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Masoud Makrehchi
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- affiliation: University of Ontario
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2020 – today
- 2024
- [j17]Vaishali Siddeshwar, Sanaa A. Alwidian, Masoud Makrehchi:
A Systematic Review of AI-Enabled Frameworks in Requirements Elicitation. IEEE Access 12: 154310-154336 (2024) - [c52]Farnaz Kheiri, Azam Asilian Bidgoli, Masoud Makrehchi, Shahryar Rahnamayan:
Feature Selection-driven Bias Deduction in Histopathology Images: Tackling Site-Specific Influences. CEC 2024: 1-8 - [c51]Sevil Zanjani Miyandoab, Shahryar Rahnamayan, Azam Asilian Bidgoli, Sevda Ebrahimi, Masoud Makrehchi:
Enhancing Diversity in Multi-Objective Feature Selection. CEC 2024: 1-8 - [c50]Vaishali Siddeshwar
, Sanaa A. Alwidian
A Comparative Study of Large Language Models for Goal Model Extraction. MoDELS (Companion) 2024: 253-263 - [c49]Amit Maraj
Coherence Graphs: Bridging the Gap in Text Segmentation with Unsupervised Learning. NLDB (2) 2024: 139-149 - [c48]Vaishali Siddeshwar
Goal Model Extraction from User Stories Using Large Language Models. QUATIC 2024: 269-276 - [i5]Hamidreza Rouzegar, Masoud Makrehchi:
Enhancing Text Classification through LLM-Driven Active Learning and Human Annotation. CoRR abs/2406.12114 (2024) - [i4]Hamdireza Rouzegar, Masoud Makrehchi:
Generative AI for Enhancing Active Learning in Education: A Comparative Study of GPT-3.5 and GPT-4 in Crafting Customized Test Questions. CoRR abs/2406.13903 (2024) - [i3]Sevil Zanjani Miyandoab, Shahryar Rahnamayan, Azam Asilian Bidgoli, Sevda Ebrahimi, Masoud Makrehchi:
Enhancing Diversity in Multi-objective Feature Selection. CoRR abs/2407.17795 (2024) - 2023
- [c47]Masoud Makrehchi
The 3rd International Workshop on Mining and Learning in the Legal Domain. CIKM 2023: 5277-5280 - [c46]Dell Zhang
Uncertainty Quantification for Text Classification. ECIR (3) 2023: 362-369 - [c45]Dell Zhang, Frank Schilder, Jack G. Conrad, Masoud Makrehchi, David von Rickenbach, Isabelle Moulinier:
Making a Computational Attorney. SDM 2023: 965-968 - [c44]Dell Zhang
Uncertainty Quantification for Text Classification. SIGIR 2023: 3426-3429 - [c43]Vida Gharavian, Shahryar Rahnamayan, Azam Asilian Bidgoli, Masoud Makrehchi:
A Pairwise Surrogate Model using GNN for Evolutionary Optimization. SMC 2023: 3996-4002 - [c42]Rasa Khosrowshahli, Shahryar Rahnamayan, Amin Ibrahim, Masoud Makrehchi:
Ranking Center-based NSGA-II. SMC 2023: 4162-4169 - [c41]Rasa Khosrowshahli, Shahryar Rahnamayan, Azam Asilian Bidgoli, Masoud Makrehchi:
Self-Supervised Learning Using Noisy-Latent Augmentation. SMC 2023: 4170-4175 - [c40]Amin Avan, Farnaz Kheiri, Qusay H. Mahmoud, Akramul Azim, Masoud Makrehchi, Shahryar Rahnamayan:
A Task Scheduler for Mobile Edge Computing Using Priority-based Reinforcement Learning. SSCI 2023: 539-546 - [c39]Vida Gharavian, Rasa Khosrowshahli, Qusay H. Mahmoud, Masoud Makrehchi, Shahryar Rahnamayan:
Intrusion Detection for Wireless Sensor Network Using Graph Neural Networks. SSCI 2023: 807-813 - [c38]Hamidreza Rouzegar, Shahryar Rahnamayan, Azam Asilian Bidgoli, Masoud Makrehchi:
Enhancing Content-Based Histopathology Image Retrieval Using QR Code Representation. SSCI 2023: 1120-1125 - [i2]Dell Zhang, Frank Schilder, Jack G. Conrad, Masoud Makrehchi, David von Rickenbach, Isabelle Moulinier:
Making a Computational Attorney. CoRR abs/2303.05383 (2023) - [i1]Masoud Makrehchi, Dell Zhang, Alina Petrova, John Armour:
Proceedings of the 3rd International Workshop on Mining and Learning in the Legal Domain (MLLD-23). CoRR abs/2311.10733 (2023) - 2021
- [j16]Mahboubeh Ahmadalinezhad, Masoud Makrehchi:
Edge-centric multi-view network representation for link mining in signed social networks. Expert Syst. Appl. 170: 114552 (2021) - [c37]Fateme Azimlu, Shahryar Rahnamayan, Masoud Makrehchi:
House price prediction using clustering and genetic programming along with conducting a comparative study. GECCO Companion 2021: 1809-1816 - [c36]Amit Maraj, Miguel Vargas Martin, Masoud Makrehchi:
A More Effective Sentence-Wise Text Segmentation Approach Using BERT. ICDAR (4) 2021: 236-250 - 2020
- [j15]Mahboubeh Ahmadalinezhad
Basketball lineup performance prediction using edge-centric multi-view network analysis. Soc. Netw. Anal. Min. 10(1): 72 (2020) - [j14]Eren Gultepe, Mehran Kamkarhaghighi, Masoud Makrehchi:
Document classification using convolutional neural networks with small window sizes and latent semantic analysis. Web Intell. 18(3): 239-248 (2020) - [c35]Jonathan Gillett, Shahryar Rahnamayan, Masoud Makrehchi, Azam Asilian Bidgoli:
A pareto front-based metric to identify major bitcoin networks influencers. GECCO Companion 2020: 1395-1401
2010 – 2019
- 2019
- [j13]Somayyeh Aghababaei, Masoud Makrehchi:
Interpolative self-training approach for link prediction. Intell. Data Anal. 23(6): 1379-1395 (2019) - [c34]Mahboubeh Ahmadalinezhad, Masoud Makrehchi, Neil Seward:
Basketball lineup performance prediction using network analysis. ASONAM 2019: 519-524 - [c33]Fateme Azimlu
Designing Solar Chimney Power Plant Using Meta-modeling, Multi-objective Optimization, and Innovization. EMO 2019: 731-742 - [c32]Fateme Azimlu, Shahryar Rahnamayan, Masoud Makrehchi, Naveen Kalra:
Comparing Genetic Programming with Other Data Mining Techniques on Prediction Models. ICCSE 2019: 785-791 - [p1]Mehran Kamkarhaghighi, Eren Gultepe, Masoud Makrehchi:
Deep Learning for Document Representation. Handbook of Deep Learning Applications 2019: 101-110 - 2018
- [j12]Eren Gultepe, Masoud Makrehchi:
Improving clustering performance using independent component analysis and unsupervised feature learning. Hum. centric Comput. Inf. Sci. 8: 25 (2018) - [j11]Somayyeh Aghababaei, Masoud Makrehchi:
Mining Twitter data for crime trend prediction. Intell. Data Anal. 22(1): 117-141 (2018) - [c31]Eren Gultepe, Mehran Kamkarhaghighi, Masoud Makrehchi:
Latent Semantic Analysis Boosted Convolutional Neural Networks for Document Classification. BESC 2018: 93-98 - [c30]Mahboubeh Ahmadalinezhad, Masoud Makrehchi:
Detecting Agreement and Disagreement in Political Debates. SBP-BRiMS 2018: 54-60 - [c29]Mahboubeh Ahmadalinezhad, Masoud Makrehchi:
Sign Prediction in Signed Social Networks Using Inverse Squared Metric. SBP-BRiMS 2018: 220-227 - 2017
- [j10]Mehran Kamkarhaghighi, Masoud Makrehchi:
Content Tree Word Embedding for document representation. Expert Syst. Appl. 90: 241-249 (2017) - [j9]Somayyeh Aghababaei, Masoud Makrehchi:
Activity-based Twitter sampling for content-based and user-centric prediction models. Hum. centric Comput. Inf. Sci. 7: 3 (2017) - [j8]Masoud Makrehchi, Mohamed S. Kamel:
Extracting domain-specific stopwords for text classifiers. Intell. Data Anal. 21(1): 39-62 (2017) - 2016
- [j7]Masoud Makrehchi:
Predicting political conflicts from polarized social media. Web Intell. 14(2): 85-97 (2016) - [c28]Somayyeh Aghababaei, Eren Gultepe, Iuliia Chepurna, Masoud Makrehchi:
Activity-based sampling of Twitter users for temporal prediction models. BESC 2016: 1-6 - [c27]Somayyeh Aghababaei, Masoud Makrehchi:
Interpolative self-training approach for sentiment analysis. BESC 2016: 1-6 - [c26]Mehrin Gilani, J. Mikael Eklund, Masoud Makrehchi:
Automated detection of atrial fibrillation episode using novel heart rate variability features. EMBC 2016: 3461-3464 - [c25]Mehran Kamkarhaghighi, Iuliia Chepurna, Somayyeh Aghababaei, Masoud Makrehchi:
Discovering Credible Twitter Users in Stock Market Domain. WI 2016: 66-72 - [c24]Somayyeh Aghababaei, Masoud Makrehchi:
Mining Social Media Content for Crime Prediction. WI 2016: 526-531 - [c23]Masoud Makrehchi:
Hierarchical Agglomerative Clustering Using Common Neighbours Similarity. WI 2016: 546-551 - [c22]Iuliia Chepurna, Masoud Makrehchi:
We Didn't Miss You: Interpolating Missing Opinions. WI 2016: 552-557 - [c21]Iuliia Chepurna, Masoud Makrehchi:
Social Filtering: User-Centric Approach to Social Trend Prediction. WI 2016: 650-655 - 2015
- [j6]Masoud Makrehchi:
Evaluating feature ranking methods in text classifiers. Intell. Data Anal. 19(5): 1151-1170 (2015) - [c20]Iuliia Chepurna, Masoud Makrehchi:
Exploiting Class Bias for Discovery of Topical Experts in Social Media. ICDM Workshops 2015: 64-71 - [c19]Somayyeh Aghababaei, Masoud Makrehchi:
Temporal Topic Inference for Trend Prediction. ICDM Workshops 2015: 877-884 - [c18]Iuliia Chepurna, Somayyeh Aghababaei, Masoud Makrehchi:
How to Predict Social Trends by Mining User Sentiments. SBP 2015: 270-275 - 2014
- [c17]Wenhui Liao, Sameena Shah, Masoud Makrehchi:
Winning by Following the Winners: Mining the Behaviour of Stock Market Experts in Social Media. SBP 2014: 103-110 - [c16]Masoud Makrehchi:
The Correlation between Language Shift and Social Conflicts in Polarized Social Media. WI-IAT (1) 2014: 166-171 - 2013
- [c15]Masoud Makrehchi, Sameena Shah, Wenhui Liao:
Stock Prediction Using Event-Based Sentiment Analysis. Web Intelligence 2013: 337-342 - 2012
- [j5]Masoud Makrehchi, Mohamed S. Kamel
Feature ranking fusion for text classifier. Intell. Data Anal. 16(6): 879-896 (2012) - 2011
- [j4]Masoud Makrehchi, Mohamed S. Kamel
Impact of Term Dependency and Class Imbalance on the Performance of Feature Ranking Methods. Int. J. Pattern Recognit. Artif. Intell. 25(7): 953-983 (2011) - [j3]Masoud Makrehchi:
Taxonomy-based Document Clustering. J. Digit. Inf. Manag. 9(2): 79-86 (2011) - [j2]Masoud Makrehchi, Mohamed S. Kamel
An information theoretic approach to generating fuzzy hypercubes for if-then classifiers. J. Intell. Fuzzy Syst. 22(1): 33-52 (2011) - [c14]Masoud Makrehchi:
Social link recommendation by learning hidden topics. RecSys 2011: 189-196 - 2010
- [j1]Rozita A. Dara, Masoud Makrehchi, Mohamed S. Kamel
Filter-Based Data Partitioning for Training Multiple Classifier Systems. IEEE Trans. Knowl. Data Eng. 22(4): 508-522 (2010) - [c13]Nayer M. Wanas, Masoud Makrehchi, José Carlos Cortizo:
Smuc 2010 industry panel. SMUC@CIKM 2010: 127-128 - [c12]Masoud Makrehchi:
Query-relevant document representation for text clustering. ICDIM 2010: 132-138
2000 – 2009
- 2008
- [c11]Masoud Makrehchi, Mohamed S. Kamel
Automatic Extraction of Domain-Specific Stopwords from Labeled Documents. ECIR 2008: 222-233 - 2007
- [b1]Masoud Makrehchi:
Feature Ranking for Text Classifiers. University of Waterloo, Ontario, Canada, 2007 - [c10]Masoud Makrehchi, Mohamed S. Kamel
Learning Term Dependency Links Using Information Theoretic Inclusion Measure. ICDM Workshops 2007: 423-428 - [c9]Masoud Makrehchi, Mohamed S. Kamel
A Text Classification Framework with a Local Feature Ranking for Learning Social Networks. ICDM 2007: 589-594 - [c8]Masoud Makrehchi, Mohamed S. Kamel
Learning social networks using multiple resampling method. SMC 2007: 406-411 - [c7]Masoud Makrehchi, Mohamed S. Kamel
Combining feature ranking for text classification. SMC 2007: 510-515 - [c6]Masoud Makrehchi, Mohamed S. Kamel:
Automatic Taxonomy Extraction Using Google and Term Dependency. Web Intelligence 2007: 321-325 - 2006
- [c5]Masoud Makrehchi, Mohamed S. Kamel
Learning Social Networks from Web Documents Using Support Vector Classifiers. Web Intelligence 2006: 88-94 - 2005
- [c4]Rozita A. Dara, Masoud Makrehchi, Mohamed S. Kamel:
Data Partitioning Evaluation Measures for Classifier Ensembles. Multiple Classifier Systems 2005: 306-315 - [c3]Masoud Makrehchi, Mohamed S. Kamel:
Text Classification Using Small Number of Features. MLDM 2005: 580-589 - 2004
- [c2]Rozita A. Dara, Masoud Makrehchi, Mohamed S. Kamel
An information-theoretic measure to evaluate data partitions in multiple classifiers. SMC (5) 2004: 4826-4831 - 2003
- [c1]Masoud Makrehchi, Otman A. Basir, Mohamed Kamel:
Generation of Fuzzy Membership Function Using Information Theory Measures and Genetic Algorithm. IFSA 2003: 603-610
Coauthor Index
aka: Mohamed Kamel
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last updated on 2024-11-08 21:27 CET by the dblp team
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