Generation of Fuzzy Membership Function Using Information Theory Measures and Genetic Algorithm. - Masoud Makrehchi; Otman A. Basir; Mohamed Kamel (IFSA, 2003)

An information-theoretic measure to evaluate data partitions in multiple classifiers. - Rozita A. Dara 001; Masoud Makrehchi; Mohamed S. Kamel (SMC (5), 2004)

Data Partitioning Evaluation Measures for Classifier Ensembles. - Rozita A. Dara 001; Masoud Makrehchi; Mohamed S. Kamel (Multiple Classifier Systems, 2005)

Text Classification Using Small Number of Features. - Masoud Makrehchi; Mohamed S. Kamel (MLDM, 2005)

Learning Social Networks from Web Documents Using Support Vector Classifiers. - Masoud Makrehchi; Mohamed S. Kamel (Web Intelligence, 2006)

A Text Classification Framework with a Local Feature Ranking for Learning Social Networks. - Masoud Makrehchi; Mohamed S. Kamel (ICDM, 2007)

Learning Term Dependency Links Using Information Theoretic Inclusion Measure. - Masoud Makrehchi; Mohamed S. Kamel (ICDM Workshops, 2007)

Learning social networks using multiple resampling method. - Masoud Makrehchi; Mohamed S. Kamel (SMC, 2007)

Combining feature ranking for text classification. - Masoud Makrehchi; Mohamed S. Kamel (SMC, 2007)

Automatic Taxonomy Extraction Using Google and Term Dependency. - Masoud Makrehchi; Mohamed S. Kamel (Web Intelligence, 2007)

Feature Ranking for Text Classifiers. - Masoud Makrehchi (2007)

Automatic Extraction of Domain-Specific Stopwords from Labeled Documents. - Masoud Makrehchi; Mohamed S. Kamel (ECIR, 2008)

Smuc 2010 industry panel. - Nayer M. Wanas; Masoud Makrehchi; José Carlos Cortizo (SMUC@CIKM, 2010)

Query-relevant document representation for text clustering. - Masoud Makrehchi (ICDIM, 2010)

Filter-Based Data Partitioning for Training Multiple Classifier Systems. - Rozita A. Dara 001; Masoud Makrehchi; Mohamed S. Kamel (IEEE Trans. Knowl. Data Eng., 2010)

Social link recommendation by learning hidden topics. - Masoud Makrehchi (RecSys, 2011)

Impact of Term Dependency and Class Imbalance on the Performance of Feature Ranking Methods. - Masoud Makrehchi; Mohamed S. Kamel (Int. J. Pattern Recognit. Artif. Intell., 2011)

Taxonomy-based Document Clustering. - Masoud Makrehchi (J. Digit. Inf. Manag., 2011)

An information theoretic approach to generating fuzzy hypercubes for if-then classifiers. - Masoud Makrehchi; Mohamed S. Kamel (J. Intell. Fuzzy Syst., 2011)

Feature ranking fusion for text classifier. - Masoud Makrehchi; Mohamed S. Kamel (Intell. Data Anal., 2012)

Stock Prediction Using Event-Based Sentiment Analysis. - Masoud Makrehchi; Sameena Shah; Wenhui Liao (Web Intelligence, 2013)

Winning by Following the Winners: Mining the Behaviour of Stock Market Experts in Social Media. - Wenhui Liao; Sameena Shah; Masoud Makrehchi (SBP, 2014)

The Correlation between Language Shift and Social Conflicts in Polarized Social Media. - Masoud Makrehchi (WI-IAT (1), 2014)

Temporal Topic Inference for Trend Prediction. - Somayyeh Aghababaei; Masoud Makrehchi (ICDM Workshops, 2015)

Exploiting Class Bias for Discovery of Topical Experts in Social Media. - Iuliia Chepurna; Masoud Makrehchi (ICDM Workshops, 2015)

How to Predict Social Trends by Mining User Sentiments. - Iuliia Chepurna; Somayyeh Aghababaei; Masoud Makrehchi (SBP, 2015)

Evaluating feature ranking methods in text classifiers. - Masoud Makrehchi (Intell. Data Anal., 2015)

Activity-based sampling of Twitter users for temporal prediction models. - Somayyeh Aghababaei; Eren Gultepe; Iuliia Chepurna; Masoud Makrehchi (BESC, 2016)

Interpolative self-training approach for sentiment analysis. - Somayyeh Aghababaei; Masoud Makrehchi (BESC, 2016)

Automated detection of atrial fibrillation episode using novel heart rate variability features. - Mehrin Gilani; J. Mikael Eklund; Masoud Makrehchi (EMBC, 2016)

Mining Social Media Content for Crime Prediction. - Somayyeh Aghababaei; Masoud Makrehchi (WI, 2016)

We Didn't Miss You: Interpolating Missing Opinions. - Iuliia Chepurna; Masoud Makrehchi (WI, 2016)

Social Filtering: User-Centric Approach to Social Trend Prediction. - Iuliia Chepurna; Masoud Makrehchi (WI, 2016)

Discovering Credible Twitter Users in Stock Market Domain. - Mehran Kamkarhaghighi; Iuliia Chepurna; Somayyeh Aghababaei; Masoud Makrehchi (WI, 2016)

Hierarchical Agglomerative Clustering Using Common Neighbours Similarity. - Masoud Makrehchi (WI, 2016)

Predicting political conflicts from polarized social media. - Masoud Makrehchi (Web Intell., 2016)

Content Tree Word Embedding for document representation. - Mehran Kamkarhaghighi; Masoud Makrehchi (Expert Syst. Appl., 2017)

Activity-based Twitter sampling for content-based and user-centric prediction models. - Somayyeh Aghababaei; Masoud Makrehchi (Hum. centric Comput. Inf. Sci., 2017)

Extracting domain-specific stopwords for text classifiers. - Masoud Makrehchi; Mohamed S. Kamel (Intell. Data Anal., 2017)

Latent Semantic Analysis Boosted Convolutional Neural Networks for Document Classification. - Eren Gultepe; Mehran Kamkarhaghighi; Masoud Makrehchi (BESC, 2018)

Detecting Agreement and Disagreement in Political Debates. - Mahboubeh Ahmadalinezhad; Masoud Makrehchi (SBP-BRiMS, 2018)

Sign Prediction in Signed Social Networks Using Inverse Squared Metric. - Mahboubeh Ahmadalinezhad; Masoud Makrehchi (SBP-BRiMS, 2018)

Improving clustering performance using independent component analysis and unsupervised feature learning. - Eren Gultepe; Masoud Makrehchi (Hum. centric Comput. Inf. Sci., 2018)

Mining Twitter data for crime trend prediction. - Somayyeh Aghababaei; Masoud Makrehchi (Intell. Data Anal., 2018)

Deep Learning for Document Representation. - Mehran Kamkarhaghighi; Eren Gultepe; Masoud Makrehchi (Handbook of Deep Learning Applications, 2019)

Basketball lineup performance prediction using network analysis. - Mahboubeh Ahmadalinezhad; Masoud Makrehchi; Neil Seward (ASONAM, 2019)

Designing Solar Chimney Power Plant Using Meta-modeling, Multi-objective Optimization, and Innovization. - Fateme Azimlu; Shahryar Rahnamayan; Masoud Makrehchi; Pedram Karimipour-Fard (EMO, 2019)

Comparing Genetic Programming with Other Data Mining Techniques on Prediction Models. - Fateme Azimlu; Shahryar Rahnamayan; Masoud Makrehchi; Naveen Kalra (ICCSE, 2019)

Interpolative self-training approach for link prediction. - Somayyeh Aghababaei; Masoud Makrehchi (Intell. Data Anal., 2019)

A pareto front-based metric to identify major bitcoin networks influencers. - Jonathan Gillett; Shahryar Rahnamayan; Masoud Makrehchi; Azam Asilian Bidgoli (GECCO Companion, 2020)

Basketball lineup performance prediction using edge-centric multi-view network analysis. - Mahboubeh Ahmadalinezhad; Masoud Makrehchi (Soc. Netw. Anal. Min., 2020)

Document classification using convolutional neural networks with small window sizes and latent semantic analysis. - Eren Gultepe; Mehran Kamkarhaghighi; Masoud Makrehchi (Web Intell., 2020)

House price prediction using clustering and genetic programming along with conducting a comparative study. - Fateme Azimlu; Shahryar Rahnamayan; Masoud Makrehchi (GECCO Companion, 2021)

A More Effective Sentence-Wise Text Segmentation Approach Using BERT. - Amit Maraj; Miguel Vargas Martin; Masoud Makrehchi (ICDAR (4), 2021)

Edge-centric multi-view network representation for link mining in signed social networks. - Mahboubeh Ahmadalinezhad; Masoud Makrehchi (Expert Syst. Appl., 2021)

The 3rd International Workshop on Mining and Learning in the Legal Domain. - Masoud Makrehchi; Dell Zhang; Alina Petrova; John Armour (CIKM, 2023)

Uncertainty Quantification for Text Classification. - Dell Zhang; Murat Sensoy; Masoud Makrehchi; Bilyana Taneva-Popova (ECIR (3), 2023)

Making a Computational Attorney. - Dell Zhang; Frank Schilder; Jack G. Conrad; Masoud Makrehchi; David von Rickenbach; Isabelle Moulinier (SDM, 2023)

Uncertainty Quantification for Text Classification. - Dell Zhang; Murat Sensoy; Masoud Makrehchi; Bilyana Taneva-Popova; Lin Gui 003; Yulan He 001 (SIGIR, 2023)

A Pairwise Surrogate Model using GNN for Evolutionary Optimization. - Vida Gharavian; Shahryar Rahnamayan; Azam Asilian Bidgoli; Masoud Makrehchi (SMC, 2023)

Self-Supervised Learning Using Noisy-Latent Augmentation. - Rasa Khosrowshahli; Shahryar Rahnamayan; Azam Asilian Bidgoli; Masoud Makrehchi (SMC, 2023)

Ranking Center-based NSGA-II. - Rasa Khosrowshahli; Shahryar Rahnamayan; Amin Ibrahim; Masoud Makrehchi (SMC, 2023)

A Task Scheduler for Mobile Edge Computing Using Priority-based Reinforcement Learning. - Amin Avan; Farnaz Kheiri; Qusay H. Mahmoud; Akramul Azim; Masoud Makrehchi; Shahryar Rahnamayan (SSCI, 2023)

Intrusion Detection for Wireless Sensor Network Using Graph Neural Networks. - Vida Gharavian; Rasa Khosrowshahli; Qusay H. Mahmoud; Masoud Makrehchi; Shahryar Rahnamayan (SSCI, 2023)

Enhancing Content-Based Histopathology Image Retrieval Using QR Code Representation. - Hamidreza Rouzegar; Shahryar Rahnamayan; Azam Asilian Bidgoli; Masoud Makrehchi (SSCI, 2023)

Proceedings of the 3rd International Workshop on Mining and Learning in the Legal Domain (MLLD-23). - Masoud Makrehchi; Dell Zhang; Alina Petrova; John Armour (CoRR, 2023)

Generative AI for Enhancing Active Learning in Education: A Comparative Study of GPT-3.5 and GPT-4 in Crafting Customized Test Questions. - Hamidreza Rouzegar; Masoud Makrehchi (Canadian AI, 2024)

Line Graph is the Key: An Exploration of Line Graph on Link Prediction with Social Networks. - Chen Xing; Masoud Makrehchi (BESC, 2024)

Log Anomaly Detection by Leveraging LLM-Based Parsing and Embedding with Attention Mechanism. - Asma Fariha; Vida Gharavian; Masoud Makrehchi; Shahryar Rahnamayan; Sanaa A. Alwidian; Akramul Azim (CCECE, 2024)

Feature Selection-driven Bias Deduction in Histopathology Images: Tackling Site-Specific Influences. - Farnaz Kheiri; Azam Asilian Bidgoli; Masoud Makrehchi; Shahryar Rahnamayan (CEC, 2024)

Enhancing Diversity in Multi-Objective Feature Selection. - Sevil Zanjani Miyandoab; Shahryar Rahnamayan; Azam Asilian Bidgoli; Sevda Ebrahimi; Masoud Makrehchi (CEC, 2024)

A Comparative Study of Large Language Models for Goal Model Extraction. - Vaishali Siddeshwar; Sanaa A. Alwidian; Masoud Makrehchi (MoDELS (Companion), 2024)

Coherence Graphs: Bridging the Gap in Text Segmentation with Unsupervised Learning. - Amit Maraj; Miguel Vargas Martin; Masoud Makrehchi (NLDB (2), 2024)

Goal Model Extraction from User Stories Using Large Language Models. - Vaishali Siddeshwar; Sanaa A. Alwidian; Masoud Makrehchi (QUATIC, 2024)

A Systematic Review of AI-Enabled Frameworks in Requirements Elicitation. - Vaishali Siddeshwar; Sanaa A. Alwidian; Masoud Makrehchi (IEEE Access, 2024)

Enhancing Text Classification through LLM-Driven Active Learning and Human Annotation. - Hamidreza Rouzegar; Masoud Makrehchi (CoRR, 2024)

Generative AI for Enhancing Active Learning in Education: A Comparative Study of GPT-3.5 and GPT-4 in Crafting Customized Test Questions. - Hamdireza Rouzegar; Masoud Makrehchi (CoRR, 2024)

Population-level center-based sampling for meta-heuristic algorithms. - Rasa Khosrowshahli; Shahryar Rahnamayan; Amin Ibrahim; Azam Asilian Bidgoli; Masoud Makrehchi (Swarm Evol. Comput., 2025)