| Analogy-based classifiers for nominal or numerical data M Bounhas, H Prade, G Richard International Journal of Approximate Reasoning 91, 36-55, 2017 | 55 | 2017 |
| Naive possibilistic classifiers for imprecise or uncertain numerical data M Bounhas, MG Hamed, H Prade, M Serrurier, K Mellouli Fuzzy Sets and Systems 239, 137-156, 2014 | 48 | 2014 |
| Possibilistic classifiers for numerical data M Bounhas, K Mellouli, H Prade, M Serrurier Soft Computing 17, 733-751, 2013 | 45 | 2013 |
| Analogical classification: A new way to deal with examples. M Bounhas, H Prade, G Richard ECAI, 135-140, 2014 | 39 | 2014 |
| Automatic arabic text summarization using analogical proportions B Elayeb, A Chouigui, M Bounhas, OB Khiroun Cognitive Computation 12, 1043-1069, 2020 | 30 | 2020 |
| Analogical classification: Handling numerical data M Bounhas, H Prade, G Richard International Conference on Scalable Uncertainty Management, 66-79, 2014 | 20 | 2014 |
| Comparison of analogy-based methods for predicting preferences M Bounhas, M Pirlot, H Prade, O Sobrie Scalable Uncertainty Management: 13th International Conference, SUM 2019 …, 2019 | 16 | 2019 |
| From bayesian classifiers to possibilistic classifiers for numerical data M Bounhas, K Mellouli, H Prade, M Serrurier Scalable Uncertainty Management: 4th International Conference, SUM 2010 …, 2010 | 14 | 2010 |
| Oddness/evenness-based classifiers for Boolean or numerical data M Bounhas, H Prade, G Richard International Journal of Approximate Reasoning 82, 81-100, 2017 | 12 | 2017 |
| Analogical classification: A rule-based view M Bounhas, H Prade, G Richard International Conference on Information Processing and Management of …, 2014 | 12 | 2014 |
| Analogy-based Matching Model for Domain-specific Information Retrieval. M Bounhas, B Elayeb ICAART (2), 496-505, 2019 | 9 | 2019 |
| Predicting preferences by means of analogical proportions M Bounhas, M Pirlot, H Prade Case-Based Reasoning Research and Development: 26th International Conference …, 2018 | 9 | 2018 |
| An analogical interpolation method for enlarging a training dataset M Bounhas, H Prade Scalable Uncertainty Management: 13th International Conference, SUM 2019 …, 2019 | 8 | 2019 |
| Oddness‐based classification: A new way of exploiting neighbors M Bounhas, H Prade, G Richard International Journal of Intelligent Systems 33 (12), 2379-2401, 2018 | 8 | 2018 |
| Continuous analogical proportions-based classifier M Essid, M Bounhas, H Prade International Conference on Information Processing and Management of …, 2020 | 6 | 2020 |
| Not being at odds with a class: A new way of exploiting neighbors for classification M Bounhas, H Prade, G Richard Frontiers in Artificial Intelligence and Applications, 2016 | 6 | 2016 |
| Oddness-based classifiers for boolean or numerical data M Bounhas, H Prade, G Richard Joint German/Austrian Conference on Artificial Intelligence (Künstliche …, 2015 | 6 | 2015 |
| Analogy-based classifiers: An improved algorithm exploiting competent data pairs M Bounhas, H Prade International Journal of Approximate Reasoning 158, 108923, 2023 | 5 | 2023 |
| Evenness-based reasoning with logical proportions applied to classification M Bounhas, H Prade, G Richard Scalable Uncertainty Management: 9th International Conference, SUM 2015 …, 2015 | 5 | 2015 |
| A new view of conformity and its application to classification M Bounhas, H Prade, G Richard Symbolic and Quantitative Approaches to Reasoning with Uncertainty: 13th …, 2015 | 5 | 2015 |
