Masoud Makrehchi

Orcid: 0000-0003-0287-9568

Affiliations:
  • University of Ontario


According to our database1, Masoud Makrehchi authored at least 74 papers between 2003 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
Generative AI for Enhancing Active Learning in Education: A Comparative Study of GPT-3.5 and GPT-4 in Crafting Customized Test Questions.
CoRR, 2024

Enhancing Text Classification through LLM-Driven Active Learning and Human Annotation.
CoRR, 2024

A Systematic Review of AI-Enabled Frameworks in Requirements Elicitation.
IEEE Access, 2024

Goal Model Extraction from User Stories Using Large Language Models.
Proceedings of the Quality of Information and Communications Technology, 2024

Coherence Graphs: Bridging the Gap in Text Segmentation with Unsupervised Learning.
Proceedings of the Natural Language Processing and Information Systems, 2024

A Comparative Study of Large Language Models for Goal Model Extraction.
Proceedings of the ACM/IEEE 27th International Conference on Model Driven Engineering Languages and Systems, 2024

Enhancing Diversity in Multi-Objective Feature Selection.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024

Feature Selection-driven Bias Deduction in Histopathology Images: Tackling Site-Specific Influences.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024

2023
Proceedings of the 3rd International Workshop on Mining and Learning in the Legal Domain (MLLD-23).
CoRR, 2023

Enhancing Content-Based Histopathology Image Retrieval Using QR Code Representation.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Intrusion Detection for Wireless Sensor Network Using Graph Neural Networks.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

A Task Scheduler for Mobile Edge Computing Using Priority-based Reinforcement Learning.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Ranking Center-based NSGA-II.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Self-Supervised Learning Using Noisy-Latent Augmentation.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

A Pairwise Surrogate Model using GNN for Evolutionary Optimization.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Uncertainty Quantification for Text Classification.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Making a Computational Attorney.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Uncertainty Quantification for Text Classification.
Proceedings of the Advances in Information Retrieval, 2023

The 3rd International Workshop on Mining and Learning in the Legal Domain.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2021
Edge-centric multi-view network representation for link mining in signed social networks.
Expert Syst. Appl., 2021

A More Effective Sentence-Wise Text Segmentation Approach Using BERT.
Proceedings of the 16th International Conference on Document Analysis and Recognition, 2021

House price prediction using clustering and genetic programming along with conducting a comparative study.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

2020
Document classification using convolutional neural networks with small window sizes and latent semantic analysis.
Web Intell., 2020

Basketball lineup performance prediction using edge-centric multi-view network analysis.
Soc. Netw. Anal. Min., 2020

A pareto front-based metric to identify major bitcoin networks influencers.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

2019
Interpolative self-training approach for link prediction.
Intell. Data Anal., 2019

Comparing Genetic Programming with Other Data Mining Techniques on Prediction Models.
Proceedings of the 14th International Conference on Computer Science & Education, 2019

Designing Solar Chimney Power Plant Using Meta-modeling, Multi-objective Optimization, and Innovization.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2019

Basketball lineup performance prediction using network analysis.
Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019

Deep Learning for Document Representation.
Proceedings of the Handbook of Deep Learning Applications., 2019

2018
Mining Twitter data for crime trend prediction.
Intell. Data Anal., 2018

Improving clustering performance using independent component analysis and unsupervised feature learning.
Hum. centric Comput. Inf. Sci., 2018

Sign Prediction in Signed Social Networks Using Inverse Squared Metric.
Proceedings of the Social, Cultural, and Behavioral Modeling, 2018

Detecting Agreement and Disagreement in Political Debates.
Proceedings of the Social, Cultural, and Behavioral Modeling, 2018

Latent Semantic Analysis Boosted Convolutional Neural Networks for Document Classification.
Proceedings of the 5th International Conference on Behavioral, 2018

2017
Extracting domain-specific stopwords for text classifiers.
Intell. Data Anal., 2017

Activity-based Twitter sampling for content-based and user-centric prediction models.
Hum. centric Comput. Inf. Sci., 2017

Content Tree Word Embedding for document representation.
Expert Syst. Appl., 2017

2016
Predicting political conflicts from polarized social media.
Web Intell., 2016

Hierarchical Agglomerative Clustering Using Common Neighbours Similarity.
Proceedings of the 2016 IEEE/WIC/ACM International Conference on Web Intelligence, 2016

Discovering Credible Twitter Users in Stock Market Domain.
Proceedings of the 2016 IEEE/WIC/ACM International Conference on Web Intelligence, 2016

Social Filtering: User-Centric Approach to Social Trend Prediction.
Proceedings of the 2016 IEEE/WIC/ACM International Conference on Web Intelligence, 2016

We Didn't Miss You: Interpolating Missing Opinions.
Proceedings of the 2016 IEEE/WIC/ACM International Conference on Web Intelligence, 2016

Mining Social Media Content for Crime Prediction.
Proceedings of the 2016 IEEE/WIC/ACM International Conference on Web Intelligence, 2016

Automated detection of atrial fibrillation episode using novel heart rate variability features.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

Interpolative self-training approach for sentiment analysis.
Proceedings of the 2016 International Conference on Behavioral, 2016

Activity-based sampling of Twitter users for temporal prediction models.
Proceedings of the 2016 International Conference on Behavioral, 2016

2015
Evaluating feature ranking methods in text classifiers.
Intell. Data Anal., 2015

How to Predict Social Trends by Mining User Sentiments.
Proceedings of the Social Computing, Behavioral-Cultural Modeling, and Prediction, 2015

Exploiting Class Bias for Discovery of Topical Experts in Social Media.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

Temporal Topic Inference for Trend Prediction.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

2014
The Correlation between Language Shift and Social Conflicts in Polarized Social Media.
Proceedings of the 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT), Warsaw, Poland, August 11-14, 2014, 2014

Winning by Following the Winners: Mining the Behaviour of Stock Market Experts in Social Media.
Proceedings of the Social Computing, Behavioral-Cultural Modeling and Prediction, 2014

2013
Stock Prediction Using Event-Based Sentiment Analysis.
Proceedings of the 2013 IEEE/WIC/ACM International Conferences on Web Intelligence, 2013

2012
Feature ranking fusion for text classifier.
Intell. Data Anal., 2012

2011
An information theoretic approach to generating fuzzy hypercubes for if-then classifiers.
J. Intell. Fuzzy Syst., 2011

Taxonomy-based Document Clustering.
J. Digit. Inf. Manag., 2011

Impact of Term Dependency and Class Imbalance on the Performance of Feature Ranking Methods.
Int. J. Pattern Recognit. Artif. Intell., 2011

Social link recommendation by learning hidden topics.
Proceedings of the 2011 ACM Conference on Recommender Systems, 2011

2010
Filter-Based Data Partitioning for Training Multiple Classifier Systems.
IEEE Trans. Knowl. Data Eng., 2010

Query-relevant document representation for text clustering.
Proceedings of the Fifth IEEE International Conference on Digital Information Management, 2010

Smuc 2010 industry panel.
Proceedings of the 2nd International Workshop on Search and Mining User-Generated Contents, 2010

2008
Automatic Extraction of Domain-Specific Stopwords from Labeled Documents.
Proceedings of the Advances in Information Retrieval , 2008

2007
Feature Ranking for Text Classifiers.
PhD thesis, 2007

Automatic Taxonomy Extraction Using Google and Term Dependency.
Proceedings of the 2007 IEEE / WIC / ACM International Conference on Web Intelligence, 2007

Combining feature ranking for text classification.
Proceedings of the IEEE International Conference on Systems, 2007

Learning social networks using multiple resampling method.
Proceedings of the IEEE International Conference on Systems, 2007

Learning Term Dependency Links Using Information Theoretic Inclusion Measure.
Proceedings of the Workshops Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

A Text Classification Framework with a Local Feature Ranking for Learning Social Networks.
Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

2006
Learning Social Networks from Web Documents Using Support Vector Classifiers.
Proceedings of the 2006 IEEE / WIC / ACM International Conference on Web Intelligence (WI 2006), 2006

2005
Text Classification Using Small Number of Features.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2005

Data Partitioning Evaluation Measures for Classifier Ensembles.
Proceedings of the Multiple Classifier Systems, 6th International Workshop, 2005

2004
An information-theoretic measure to evaluate data partitions in multiple classifiers.
Proceedings of the IEEE International Conference on Systems, 2004

2003
Generation of Fuzzy Membership Function Using Information Theory Measures and Genetic Algorithm.
Proceedings of the Fuzzy Sets and Systems - IFSA 2003, 10th International Fuzzy Systems Association World Congress, Istanbul, Turkey, June 30, 2003


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