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Muhammad Abulaish
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2020 – today
- 2024
- [j40]Nesar Ahmad Wasi, Muhammad Abulaish:
SKEDS - An external knowledge supported logistic regression approach for document-level sentiment classification. Expert Syst. Appl. 238(Part E): 121987 (2024) - [j39]Muhammad Abulaish, Harshita Dalal:
The Dark Crypto World! IEEE Internet Comput. 28(3): 26-36 (2024) - [j38]Ashraf Kamal, Muhammad Abulaish, Jahiruddin:
Contextualized Satire Detection in Short Texts Using Deep Learning Techniques. J. Web Eng. 23(1): 27-52 (2024) - [j37]Sielvie Sharma, Muhammad Abulaish, Tanvir Ahmad:
conteNXt: A Graph-Based Approach to Assimilate Content and Context for Event Detection in OSN. IEEE Trans. Comput. Soc. Syst. 11(4): 5483-5495 (2024) - [j36]Muhammad Abulaish, Nesar Ahmad Wasi, Shachi Sharma:
The role of lifelong machine learning in bridging the gap between human and machine learning: A scientometric analysis. WIREs Data. Mining. Knowl. Discov. 14(2) (2024) - 2023
- [c73]Muhammad Abulaish, Anuj Saraswat, Mohd Fazil:
A Multi-Task Learning Framework using Graph Attention Network for User Stance and Rumor Veracity Prediction. ASONAM 2023: 149-153 - [c72]Nesar Ahmad Wasi, Muhammad Abulaish:
An Unseen Features-Enriched Lifelong Machine Learning Framework. ICCSA (2) 2023: 471-481 - [c71]Nesar Ahmad Wasi, Muhammad Abulaish:
An Unseen Features Enhanced Text Classification Approach. IJCNN 2023: 1-8 - [c70]Sielvie Sharma, Muhammad Abulaish, Tanvir Ahmad:
proBE-A BERTweet-Attentive Prototype Few-Shot Model for Event Detection in OSN. WI/IAT 2023: 72-79 - [i3]Obaidullah Zaland, Muhammad Abulaish, Mohd Fazil:
A Comprehensive Empirical Evaluation of Existing Word Embedding Approaches. CoRR abs/2303.07196 (2023) - [i2]Zubair Ali Ansari, Muhammad Abulaish, Irfan Rashid Thoker, Jahiruddin:
Efficient Subgraph Isomorphism Finding in Large Graphs using Eccentricity and Limiting Recursive Calls. CoRR abs/2312.02988 (2023) - 2022
- [j35]Ashraf Kamal, Muhammad Abulaish:
CAT-BiGRU: Convolution and Attention with Bi-Directional Gated Recurrent Unit for Self-Deprecating Sarcasm Detection. Cogn. Comput. 14(1): 91-109 (2022) - [j34]Vineet Kumar Sejwal, Muhammad Abulaish:
A hybrid recommendation technique using topic embedding for rating prediction and to handle cold-start problem. Expert Syst. Appl. 209: 118307 (2022) - [j33]Muhammad Abulaish, Mohd Fazil, Mohammed J. Zaki:
Domain-Specific Keyword Extraction Using Joint Modeling of Local and Global Contextual Semantics. ACM Trans. Knowl. Discov. Data 16(4): 70:1-70:30 (2022) - [c69]Anjali Bhardwaj, Muhammad Abulaish:
MINDS: A Multi-label Emotion and Sentiment Classification Dataset Related to COVID-19. WNLPe-Health@ICON 2022: 3-13 - [c68]Amit Kumar Sah, Muhammad Abulaish:
DeepADA: An Attention-Based Deep Learning Framework for Augmenting Imbalanced Textual Datasets. ICON 2022: 318-327 - [c67]Muhammad Abulaish, Rahul Gulia:
Compact Residual Learning with Frequency-Based Non-Square Kernels for Small Footprint Keyword Spotting. ICON 2022: 328-336 - [c66]Amit Kumar Sah, Muhammad Abulaish:
ADA: An Attention-Based Data Augmentation Approach to Handle Imbalanced Textual Datasets. ICONIP (4) 2022: 477-488 - [c65]Asimul Haque, Muhammad Abulaish:
A Graph-Based Approach Leveraging Posts and Reactions for Detecting Rumors on Online Social Media. PACLIC 2022: 533-544 - [c64]Sielvie Sharma, Muhammad Abulaish, Tanvir Ahmad:
KEvent - A Semantic-Enriched Graph-Based Approach Capitalizing Bursty Keyphrases for Event Detection in OSN. WI/IAT 2022: 588-595 - 2021
- [j32]Zubair Ali Ansari, Jahiruddin, Muhammad Abulaish:
An Efficient Subgraph Isomorphism Solver for Large Graphs. IEEE Access 9: 61697-61709 (2021) - [j31]Muhammad Abulaish, Nur Al Hasan Haldar, Jahiruddin:
P2DF: A Privacy-Preserving Digital Forensics Framework. Int. J. Digit. Crime Forensics 13(6): 1-15 (2021) - [j30]Muhammad Abulaish, Mohd Fazil:
A machine learning approach for socialbot targets detection on Twitter. J. Intell. Fuzzy Syst. 40(3): 4115-4133 (2021) - [j29]Vineet Kumar Sejwal, Muhammad Abulaish:
CAMO: A context-aware movie ontology generated from LOD and movie databases. Multim. Tools Appl. 80(5): 7247-7269 (2021) - [j28]Chetna Kumari, Muhammad Abulaish, Naidu Subbarao:
Exploring Molecular Descriptors and Fingerprints to Predict mTOR Kinase Inhibitors using Machine Learning Techniques. IEEE ACM Trans. Comput. Biol. Bioinform. 18(5): 1902-1913 (2021) - [j27]Mohd Fazil, Amit Kumar Sah, Muhammad Abulaish:
DeepSBD: A Deep Neural Network Model With Attention Mechanism for SocialBot Detection. IEEE Trans. Inf. Forensics Secur. 16: 4211-4223 (2021) - 2020
- [j26]Vineet Kumar Sejwal, Muhammad Abulaish, Jahiruddin:
CRecSys: A Context-Based Recommender System Using Collaborative Filtering and LOD. IEEE Access 8: 158432-158448 (2020) - [j25]Muhammad Abulaish, Ishfaq Majid Bhat, Sajid Yousuf Bhat:
Scaling density-based community detection to large-scale social networks via MapReduce framework. J. Intell. Fuzzy Syst. 38(2): 1663-1674 (2020) - [j24]Mohd Fazil, Muhammad Abulaish:
A socialbots analysis-driven graph-based approach for identifying coordinated campaigns in twitter. J. Intell. Fuzzy Syst. 38(3): 2961-2977 (2020) - [j23]Chetna Kumari, Muhammad Abulaish, Naidu Subbarao:
Using SMOTE to Deal with Class-Imbalance Problem in Bioactivity Data to Predict mTOR Inhibitors. SN Comput. Sci. 1(3): 150 (2020) - [j22]Muhammad Abulaish, Mohd Fazil:
Socialbots: Impacts, Threat-Dimensions, and Defense Challenges. IEEE Technol. Soc. Mag. 39(3): 52-61 (2020) - [j21]Muhammad Abulaish, Ashraf Kamal, Mohammed J. Zaki:
A Survey of Figurative Language and Its Computational Detection in Online Social Networks. ACM Trans. Web 14(1): 3:1-3:52 (2020) - [c63]Muhammad Abulaish, Mohd Fazil, Tarique Anwar:
A Contextual Semantic-Based Approach for Domain-Centric Lexicon Expansion. ADC 2020: 216-224 - [c62]Md. Aslam Parwez, Muhammad Abulaish, Jahiruddin:
A Social Media Time-Series Data Analytics Approach for Digital Epidemiology. WI/IAT 2020: 852-859 - [c61]Mohd Fazil, Amit Kumar Sah, Muhammad Abulaish:
A Hierarchical Attention-Based Neural Network Model for Socialbot Detection in OSN. WI/IAT 2020: 954-959 - [c60]Nesar Ahmad Wasi, Muhammad Abulaish:
Document-Level Sentiment Analysis through Incorporating Prior Domain Knowledge into Logistic Regression. WI/IAT 2020: 969-974
2010 – 2019
- 2019
- [j20]Md. Aslam Parwez, Muhammad Abulaish, Jahiruddin:
Multi-Label Classification of Microblogging Texts Using Convolution Neural Network. IEEE Access 7: 68678-68691 (2019) - [j19]Muhammad Abulaish, Md. Aslam Parwez, Jahiruddin:
DiseaSE: A biomedical text analytics system for disease symptom extraction and characterization. J. Biomed. Informatics 100 (2019) - [j18]Muhammad Abulaish, Jahiruddin, Anjali Bhardwaj:
OMCR: An Opinion-Based Multi-Criteria Ranking Approach. J. Intell. Fuzzy Syst. 36(1): 397-411 (2019) - [c59]Muhammad Abulaish, Zubair Ali Ansari, Jahiruddin:
SubISO: A Scalable and Novel Approach for Subgraph Isomorphism Search in Large Graph. COMSNETS 2019: 102-109 - [c58]Muhammad Abulaish, Amit Kumar Sah:
A Text Data Augmentation Approach for Improving the Performance of CNN. COMSNETS 2019: 625-630 - [c57]Muhammad Abulaish, Sielvie Sharma, Mohd Fazil:
A Multi-Attributed Graph-Based Approach for Text Data Modeling and Event Detection in Twitter. COMSNETS 2019: 703-708 - [c56]Ashraf Kamal, Muhammad Abulaish:
Self-deprecating Humor Detection: A Machine Learning Approach. PACLING 2019: 483-494 - [c55]Jayati Gulati, Muhammad Abulaish:
A Novel Snowball-Chain Approach for Detecting Community Structures in Social Graphs. SSCI 2019: 2462-2469 - [c54]Harshita Dalal, Muhammad Abulaish:
A Multilayer Perceptron Architecture for Detecting Deceptive Cryptocurrencies in Coin Market Capitalization Data. WI 2019: 438-442 - [c53]Muhammad Abulaish, Mohammad Rahimi, Habeebullah Ebrahemi, Amit Kumar Sah:
SentiLangN: A Language-Neutral Graph-Based Approach for Sentiment Analysis in Microblogging Data. WI 2019: 461-465 - [c52]Muhammad Abulaish, Nikita Kumari, Mohd Fazil, Basanta Singh:
A Graph-Theoretic Embedding-Based Approach for Rumor Detection in Twitter. WI 2019: 466-470 - [c51]Vineet Kumar Sejwal, Muhammad Abulaish:
Context-Based Rating Prediction using Collaborative Filtering and Linked Open Data. WIMS 2019: 19:1-19:9 - [c50]Vineet Kumar Sejwal, Muhammad Abulaish:
Trust and Context-based Rating Prediction using Collaborative Filtering: A Hybrid Approach. WIMS 2019: 20:1-20:10 - 2018
- [j17]Muhammad Abulaish, Mohd Fazil:
Modeling Topic Evolution in Twitter: An Embedding-Based Approach. IEEE Access 6: 64847-64857 (2018) - [j16]Muhammad Abulaish, Nur Al Hasan Haldar:
Advances in Digital Forensics Frameworks and Tools: A Comparative Insight and Ranking. Int. J. Digit. Crime Forensics 10(2): 95-119 (2018) - [j15]Mohd Fazil, Muhammad Abulaish:
A Hybrid Approach for Detecting Automated Spammers in Twitter. IEEE Trans. Inf. Forensics Secur. 13(11): 2707-2719 (2018) - [c49]Muhammad Abulaish, Md. Imran Hossain Showrov, Mohd Fazil:
A Layered Approach for Summarization and Context Learning from Microblogging Data. iiWAS 2018: 70-78 - [c48]Muhammad Abulaish, Ashraf Kamal:
Self-Deprecating Sarcasm Detection: An Amalgamation of Rule-Based and Machine Learning Approach. WI 2018: 574-579 - [i1]Muhammad Abulaish, Jahiruddin:
A Novel Weighted Distance Measure for Multi-Attributed Graph. CoRR abs/1801.07150 (2018) - 2017
- [c47]Muhammad Abulaish, Jahiruddin:
A Novel Weighted Distance Measure for Multi-Attributed Graph. COMPUTE 2017: 39-47 - [c46]Mohd Fazil, Muhammad Abulaish:
Why a socialbot is effective in Twitter? A statistical insight. COMSNETS 2017: 564-569 - [c45]Mohd Fazil, Muhammad Abulaish:
Identifying active, reactive, and inactive targets of socialbots in Twitter. WI 2017: 573-580 - [c44]Ramazan Ali Bahrami, Jayati Gulati, Muhammad Abulaish:
Efficient processing of SPARQL queries over GraphFrames. WI 2017: 678-685 - 2016
- [p1]Ahmad Kamal, Muhammad Abulaish, Jahiruddin:
OntoLSA - An Integrated Text Mining System for Ontology Learning and Sentiment Analysis. Sentiment Analysis and Ontology Engineering 2016: 399-423 - 2015
- [j14]Khalid Al-Rowaily, Muhammad Abulaish, Nur Al Hasan Haldar, Majed A. AlRubaian:
BiSAL - A bilingual sentiment analysis lexicon to analyze Dark Web forums for cyber security. Digit. Investig. 14: 53-62 (2015) - [j13]Sajid Yousuf Bhat, Muhammad Abulaish:
OCMiner: A density-based overlapping community detection method for social networks. Intell. Data Anal. 19(4): 917-947 (2015) - [j12]Tarique Anwar, Muhammad Abulaish:
Ranking Radically Influential Web Forum Users. IEEE Trans. Inf. Forensics Secur. 10(6): 1289-1298 (2015) - [j11]Sajid Yousuf Bhat, Muhammad Abulaish:
HOCTracker: Tracking the Evolution of Hierarchical and Overlapping Communities in Dynamic Social Networks. IEEE Trans. Knowl. Data Eng. 27(4): 1019-1013 (2015) - [c43]Waleed Halboob, Ramlan Mahmod, Muhammad Abulaish, Haider Abbas, Kashif Saleem:
Data Warehousing Based Computer Forensics Investigation Framework. ITNG 2015: 163-168 - 2014
- [j10]Tarique Anwar, Muhammad Abulaish:
A social graph based text mining framework for chat log investigation. Digit. Investig. 11(4): 349-362 (2014) - [j9]Tarique Anwar, Muhammad Abulaish:
Namesake alias mining on the Web and its role towards suspect tracking. Inf. Sci. 276: 123-145 (2014) - [c42]Sajid Yousuf Bhat, Muhammad Abulaish, Abdulrahman A. Mirza:
Spammer Classification Using Ensemble Methods over Structural Social Network Features. WI-IAT (1) 2014: 454-458 - 2013
- [j8]Faraz Ahmed, Muhammad Abulaish:
A generic statistical approach for spam detection in Online Social Networks. Comput. Commun. 36(10-11): 1120-1129 (2013) - [j7]Muhammad Yasin, Muhammad Abulaish:
DigLA - A Digsby log analysis tool to identify forensic artifacts. Digit. Investig. 9(3-4): 222-234 (2013) - [j6]Muhammad Abulaish, Tarique Anwar:
A Keyphrase-Based Tag Cloud Generation Framework to Conceptualize Textual Data. Int. J. Adapt. Resilient Auton. Syst. 4(2): 72-93 (2013) - [j5]Sajid Yousuf Bhat, Muhammad Abulaish:
Analysis and mining of online social networks: emerging trends and challenges. WIREs Data Mining Knowl. Discov. 3(6): 408-444 (2013) - [c41]Faraz Ahmed, Muhammad Abulaish:
Identification of Sybil Communities Generating Context-Aware Spam on Online Social Networks. APWeb 2013: 268-279 - [c40]Sajid Yousuf Bhat, Muhammad Abulaish:
Community-based features for identifying spammers in online social networks. ASONAM 2013: 100-107 - [c39]Mudassir Wani, Majed A. AlRubaian, Muhammad Abulaish:
A User-Centric Feature Identification and Modeling Approach to Infer Social Ties in OSNs. iiWAS 2013: 107 - 2012
- [c38]Nur Al Hasan Haldar, Muhammad Abulaish, Syed Asim Pasha:
A Statistical Pattern Mining Approach for Identifying Wireless Network Intruders. ACITY (1) 2012: 131-140 - [c37]Sajid Yousuf Bhat, Muhammad Abulaish:
OCTracker: A Density-Based Framework for Tracking the Evolution of Overlapping Communities in OSNs. ASONAM 2012: 501-505 - [c36]Tarique Anwar, Muhammad Abulaish:
Mining an enriched social graph to model cross-thread community interactions and interests. MSM 2012: 35-38 - [c35]Tarique Anwar, Muhammad Abulaish:
Identifying cliques in dark web forums - An agglomerative clustering approach. ISI 2012: 171-173 - [c34]Muhammad Yasin, Muhammad Abulaish, Muhammad Nour Naeem Elmogy:
Forensic Analysis of Digsby Log Data to Trace Suspected User Activities. ITCS 2012: 119-126 - [c33]Nur Al Hasan Haldar, Muhammad Abulaish, Syed Asim Pasha:
An Activity Pattern Based Wireless Intrusion Detection System. ITNG 2012: 846-847 - [c32]M. Zubair Rafique, Muhammad Abulaish:
Graph-based learning model for detection of SMS spam on smart phones. IWCMC 2012: 1046-1051 - [c31]Tarique Anwar, Muhammad Abulaish:
Modeling a Web Forum Ecosystem into an Enriched Social Graph. MSM/MUSE 2012: 152-172 - [c30]Faraz Ahmed, Muhammad Abulaish:
An MCL-Based Approach for Spam Profile Detection in Online Social Networks. TrustCom 2012: 602-608 - [c29]Tarique Anwar, Muhammad Abulaish:
An MCL-Based Text Mining Approach for Namesake Disambiguation on the Web. Web Intelligence 2012: 40-44 - [c28]Sajid Yousuf Bhat, Muhammad Abulaish:
A density-based approach for mining overlapping communities from social network interactions. WIMS 2012: 9:1-9:7 - [c27]Ahmad Kamal, Muhammad Abulaish, Tarique Anwar:
Mining feature-opinion pairs and their reliability scores from web opinion sources. WIMS 2012: 15:1-15:7 - 2011
- [j4]Muhammad Abulaish, Jahiruddin, Lipika Dey:
Deep Text Mining for Automatic Keyphrase Extraction from Text Documents. J. Intell. Syst. 20(4): 327-351 (2011) - [c26]Faraz Ahmed, M. Zubair Rafique, Muhammad Abulaish:
A Data Mining Framework for Securing 3G Core Network from GTP Fuzzing Attacks. ICISS 2011: 280-293 - [c25]Waleed Halboob, Muhammad Abulaish, Khaled Alghathbar:
Quaternary privacy-levels preservation in computer forensics investigation process. ICITST 2011: 777-782 - [c24]Muhammad Abulaish, Jahiruddin, Lipika Dey:
A Statistical Approach for Automatic Keyphrase Extraction. IICAI 2011: 1100-1112 - [c23]Muhammad Abulaish, Tarique Anwar:
A web content mining approach for tag cloud generation. iiWAS 2011: 52-59 - [c22]Tarique Anwar, Muhammad Abulaish, Khaled Alghathbar:
Web content mining for alias identification: A first step towards suspect tracking. ISI 2011: 195-197 - [c21]Muhammad Abulaish:
Relation Characterization Using Ontological Concepts. ITNG 2011: 585-590 - [c20]M. Zubair Rafique, Muhammad Abulaish:
xMiner: Nip the Zero Day Exploits in the Bud. NCA 2011: 99-106 - [c19]Azeddine Chikh, Muhammad Abulaish, Syed Irfan Nabi, Khaled Alghathbar:
An Ontology Based Information Security Requirements Engineering Framework. STA 2011: 139-146 - [c18]Muhammad Abulaish, Syed Irfan Nabi, Khaled Alghathbar, Azeddine Chikh:
SIMOnt: A Security Information Management Ontology Framework. STA 2011: 201-208 - 2010
- [j3]Jahiruddin, Muhammad Abulaish, Lipika Dey:
A concept-driven biomedical knowledge extraction and visualization framework for conceptualization of text corpora. J. Biomed. Informatics 43(6): 1020-1035 (2010) - [c17]Muhammad Abulaish, Tanvir Ahmad, Jahiruddin, Mohammad Najmud Doja:
Opinion-Based Imprecise Query Answering. PAKDD (2) 2010: 238-248
2000 – 2009
- 2009
- [c16]Muhammad Abulaish, Jahiruddin, Mohammad Najmud Doja, Tanvir Ahmad:
Feature and Opinion Mining for Customer Review Summarization. PReMI 2009: 219-224 - [c15]Muhammad Abulaish, Jahiruddin, Lipika Dey:
A Relation Mining and Visualization Framework for Automated Text Summarization. PReMI 2009: 249-254 - [c14]Fokrul Alom Mazarbhuiya, Muhammad Abulaish, Anjana Kakoti Mahanta, Tanvir Ahmad:
Mining Local Association Rules from Temporal Data Set. PReMI 2009: 255-260 - 2008
- [c13]Lipika Dey, Muhammad Abulaish:
Fuzzy ontologies for handling uncertainties and inconsistencies in domain knowledge description. FUZZ-IEEE 2008: 1366-1373 - 2007
- [j2]Muhammad Abulaish, Lipika Dey:
Biological relation extraction and query answering from MEDLINE abstracts using ontology-based text mining. Data Knowl. Eng. 61(2): 228-262 (2007) - [c12]Lipika Dey, Muhammad Abulaish, Rohit Goyal, Kumar Shubham:
A Rough-Fuzzy Ontology Generation Framework and Its Application to Bio-medical Text Processing. AWIC 2007: 74-79 - [c11]Lipika Dey, Muhammad Abulaish, Jahiruddin Sharma, Gaurav Sharma:
Text Mining through Entity-Relationship Based Information Extraction. Web Intelligence/IAT Workshops 2007: 177-180 - [c10]Muhammad Abulaish, Lipika Dey:
A Fuzzy Ontology Generation Framework for Handling Uncertainties and Nonuniformity in Domain Knowledge Description. ICCTA 2007: 287-293 - [c9]Lipika Dey, Muhammad Abulaish, Jahiruddin:
Relation Extraction from Texts for Efficient Access to InformationApplication to Bio-Medical Text Processing. IICAI 2007: 1719-1737 - [c8]Lipika Dey, Muhammad Abulaish, Rohit Goyal, Jahiruddin:
Semantic Integration of Information Through Relation Mining - Application to Bio-medical Text Processing. PReMI 2007: 365-372 - 2006
- [j1]Muhammad Abulaish, Lipika Dey:
Information extraction and imprecise query answering from web documents. Web Intell. Agent Syst. 4(4): 407-429 (2006) - [c7]Lipika Dey, Muhammad Abulaish:
Enhancing a Biological Concept Ontology to Fuzzy Relational Ontology with Relations Mined from Text. RSCTC 2006: 527-536 - [c6]Muhammad Abulaish, Lipika Dey:
Interoperability among Distributed Overlapping Ontologies - A Fuzzy Ontology Framework. Web Intelligence 2006: 397-403 - 2005
- [c5]Muhammad Abulaish, Lipika Dey:
Knowledge Enhancement Through Ontology-Guided Text Mining. PReMI 2005: 601-604 - [c4]Muhammad Abulaish, Lipika Dey:
An Ontology-Based Pattern Mining System for Extracting Information from Biological Texts. RSFDGrC (2) 2005: 420-429 - [c3]Muhammad Abulaish, Lipika Dey:
Biological Ontology Enhancement with Fuzzy Relations: A Text-Mining Framework. Web Intelligence 2005: 379-385 - 2004
- [c2]Shailendra Singh, Lipika Dey, Muhammad Abulaish:
A Framework for Extending Fuzzy Description Logic to Ontology Based Document Processing. AWIC 2004: 95-104 - [c1]Muhammad Abulaish, Lipika Dey:
Using Part-of-Speech Patterns and Domain Ontology to Mine Imprecise Concepts from Text Documents. iiWAS 2004
Coauthor Index
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