| Random forests for diabetes diagnosis S Benbelkacem, B Atmani 2019 International Conference on Computer and Information Sciences (ICCIS), 1-4, 2019 | 78 | 2019 |
| Knowledge discovery in database: Induction graph and cellular automaton B Atmani, B Beldjilali Computing and Informatics 26 (2), 171-197, 2007 | 69 | 2007 |
| Combining fuzzy AHP with GIS and decision rules for industrial site selection A Taibi, B Atmani International Journal of Interactive Multimedia and Artificial Intelligence …, 2017 | 67 | 2017 |
| Dynamic knowledge mapping guided by data mining: application on healthcare M Brahami, B Atmani, N Matta Journal of Information Processing Systems 9 (1), 1-30, 2013 | 60 | 2013 |
| Diabetes diagnosis by case-based reasoning and fuzzy logic M Benamina, B Atmani, S Benbelkacem IJIMAI 5 (3), 72-80, 2018 | 52 | 2018 |
| Supervised feature selection for diagnosis of coronary artery disease based on genetic algorithm S Mokeddem, B Atmani, M Mokaddem arXiv preprint arXiv:1305.6046, 2013 | 38 | 2013 |
| Machine learning for emergency department management S Benbelkacem, F Kadri, B Atmani, S Chaabane International Journal of Information Systems in the Service Sector (IJISSS …, 2019 | 23 | 2019 |
| Extraction of dispatching rules for single machine total weighted tardiness using a modified genetic algorithm and data mining MH Zahmani, B Atmani International Journal of Manufacturing Research 13 (1), 1-25, 2018 | 23 | 2018 |
| Multiple priority dispatching rules for the job shop scheduling problem MH Zahmani, B Atmani, A Bekrar, N Aissani 2015 3rd International Conference on Control, Engineering & Information …, 2015 | 23 | 2015 |
| Using a cellular automaton to extract medical information from clinical reports F Barigou, B Atmani, B Beldjilali Journal of Information Processing Systems 8 (1), 67-84, 2012 | 22 | 2012 |
| Multiple dispatching rules allocation in real time using data mining, genetic algorithms, and simulation M Habib Zahmani, B Atmani Journal of Scheduling 24 (2), 175-196, 2021 | 21 | 2021 |
| Integration of datamining techniques into the CBR cycle to predict the result of immunotherapy treatment F Saadi, B Atmani, F Henni 2019 International Conference on Computer and Information Sciences (ICCIS), 1-5, 2019 | 18 | 2019 |
| A data mining-based approach to predict strain situations in hospital emergency department systems S Benbelkacem, F Kadri, S Chaabane, B Atmani 10ème Conférence Francophone de Modélisation, Optimisation et Simulation …, 2014 | 18 | 2014 |
| WCSS: un système cellulaire d'extraction et de gestion des connaissances B Benamina, B Atmani Troisième atelier sur les systèmes décisionnels 10, 223-234, 2008 | 13 | 2008 |
| Deep learning approaches to intrusion detection: A new performance of ANN and RNN on NSL-KDD N Chaibi, B Atmani, M Mokaddem Proceedings of the 1st International Conference on Intelligent Systems and …, 2020 | 12 | 2020 |
| A data mining based dispatching rules selection system for the job shop scheduling problem MH Zahmani, B Atmani Journal of Advanced Manufacturing Systems 18 (01), 35-56, 2019 | 12 | 2019 |
| Contribution to the association rules visualization for decision support: a combined use between boolean modeling and the colored 2D matrix FZ Benhacine, B Atmani, FZ Abdelouhab IJIMAI 5 (5), 38-47, 2019 | 12 | 2019 |
| Assessment of clinical decision support systems for predicting coronary heart disease S Mokeddem, B Atmani International Journal of Operations Research and Information Systems (IJORIS …, 2016 | 12 | 2016 |
| An effective feature selection approach driven genetic algorithm wrapped Bayes naïve S Mokeddem, B Atmani, M Mokaddem International Journal of Data Analysis Techniques and Strategies 8 (3), 220-243, 2016 | 12 | 2016 |
| A hybrid decision support system: application on healthcare A Mansoul, B Atmani, S Benbelkacem arXiv preprint arXiv:1311.4086, 2013 | 11 | 2013 |
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