| Conceptual and empirical comparison of dimensionality reduction algorithms (pca, kpca, lda, mds, svd, lle, isomap, le, ica, t-sne) F Anowar, S Sadaoui, B Selim Computer Science Review 40, 100378, 2021 | 726 | 2021 |
| Hate and offensive speech detection on Arabic social media S Alsafari, S Sadaoui, M Mouhoub Online Social Networks and Media 19, 100096, 2020 | 96 | 2020 |
| Mushroom Reproduction Optimization (MRO): a novel nature-inspired evolutionary algorithm M Bidar, HR Kanan, M Mouhoub, S Sadaoui 2018 IEEE congress on evolutionary computation (CEC), 1-10, 2018 | 35 | 2018 |
| Improving business decision making based on KPI management system PRM de Andrade, S Sadaoui Systems, Man, and Cybernetics (SMC), 2017 IEEE International Conference on …, 2017 | 35 | 2017 |
| Incremental Neural-Network Learning for Big Fraud Data F Anowar, S Sadaoui SMC 2020, 0 | 34* | |
| Detection of auction fraud in commercial sites F Anowar, S Sadaoui Journal of theoretical and applied electronic commerce research 15 (1), 81-98, 2020 | 32 | 2020 |
| An empirical analysis of imbalanced data classification S Zhang, S Sadaoui, M Mouhoub Computer and Information Science 8 (1), 151, 2015 | 32 | 2015 |
| Incremental learning framework for real‐world fraud detection environment F Anowar, S Sadaoui Computational Intelligence 37 (1), 635-656, 2021 | 30 | 2021 |
| A dynamic stage-based fraud monitoring framework of multiple live auctions S Sadaoui, X Wang Applied Intelligence 46, 197-213, 2017 | 29 | 2017 |
| Semi-supervised classification of fraud data in commercial auctions S Elshaar, S Sadaoui Applied Artificial Intelligence 34 (1), 47-63, 2020 | 28 | 2020 |
| Conceptual and empirical comparison of dimensionality reduction algorithms (pca, kpca, lda, mds, svd, lle, isomap, le, ica, t-sne). Comput. Sci. Rev. 40, 100378 (2021) F Anowar, S Sadaoui, B Selim | 27 | 2021 |
| Deep learning ensembles for hate speech detection S Alsafari, S Sadaoui, M Mouhoub 2020 IEEE 32nd International Conference on Tools with Artificial …, 2020 | 26 | 2020 |
| Online detection of shill bidding fraud based on machine learning techniques S Ganguly, S Sadaoui Recent Trends and Future Technology in Applied Intelligence: 31st …, 2018 | 26 | 2018 |
| Clustering and Labeling Auction Fraud Data A Alzahrani, S Sadaoui 3rd International Conference on Data Management, Analytics & Innovation , ICDMAI, 2019 | 24 | 2019 |
| A Multi-Attribute Auction Mechanism based on Conditional Constraints and Conditional Qualitative Preferences S Sadaoui, SK Shil Journal of Theoretical and Applied Electronic Commerce Research; 11 (1), 1-25, 2016 | 23 | 2016 |
| Semi-supervised self-training of hate and offensive speech from social media S Alsafari, S Sadaoui Applied Artificial Intelligence 35 (15), 1621-1645, 2021 | 22 | 2021 |
| Auction fraud classification based on clustering and sampling techniques F Anowar, S Sadaoui, M Mouhoub 2018 17th IEEE International Conference on Machine Learning and Applications …, 2018 | 22 | 2018 |
| A trust-based service suggestion system using human plausible reasoning S Abedinzadeh, S Sadaoui Applied Intelligence 41, 55-75, 2014 | 22 | 2014 |
| Scraping and preprocessing commercial auction data for fraud classification A Alzahrani, S Sadaoui arXiv preprint arXiv:1806.00656, 2018 | 21 | 2018 |
| Winner Determination in Combinatorial Reverse Auctions SK Shil, M Mouhoub, S Sadaoui Contemporary Challenges and Solutions in Applied Artificial Intelligence, 35-40, 2013 | 21 | 2013 |
Shubhashis Kumar ShilResearch Associate, Computer Science, University of ReginaE-mail megerősítve itt: uregina.ca