| The dangers of post-hoc interpretability: Unjustified counterfactual explanations T Laugel, MJ Lesot, C Marsala, X Renard, M Detyniecki arXiv preprint arXiv:1907.09294, 2019 | 230 | 2019 |
| Similarity measures for binary and numerical data: a survey MJ Lesot, M Rifqi, H Benhadda International Journal of Knowledge Engineering and Soft Data Paradigms 1 (1 …, 2009 | 212 | 2009 |
| Data analysis with fuzzy clustering methods C Döring, MJ Lesot, R Kruse Computational Statistics & Data Analysis 51 (1), 192-214, 2006 | 168 | 2006 |
| Comparison-based inverse classification for interpretability in machine learning T Laugel, MJ Lesot, C Marsala, X Renard, M Detyniecki Information Processing and Management of Uncertainty in Knowledge-Based …, 2018 | 133 | 2018 |
| Fundamentals of fuzzy clustering R Kruse, C Döring, MJ Lesot Advances in fuzzy clustering and its applications, 3-30, 2007 | 131 | 2007 |
| Inverse classification for comparison-based interpretability in machine learning T Laugel, MJ Lesot, C Marsala, X Renard, M Detyniecki arXiv preprint arXiv:1712.08443, 2017 | 116 | 2017 |
| Defining locality for surrogates in post-hoc interpretablity T Laugel, X Renard, MJ Lesot, C Marsala, M Detyniecki arXiv preprint arXiv:1806.07498, 2018 | 110 | 2018 |
| Graank: Exploiting rank correlations for extracting gradual itemsets A Laurent, MJ Lesot, M Rifqi Flexible Query Answering Systems: 8th International Conference, FQAS 2009 …, 2009 | 74 | 2009 |
| Dynamic flies: a new pattern recognition tool applied to stereo sequence processing J Louchet, M Guyon, MJ Lesot, A Boumaza Pattern recognition letters 23 (1-3), 335-345, 2002 | 74 | 2002 |
| ROHSA: Regularized Optimization for Hyper-Spectral Analysis-Application to phase separation of 21 cm data A Marchal, MA Miville-Deschênes, F Orieux, N Gac, C Soussen, MJ Lesot, ... Astronomy & Astrophysics 626, A101, 2019 | 61 | 2019 |
| Issues with post-hoc counterfactual explanations: a discussion T Laugel, MJ Lesot, C Marsala, M Detyniecki arXiv preprint arXiv:1906.04774, 2019 | 58 | 2019 |
| Fuzzy prototypes: From a cognitive view to a machine learning principle MJ Lesot, M Rifqi, B Bouchon-Meunier Fuzzy Sets and Their Extensions: Representation, Aggregation and Models, 431-452, 2008 | 58 | 2008 |
| Contextualization and exploration of local feature importance explanations to improve understanding and satisfaction of non-expert users C Bove, J Aigrain, MJ Lesot, C Tijus, M Detyniecki Proceedings of the 27th international conference on intelligent user …, 2022 | 55 | 2022 |
| Fuzzy prototypes based on typicality degrees MJ Lesot, L Mouillet, B Bouchon-Meunier Computational Intelligence, Theory and Applications: International …, 2005 | 54 | 2005 |
| Interpretability of fuzzy linguistic summaries MJ Lesot, G Moyse, B Bouchon-Meunier Fuzzy Sets and Systems 292, 307-317, 2016 | 49 | 2016 |
| Linguistic summaries of categorical time series for septic shock patient data RJ Almeida, MJ Lesot, B Bouchon-Meunier, U Kaymak, G Moyse 2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-8, 2013 | 38 | 2013 |
| Unjustified classification regions and counterfactual explanations in machine learning T Laugel, MJ Lesot, C Marsala, X Renard, M Detyniecki Machine Learning and Knowledge Discovery in Databases: European Conference …, 2020 | 32 | 2020 |
| Similarity, typicality and fuzzy prototypes for numerical data MJ Lesot 6th European Congress on Systems Science, Workshop Similarity and …, 2005 | 32 | 2005 |
| Linguistic summaries of locally periodic time series G Moyse, MJ Lesot Fuzzy Sets and Systems 285, 94-117, 2016 | 31 | 2016 |
| Linguistic summaries for periodicity detection based on mathematical morphology G Moyse, MJ Lesot, B Bouchon-Meunier 2013 IEEE Symposium on Foundations of Computational Intelligence (FOCI), 106-113, 2013 | 30 | 2013 |
