Publications

Books

1. M. Makrehchi. Efficient algorithm design. Packt Publishing, 2024.

Patents

1. S. Gao, H. franziska Hoffmann, N. Hristozova, E. Roman, N. Pogrebnyakov, Y. Feng, M. Makrehchi, T. S. Avery, S. Shaghaghian, and B. Ja-farpour. Systems and methods for deviation detection, information extraction and obligation deviation detection, 2024. US Patent 11,886,814.

2. W. Liao, M. Makrehchi, and S. Shah. System and method for forming predictions using event-based sentiment analysis, 2022. US Patent 11,348,012.

3. W. Liao, M. Makrehchi, and S. Shah. System and method for determining and utilizing successful observed performance, 2019. US-Patent, 10,290,058.

4. D. H. Dorr, M. Makrehchi, and C. Steele. Systems, methods, and interfaces for analyzing conceptually-related portions of text, 2016. US Patent 9,305,082.

Journal Papers

1. 1. R. Khosrowshahli, S. Rahnamayan, A. Ibrahim, A. A. Bidgoli, and M. Makrehchi. Population-level center-based sampling for meta-heuristic algorithms. Swarm and Evolutionary Computation, 92:101827, 2025.

   2. V. Siddeshwar, S. A. Alwidian, and M. Makrehchi. A systematic review of AI-enabled frameworks in requirements elicitation. IEEE Access, 12:154310–154336, 2024.

   3. M. Ahmadalinezhad, M. Makrehchi. Edge-centric multi-view network representation for link mining in signed social networks. Expert Systems Applications,  No. 170, 2021.

   4. M. Ahmadalinezhad, M. Makrehchi. Basketball lineup performance prediction using edge-centric multi-view network analysis. Social Netowrks Analysis and Mining, Vol. 10, No 1, pp.72-82,  2020.

   5. E. Gultepe, M. Kamkarhaghighi, M. Makrehchi. Document classification using convolutional neural networks with small window sizes and latent semantic analysis, Web Intelligence, Vol. 18, No. 3, pp. 239-248, 2020.

   6. M. Kamkarhaghighi, E. Gultepe, M. Makrehchi. Deep Learning for Document Representation, Handbook of Deep Learning Applications, pp. 101-110, 2019.

   7. S. Aghababaei, M. Makrehchi. Interpolative self-training approach for link prediction, Intell. Data Anal, Vol. 23, No 6. pp. 1379-1395, 2019.

   8. E. Gultepe,  M. Makrehchi. Improving clustering performance using independent component analysis and unsupervised feature learning, Human-centric Computing and Information Sciences,  Vol. 8, No. 25, pp. 1-19, 2018.

   9. A. M. Karimi-Majd, M. Fathian, M. Makrehchi, Consensus-based methodology for detection communities in multilayered networks, Physica A, Vol. 494, pp. 547-558, 2018.

   10. S. Aghababaei,  M. Makrehchi. Mining Twitter Data for Crime Trend Prediction, Intelligent Data Analysis, Vol. 22, No. 1, pp. 117-141, 2018.

   11. E. Gultepe, T. Conturo, M. Makrehchi, Predicting and grouping digitized paintings by style using unsupervised feature learning, Journal of Cultural Heritage,  Vol. 31, pp. 13-23, 2017.

   12. M. Kamkarhaghighi,  M. Makrehchi. Content Tree Word Embedding for Document Representation, Expert Systems With Applications, pp. 241-249, 2017.

   13. S. Aghababaei,  M. Makrehchi. Activity-based Twitter Sampling for Content-based and User-centric Prediction Models, Human-centric Computing and Information Sciences, Vol. 7, No. 3, pp. 1-20, 2017.

   14. M. Makrehchi, M. S. Kamel. Extracting Domain-Specific Stopwords for Text Classifiers, Intelligent Data Analysis Journal. Vol. 21, No. 1, pp. 39-62, 2017.

   15. M. Makrehchi. Predicting Political Conflicts from Polarized Social Media, Web Intelligence Journal, Vol. 14, no. 2, pp. 85-97, 2016.

   16. M. Makrehchi. Evaluating Feature Ranking Methods in Text Classifiers, Intelligent Data Analysis Journal, Vol. 19, pp. 1151-1170, 2015.

   17. M. Makrehchi, M. S. Kamel. Feature Ranking Fusion for Text Classification, Intelligent Data Analysis Journal, Vol. 16, pp. 879-896, 2012.

   18. M. Makrehchi. Taxonomy-based Document Clustering, Journal of Digital Information Management, Vol. 9, No. 2, pp. 79-86, 2011.

   19. M. Makrehchi, M. S.  Kamel.  Impact of Term Dependency and Class Imbalance on the Performance of Feature Ranking Methods for Text Classifiers, International Journal of Pattern Recognition and Artificial Intelligence. Vol. 25, No. 7, pp. 953-983, 2011. 

   20. M. Makrehchi, M. S. Kamel. An Information Theoretic Approach to Generating Fuzzy Hypercubes for If-Then Classifiers, Journal of Intelligent and Fuzzy Systems, Vol. 22, pp. 33-52, 2011. BibTex  Abstract and Publisher website

   21. R. A. Dara, M. Makrehchi, M. S. Kamel. Data Partitioning in Multiple Classifier Systems, IEEE Transactions on Knowledge and Data Engineering. Vol. 22, No. 4, pp. 508-522, 2010. BibTex   Abstract and Publisher website

   22. M. Makrehchi, M. S. Kamel. Aggressive Feature Selection by Feature Ranking. In Computational Methods of Feature Selection, Huan Liu and Hiroshi Motoda, Eds.; Chapman and Hall/CRC Press, 2007. BibTex  [Book chapter]

Conference Papers

1. 1. V. Siddeshwar, A. Azim, S. Alwidian, and M. Makrehchi. Towards enhancing aviation safety through advanced incident analysis using large language models. CASCON ’24, page 1–6, 2024.

   2. A. Maraj, M. V. Martin, and M. Makrehchi. Words that stick: Using keyword cohesion to improve text segmentation. In Proceedings of The Computational Natural Language Learning (CoNLL 2024), 2024.

   3. V. Siddeshwar, S. Alwidian, and M. Makrehchi. A comparative study of large language models for goal model extraction. In Proceedings of The System Analysis and Modelling (SAM) conference, 2024.

   4. F. Kheiri, A. A. Bidgoli, M. Makrehchi, and S. Rahnamayan. Feature selection-driven bias deduction in histopathology images: Tackling site-specific influences. In IEEE Congress on Evolutionary Computation, CEC 2024, Yokohama, Japan, June 30 - July 5, 2024, pages 1–8. IEEE, 2024.

   5. S. Z. Miyandoab, S. Rahnamayan, A. A. Bidgoli, and S. E. and M. Makrehchi. Enhancing diversity in multi-objective feature selection. In IEEE Congress on Evolutionary Computation, CEC 2024, Yokohama, Japan, June 30 - July 5, 2024, pages 1–8. IEEE, 2024.

   6. A. Maraj, M. Martin, and M. Makrehchi. Coherence graphs: Bridging the gap in text segmentation with unsupervised learning. In Proceedings of The 29th International Conference on Natural Language & Information Systems, 2024.

   7. A. Fariha, V. Gharavian, M. Makrehchi, S. Rahnamayan, S. Alwidian, and A. Azim. Log anomaly detection by leveraging LLM-based parsing and embedding with attention mechanism. In 2024 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE), pages 859–863, 2024.

   8. C. Xing and M. Makrehchi. Line graph is the key: An exploration of line graph on link prediction with socal networks. In Proceedings of The 11th International Conference on Behevioural and Social Computing, 2024.

   9. V. Siddeshwar, S. Alwidian, and M. Makrehchi. Goal model extraction from user stories using large language models. In Proceedings of The 17th International Conference on the Quality of Information and Communications Technology, 2024.

   10. H. Rouzegar and M. Makrehchi. Generative ai for enhancing active learning in education: A comparative study of gpt-3.5 and gpt-4 in crafting customized test questions. In Proceedings of The 37th Canadian Conference on Artificial Intelligence (Canadian AI 2024)), 2024.

   11. H. Rouzegar and M. Makrehchi. Enhancing text classification through LLM-driven active learning and human annotation. Proceedings of The 18th Linguistic Annotation Workshop (LAW-XVIII), pages 98–111, St. Julians, Malta, Mar. 2024. 

   12. V. Gharavian, S. Rahnamayan, A. Asilian Bidgoli, M. Makrehchi. A Pairwise Surrogate Model using GNN for Evolutionary Optimization. SMC 2023: 3996-4002.

   13. R. Khosrowshahli, S. Rahnamayan, A. Ibrahim, M. Makrehchi. Ranking Center-based NSGA-II. SMC 2023: 4162-4169 

   14. R. Khosrowshahli, S. Rahnamayan, A. Asilian Bidgoli, M. Makrehchi. Self-Supervised Learning Using Noisy-Latent Augmentation. SMC 2023: 4170-4175.

   15. A, Avan, Farnaz Kheiri, Q. H. Mahmoud, A. Azim, M. Makrehchi, S. Rahnamayan. A Task Scheduler for Mobile Edge Computing Using Priority-based Reinforcement Learning. SSCI 2023: 539-546.

   16. V. Gharavian, R. Khosrowshahli, Q. H. Mahmoud, M. Makrehchi, S. Rahnamayan. Intrusion Detection for Wireless Sensor Network Using Graph Neural Networks. SSCI 2023: 807-813.

   17. V. Gharavian, S. Rahnamayan, A. A. Bidgoli, and M. Makrehchi. A pairwise surrogate model using gnn for evolutionary optimization. 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC), pages 3996–4002,  10 2023.

   18. H. Rouzegar, S. Rahnamayan, A/ Asilian Bidgoli, M. Makrehchi. Enhancing Content-Based Histopathology Image Retrieval Using QR Code Representation. SSCI 2023: 1120-1125.

   19. D. Zhang, M. Sensoy, M. Makrehchi, B. Taneva-Popova, L. Gui, and Y. He. Uncertainty quantification for text classification. SIGIR 2023 - Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 3426–3429, 7 2023.

   20. M. Makrehchi, A. Petrova, D. Zhang, and J. Armour. The 3rd international workshop on mining and learning in the legal domain. International Conference on Information and Knowledge Management, Proceedings, pages 5277–5280, 10 2023.

   21. F. Azimlu, S. Rahnamayan, M. Makrehchi. House price prediction using clustering and genetic programming along with conducting a comparative study. GECCO Companion 2021: 1809-1816.

   22. A. Maraj, M. V. Martin, M. Makrehchi. A More Effective Sentence-Wise Text Segmentation Approach Using BERT. ICDAR (4) 2021: 236-250, 2020.

   23. J. Gillett, S. Rahnamayan, M. Makrehchi, A. A. Bidgoli. A pareto front-based metric to identify major bitcoin networks influencers. GECCO Companion 2020: 1395-1401

   24. M. Ahmadalinezhad, M. Makrehchi, Neil Seward. Basketball lineup performance prediction using network analysis. ASONAM 2019: 519-524

   25. F. Azimlu, S. Rahnamayan, M. Makrehchi, Pedram Karimipour-Fard. Designing Solar Chimney Power Plant Using Meta-modeling, Multi-objective Optimization, and Innovization. EMO 2019: 731-742

   26. F. Azimlu, S. Rahnamayan, M. Makrehchi, Naveen Kalra. Comparing Genetic Programming with Other Data Mining Techniques on Prediction Models. ICCSE 2019: 785-791

   27. M. Ahmadalinezhad, M. Makrehchi. Detecting Agreement and Disagreement in Political Debates, SBP-2018, Washington, DC, USA, pp. 54-60, July 10-13, 2018.

   28. M. Ahmadalinezhad, M. Makrehchi. Sign Prediction in Sign Social Networks Using Inverse Squared Metric, SBP-2018, Washington, DC, USA, pp. 220-227, July 10-13, 2018.

   29. E. Gultepe, M. Kamkarhaghighi, M. Makrehchi. Latent Semantic Analysis Boosted Convolutional Neural Networks for Document Classification. BESC 2018, pp. 93-98, 2018.

   30. S. Aghababaei,  M. Makrehchi. Interpolative Self-Training Approach for Sentiment Analysis. 3rd International Conference on Behavioral, Economic, and Socio-Cultural Computing (BESC2016), Durham, NC, USA, November 11-13, 2016.

   31. S. Aghababaei,  I. Chepurna, E. Gultepe, M. Makrehchi. Activity-Based Sampling of Twitter Users for Temporal Prediction Models, the 3rd International Conference on Behavioral, Economic, and Socio-Cultural Computing (BESC2016), Durham, NC, USA, pp. 23-28, pp. 29-34, November 11-13, 2016.

   32. M. Makrehchi. Hierarchical Agglomerative Clustering based on Common Neighbors Similarity, 2016 IEEE/WIC/ACM International Conference on Web Intelligence, Omaha, NE, USA, pp. 546-551,  October 13-16, 2016.

   33. S. Aghababaei, M. Makrehchi. Mining Social Media Content for Crime Prediction, 2016 IEEE/WIC/ACM International Conference on Web Intelligence, Omaha, NE, USA, pp. 526-531,  October 13-16, 2016.

   34. I. Chepurna, M. Makrehchi. We Didn't Miss You: Interpolating Missing Opinions. 2016 IEEE/WIC/ACM International Conference on Web Intelligence, Omaha, NE, USA, pp. 552-557,  October 13-16, 2016.

   35. I. Chepurna, M. Makrehchi. Social Filtering: User-Centric Approach to Social Trend Prediction. 2016 IEEE/WIC/ACM International Conference on Web Intelligence, Omaha, NE, USA, pp. 650-655,  October 13-16, 2016.

   36. M. Kamkarhaghighi, I. Chepurna, S. Aghababaei, M. Makrehchi. Discovering Credible Twitter Users in Stock Market Domain, 2016 IEEE/WIC/ACM International Conference on Web Intelligence, Omaha, NE, USA, pp. 66-72,  October 13-16, 2016.

   37. M. Gilani, J. M. Eklund, M. Makrehchi, Automated Detection of Atrial Fibrillation Episode Using Novel Heart Rate Variability Features, The 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’16), Orlando, FL, USA, August 16-20, pp. 3461-3464, 2016.

   38. S. Aghababaei,  M. Makrehchi. Temporal Topic Inference for Trend Prediction, ICDM Workshops 2015, Atlantic City, NJ, USA, pp. 877-884, November 14-17, 2015.

   39. I. Chepurna,  M. Makrehchi. Exploiting Class Bias for Discovery of Topical Experts in Social Media, ICDM Workshops 2015, Atlantic City, NJ, USA, pp. 64-71, November 14-17, 2015.

   40. I. Chepurna, S. Aghababaei, M. Makrehchi. How to Predict Social Trends by Mining User Sentiments, the International Conference on Social Computing, Behavioral-Cultural Modeling, and Prediction (SBP-2015), Washington DC, USA, pp. 270-275, March 31- April 3, 2015.

   41. M. Makrehchi. The correlation between Language Shift and Social Conflicts in Polarized Social Media, the IEEE/WIC/ACM International Conference on Web Intelligence (WI-14), Warsaw, Poland, pp. 166-171, Aug. 11-14, 2014. 

   42. W. Liao, S. Shah, M. Makrehchi. Winning by Following the Winners: Mining the Behavior of Stock Market Experts in Social Media, the International Conference on Social Computing, Behavioral-Cultural Modeling, and Prediction (SBP-2014), Washington DC, USA, pp. 103-110, April 2-4, 2014. [Best paper award]

   43. M. Makrehchi, S. Shah, W. Liao. Stock Prediction Using Event-based Sentiment Analysis, the IEEE/WIC/ACM International Conference on Web Intelligence (WI-13), Atlanta, GA,  pp. 337-342, Nov. 17-20, 2013. [acceptance rate: 20%]

   44. M. Makrehchi. Social Links Recommendation by Learning Hidden Topics", ACM Conference on Recommender Systems (RecSys--2011), Chicago, IL, pp. 189--195,  Oct. 23-27, 2011.

   45. M. Makrehchi. Query-relevant Document Representation for Text Clustering, Fifth International Conference on Digital Information Management (ICDIM 2010), Thunder bay, ON, Canada, pp. 132-138, 5--8 July, 2010.  BinTex  Abstract and Publisher website

   46. M. Makrehchi. Text Clustering Using Taxonomy, the 2008 IEEE/WIC/ACM International Conference on Web Intelligence, Dec 9-12, 2008, Sydney, Australia. [acceptance rate: 19%]

   47. M. Makrehchi, M. S. Kamel. Automatic Extraction of Domain-Specific Stopwords from Labeled Documents, the 2008 European Conference on Information Retrieval (ECIR2008), Glasgow, UK, pp. 222-233, 30th Mar.-3rd Apr, 2008. [acceptance rate: 23%]  BibTex    Abstract and Publisher website

   48. M. Makrehchi, M. S. Kamel. A Text Classification Framework with a Local Feature Ranking for Learning Social Networks, Accepted in the 2007 IEEE International Conference on Data Mining, (ICDM 2007), Omaha, NE, USA, pp. 589-594, 28-31 Oct. 2007.[acceptance rate: 19%]  BibTex   Abstract and Publisher website

   49. M. Makrehchi, M. S. Kamel. Automatic Taxonomy Extraction Using Google and Term Dependency, the 2007 IEEE/WIC/ACM International Conference on Web Intelligence (WI’07), Silicon Valley, CA, USA, pp. 321-325, 2-5 Nov. 2007.[acceptance rate: 17%]  BibTex  Abstract and Publisher website

   50. M. Makrehchi, M. S. Kamel. Learning Social Networks from Web Documents Using Support Vector Classifiers, the 2006 IEEE/WIC/ACM International Conference on Web Intelligence, Hong Kong, pp. 88-94, 18-22 Dec. 2006. [acceptance rate: 18%]  BibTex  Abstract and Publisher website

   51. M. Makrehchi, M. S. Kamel. Learning Term Dependency Links Using Information Theoretic Inclusion Measure, the 2007 ICDM Workshop on Mining Graphs and Complex Structures (MGCS2007), Omaha, NE, USA, pp. 423-428, 28-31 Oct. 2007.  BibTex  Abstract and Publisher website

   52. M. Makrehchi, M. S. Kamel. Combining Feature Ranking for Text Classification, IEEE International Conference on Systems, Man and Cybernetics, Montreal, Canada, 7-10 Oct. 2007.   BibTex  Abstract and Publisher website

   53. M. Makrehchi, M. S. Kamel. Learning Social Networks Using Multiple Resampling Method, IEEE International Conference on Systems, Man and Cybernetics, Montreal, Canada, 7-10 Oct. 2007.   BibTex  Abstract and Publisher website

   54. M. Makrehchi, M. S. Kamel. Building Social Networks from Web Documents: A Text Mining Approach, The 2nd LORNET Scentific Conference, Vancouver, BC, Canada, Nov. 14-18, 2005.   BibTex 

   55. M. Makrehchi, M. S. Kamel. Text Classification Using Small Number of Features, Machine Learning and Data Mining Conference (MLDM2005), Leipzig, Germany, pp. 580-589, July 9-11, 2005.   BibTex  Abstract and Publisher website

   56. R. A. Dara, M. Makrehchi, M. S. Kamel. Data Partitioning Evaluation Measures for Classifier Ensembles, the 6th International Workshop on Multiple Classifier Systems, Seaside, CA, USA, pp. 306-315, June 13-15, 2005.   BibTex  Abstract and Publisher website

   57. R. A. Dara, M. Makrehchi, M. S. Kamel. An Information-Theoretic Measure to Evaluate Data Partitions in Multiple Classifiers, IEEE SMC-2004, The Hague, The Netherlands, pp. 4826-4831, Oct. 10-13, 2004.   BibTex  Abstract and Publisher website