and Applications (ICCTA), Kolkata, India, March 5-7, 2007, pp. 287-293.

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• 134

  Text Mining through Entity-Relationship Based Information Extraction

  Lipika Dey, Muhammad Abulaish, Gaurav Sharma and Jahiruddin, In Proceedings of the Workshop on Biomedical Applications of Web Technologies, Co-located with IEEE/WIC/ACM International Conference on Web Intelligence (WI), Silicon Valley, USA, Nov. 2-5, 2007, pp. 177-180.

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• 135

  Ontological Representation for Links into the Future

  Muhammad T. Afzal and Muhammad Abulaish, In Proceedings of the International Conference on Convergence Information Technology (ICCIT), Korea, 2007, pp. 1832-1837.

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• 136

  A Rough-Fuzzy Ontology Generation Framework and Its Application to Bio-medical Text Processing

  Lipika Dey, Muhammad Abulaish, Rohit Goyal and Kumar Shubham, In Proceedings of the 5th Atlantic Web Intelligence Conference (AWIC), Fontainebleau, France. Advances in Soft Computing Series, Volume: 43, Springer Berlin/Heidelberg, June 25-27, 2007, pp. 74–79.

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• 137

  Information Extraction and Imprecise Query Answering from Web Documents

  Muhammad Abulaish and Lipika Dey, Web Intelligence and Agent Systems – An International Journal, Volume: 4, Issue: 4, IOS Press, Netherland, 2006, pp. 407-429.

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• 138

  Interoperability among Distributed Overlapping Ontologies – A Fuzzy Ontology Framework

  Muhammad Abulaish and Lipika Dey, In Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence (WI), Hong Kong, 2006, pp. 397-403.

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• 139

  Enhancing a Biological Concept Ontology to Fuzzy Relational Ontology with Relations Mined from Text

  Lipika Dey and Muhammad Abulaish, In Proceedings of the 5th International Conference on Rough Sets and Current Trends in Computing (RSCTC), Japan, LNCS-4259, Springer-Verlag, 2006, pp. 527-536.

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• 140

  Ontology Enhancement for Including Newly Acquired Knowledge about Concept Descriptions and Answering Imprecise Queries

  Lipika Dey and Muhammad Abulaish, David Taniar and Johanna W. Rahayu (Eds.), Web Semantics and Ontology, IGI Global, USA, ISBN: 9781591409052, 2005, pp. 189-225.

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• 141

  Biological Ontology Enhancement with Fuzzy Relations: A Text-Mining Framework

  Muhammad Abulaish and Lipika Dey, In Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence (WI), France, 2005, pp. 379-385.

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• 142

  An Ontology-based Pattern Mining System for Extracting Information from Biological Texts

  Muhammad Abulaish and Lipika Dey, In Proceedings of the 10th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing (RSFDGrC), Canada, LNCS-3642, Springer-Verlag, 2005, pp. 420-429.

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• 143

  Knowledge Enhancement through Ontology-Gided Text Mining

  Muhammad Abulaish and Lipika Dey, In Proceedings of the 1st International Conference on Pattern Recognition and Machine Intelligence (PReMI), Kolkata, India, LNCS-3776, Springer-Verlag, 2005, pp. 601-604.

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• 144

  Intelligent Query Processing Using Semantic Web and Ontology

  Muhammad Abulaish and Lipika Dey, Journal of Computer Society of India, Volume: 34, Issue: 2, CSI, 2004, pp. 32-41.

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• 145

  A Framework for Extending Fuzzy Description Logic to Ontology Based Document Processing

  Shailendra Singh, Lipika Dey and Muhammad Abulaish, In Proceedings of the Advances in Web Intelligence: 2nd International Atlantic Web Intelligence Conference (AWIC), Cancun, Mexico, LNCS-3034, Springer-Verlag, 2004, pp. 95-104.

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• 146

  Using Part-of-Speech Patterns and Domain Ontology to Mine Imprecise Concepts from Text Documents

  Muhammad Abulaish and Lipika Dey, In Proceedings of the 6th International Conference on Information Integration and Web Based Applications and Services (iiWAS), Jakarta, Indonesia, Sep 27-29, 2004, pp. 91-100.

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• 147

  Ontology Based Fuzzy Deductive System to Handle Imprecise Knowledge

  Muhammad Abulaish and Lipika Dey, In Proceedings of the 4th International Conference on Intelligent Technologies, Chiang Mai, Thailand, 2003, pp. 271-278.

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• 1

  Compact Residual Learning with Frequency-Based Non-Square Kernels for Small Footprint Keyword Spotting

  Muhammad Abulaish and Rahul Gulia, In Proceedings of the 19th International Conference on Natural Language Processing (ICON), New Delhi, India, ACL, 15-18 December 2022, pp. 328-336.

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• 2

  Tutorial on Legal Text Analytics

  Vasudha Bhatnagar, Vikas Kumar, Balaji Ganesan, Muhammad Abulaish, Parikshet Sirohi, Ashwini Siwal, Proceedings of the19th International Conference on Natural Language Processing (ICON), New Delhi, India, 15-18 December 2022, pp. 1-3.

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• 3

  Domain-Specific Keyword Extraction Using Joint Modeling of Local and Global Contextual Semantics

  Muhammad Abulaish, Mohd Fazil, and Muhammed J. Zaki, ACM Transactions on Knowledge Discovery from Data, Article No.: 70, 2022, pp, 1-30.

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• 4

  A Contextual Semantic-Based Approach for Domain-Centric Lexicon Expansion

  Muhammad Abulaish, Mohd. Fazil, and Tarique Anwar, In Proceedings of the 31st Australasian Database Conference (ADC), Melbourne, Australia, LNCS, February 4-7, 2020, pp. 216-224.

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• 5

  A Keyphrase-Based Tag Cloud Generation Framework to Conceptualize Textual Data

  Muhammad Abulaish and Tarique Anwar, International Journal of Adaptive, Resilient and Autonomic Systems, Volume: 4, Issue: 2, IGI Global, USA, 2013, pp. 72-93.

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• 6

  A Supervised Learning Approach for Automatic Keyphrase Extraction

  Muhammad Abulaish and Tarique Anwar, International Journal of Innovative Computing, Information and Control, Volume: 8, Issue: 9, Nov 2012, pp. 7579-7601.

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• 7

  A Statistical Approach for Automatic Keyphrase Extraction

  Muhammad Abulaish, Jahiruddin and Lipika Dey, In Proceedings of the 5th Indian International Conference on Artificial Intelligence (IICAI), Bangalore, India, Dec 14-16, 2011, pp. 1100-1112.

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• 8

  A Web Content Mining Approach for Tag Cloud Generation

  Muhammad Abulaish, and Tarique Anwar, In Proceedings of the 13th International Conference on Information Integration and Web-based Applications & Services (iiWAS), Vietnam, Dec 5-7, 2011, pp. 52-59.

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• 9

  Deep Text Mining for Automatic Keyphrase Extraction from Text Documents

  Muhammad Abulaish, Jahiruddin and Lipika Dey, Journal of Intelligent Systems, Volume: 20, Issue: 4, De Gruyter, Germany, 2011, pp. 327-352.

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• 10

  Knowledge-Based Information Extraction

  Muhammad Abulaish and Qadri N. Naved, In Proceedings of the 5th Saudi Technical Conference and Exhibition, Riyadh, KSA, Vol. II, Jan. 11-14, 2009, pp. 181-187.

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• 11

  Text Mining through Entity-Relationship Based Information Extraction

  Lipika Dey, Muhammad Abulaish, Gaurav Sharma and Jahiruddin, In Proceedings of the Workshop on Biomedical Applications of Web Technologies, Co-located with IEEE/WIC/ACM International Conference on Web Intelligence (WI), Silicon Valley, USA, Nov. 2-5, 2007, pp. 177-180.

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• 12

  Contextualized Satire Detection in Short Texts Using Deep Learning Techniques

  Ashraf Kamal, Muhammad Abulaish, and Jahiruddin, Journal of Web Engineering, Volume 23, Issue 1, pp. 27-52, 2024.

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• 13

  CAT-BiGRU: Convolution and Attention with Bi-directional Gated Recurrent Unit for Self-Deprecating Sarcasm Detection

  Ashraf Kamal and Muhammad Abulaish, Cognitive Computation, Topical Collection: A Decade on Sentic Computing, Vol. 14, Springer, 2021, pp. 91-109.

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• 14

  A Survey of Figurative Language and its Computational Detection in Online Social Networks

  Muhammad Abulaish, Ashraf Kamal, and Mohammed J. Zaki, ACM Transactions on the Web, Volume 14, Issue 1, 2020, pp. 3:1-3:52.

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• 15

  Self-Deprecating Humor Detection: A Machine Learning Approach

  Ashraf Kamal and Muhammad Abulaish, In Proceedings of the 16th International Conference of the Pacific Association for Computational Linguistics (PACLING), Hanoi City, Vietnam, Communications in Computer and Information Science, vol. 1215. Springer, October 11-13, 2019, pp. 1-9.

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• 16

  An LSTM-Based Deep Learning Approach for Detecting Self-Deprecating Sarcasm in Textual Data

  Ashraf Kamal and Muhammad Abulaish, In Proceedings of the 16th International Conference on Natural Language Processing, LTRC, IIIT Hyderabad, India, December 18-21, 2019, pp. 201-210.

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• 17

  Self-Deprecating Sarcasm Detection: An Amalgamation of Rule-Based and Machine Learning Approach

  Muhammad Abulaish and Ashraf Kamal, In Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence (WI), Santiago, Chile, Dec. 3-6, 2018, pp. 574-579.

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• 18

  A Multi-Task Learning Framework using Graph Attention Network for User Stance and Rumor Veracity Prediction

  Muhammad Abulaish, Anuj Saraswat, and Mohd Fazil, In Proceedings of the 2023 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), Kusadasi, Turkey, 6-9 November 2023, pp. 1-5.

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• 19

  An Emotion-Enriched and Psycholinguistics Features-Based Approach for Rumor Detection on Online Social Media

  Asimul Haque and Muhammad Abulaish, In Proceedings of the 11th International Workshop on Natural Language Processing for Social Media (SocialNLP), Co-located with IJCNLP-AACL, Bali, Indonesia, 1-4 November 2023, pp. 28-37.

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• 20

  A Graph-Based Approach Leveraging Posts and Reactions for Detecting Rumors on Online Social Media

  Asimul Haque and Muhammad Abulaish, In Proceedings of the 36th Pacific Asia Conference on Language, Information and Computation (PACLIC), Manila, Philippines, October 20-22, 2022, pp. 1-12.

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• 21

  A Graph-Theoretic Embedding-Based Approach for Rumor Detection in Twitter

  Muhammad Abulaish, Nikita Kumari, Mohd Fazil, and Basanta Singh, In Proceedings of the 18th IEEE/WIC/ACM International Conference on Web Intelligence (WI), Thessaloniki, Greece, October 14-17, 2019, pp. 466-470.

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• 22

  A Hybrid Recommendation Technique using Topic Embedding for Rating Prediction and to Handle Cold-Start Problem

  Vineet K. Sejwal and Muhammad Abulaish, Expert Systems with Applications, Volume 209, 15 December 2022, pp. 118307.

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• 23

  CAMO: A Context-Aware Movie Ontology Generated from LOD and Movie Databases

  Vineet K. Sejwal and Muhammad Abulaish, Multimedia Tools and Applications, Springer Nature, 2020, pp. 1-23.

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• 24

  CRecSys: A Context-Based Recommender System Using Collaborative Filtering and LOD

  Vineet Kumar Sejwal, Muhammad Abulaish, and Jahiruddin, IEEE Access, Volume: 8, August 27, 2020, pp. 158432 - 158448.

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• 25

  A Trust-Based Collaborative Filtering Approach to Design Recommender Systems

  Vineet Kumar Sejwal and Muhammad Abulaish, International Journal of Advanced Computer Science and Applications, Volume: 11, Issue: 10, 2020, pp. 1 - 12.

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• 26

  Trust and Context-based Rating Prediction using Collaborative Filtering: A Hybrid Approach

  Vineet Kumar Sejwal and Muhammad Abulaish, In Proceedings of the 9th International Conference on Web Intelligence, Mining and Semantics (WIMS), Seoul, Korea, June 26-28, 2019, pp. 20:1-20:10.

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• 27

  Context-Based Rating Prediction using Collaborative Filtering and Linked Open Data

  Vineet Kumar Sejwal and Muhammad Abulaish, In Proceedings of the 9th International Conference on Web Intelligence, Mining and Semantics (WIMS), Seoul, Korea, June 26-28, 2019, pp. 19:1-19:9.

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• 28

  A MapReduce-Based Approach for Fast Connected Components Detection from Large-Scale Networks

  Sajid Y Bhat and Muhammad Abulaish, Big Data, Mary Ann Liebert, Inc., publishers, 2024. URL: https://doi.org/10.1089/big.2022.0264

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• 29

  SbChain+: An Enhanced Snowball-Chain Approach for Detecting Communities in Social Graphs

  Jayati Gulati and Muhammad Abulaish, International Journal of Advanced Computer Science and Applications, Vol. 14, Issue 6, 2023, pp. 1129-1140. DOI:10.14569/IJACSA.2023.01406121

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• 30

  OvSbChain: An Enhanced Snowball Chain Approach for Detecting Overlapping Communities in Social Graphs

  Jayati Gulati, Muhammad Abulaish, and Sajid Y. Bhat, International Journal of Advanced Computer Science and Applications, Volume 13, Issue 5, 2022, pp. 1-10.

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• 31

  Scaling Density-Based Community Detection to Large-Scale Social Networks via MapReduce Framework

  Muhammad Abulaish, Ishfaq Majid Bhat, and Sajid Yousuf Bhat, Journal of Intelligent & Fuzzy Systems, vol. 38, no. 2, IOS Press, 2019, pp. 1663-16742.

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• 32

  A Novel Snowball-Chain Approach for Detecting Community Structures in Social Graphs

  Jayati Gulati and Muhammad Abulaish, In Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining (IEEE-CIDM), Xiamen, China, December 6-9, 2019, pp. 1-8.

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• 33

  Modeling Topic Evolution in Twitter: An Embedding-Based Approach

  Muhammad Abulaish and Mohd Fazil, IEEE Access, vol. 6, 2018, pp. 64847-64857.

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• 34

  A Unified Framework for Community Structure Analysis in Dynamic Social Networks

  Sajid Yousuf Bhat, and Muhammad Abulaish, Hema Banati et al. (Eds.) Hybrid Intelligence for Social Networks, Springer, 2017, pp. 71-90.

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• 35

  OCMiner: A Density-Based Overlapping Community Detection Method for Social Networks

  Sajid Y. Bhat and Muhammad Abulaish, Intelligent Data Analysis, Volume: 19, Issue: 4, IOS Press, pp. 917-947, 2015.

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• 36

  HOCTracker: Tracking the Evolution of Hierarchical and Overlapping Communities in Dynamic Social Networks

  Sajid Y. Bhat and Muhammad Abulaish, IEEE Transactions on Knowledge and Data Engineering, Volume: 27, Issue: 4, 2014, pp. 1019-1032.

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• 37

  A Density-Based Approach to Detect Community Evolutionary Events in Online Social Networks

  Muhammad Abulaish and Sajid Y. Bhat, F. Can et al. (Eds.), State of the Art Applications of Social Network Analysis, Lecture Notes in Social Networks, Springer, ISBN: 978-3-319-05911-2, 2014, pp. 189-208. (Extended version of the paper presented at ASONAM 2012)

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• 38

  OCTracker: A Density-Based Framework for Tracking the Evolution of Overlapping Communities in OSNs

  Sajid Y. Bhat and Muhammad Abulaish, In Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), Istanbul, Turkey, Aug 26-29, 2012, pp. 501-505.

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• 39

  A Density-Based Approach for Mining Overlapping Communities from Social Network Interactions

  Sajid Y. Bhat and Muhammad Abulaish, In Proceedings of the 2nd International Conference on Web Intelligence, Mining and Semantics (WIMS), Craiova, Romania, ACM, June 13-15, 2012, pp. 9:1-9:7.

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• 40

  KEvent - A Semantic-Enriched Graph-Based Approach Capitalizing Bursty Keyphrases for Event Detection in OSN

  Sielvie Sharma, Muhammad Abulaish, and Tanvir Ahmad, In Proceedings of the International Workshop on Data Analytics on Social Media, Co-located with the 21st IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technolog, Niagara Falls, Canada, 17-20 November 2022, pp. 588-595.

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• 41

  Analysis and Mining of Online Social Networks - Emerging Trends and Challenges

  Sajid Y. Bhat and Muhammad Abulaish, WIREs Data Mining and Knowledge Discovery, Volume: 3, Issue: 6, John Wiley and Sons, Nov-Dec 2013, pp. 408-444.

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• 42

  A User-Centric Feature Identification and Modeling Approach to Infer Social Ties in OSNs

  Mudassir Wani, Majid A. Alrubaian, and Muhammad Abulaish, In Proceedings of the 15th International Conference on Information Integration and Web-based Applications & Services (iiWAS’13), Vienna, Austria, Dec. 2-4, 2013, pp. 107-114.

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• 43

  Modeling a Web Forum Ecosystem into an Enriched Social Graph

  Tarique Anwar and Muhammad Abulaish, Martin Atzmueller, Alvin Chin, Denis Helic, and Andreas Hotho (Eds.), Ubiquitous Social Media Analysis, LNCS Vol. 8329, ISBN: 978-3-642-45391, Springer, 2013, pp. 152-152. (extended version of the paper presented at MSM 2012)

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• 44

  Mining an Enriched Social Graph to Model Cross-Thread Community Interactions and Interests

  Tarique Anwar and Muhammad Abulaish, In Proceedings of the 3rd International Workshop on Modeling Social Media: Collective Intelligence in Social Media - Co-located with the 23rd ACM Conference on Hypertext and Social Media, Milwaukee, WI, USA, ACM, June 25-28, 2012, pp. 35-38.

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• 45

  DeepCKID: A Multi-Head Attention-Based Deep Neural Network Model Leveraging Classwise Knowledge to Handle Imbalanced Textual Data

  Amit Kumar Sah and Muhammad Abulaish, Machine Learning with Applications, Volume 17, Elsevier, September 2024, 100575.

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• 46

  A Comprehensive Empirical Evaluation of Existing Word Embedding Approaches

  Obaidullah Zaland, Muhammad Abulaish, and Mohd Fazil, arXiv preprint arXiv:2303.07196, 13 March 2023, pp. 1-28. DOI: https://doi.org/10.48550/arXiv.2303.07196

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• 47

  DeepADA: An Attention-Based Deep Learning Framework for Augmenting Imbalanced Textual Datasets

  Amit Kumar Sah and Muhammad Abulaish, In Proceedings of the 19th International Conference on Natural Language Processing (ICON), New Delhi, India, ACL, 15-18 December 2022, pp. 318-327.

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• 48

  ADA: An Attention-Based Data Augmentation Approach to Handle Imbalanced Textual Datasets

  Amit Kumar Sah and Muhammad Abulaish, In Proceedings of the 29th International Conference on Neural Information Processing (ICONIP), IIT Indore, India, CCIS, Vol. 1791, Springer, 22-26 November 2022, pp. 477-488.

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• 49

  DRCoVe: An AugmentedWord Representation Approach using Distributional and Relational Context

  Md. Aslam Parwez, Muhammad Abulaish, and Mohd. Fazil, In Proceedings of the 16th International Conference on Natural Language Processing, LTRC, IIIT Hyderabad, India, December 18-21, 2019, pp. 220-229.

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• 50

  Multi-Label Classification of Microblogging Texts Using Convolution Neural Network

  Md. Aslam Parwez, Muhammad Abulaish, and Jahiruddin, IEEE Access, vol. 7, 2019, pp. 68678-68691.

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• 51

  A Text Data Augmentation Approach for Improving the Performance of CNN

  Muhammad Abulaish and Amit Kumar Sah, In Proceedings of the MINDS Workshop, 11th International Conference on Communication Systems and Networks (COMSNETS), Bangalore, India, Jan. 7-11, 2019, pp. 625-630.

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• 52

  Document-Level Sentiment Analysis through Incorporating Prior Domain Knowledge into Logistic Regression

  Nesar Ahmad Wasi and Muhammad Abulaish, In Proceedings of the 19th International Conference on Web Intelligence (WI), Malbourne, Australia, December 14-17, 2020, pp. 1-6.

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• 53

  SentiLangN: A Language-Neutral Graph-Based Approach for Sentiment Analysis in Microblogging Data

  Muhammad Abulaish, Mohammad Rahimi, Habeebullah Ebrahemi, and Amit Kumar Sah, In Proceedings of the 18th IEEE/WIC/ACM International Conference on Web Intelligence (WI), Thessaloniki, Greece, October 14-17, 2019, pp. 461-465.

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• 54

  OMCR: An Opinion-Based Multi-Criteria Ranking Approach

  Muhammad Abulaish, Jahiruddin, and Anjali Bhardwaj, Journal of Intelligent and Fuzzy Systems, vol. 36, no. 1, IOS Press, 2019, pp. 397-411.

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• 55

  Statistical Features Identification for Sentiment Analysis using Machine Learning Techniques

  Ahmad Kamal and Muhammad Abulaish, In Proceedings of the International Symposium on Computational and Business Intelligence (ISCBI), Delhi, India, IEEE, Aug. 24-26, 2013, pp. 178-181.

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• 56

  Mining Feature-Opinion Pairs and their Reliability Scores from Web Opinion Sources

  Ahmad Kamal, Muhammad Abulaish and Tarique Anwar, In Proceedings of the 2nd International Conference on Web Intelligence, Mining and Semantics (WIMS), Craiova, Romania, ACM, June 13-15, 2012, pp. 15:1-15:7.

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• 57

  DeepSBD: A Deep Neural Network Model With Attention Mechanism for SocialBot Detection

  Mohd Fazil, Amit Kumar Sah, and Muhammad Abulaish, IEEE Transactions on Information Forensics and Security, Vol. 16, 2021, pp. 4211-4223.

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• 58

  A Machine Learning Approach for Socialbot Targets Detection on Twitter

  Muhammad Abulaish and Mohd Fazil, Journal of Intelligent & Fuzzy Systems, vol. 40, no. 3, IOS Press, 2021, pp. 4115-4133.

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• 59

  Socialbots: Impacts, Threat-Dimensions, and Defense Challenges

  Muhammad Abulaish and Mohd Fazil, IEEE Technology and Society Magazine, vol. 39, no. 3, IEEE, 2020, pp. 52-61.

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• 60

  A Hierarchical Attention-Based Neural Network Model for Socialbot Detection in OSN

  Mohd Fazil, Amit Kumar Sah and Muhammad Abulaish, In Proceedings of the 19th International Conference on Web Intelligence (WI), Malbourne, Australia, December 14-17, 2020, pp. 1-8.

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• 61

  A Socialbots Analysis-Driven Graph-Based Approach for Identifying Coordinated Campaigns in Twitter

  Mohd. Fazil and Muhammad Abulaish, Journal of Intelligent & Fuzzy Systems, vol. 38, no. 3, IOS Press, 2020, pp. 2961-2977.

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• 62

  Identifying Active, Reactive, and Inactive Targets of Socialbots in Twitter

  Mohd. Fazil, and Muhammad Abulaish, In Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence (WI), Lepzig, Germany, August 23-26, 2017, pp. 573-580.

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• 63

  A Hybrid Approach for Detecting Automated Spammers in Twitter

  Mohd Fazil and Muhammad Abulaish, IEEE Transactions on Information Forensics and Security, Volume 13, Issue 11, 2018, pp. 2707-2719.

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• 64

  Classifier Ensembles using Structural Features for Spammer Detection in Online Social Networks

  Muhammad Abulaish and Sajid Y. Bhat, Foundations of Computing and Decision Sciences, Volume: 40, Issue: 2, Poznan University of Technology, Poland, 2015, pp. 89-105.

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• 65

  Communities against Deception in Online Social Networks

  Sajid Y. Bhat and Muhammad Abulaish, Computer Fraud and Security, Volume: 2014, Issue: 2, Elsevier, Feb. 2014, pp. 8-16.

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• 66

  Spammer Classification using Ensemble Methods over Structural Social Network Features

  Sajid Y. Bhat, Muhammad Abulaish, and Abdulrahman A. Mirza, In Proceedings of the 14th IEEE/WIC/ACM International Conference on Web Intelligence (WI’14), Warsaw, Poland, Aug. 11-14, 2014, pp. 454-458.

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• 67

  A Generic Statistical Approach for Spam Detection in Online Social Networks

  Faraz Ahmed and Muhammad Abulaish, Computer Communications, Volume: 36, Issue: 10-11, Elsevier, June 2013, pp. 1120-1129.

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• 68

  Community-Based Features for Identifying Spammers in Online Social Networks

  Sajid Y. Bhat and Muhammad Abulaish, In Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), Niagara Falls, Canada, ACM, Aug. 25-28, 2013, pp. 100-107.

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• 69

  Identification of Sybil Communities Generating Context-Aware Spam on Online Social Networks

  Faraz Ahmad and Muhammad Abulaish, In Proceedings of the 15th Asia-Pacific Web Conference (APWeb), Sydney, Australia, April 4-6, 2013, pp. 268-279.

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• 70

  Graph-Based Learning Model for Detection of SMS Spam on Smart Phones

  Muhammad Z. Rafique and Muhammad Abulaish, In Proceedings of the 8th International Wireless Communications and Mobile Computing Conference (IWCMC) – Trust, Privacy and Security Symposium, Limasol, Cyprus, IEEE, Aug 27-31, 2012, pp. 1046-1051.

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• 71

  A Statistical Pattern Mining Approach for Identifying Wireless Network Intruders

  Nur Al-H. Haldar, Muhammad Abulaish and Syed A. Pasha, In Proceedings of the 5th International Conference on Network Security and Applications (CNSA), Chennai, India, Advances in Intelligent Systems and Computing, Volume: 176, Springer, July 13-15, 2012, pp. 131-140.

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• 72

  An MCL-Based Approach for Spam Profile Detection in Online Social Networks

  Faraz Ahmad and Muhammad Abulaish, In Proceedings of the 11th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (IEEE-TrustCom), Liverpool, UK, IEEE, June 25-27, 2012, pp. 602-608.

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• 73

  An Activity Pattern Based Wireless Intrusion Detection System

  Nur Al-H. Haldar, Muhammad Abulaish, and Syed A. Pasha, In Proceedings of the 9th International Conference on Information Technology: New Generations (ITNG), Las Vegas, Nevada, USA, IEEE, April 16-18, 2012, pp. 846-847.

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• 74

  A Data Mining Framework for Securing 3G Core Network from GTP Fuzzing Attacks

  Faraz Ahmed, Muhammad Z. Rafique and Muhammad Abulaish, In Proceedings of the 7th International Conference on Information Systems Security (ICISS), Kolkata, India, Dec 15-19, 2011, pp. 280-293.

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• 75

  xMiner: Nip the Zero Day Exploits in the Bud

  Muhammad Z. Rafique and Muhammad Abulaish, In Proceedings of the 10th IEEE International Symposium on Network Computing and Applications (IEEE-NCA), Cambridge, MA, USA, Aug 25-27, 2011, pp. 99-106.

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• 76

  conteNXt: A Graph-Based Approach to Assimilate Content and Context for Event Detection in OSN

  Sielvie Sharma, Muhammad Abulaish, and Tanvir Ahmad, IEEE Transactions on Computational Social Systems, Volume 11, Issue 4, pp. 5483-5495, 2024.

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• 77

  proBE - A BERTweet-Attentive Prototype Few-shot Model for Event Detection in OSN

  Sielvie Sharma, Muhammad Abulaish, and Tanvir Ahmad, In Proceedings of the 22nd IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), Venice, Italy, 26-29 October 2023, pp. 1-8.

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• 78

  A Multi-Attributed Graph-Based Approach for Text Data Modeling and Event Detection in Twitter

  Muhammad Abulaish, Sielvie Sharma, and Mohd Fazil, In Proceedings of the Social Networking Workshop at the 11th International Conference on Communication Systems and Networks (COMSNETS), Bangalore, India, Jan. 7-11, 2019, pp. 703-708. (received best paper award)

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• 79

  Twitter Data Mining for Events Classification and Analysis

  Nausheen Azam, Jahiruddin, Muhammad Abulaish, and Nur Al-Hasan Haldar, In Proceedings of the 2nd International Conference on Soft Computing and Machine Intelligence (ISCMI’15), Hong Kong, IEEE CPS, Nov. 23-24, 2015, pp. 79-83.

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• 80

  A Multilayer Perceptron Architecture for Detecting Deceptive Cryptocurrencies in Coin Market Capitalization Data

  Harshita Dalal and Muhammad Abulaish, In Proceedings of the 18th IEEE/WIC/ACM International Conference on Web Intelligence (WI), Thessaloniki, Greece, October 14-17, 2019, pp. 438-442.

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• 81

  Ranking Radically Influential Web Forum Users

  Tarique Anwar and Muhammad Abulaish, IEEE Transactions on Information Forensics and Security, Volume: 10, Issue: 6, 2015, pp. 1289-1298.

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• 82

  BiSAL - A bilingual sentiment analysis lexicon to analyze Dark Web forums for cyber security

  Khalid Al-Rowaily, Muhammad Abulaish, Nur Al-Hasan Haldar, and Majed Al-Rubaiana, Digital Investigation, vol. 14, Elsevier, September 2015, pp. 53-62.

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• 83

  Namesake Alias Mining on the Web and its Role Towards Suspect Tracking

  Tarique Anwar and Muhammad Abulaish, Information Sciences, Volume: 276, 2014, pp. 123-145.

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• 84

  A Social Graph Based Text Mining Framework for Chat Log Investigation

  Tarique Anwar and Muhammad Abulaish, Digital Investigation, Volume: 11, Issue: 4, Elsevier, 2014, pp. 349-362.

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• 85

  An MCL-Based Text Mining Approach for Namesake Disambiguation on the Web

  Tarique Anwar and Muhammad Abulaish, In Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence (WI), Macau, Dec. 4-7, 2012, pp. 40-44.

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• 86

  Identifying Cliques in Dark Web Forums – An Agglomerative Clustering Approach

  Tarique Anwar and Muhammad Abulaish, In Proceedings of the 10th International Conference on Intelligence and Security Informatics (IEEE-ISI), Washington DC, USA, IEEE, June 11-14, 2012, pp. 171-174.

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• 87

  Web Content Mining for Alias Identification: A first step towards suspect tracking

  Tarique Anwar, Muhammad Abulaish and Khaled S. Alghathbar, In Proceedings of the IEEE International Conference on Intelligence and Security Informatics (ISI), Bejing, China, July 10-12, 2011, pp. 195-197.

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• 88

  Efficient Subgraph Isomorphism Finding in Large Graphs using Eccentricity and Limiting Recursive Calls

  Zubair Ali Ansari, Muhammad Abulaish, and Irfan Rashid Thoker, arXiv preprint arXiv:2312.02988, 21 November 2023.

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• 89

  An Efficient Subgraph Isomorphism Solver for Large Graphs

  Zubair Ali Ansari, Jahiruddin, and Muhammad Abulaish, IEEE Access, Vol. 9, 2021, pp. 61697-61709.

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• 90

  SubISO: A Scalable and Novel Approach for Subgraph Isomorphism Search in Large Graph

  Muhammad Abulaish, Zubair Ali Ansari, and Jahiruddin, In Proceedings of the 11th International Conference on Communication Systems and Networks (COMSNETS), Bangalore, India, Jan. 7-11, 2019, pp. 102-109.

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• 91

  A Novel Weighted Distance Measure for Multi-Attributed Graph

  Muhammad Abulaish and Jahiruddin, In Proceedings of the 10th Annual ACM India Conference (COMPUTE), Bhopal, India, Nov. 16-18, 2017, pp. 39-47.

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• 92

  Efficient Processing of SPARQL Queries Over GraphFrames

  Ramzan Ali Bahrami, Jayati Gulati, and Muhammad Abulaish, In Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence (WI), Lepzig, Germany, August 23-26, 2017, pp. 678-685.

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• 93

  Skull stripping on multimodal brain MRI scans using thresholding and morphology

  Sajid Y Bhat, Afnan Naqshbandi, and Muhammad Abulaish, The Imaging Science Journal, Taylor & Francis, Volume 72, Issue 4, pp. 466-478, 2023.

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• 94

  MINDS: A Multi-label Emotion and Sentiment Classification Dataset Related to COVID-19

  Anjali Bhardwaj and Muhammad Abulaish, In Proceedings of the Workshop on Context-aware NLP in eHealth, Co-located with the 19th International Conference on Natural Language Processing (ICON), New Delhi, India, 15-18 December 2022, pp. 1-11.

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• 95

  A Social Media Time-Series Data Analytics Approach for Digital Epidemiology

  Md. Aslam Parwez, Muhammad Abulaish, and Jahiruddin, In Proceedings of the 19th International Conference on Web Intelligence (WI), Malbourne, Australia, Malbourne, Australia, December 14-17, 2020, pp. 1-8.

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• 96

  Exploring Molecular Descriptors and Fingerprints to Predict mTOR Kinase Inhibitors using Machine Learning Techniques

  Chetna Kumari, Muhammad Abulaish, and Naidu Subbarao, IEEE/ACM Transactions on Computational Biology and Bioinformatics, Volume: 18, Issue: 5, 2021, pp. 1902-1913.

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• 97

  Using SMOTE to Deal with Class-Imbalance Problem in Bioactivity Data to Predict mTOR Inhibitors

  Chetna Kumari, Muhammad Abulaish, and Naidu Subbarao, Springer Nature Computer Science 1, Article no. 150 (2020), Springer Nature, pp. 1-12.

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• 98

  DiseaSE: A Biomedical Text Analytics System for Disease Symptom Extraction and Characterization

  Muhammad Abulaish, Md. Aslam Parwez, and Jahiruddin, Journal of Biomedical Informatics, vol. 100 (2019) 103324, pp. 1-15..

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• 99

  Predicting JNK1 Inhibitors Regulating Autophagy in Cancer using Random Forest Classifier

  Chetna Kumari, Naidu Subbarao, and Muhammad Abulaish, bioRxiv, 2018, pp. 1-13, URL: https://doi.org/10.1101/459669

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• 100

  Biomedical Text Analytics for Characterizing Climate-Sensitive Disease

  Md. Aslam Parwez, Muhammad Abulaish and Jahiruddin, In Proceedings of the International Conference on Computational Intelligence and Data Science, Noida, India, Procedia Computer Science, vol. 132, Elsevier, April 7-8, 2018, pp. 1002-1011.

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• 101

  Web-Content Mining for Learning Generic Relations and their Associations from Textual Biological Data

  Muhammad Abulaish and Jahiruddin, Mourad Elloumi and Albert Y. Zomaya (Eds.), Biological Knowledge Discovery Handbook: Preprocessing, Mining and Post-Processing of Biological Data, John Wiley & Sons, ISBN: 9781118132739, 2013, pp. 919-942.

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• 102

  Relation Characterization using Ontological Concepts

  Muhammad Abulaish, In Proceedings of the 8th International Conference on Information Technology: New Generations (ITNG), Las Vegas, Nevada, USA, April 11-13, 2011, pp. 585-590.

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• 103

  A Concept-Driven Biomedical Knowledge Extraction and Visualization Framework for Conceptualization of Text Corpora

  Jahiruddin, Muhammad Abulaish, and Lipika Dey, Journal of Biomedical Informatics, Volume: 43, Issue: 6, Elsevier, 2010, pp. 1020-1035.

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• 104

  Semantic Integration of Information through Relation Mining – Application to Bio-Medical Text Processing

  Lipika Dey, Muhammad Abulaish, Rohit Goyel, and Jahiruddin, In Proceedings of the 2nd International Conference on Pattern Recognition and Machine Intelligence (PReMI), Kolkata, India, LNCS, Springer-Verlag, Dec. 18-22, 2007, pp. 365-372.

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• 105

  Relation Extraction from Texts for Efficient Access to Information – Application to Bio-Medical Text Processing

  Lipika Dey, Muhammad Abulaish and Jahiruddin, In Proceedings of the 3rd Indian International Conference on Artificial Intelligence (IICAI), Pune, India, Dec 17-19, 2007, pp. 1719-1737.

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• 106

  An Ontology-based Pattern Mining System for Extracting Information from Biological Texts

  Muhammad Abulaish and Lipika Dey, In Proceedings of the 10th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing (RSFDGrC), Canada, LNCS-3642, Springer-Verlag, 2005, pp. 420-429.

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• 107

  P2DF: A Privacy-Preserving Digital Forensics Framework

  Muhammad Abulaish, Nur Al-Hasan Haldar and Jahiruddin, International Journal of Digital Crime and Forensics (IJDCF), Vol 13, No. 6, 2021, pp. 1-15.

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• 108

  Advances in Digital Forensics Frameworks and Tools: A Comparative Insight and Ranking

  Muhammad Abulaish and Nur Al-Hasan Haldar, International Journal of Digital Crime and Forensics, vol. 10, no. 2, 2018, pp. 95-119.

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• 109

  Data Warehousing Based Computer Forensics Investigation Framework

  Waleed Halboob, Ramlan Mahmod, Muhammad Abulaish, Haider Abbas, and Kashif Saleem, In Proceedings of the 12th International Conference on Information Technology - New Generations (ITNG), Las Vegas, NV, USA , April 13-15, 2015, pp. 163-168.

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• 110

  DigLA - A Digsby Log Analysis Tool to Identify Forensic Artifacts

  Muhammad Yasin and Muhammad Abulaish, Digital Investigation, Volume: 9, Issue: 3-4, Elsevier, 2013, pp. 222-234.

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• 111

  Forensic Analysis of Digsby Log Data to Trace Suspected User Activities

  Muhammad Yasin, Muhammad Abulaish and Muhammad N. N. Elmogy, In Proceedings of the 9th FTRA International Conference on Secure and Trust Computing, Data Management, and Applications (STA), Gwangju, Korea, LNEE 180, Springer, Sep 6-8, 2012, pp. 119-126.

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• 112

  Quaternary Privacy-Levels Preservation in Computer Forensics Investigation Process

  Waleed Halboob, Muhammad Abulaish and Khaled S. Alghathbar, In Proceedings of the 6th International Conference for Internet Technology and Secured Transactions (ICITST), Abu Dhabi, UAE, Dec 11-14, 2011, pp. 777-782.

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• 113

  The Dark Crypto World!

  Muhammad Abulaish and Harshita Dalal, IEEE Internet Computing, Volume 28, Issue 3, pp. 26-36, 2024.

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• 114

  The role of lifelong machine learning in bridging the gap between human and machine learning: A scientometric analysis

  Muhammad Abulaish, Nesar Ahmad Wasi, and Shachi Sharma, Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, Volume 14, Issue 2, pp. e1526

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• 115

  SKEDS - An External Knowledge Supported Logistic Regression Approach for Document-level Sentiment Classification

  Nesar Ahmad Wasi and Muhammad Abulaish, Expert Systems with Applications, Volume 238, Part D, Elsevier, 15 March 2024, 121987.

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• 116

  An Unseen Features-Enriched Lifelong Machine Learning Framework

  Nesar Ahmad Wasi and Muhammad Abulaish, In Proceedings of the International Conference on Computational Science and its Applications (ICCSA), Athens, Greece, 3-6 July 2023, LNCS-13957, pp. 471-481. DOI: https://doi.org/10.1007/978-3-031-36808-0_34

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• 117

  An Unseen Features Enhanced Text Classification Approach

  Nesar Ahmad Wasi and Muhammad Abulaish, In Proceedings of the International Joint Conference on Neural Networks (IJCNN), Queensland, Australia,18-23 June 2023, pp. 1-9. DOI: DOI: 10.1109/IJCNN54540.2023.10191857

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• 118

  Clustering Periodic Frequent Patterns Using Fuzzy Statistical Parameters

  Fokrul A. Mazarbhuiya and Muhammad Abulaish, International Journal of Innovative Computing, Information and Control, Volume: 8, Issue: 3B, March 2012, pp. 2113-2124.

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• 119

  Mining Local Association Rules from Temporal Data Set

  Fokrul A. Mazarbhuiya, Muhammad Abulaish, Anjana K. Mahanta, and Tanvir Ahmad, In Proceedings of the 3rd International Conference on Pattern Recognition and Machine Intelligence (PReMI), Delhi, India, LNCS-5909, Springer-Verlag, Dec 16-20, 2009, pp. 255-260.

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• 120

  A Layered Approach for Summarization and Context Learning from Microblogging Data

  Muhammad Abulaish, Md. Imran Hossain Showrov, and Mohd Fazil, In Proceedings of the 20th International Conference on Information Integration and Web-based Applications & Services (iiWAS), Yogyakarta, Indonesia, Nov. 19-21, 2018, pp. 70-78.

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• 121

  Why a Socialbot is Effective in Twitter? A Statistical Insight

  Mohd Fazil and Muhammad Abulaish, In Proceedings of the 9th International Conference on Communication Systems and Networks (COMSNETS), Social Networking Workshop, Bengaluru, India, January 4-8, 2017, pp. 564-569. (received best paper award)

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• 122

  Overlapping Social Network Communities and Viral Marketing

  Sajid Y. Bhat and Muhammad Abulaish, In Proceedings of the International Symposium on Computational and Business Intelligence (ISCBI), Delhi, India, IEEE, Aug. 24-26, 2013, pp. 243-346.

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• 123

  Opinion-Based Imprecise Query Answering

  Muhammad Abulaish, Tanvir Ahmad, Jahiruddin and Mohammed N. Doja, In Proceedings of the 14th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Hyderabad, India, LNAI-6119, Part-II, Springer-Verlag, June 21-24, 2010, pp. 238-248.

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• 124

  Automated Summarization and Visualization of Unstructured Text Documents

  Muhammad Abulaish and Khaled S. Alghathbar, In Proceedings of the International Conference on IT and Business Intelligence (ITBI), Nagpur, India, November 12-14, 2010.

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• 125

  A Relation Mining and Visualization Framework for Automated Text Summarization

  Muhammad Abulaish, Jahiruddin and Lipika Dey, In Proceedings of the 3rd International Conference on Pattern Recognition and Machine Intelligence (PReMI), Delhi, India, LNCS-5909, Springer-Verlag, Dec. 16-20, 2009, pp. 249-254.

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• 126

  Feature and Opinion Mining for Customer Review Summarization

  Muhammad Abulaish, Tanvir Ahmad, Jahiruddin, and Mohammed N. Doja, In Proceedings of the 3rd International Conference on Pattern Recognition and Machine Intelligence (PReMI), Delhi, India, LNCS-5909, Springer-Verlag, Dec. 16-20, 2009, pp. 219-224.

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• 127

  Mining Biological Interactions from Biomedical Texts for Efficient Query Answering

  Muhammad Abulaish, Jahiruddin and Lipika Dey, Jake Y. Chen and Stefano Lonardi (Eds.), Biological Data Mining, Chapman & Hall/CRC Data Mining and Knowledge Discovery Series, Taylor and Francis, ISBN: 9781420086843, 2009, pp. 485-527.

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• 128

  A Fuzzy Ontology-Based Text Mining System for Knowledge Acquisition, Ontology Enhancement and Query Answering from Bio-Medical Texts

  Lipika Dey and Muhammad Abulaish, Gary B. Fogel, David W. Corne and Yi Pan (Eds.), Computational Intelligence in Bioinformatics. IEEE Press Series on Computational Intelligence, Wiley/ IEEE Inc., ISBN-9780470105269, 2008, pp. 297-339.

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• 129

  Biological Relation Extraction and Query Answering from Medline Abstracts using Ontology-based Text Mining

  Muhammad Abulaish and Lipika Dey, Data and Knowledge Engineering, Volume: 61, Issue: 2, Elsevier, 2007, pp. 228-262.

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• 130

  Information Extraction and Imprecise Query Answering from Web Documents

  Muhammad Abulaish and Lipika Dey, Web Intelligence and Agent Systems – An International Journal, Volume: 4, Issue: 4, IOS Press, Netherland, 2006, pp. 407-429.

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• 131

  Ontology Enhancement for Including Newly Acquired Knowledge about Concept Descriptions and Answering Imprecise Queries

  Lipika Dey and Muhammad Abulaish, David Taniar and Johanna W. Rahayu (Eds.), Web Semantics and Ontology, IGI Global, USA, ISBN: 9781591409052, 2005, pp. 189-225.

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• 132

  Intelligent Query Processing Using Semantic Web and Ontology

  Muhammad Abulaish and Lipika Dey, Journal of Computer Society of India, Volume: 34, Issue: 2, CSI, 2004, pp. 32-41.

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• 133

  OntoLSA - An Integrated Text Mining System for Ontology Learning and Sentiment Analysis

  Ahmad Kamal, Muhammad Abulaish, and Jahiruddin, Witold Pedrycz and Shyi-Ming Chen (Eds.) Sentiment Analysis and Ontology Engineering, Studies in Computational Intelligence 639, Springer, ISBN: 978-3-319-30317-8, 2016, pp. 399-423.

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• 134

  A Security Information Management Ontology

  Muhammad Abulaish, Syed I. Nabi, Khaled S. Alghathbar and Azeddine Chikh, In Proceedings of the 8th IEEE/FTRA International Conference on Secure and Trust Computing, Data Management, and Applications (STA), Loutraki, Greece, June 28-30, 2011, pp, 201-208.

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• 135

  An Ontology Based Information Security Requirements Engineering Framework

  Azeddine Chikh, Muhammad Abulaish, Syed I. Nabi and Khaled S. Alghathbar, In Proceedings of the 8th IEEE/FTRA International Conference on Secure and Trust Computing, Data Management, and Applications (STA), Loutraki, Greece, June 28-30, 2011, pp, 139-146.

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• 136

  An Ontology Enhancement Framework to Accommodate Imprecise Concepts and Relations

  Muhammad Abulaish, Journal of Emerging Technologies in Web Intelligence, Volume: 1, Issue: 1, Academy Publisher, Finland, 2009, pp. 22-36.

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• 137

  Fuzzy Ontologies for Handling Uncertainties and Inconsistencies in Domain Knowledge Description

  Lipika Dey and Muhammad Abulaish, In Proceedings of the IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) organized as a part of the IEEE World Congress on Computational Intelligence, Hong-Kong, China, June 1-6, 2008, pp. 1366-1373.

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• 138

  A Fuzzy Ontology Generation Framework for Handling Uncertainties and Non-uniformity in Domain Knowledge Description

  Muhammad Abulaish and Lipika Dey, In Proceedings of the International Conference on Computing: Theory and Applications (ICCTA), Kolkata, India, March 5-7, 2007, pp. 287-293.

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• 139

  Ontological Representation for Links into the Future

  Muhammad T. Afzal and Muhammad Abulaish, In Proceedings of the International Conference on Convergence Information Technology (ICCIT), Korea, 2007, pp. 1832-1837.

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• 140

  A Rough-Fuzzy Ontology Generation Framework and Its Application to Bio-medical Text Processing

  Lipika Dey, Muhammad Abulaish, Rohit Goyal and Kumar Shubham, In Proceedings of the 5th Atlantic Web Intelligence Conference (AWIC), Fontainebleau, France. Advances in Soft Computing Series, Volume: 43, Springer Berlin/Heidelberg, June 25-27, 2007, pp. 74–79.

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• 141

  Interoperability among Distributed Overlapping Ontologies – A Fuzzy Ontology Framework

  Muhammad Abulaish and Lipika Dey, In Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence (WI), Hong Kong, 2006, pp. 397-403.

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• 142

  Enhancing a Biological Concept Ontology to Fuzzy Relational Ontology with Relations Mined from Text

  Lipika Dey and Muhammad Abulaish, In Proceedings of the 5th International Conference on Rough Sets and Current Trends in Computing (RSCTC), Japan, LNCS-4259, Springer-Verlag, 2006, pp. 527-536.

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• 143

  Biological Ontology Enhancement with Fuzzy Relations: A Text-Mining Framework

  Muhammad Abulaish and Lipika Dey, In Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence (WI), France, 2005, pp. 379-385.

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• 144

  Knowledge Enhancement through Ontology-Gided Text Mining

  Muhammad Abulaish and Lipika Dey, In Proceedings of the 1st International Conference on Pattern Recognition and Machine Intelligence (PReMI), Kolkata, India, LNCS-3776, Springer-Verlag, 2005, pp. 601-604.

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• 145

  A Framework for Extending Fuzzy Description Logic to Ontology Based Document Processing

  Shailendra Singh, Lipika Dey and Muhammad Abulaish, In Proceedings of the Advances in Web Intelligence: 2nd International Atlantic Web Intelligence Conference (AWIC), Cancun, Mexico, LNCS-3034, Springer-Verlag, 2004, pp. 95-104.

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• 146

  Using Part-of-Speech Patterns and Domain Ontology to Mine Imprecise Concepts from Text Documents

  Muhammad Abulaish and Lipika Dey, In Proceedings of the 6th International Conference on Information Integration and Web Based Applications and Services (iiWAS), Jakarta, Indonesia, Sep 27-29, 2004, pp. 91-100.

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• 147

  Ontology Based Fuzzy Deductive System to Handle Imprecise Knowledge

  Muhammad Abulaish and Lipika Dey, In Proceedings of the 4th International Conference on Intelligent Technologies, Chiang Mai, Thailand, 2003, pp. 271-278.

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• 1

  conteNXt: A Graph-Based Approach to Assimilate Content and Context for Event Detection in OSN

  Sielvie Sharma, Muhammad Abulaish, and Tanvir Ahmad, IEEE Transactions on Computational Social Systems, Volume 11, Issue 4, pp. 5483-5495, 2024.

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• 2

  DeepCKID: A Multi-Head Attention-Based Deep Neural Network Model Leveraging Classwise Knowledge to Handle Imbalanced Textual Data

  Amit Kumar Sah and Muhammad Abulaish, Machine Learning with Applications, Volume 17, Elsevier, September 2024, 100575.

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• 3

  The Dark Crypto World!

  Muhammad Abulaish and Harshita Dalal, IEEE Internet Computing, Volume 28, Issue 3, pp. 26-36, 2024.

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• 4

  The role of lifelong machine learning in bridging the gap between human and machine learning: A scientometric analysis

  Muhammad Abulaish, Nesar Ahmad Wasi, and Shachi Sharma, Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, Volume 14, Issue 2, pp. e1526

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• 5

  A MapReduce-Based Approach for Fast Connected Components Detection from Large-Scale Networks

  Sajid Y Bhat and Muhammad Abulaish, Big Data, Mary Ann Liebert, Inc., publishers, 2024. URL: https://doi.org/10.1089/big.2022.0264

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• 6

  Contextualized Satire Detection in Short Texts Using Deep Learning Techniques

  Ashraf Kamal, Muhammad Abulaish, and Jahiruddin, Journal of Web Engineering, Volume 23, Issue 1, pp. 27-52, 2024.

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• 7

  SKEDS - An External Knowledge Supported Logistic Regression Approach for Document-level Sentiment Classification

  Nesar Ahmad Wasi and Muhammad Abulaish, Expert Systems with Applications, Volume 238, Part D, Elsevier, 15 March 2024, 121987.

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• 8

  Skull stripping on multimodal brain MRI scans using thresholding and morphology

  Sajid Y Bhat, Afnan Naqshbandi, and Muhammad Abulaish, The Imaging Science Journal, Taylor & Francis, Volume 72, Issue 4, pp. 466-478, 2023.

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• 9

  SbChain+: An Enhanced Snowball-Chain Approach for Detecting Communities in Social Graphs

  Jayati Gulati and Muhammad Abulaish, International Journal of Advanced Computer Science and Applications, Vol. 14, Issue 6, 2023, pp. 1129-1140. DOI:10.14569/IJACSA.2023.01406121

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• 10

  A Hybrid Recommendation Technique using Topic Embedding for Rating Prediction and to Handle Cold-Start Problem

  Vineet K. Sejwal and Muhammad Abulaish, Expert Systems with Applications, Volume 209, 15 December 2022, pp. 118307.

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• 11

  Domain-Specific Keyword Extraction Using Joint Modeling of Local and Global Contextual Semantics

  Muhammad Abulaish, Mohd Fazil, and Muhammed J. Zaki, ACM Transactions on Knowledge Discovery from Data, Article No.: 70, 2022, pp, 1-30.

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• 12

  OvSbChain: An Enhanced Snowball Chain Approach for Detecting Overlapping Communities in Social Graphs

  Jayati Gulati, Muhammad Abulaish, and Sajid Y. Bhat, International Journal of Advanced Computer Science and Applications, Volume 13, Issue 5, 2022, pp. 1-10.

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• 13

  DeepSBD: A Deep Neural Network Model With Attention Mechanism for SocialBot Detection

  Mohd Fazil, Amit Kumar Sah, and Muhammad Abulaish, IEEE Transactions on Information Forensics and Security, Vol. 16, 2021, pp. 4211-4223.

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• 14

  CAT-BiGRU: Convolution and Attention with Bi-directional Gated Recurrent Unit for Self-Deprecating Sarcasm Detection

  Ashraf Kamal and Muhammad Abulaish, Cognitive Computation, Topical Collection: A Decade on Sentic Computing, Vol. 14, Springer, 2021, pp. 91-109.

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• 15

  A Machine Learning Approach for Socialbot Targets Detection on Twitter

  Muhammad Abulaish and Mohd Fazil, Journal of Intelligent & Fuzzy Systems, vol. 40, no. 3, IOS Press, 2021, pp. 4115-4133.

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• 16

  An Efficient Subgraph Isomorphism Solver for Large Graphs

  Zubair Ali Ansari, Jahiruddin, and Muhammad Abulaish, IEEE Access, Vol. 9, 2021, pp. 61697-61709.

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• 17

  P2DF: A Privacy-Preserving Digital Forensics Framework

  Muhammad Abulaish, Nur Al-Hasan Haldar and Jahiruddin, International Journal of Digital Crime and Forensics (IJDCF), Vol 13, No. 6, 2021, pp. 1-15.

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• 18

  A Survey of Figurative Language and its Computational Detection in Online Social Networks

  Muhammad Abulaish, Ashraf Kamal, and Mohammed J. Zaki, ACM Transactions on the Web, Volume 14, Issue 1, 2020, pp. 3:1-3:52.

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• 19

  Socialbots: Impacts, Threat-Dimensions, and Defense Challenges

  Muhammad Abulaish and Mohd Fazil, IEEE Technology and Society Magazine, vol. 39, no. 3, IEEE, 2020, pp. 52-61.

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• 20

  Exploring Molecular Descriptors and Fingerprints to Predict mTOR Kinase Inhibitors using Machine Learning Techniques

  Chetna Kumari, Muhammad Abulaish, and Naidu Subbarao, IEEE/ACM Transactions on Computational Biology and Bioinformatics, Volume: 18, Issue: 5, 2021, pp. 1902-1913.

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• 21

  CAMO: A Context-Aware Movie Ontology Generated from LOD and Movie Databases

  Vineet K. Sejwal and Muhammad Abulaish, Multimedia Tools and Applications, Springer Nature, 2020, pp. 1-23.

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• 22

  CRecSys: A Context-Based Recommender System Using Collaborative Filtering and LOD

  Vineet Kumar Sejwal, Muhammad Abulaish, and Jahiruddin, IEEE Access, Volume: 8, August 27, 2020, pp. 158432 - 158448.

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• 23

  A Trust-Based Collaborative Filtering Approach to Design Recommender Systems

  Vineet Kumar Sejwal and Muhammad Abulaish, International Journal of Advanced Computer Science and Applications, Volume: 11, Issue: 10, 2020, pp. 1 - 12.

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• 24

  Using SMOTE to Deal with Class-Imbalance Problem in Bioactivity Data to Predict mTOR Inhibitors

  Chetna Kumari, Muhammad Abulaish, and Naidu Subbarao, Springer Nature Computer Science 1, Article no. 150 (2020), Springer Nature, pp. 1-12.

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• 25

  A Socialbots Analysis-Driven Graph-Based Approach for Identifying Coordinated Campaigns in Twitter

  Mohd. Fazil and Muhammad Abulaish, Journal of Intelligent & Fuzzy Systems, vol. 38, no. 3, IOS Press, 2020, pp. 2961-2977.

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• 26

  DiseaSE: A Biomedical Text Analytics System for Disease Symptom Extraction and Characterization

  Muhammad Abulaish, Md. Aslam Parwez, and Jahiruddin, Journal of Biomedical Informatics, vol. 100 (2019) 103324, pp. 1-15..

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• 27

  Scaling Density-Based Community Detection to Large-Scale Social Networks via MapReduce Framework

  Muhammad Abulaish, Ishfaq Majid Bhat, and Sajid Yousuf Bhat, Journal of Intelligent & Fuzzy Systems, vol. 38, no. 2, IOS Press, 2019, pp. 1663-16742.

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• 28

  Multi-Label Classification of Microblogging Texts Using Convolution Neural Network

  Md. Aslam Parwez, Muhammad Abulaish, and Jahiruddin, IEEE Access, vol. 7, 2019, pp. 68678-68691.

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• 29

  OMCR: An Opinion-Based Multi-Criteria Ranking Approach

  Muhammad Abulaish, Jahiruddin, and Anjali Bhardwaj, Journal of Intelligent and Fuzzy Systems, vol. 36, no. 1, IOS Press, 2019, pp. 397-411.

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• 30

  A Hybrid Approach for Detecting Automated Spammers in Twitter

  Mohd Fazil and Muhammad Abulaish, IEEE Transactions on Information Forensics and Security, Volume 13, Issue 11, 2018, pp. 2707-2719.

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• 31

  Modeling Topic Evolution in Twitter: An Embedding-Based Approach

  Muhammad Abulaish and Mohd Fazil, IEEE Access, vol. 6, 2018, pp. 64847-64857.

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• 32

  Advances in Digital Forensics Frameworks and Tools: A Comparative Insight and Ranking

  Muhammad Abulaish and Nur Al-Hasan Haldar, International Journal of Digital Crime and Forensics, vol. 10, no. 2, 2018, pp. 95-119.

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• 33

  Ranking Radically Influential Web Forum Users

  Tarique Anwar and Muhammad Abulaish, IEEE Transactions on Information Forensics and Security, Volume: 10, Issue: 6, 2015, pp. 1289-1298.

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• 34

  OCMiner: A Density-Based Overlapping Community Detection Method for Social Networks

  Sajid Y. Bhat and Muhammad Abulaish, Intelligent Data Analysis, Volume: 19, Issue: 4, IOS Press, pp. 917-947, 2015.

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• 35

  BiSAL - A bilingual sentiment analysis lexicon to analyze Dark Web forums for cyber security

  Khalid Al-Rowaily, Muhammad Abulaish, Nur Al-Hasan Haldar, and Majed Al-Rubaiana, Digital Investigation, vol. 14, Elsevier, September 2015, pp. 53-62.

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• 36

  Classifier Ensembles using Structural Features for Spammer Detection in Online Social Networks

  Muhammad Abulaish and Sajid Y. Bhat, Foundations of Computing and Decision Sciences, Volume: 40, Issue: 2, Poznan University of Technology, Poland, 2015, pp. 89-105.

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• 37

  HOCTracker: Tracking the Evolution of Hierarchical and Overlapping Communities in Dynamic Social Networks

  Sajid Y. Bhat and Muhammad Abulaish, IEEE Transactions on Knowledge and Data Engineering, Volume: 27, Issue: 4, 2014, pp. 1019-1032.

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• 38

  Namesake Alias Mining on the Web and its Role Towards Suspect Tracking

  Tarique Anwar and Muhammad Abulaish, Information Sciences, Volume: 276, 2014, pp. 123-145.

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• 39

  Communities against Deception in Online Social Networks

  Sajid Y. Bhat and Muhammad Abulaish, Computer Fraud and Security, Volume: 2014, Issue: 2, Elsevier, Feb. 2014, pp. 8-16.

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• 40

  A Social Graph Based Text Mining Framework for Chat Log Investigation

  Tarique Anwar and Muhammad Abulaish, Digital Investigation, Volume: 11, Issue: 4, Elsevier, 2014, pp. 349-362.

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• 41

  Analysis and Mining of Online Social Networks - Emerging Trends and Challenges

  Sajid Y. Bhat and Muhammad Abulaish, WIREs Data Mining and Knowledge Discovery, Volume: 3, Issue: 6, John Wiley and Sons, Nov-Dec 2013, pp. 408-444.

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• 42

  A Generic Statistical Approach for Spam Detection in Online Social Networks

  Faraz Ahmed and Muhammad Abulaish, Computer Communications, Volume: 36, Issue: 10-11, Elsevier, June 2013, pp. 1120-1129.

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• 43

  DigLA - A Digsby Log Analysis Tool to Identify Forensic Artifacts

  Muhammad Yasin and Muhammad Abulaish, Digital Investigation, Volume: 9, Issue: 3-4, Elsevier, 2013, pp. 222-234.

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• 44

  A Keyphrase-Based Tag Cloud Generation Framework to Conceptualize Textual Data

  Muhammad Abulaish and Tarique Anwar, International Journal of Adaptive, Resilient and Autonomic Systems, Volume: 4, Issue: 2, IGI Global, USA, 2013, pp. 72-93.

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• 45

  A Supervised Learning Approach for Automatic Keyphrase Extraction

  Muhammad Abulaish and Tarique Anwar, International Journal of Innovative Computing, Information and Control, Volume: 8, Issue: 9, Nov 2012, pp. 7579-7601.

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• 46

  Clustering Periodic Frequent Patterns Using Fuzzy Statistical Parameters

  Fokrul A. Mazarbhuiya and Muhammad Abulaish, International Journal of Innovative Computing, Information and Control, Volume: 8, Issue: 3B, March 2012, pp. 2113-2124.

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• 47

  Deep Text Mining for Automatic Keyphrase Extraction from Text Documents

  Muhammad Abulaish, Jahiruddin and Lipika Dey, Journal of Intelligent Systems, Volume: 20, Issue: 4, De Gruyter, Germany, 2011, pp. 327-352.

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• 48

  A Concept-Driven Biomedical Knowledge Extraction and Visualization Framework for Conceptualization of Text Corpora

  Jahiruddin, Muhammad Abulaish, and Lipika Dey, Journal of Biomedical Informatics, Volume: 43, Issue: 6, Elsevier, 2010, pp. 1020-1035.

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• 49

  An Ontology Enhancement Framework to Accommodate Imprecise Concepts and Relations

  Muhammad Abulaish, Journal of Emerging Technologies in Web Intelligence, Volume: 1, Issue: 1, Academy Publisher, Finland, 2009, pp. 22-36.

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• 50

  Biological Relation Extraction and Query Answering from Medline Abstracts using Ontology-based Text Mining

  Muhammad Abulaish and Lipika Dey, Data and Knowledge Engineering, Volume: 61, Issue: 2, Elsevier, 2007, pp. 228-262.

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• 51

  Information Extraction and Imprecise Query Answering from Web Documents

  Muhammad Abulaish and Lipika Dey, Web Intelligence and Agent Systems – An International Journal, Volume: 4, Issue: 4, IOS Press, Netherland, 2006, pp. 407-429.

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• 52

  Intelligent Query Processing Using Semantic Web and Ontology

  Muhammad Abulaish and Lipika Dey, Journal of Computer Society of India, Volume: 34, Issue: 2, CSI, 2004, pp. 32-41.

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• 53

  A Unified Framework for Community Structure Analysis in Dynamic Social Networks

  Sajid Yousuf Bhat, and Muhammad Abulaish, Hema Banati et al. (Eds.) Hybrid Intelligence for Social Networks, Springer, 2017, pp. 71-90.

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• 54

  OntoLSA - An Integrated Text Mining System for Ontology Learning and Sentiment Analysis

  Ahmad Kamal, Muhammad Abulaish, and Jahiruddin, Witold Pedrycz and Shyi-Ming Chen (Eds.) Sentiment Analysis and Ontology Engineering, Studies in Computational Intelligence 639, Springer, ISBN: 978-3-319-30317-8, 2016, pp. 399-423.

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• 55

  A Density-Based Approach to Detect Community Evolutionary Events in Online Social Networks

  Muhammad Abulaish and Sajid Y. Bhat, F. Can et al. (Eds.), State of the Art Applications of Social Network Analysis, Lecture Notes in Social Networks, Springer, ISBN: 978-3-319-05911-2, 2014, pp. 189-208. (Extended version of the paper presented at ASONAM 2012)

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• 56

  Modeling a Web Forum Ecosystem into an Enriched Social Graph

  Tarique Anwar and Muhammad Abulaish, Martin Atzmueller, Alvin Chin, Denis Helic, and Andreas Hotho (Eds.), Ubiquitous Social Media Analysis, LNCS Vol. 8329, ISBN: 978-3-642-45391, Springer, 2013, pp. 152-152. (extended version of the paper presented at MSM 2012)

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• 57

  Web-Content Mining for Learning Generic Relations and their Associations from Textual Biological Data

  Muhammad Abulaish and Jahiruddin, Mourad Elloumi and Albert Y. Zomaya (Eds.), Biological Knowledge Discovery Handbook: Preprocessing, Mining and Post-Processing of Biological Data, John Wiley & Sons, ISBN: 9781118132739, 2013, pp. 919-942.

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• 58

  Mining Biological Interactions from Biomedical Texts for Efficient Query Answering

  Muhammad Abulaish, Jahiruddin and Lipika Dey, Jake Y. Chen and Stefano Lonardi (Eds.), Biological Data Mining, Chapman & Hall/CRC Data Mining and Knowledge Discovery Series, Taylor and Francis, ISBN: 9781420086843, 2009, pp. 485-527.

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• 59

  A Fuzzy Ontology-Based Text Mining System for Knowledge Acquisition, Ontology Enhancement and Query Answering from Bio-Medical Texts

  Lipika Dey and Muhammad Abulaish, Gary B. Fogel, David W. Corne and Yi Pan (Eds.), Computational Intelligence in Bioinformatics. IEEE Press Series on Computational Intelligence, Wiley/ IEEE Inc., ISBN-9780470105269, 2008, pp. 297-339.

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• 60

  Ontology Enhancement for Including Newly Acquired Knowledge about Concept Descriptions and Answering Imprecise Queries

  Lipika Dey and Muhammad Abulaish, David Taniar and Johanna W. Rahayu (Eds.), Web Semantics and Ontology, IGI Global, USA, ISBN: 9781591409052, 2005, pp. 189-225.

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• 61

  Efficient Subgraph Isomorphism Finding in Large Graphs using Eccentricity and Limiting Recursive Calls

  Zubair Ali Ansari, Muhammad Abulaish, and Irfan Rashid Thoker, arXiv preprint arXiv:2312.02988, 21 November 2023.

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• 62

  A Comprehensive Empirical Evaluation of Existing Word Embedding Approaches

  Obaidullah Zaland, Muhammad Abulaish, and Mohd Fazil, arXiv preprint arXiv:2303.07196, 13 March 2023, pp. 1-28. DOI: https://doi.org/10.48550/arXiv.2303.07196

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• 63

  Tutorial on Legal Text Analytics

  Vasudha Bhatnagar, Vikas Kumar, Balaji Ganesan, Muhammad Abulaish, Parikshet Sirohi, Ashwini Siwal, Proceedings of the19th International Conference on Natural Language Processing (ICON), New Delhi, India, 15-18 December 2022, pp. 1-3.

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• 64

  Predicting JNK1 Inhibitors Regulating Autophagy in Cancer using Random Forest Classifier

  Chetna Kumari, Naidu Subbarao, and Muhammad Abulaish, bioRxiv, 2018, pp. 1-13, URL: https://doi.org/10.1101/459669

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• 65

  A Multi-Task Learning Framework using Graph Attention Network for User Stance and Rumor Veracity Prediction

  Muhammad Abulaish, Anuj Saraswat, and Mohd Fazil, In Proceedings of the 2023 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), Kusadasi, Turkey, 6-9 November 2023, pp. 1-5.

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• 66

  A Graph-Theoretic Embedding-Based Approach for Rumor Detection in Twitter

  Muhammad Abulaish, Nikita Kumari, Mohd Fazil, and Basanta Singh, In Proceedings of the 18th IEEE/WIC/ACM International Conference on Web Intelligence (WI), Thessaloniki, Greece, October 14-17, 2019, pp. 466-470.

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• 67

  SentiLangN: A Language-Neutral Graph-Based Approach for Sentiment Analysis in Microblogging Data

  Muhammad Abulaish, Mohammad Rahimi, Habeebullah Ebrahemi, and Amit Kumar Sah, In Proceedings of the 18th IEEE/WIC/ACM International Conference on Web Intelligence (WI), Thessaloniki, Greece, October 14-17, 2019, pp. 461-465.

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• 68

  A Multilayer Perceptron Architecture for Detecting Deceptive Cryptocurrencies in Coin Market Capitalization Data

  Harshita Dalal and Muhammad Abulaish, In Proceedings of the 18th IEEE/WIC/ACM International Conference on Web Intelligence (WI), Thessaloniki, Greece, October 14-17, 2019, pp. 438-442.

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• 69

  Trust and Context-based Rating Prediction using Collaborative Filtering: A Hybrid Approach

  Vineet Kumar Sejwal and Muhammad Abulaish, In Proceedings of the 9th International Conference on Web Intelligence, Mining and Semantics (WIMS), Seoul, Korea, June 26-28, 2019, pp. 20:1-20:10.

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• 70

  Context-Based Rating Prediction using Collaborative Filtering and Linked Open Data

  Vineet Kumar Sejwal and Muhammad Abulaish, In Proceedings of the 9th International Conference on Web Intelligence, Mining and Semantics (WIMS), Seoul, Korea, June 26-28, 2019, pp. 19:1-19:9.

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• 71

  A Layered Approach for Summarization and Context Learning from Microblogging Data

  Muhammad Abulaish, Md. Imran Hossain Showrov, and Mohd Fazil, In Proceedings of the 20th International Conference on Information Integration and Web-based Applications & Services (iiWAS), Yogyakarta, Indonesia, Nov. 19-21, 2018, pp. 70-78.

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• 72

  A Novel Weighted Distance Measure for Multi-Attributed Graph

  Muhammad Abulaish and Jahiruddin, In Proceedings of the 10th Annual ACM India Conference (COMPUTE), Bhopal, India, Nov. 16-18, 2017, pp. 39-47.

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• 73

  Efficient Processing of SPARQL Queries Over GraphFrames

  Ramzan Ali Bahrami, Jayati Gulati, and Muhammad Abulaish, In Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence (WI), Lepzig, Germany, August 23-26, 2017, pp. 678-685.

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• 74

  Identifying Active, Reactive, and Inactive Targets of Socialbots in Twitter

  Mohd. Fazil, and Muhammad Abulaish, In Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence (WI), Lepzig, Germany, August 23-26, 2017, pp. 573-580.

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• 75

  A User-Centric Feature Identification and Modeling Approach to Infer Social Ties in OSNs

  Mudassir Wani, Majid A. Alrubaian, and Muhammad Abulaish, In Proceedings of the 15th International Conference on Information Integration and Web-based Applications & Services (iiWAS’13), Vienna, Austria, Dec. 2-4, 2013, pp. 107-114.

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• 76

  Mining an Enriched Social Graph to Model Cross-Thread Community Interactions and Interests

  Tarique Anwar and Muhammad Abulaish, In Proceedings of the 3rd International Workshop on Modeling Social Media: Collective Intelligence in Social Media - Co-located with the 23rd ACM Conference on Hypertext and Social Media, Milwaukee, WI, USA, ACM, June 25-28, 2012, pp. 35-38.

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• 77

  A Density-Based Approach for Mining Overlapping Communities from Social Network Interactions

  Sajid Y. Bhat and Muhammad Abulaish, In Proceedings of the 2nd International Conference on Web Intelligence, Mining and Semantics (WIMS), Craiova, Romania, ACM, June 13-15, 2012, pp. 9:1-9:7.

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• 78

  Mining Feature-Opinion Pairs and their Reliability Scores from Web Opinion Sources

  Ahmad Kamal, Muhammad Abulaish and Tarique Anwar, In Proceedings of the 2nd International Conference on Web Intelligence, Mining and Semantics (WIMS), Craiova, Romania, ACM, June 13-15, 2012, pp. 15:1-15:7.

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• 79

  A Web Content Mining Approach for Tag Cloud Generation

  Muhammad Abulaish, and Tarique Anwar, In Proceedings of the 13th International Conference on Information Integration and Web-based Applications & Services (iiWAS), Vietnam, Dec 5-7, 2011, pp. 52-59.

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• 80

  An Unseen Features-Enriched Lifelong Machine Learning Framework

  Nesar Ahmad Wasi and Muhammad Abulaish, In Proceedings of the International Conference on Computational Science and its Applications (ICCSA), Athens, Greece, 3-6 July 2023, LNCS-13957, pp. 471-481. DOI: https://doi.org/10.1007/978-3-031-36808-0_34

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• 81

  ADA: An Attention-Based Data Augmentation Approach to Handle Imbalanced Textual Datasets

  Amit Kumar Sah and Muhammad Abulaish, In Proceedings of the 29th International Conference on Neural Information Processing (ICONIP), IIT Indore, India, CCIS, Vol. 1791, Springer, 22-26 November 2022, pp. 477-488.

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• 82

  A Contextual Semantic-Based Approach for Domain-Centric Lexicon Expansion

  Muhammad Abulaish, Mohd. Fazil, and Tarique Anwar, In Proceedings of the 31st Australasian Database Conference (ADC), Melbourne, Australia, LNCS, February 4-7, 2020, pp. 216-224.

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• 83

  Self-Deprecating Humor Detection: A Machine Learning Approach

  Ashraf Kamal and Muhammad Abulaish, In Proceedings of the 16th International Conference of the Pacific Association for Computational Linguistics (PACLING), Hanoi City, Vietnam, Communications in Computer and Information Science, vol. 1215. Springer, October 11-13, 2019, pp. 1-9.

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• 84

  Identification of Sybil Communities Generating Context-Aware Spam on Online Social Networks

  Faraz Ahmad and Muhammad Abulaish, In Proceedings of the 15th Asia-Pacific Web Conference (APWeb), Sydney, Australia, April 4-6, 2013, pp. 268-279.

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• 85

  Forensic Analysis of Digsby Log Data to Trace Suspected User Activities

  Muhammad Yasin, Muhammad Abulaish and Muhammad N. N. Elmogy, In Proceedings of the 9th FTRA International Conference on Secure and Trust Computing, Data Management, and Applications (STA), Gwangju, Korea, LNEE 180, Springer, Sep 6-8, 2012, pp. 119-126.

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• 86

  A Statistical Pattern Mining Approach for Identifying Wireless Network Intruders

  Nur Al-H. Haldar, Muhammad Abulaish and Syed A. Pasha, In Proceedings of the 5th International Conference on Network Security and Applications (CNSA), Chennai, India, Advances in Intelligent Systems and Computing, Volume: 176, Springer, July 13-15, 2012, pp. 131-140.

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• 87

  A Data Mining Framework for Securing 3G Core Network from GTP Fuzzing Attacks

  Faraz Ahmed, Muhammad Z. Rafique and Muhammad Abulaish, In Proceedings of the 7th International Conference on Information Systems Security (ICISS), Kolkata, India, Dec 15-19, 2011, pp. 280-293.

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• 88

  A Security Information Management Ontology

  Muhammad Abulaish, Syed I. Nabi, Khaled S. Alghathbar and Azeddine Chikh, In Proceedings of the 8th IEEE/FTRA International Conference on Secure and Trust Computing, Data Management, and Applications (STA), Loutraki, Greece, June 28-30, 2011, pp, 201-208.

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• 89

  An Ontology Based Information Security Requirements Engineering Framework

  Azeddine Chikh, Muhammad Abulaish, Syed I. Nabi and Khaled S. Alghathbar, In Proceedings of the 8th IEEE/FTRA International Conference on Secure and Trust Computing, Data Management, and Applications (STA), Loutraki, Greece, June 28-30, 2011, pp, 139-146.

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• 90

  Opinion-Based Imprecise Query Answering

  Muhammad Abulaish, Tanvir Ahmad, Jahiruddin and Mohammed N. Doja, In Proceedings of the 14th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Hyderabad, India, LNAI-6119, Part-II, Springer-Verlag, June 21-24, 2010, pp. 238-248.

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• 91

  A Relation Mining and Visualization Framework for Automated Text Summarization

  Muhammad Abulaish, Jahiruddin and Lipika Dey, In Proceedings of the 3rd International Conference on Pattern Recognition and Machine Intelligence (PReMI), Delhi, India, LNCS-5909, Springer-Verlag, Dec. 16-20, 2009, pp. 249-254.

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• 92

  Feature and Opinion Mining for Customer Review Summarization

  Muhammad Abulaish, Tanvir Ahmad, Jahiruddin, and Mohammed N. Doja, In Proceedings of the 3rd International Conference on Pattern Recognition and Machine Intelligence (PReMI), Delhi, India, LNCS-5909, Springer-Verlag, Dec. 16-20, 2009, pp. 219-224.

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• 93

  Mining Local Association Rules from Temporal Data Set

  Fokrul A. Mazarbhuiya, Muhammad Abulaish, Anjana K. Mahanta, and Tanvir Ahmad, In Proceedings of the 3rd International Conference on Pattern Recognition and Machine Intelligence (PReMI), Delhi, India, LNCS-5909, Springer-Verlag, Dec 16-20, 2009, pp. 255-260.

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• 94

  Semantic Integration of Information through Relation Mining – Application to Bio-Medical Text Processing

  Lipika Dey, Muhammad Abulaish, Rohit Goyel, and Jahiruddin, In Proceedings of the 2nd International Conference on Pattern Recognition and Machine Intelligence (PReMI), Kolkata, India, LNCS, Springer-Verlag, Dec. 18-22, 2007, pp. 365-372.

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• 95

  A Fuzzy Ontology Generation Framework for Handling Uncertainties and Non-uniformity in Domain Knowledge Description

  Muhammad Abulaish and Lipika Dey, In Proceedings of the International Conference on Computing: Theory and Applications (ICCTA), Kolkata, India, March 5-7, 2007, pp. 287-293.

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• 96

  A Rough-Fuzzy Ontology Generation Framework and Its Application to Bio-medical Text Processing

  Lipika Dey, Muhammad Abulaish, Rohit Goyal and Kumar Shubham, In Proceedings of the 5th Atlantic Web Intelligence Conference (AWIC), Fontainebleau, France. Advances in Soft Computing Series, Volume: 43, Springer Berlin/Heidelberg, June 25-27, 2007, pp. 74–79.

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• 97

  Enhancing a Biological Concept Ontology to Fuzzy Relational Ontology with Relations Mined from Text

  Lipika Dey and Muhammad Abulaish, In Proceedings of the 5th International Conference on Rough Sets and Current Trends in Computing (RSCTC), Japan, LNCS-4259, Springer-Verlag, 2006, pp. 527-536.

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• 98

  An Ontology-based Pattern Mining System for Extracting Information from Biological Texts

  Muhammad Abulaish and Lipika Dey, In Proceedings of the 10th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing (RSFDGrC), Canada, LNCS-3642, Springer-Verlag, 2005, pp. 420-429.

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• 99

  Knowledge Enhancement through Ontology-Gided Text Mining

  Muhammad Abulaish and Lipika Dey, In Proceedings of the 1st International Conference on Pattern Recognition and Machine Intelligence (PReMI), Kolkata, India, LNCS-3776, Springer-Verlag, 2005, pp. 601-604.

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• 100

  A Framework for Extending Fuzzy Description Logic to Ontology Based Document Processing

  Shailendra Singh, Lipika Dey and Muhammad Abulaish, In Proceedings of the Advances in Web Intelligence: 2nd International Atlantic Web Intelligence Conference (AWIC), Cancun, Mexico, LNCS-3034, Springer-Verlag, 2004, pp. 95-104.

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• 101

  proBE - A BERTweet-Attentive Prototype Few-shot Model for Event Detection in OSN

  Sielvie Sharma, Muhammad Abulaish, and Tanvir Ahmad, In Proceedings of the 22nd IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), Venice, Italy, 26-29 October 2023, pp. 1-8.

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• 102

  An Unseen Features Enhanced Text Classification Approach

  Nesar Ahmad Wasi and Muhammad Abulaish, In Proceedings of the International Joint Conference on Neural Networks (IJCNN), Queensland, Australia,18-23 June 2023, pp. 1-9. DOI: DOI: 10.1109/IJCNN54540.2023.10191857

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• 103

  KEvent - A Semantic-Enriched Graph-Based Approach Capitalizing Bursty Keyphrases for Event Detection in OSN

  Sielvie Sharma, Muhammad Abulaish, and Tanvir Ahmad, In Proceedings of the International Workshop on Data Analytics on Social Media, Co-located with the 21st IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technolog, Niagara Falls, Canada, 17-20 November 2022, pp. 588-595.

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• 104

  A Graph-Based Approach Leveraging Posts and Reactions for Detecting Rumors on Online Social Media

  Asimul Haque and Muhammad Abulaish, In Proceedings of the 36th Pacific Asia Conference on Language, Information and Computation (PACLIC), Manila, Philippines, October 20-22, 2022, pp. 1-12.

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• 105

  A Hierarchical Attention-Based Neural Network Model for Socialbot Detection in OSN

  Mohd Fazil, Amit Kumar Sah and Muhammad Abulaish, In Proceedings of the 19th International Conference on Web Intelligence (WI), Malbourne, Australia, December 14-17, 2020, pp. 1-8.

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• 106

  Document-Level Sentiment Analysis through Incorporating Prior Domain Knowledge into Logistic Regression

  Nesar Ahmad Wasi and Muhammad Abulaish, In Proceedings of the 19th International Conference on Web Intelligence (WI), Malbourne, Australia, December 14-17, 2020, pp. 1-6.

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• 107

  A Social Media Time-Series Data Analytics Approach for Digital Epidemiology

  Md. Aslam Parwez, Muhammad Abulaish, and Jahiruddin, In Proceedings of the 19th International Conference on Web Intelligence (WI), Malbourne, Australia, Malbourne, Australia, December 14-17, 2020, pp. 1-8.

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• 108

  A Novel Snowball-Chain Approach for Detecting Community Structures in Social Graphs

  Jayati Gulati and Muhammad Abulaish, In Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining (IEEE-CIDM), Xiamen, China, December 6-9, 2019, pp. 1-8.

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• 109

  A Multi-Attributed Graph-Based Approach for Text Data Modeling and Event Detection in Twitter

  Muhammad Abulaish, Sielvie Sharma, and Mohd Fazil, In Proceedings of the Social Networking Workshop at the 11th International Conference on Communication Systems and Networks (COMSNETS), Bangalore, India, Jan. 7-11, 2019, pp. 703-708. (received best paper award)

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• 110

  SubISO: A Scalable and Novel Approach for Subgraph Isomorphism Search in Large Graph

  Muhammad Abulaish, Zubair Ali Ansari, and Jahiruddin, In Proceedings of the 11th International Conference on Communication Systems and Networks (COMSNETS), Bangalore, India, Jan. 7-11, 2019, pp. 102-109.

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• 111

  A Text Data Augmentation Approach for Improving the Performance of CNN

  Muhammad Abulaish and Amit Kumar Sah, In Proceedings of the MINDS Workshop, 11th International Conference on Communication Systems and Networks (COMSNETS), Bangalore, India, Jan. 7-11, 2019, pp. 625-630.

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• 112

  Self-Deprecating Sarcasm Detection: An Amalgamation of Rule-Based and Machine Learning Approach

  Muhammad Abulaish and Ashraf Kamal, In Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence (WI), Santiago, Chile, Dec. 3-6, 2018, pp. 574-579.

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• 113

  Why a Socialbot is Effective in Twitter? A Statistical Insight

  Mohd Fazil and Muhammad Abulaish, In Proceedings of the 9th International Conference on Communication Systems and Networks (COMSNETS), Social Networking Workshop, Bengaluru, India, January 4-8, 2017, pp. 564-569. (received best paper award)

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• 114

  Twitter Data Mining for Events Classification and Analysis

  Nausheen Azam, Jahiruddin, Muhammad Abulaish, and Nur Al-Hasan Haldar, In Proceedings of the 2nd International Conference on Soft Computing and Machine Intelligence (ISCMI’15), Hong Kong, IEEE CPS, Nov. 23-24, 2015, pp. 79-83.

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• 115

  Data Warehousing Based Computer Forensics Investigation Framework

  Waleed Halboob, Ramlan Mahmod, Muhammad Abulaish, Haider Abbas, and Kashif Saleem, In Proceedings of the 12th International Conference on Information Technology - New Generations (ITNG), Las Vegas, NV, USA , April 13-15, 2015, pp. 163-168.

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• 116

  Spammer Classification using Ensemble Methods over Structural Social Network Features

  Sajid Y. Bhat, Muhammad Abulaish, and Abdulrahman A. Mirza, In Proceedings of the 14th IEEE/WIC/ACM International Conference on Web Intelligence (WI’14), Warsaw, Poland, Aug. 11-14, 2014, pp. 454-458.

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• 117

  Community-Based Features for Identifying Spammers in Online Social Networks

  Sajid Y. Bhat and Muhammad Abulaish, In Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), Niagara Falls, Canada, ACM, Aug. 25-28, 2013, pp. 100-107.

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• 118

  Statistical Features Identification for Sentiment Analysis using Machine Learning Techniques

  Ahmad Kamal and Muhammad Abulaish, In Proceedings of the International Symposium on Computational and Business Intelligence (ISCBI), Delhi, India, IEEE, Aug. 24-26, 2013, pp. 178-181.

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• 119

  Overlapping Social Network Communities and Viral Marketing

  Sajid Y. Bhat and Muhammad Abulaish, In Proceedings of the International Symposium on Computational and Business Intelligence (ISCBI), Delhi, India, IEEE, Aug. 24-26, 2013, pp. 243-346.

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• 120

  An MCL-Based Text Mining Approach for Namesake Disambiguation on the Web

  Tarique Anwar and Muhammad Abulaish, In Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence (WI), Macau, Dec. 4-7, 2012, pp. 40-44.

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• 121

  Graph-Based Learning Model for Detection of SMS Spam on Smart Phones

  Muhammad Z. Rafique and Muhammad Abulaish, In Proceedings of the 8th International Wireless Communications and Mobile Computing Conference (IWCMC) – Trust, Privacy and Security Symposium, Limasol, Cyprus, IEEE, Aug 27-31, 2012, pp. 1046-1051.

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• 122

  OCTracker: A Density-Based Framework for Tracking the Evolution of Overlapping Communities in OSNs

  Sajid Y. Bhat and Muhammad Abulaish, In Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), Istanbul, Turkey, Aug 26-29, 2012, pp. 501-505.

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• 123

  An MCL-Based Approach for Spam Profile Detection in Online Social Networks

  Faraz Ahmad and Muhammad Abulaish, In Proceedings of the 11th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (IEEE-TrustCom), Liverpool, UK, IEEE, June 25-27, 2012, pp. 602-608.

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• 124

  Identifying Cliques in Dark Web Forums – An Agglomerative Clustering Approach

  Tarique Anwar and Muhammad Abulaish, In Proceedings of the 10th International Conference on Intelligence and Security Informatics (IEEE-ISI), Washington DC, USA, IEEE, June 11-14, 2012, pp. 171-174.

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• 125

  An Activity Pattern Based Wireless Intrusion Detection System

  Nur Al-H. Haldar, Muhammad Abulaish, and Syed A. Pasha, In Proceedings of the 9th International Conference on Information Technology: New Generations (ITNG), Las Vegas, Nevada, USA, IEEE, April 16-18, 2012, pp. 846-847.

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• 126

  Quaternary Privacy-Levels Preservation in Computer Forensics Investigation Process

  Waleed Halboob, Muhammad Abulaish and Khaled S. Alghathbar, In Proceedings of the 6th International Conference for Internet Technology and Secured Transactions (ICITST), Abu Dhabi, UAE, Dec 11-14, 2011, pp. 777-782.

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• 127

  Web Content Mining for Alias Identification: A first step towards suspect tracking

  Tarique Anwar, Muhammad Abulaish and Khaled S. Alghathbar, In Proceedings of the IEEE International Conference on Intelligence and Security Informatics (ISI), Bejing, China, July 10-12, 2011, pp. 195-197.

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• 128

  xMiner: Nip the Zero Day Exploits in the Bud

  Muhammad Z. Rafique and Muhammad Abulaish, In Proceedings of the 10th IEEE International Symposium on Network Computing and Applications (IEEE-NCA), Cambridge, MA, USA, Aug 25-27, 2011, pp. 99-106.

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• 129

  Relation Characterization using Ontological Concepts

  Muhammad Abulaish, In Proceedings of the 8th International Conference on Information Technology: New Generations (ITNG), Las Vegas, Nevada, USA, April 11-13, 2011, pp. 585-590.

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• 130

  Fuzzy Ontologies for Handling Uncertainties and Inconsistencies in Domain Knowledge Description

  Lipika Dey and Muhammad Abulaish, In Proceedings of the IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) organized as a part of the IEEE World Congress on Computational Intelligence, Hong-Kong, China, June 1-6, 2008, pp. 1366-1373.

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• 131

  Text Mining through Entity-Relationship Based Information Extraction

  Lipika Dey, Muhammad Abulaish, Gaurav Sharma and Jahiruddin, In Proceedings of the Workshop on Biomedical Applications of Web Technologies, Co-located with IEEE/WIC/ACM International Conference on Web Intelligence (WI), Silicon Valley, USA, Nov. 2-5, 2007, pp. 177-180.

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• 132

  Ontological Representation for Links into the Future

  Muhammad T. Afzal and Muhammad Abulaish, In Proceedings of the International Conference on Convergence Information Technology (ICCIT), Korea, 2007, pp. 1832-1837.

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• 133

  Interoperability among Distributed Overlapping Ontologies – A Fuzzy Ontology Framework

  Muhammad Abulaish and Lipika Dey, In Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence (WI), Hong Kong, 2006, pp. 397-403.

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• 134

  Biological Ontology Enhancement with Fuzzy Relations: A Text-Mining Framework

  Muhammad Abulaish and Lipika Dey, In Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence (WI), France, 2005, pp. 379-385.

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• 135

  An Emotion-Enriched and Psycholinguistics Features-Based Approach for Rumor Detection on Online Social Media

  Asimul Haque and Muhammad Abulaish, In Proceedings of the 11th International Workshop on Natural Language Processing for Social Media (SocialNLP), Co-located with IJCNLP-AACL, Bali, Indonesia, 1-4 November 2023, pp. 28-37.

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• 136

  DeepADA: An Attention-Based Deep Learning Framework for Augmenting Imbalanced Textual Datasets

  Amit Kumar Sah and Muhammad Abulaish, In Proceedings of the 19th International Conference on Natural Language Processing (ICON), New Delhi, India, ACL, 15-18 December 2022, pp. 318-327.

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• 137

  Compact Residual Learning with Frequency-Based Non-Square Kernels for Small Footprint Keyword Spotting

  Muhammad Abulaish and Rahul Gulia, In Proceedings of the 19th International Conference on Natural Language Processing (ICON), New Delhi, India, ACL, 15-18 December 2022, pp. 328-336.

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• 138

  MINDS: A Multi-label Emotion and Sentiment Classification Dataset Related to COVID-19

  Anjali Bhardwaj and Muhammad Abulaish, In Proceedings of the Workshop on Context-aware NLP in eHealth, Co-located with the 19th International Conference on Natural Language Processing (ICON), New Delhi, India, 15-18 December 2022, pp. 1-11.

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• 139

  DRCoVe: An AugmentedWord Representation Approach using Distributional and Relational Context

  Md. Aslam Parwez, Muhammad Abulaish, and Mohd. Fazil, In Proceedings of the 16th International Conference on Natural Language Processing, LTRC, IIIT Hyderabad, India, December 18-21, 2019, pp. 220-229.

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• 140

  An LSTM-Based Deep Learning Approach for Detecting Self-Deprecating Sarcasm in Textual Data

  Ashraf Kamal and Muhammad Abulaish, In Proceedings of the 16th International Conference on Natural Language Processing, LTRC, IIIT Hyderabad, India, December 18-21, 2019, pp. 201-210.

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• 141

  Biomedical Text Analytics for Characterizing Climate-Sensitive Disease

  Md. Aslam Parwez, Muhammad Abulaish and Jahiruddin, In Proceedings of the International Conference on Computational Intelligence and Data Science, Noida, India, Procedia Computer Science, vol. 132, Elsevier, April 7-8, 2018, pp. 1002-1011.

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• 142

  A Statistical Approach for Automatic Keyphrase Extraction

  Muhammad Abulaish, Jahiruddin and Lipika Dey, In Proceedings of the 5th Indian International Conference on Artificial Intelligence (IICAI), Bangalore, India, Dec 14-16, 2011, pp. 1100-1112.

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• 143

  Automated Summarization and Visualization of Unstructured Text Documents

  Muhammad Abulaish and Khaled S. Alghathbar, In Proceedings of the International Conference on IT and Business Intelligence (ITBI), Nagpur, India, November 12-14, 2010.

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• 144

  Knowledge-Based Information Extraction

  Muhammad Abulaish and Qadri N. Naved, In Proceedings of the 5th Saudi Technical Conference and Exhibition, Riyadh, KSA, Vol. II, Jan. 11-14, 2009, pp. 181-187.

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• 145

  Relation Extraction from Texts for Efficient Access to Information – Application to Bio-Medical Text Processing

  Lipika Dey, Muhammad Abulaish and Jahiruddin, In Proceedings of the 3rd Indian International Conference on Artificial Intelligence (IICAI), Pune, India, Dec 17-19, 2007, pp. 1719-1737.

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• 146

  Using Part-of-Speech Patterns and Domain Ontology to Mine Imprecise Concepts from Text Documents

  Muhammad Abulaish and Lipika Dey, In Proceedings of the 6th International Conference on Information Integration and Web Based Applications and Services (iiWAS), Jakarta, Indonesia, Sep 27-29, 2004, pp. 91-100.

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• 147

  Ontology Based Fuzzy Deductive System to Handle Imprecise Knowledge

  Muhammad Abulaish and Lipika Dey, In Proceedings of the 4th International Conference on Intelligent Technologies, Chiang Mai, Thailand, 2003, pp. 271-278.

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