| 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 | 250 | 2019 |
| Mathematical aggregation operators and their application to video querying M Detyniecki, DB Bouchon-meunier, DR Yager, RH Prade Universite Curie, 2000 | 230 | 2000 |
| Ranking fuzzy numbers using α-weighted valuations M Detyniecki, RR Yager International Journal of uncertainty, Fuzziness and knowledge-Based systems …, 2000 | 176 | 2000 |
| Fundamentals on aggregation operators M Detyniecki This manuscript is based on Detyniecki’s doctoral thesis and can be …, 2001 | 146 | 2001 |
| 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 | 139 | 2018 |
| 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 | 124 | 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 | 119 | 2018 |
| A context-dependent method for ordering fuzzy numbers using probabilities RR Yager, M Detyniecki, B Bouchon-Meunier Information Sciences 138 (1-4), 237-255, 2001 | 111 | 2001 |
| Imperceptible adversarial attacks on tabular data V Ballet, X Renard, J Aigrain, T Laugel, P Frossard, M Detyniecki arXiv preprint arXiv:1911.03274, 2019 | 107 | 2019 |
| Multimodal stress detection from multiple assessments J Aigrain, M Spodenkiewicz, S Dubuisson, M Detyniecki, D Cohen, ... IEEE Transactions on Affective Computing 9 (4), 491-506, 2016 | 107 | 2016 |
| Mobile museum guide based on fast SIFT recognition B Ruf, E Kokiopoulou, M Detyniecki Adaptive Multimedia Retrieval. Identifying, Summarizing, and Recommending …, 2010 | 75 | 2010 |
| 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 | 68 | 2022 |
| Issues with post-hoc counterfactual explanations: a discussion T Laugel, MJ Lesot, C Marsala, M Detyniecki arXiv preprint arXiv:1906.04774, 2019 | 62 | 2019 |
| Random-shapelet: an algorithm for fast shapelet discovery X Renard, M Rifqi, W Erray, M Detyniecki 2015 IEEE international conference on data science and advanced analytics …, 2015 | 58 | 2015 |
| Person-specific behavioural features for automatic stress detection J Aigrain, S Dubuisson, M Detyniecki, M Chetouani 2015 11th IEEE international conference and workshops on automatic face and …, 2015 | 56 | 2015 |
| Fairness-Aware Neural R\'eyni Minimization for Continuous Features V Grari, B Ruf, S Lamprier, M Detyniecki arXiv preprint arXiv:1911.04929, 2019 | 55 | 2019 |
| A comparative study of diversity methods for hybrid text and image retrieval approaches S Tollari, P Mulhem, M Ferecatu, H Glotin, M Detyniecki, P Gallinari, ... Evaluating Systems for Multilingual and Multimodal Information Access: 9th …, 2009 | 44 | 2009 |
| Detecting adversarial examples and other misclassifications in neural networks by introspection J Aigrain, M Detyniecki arXiv preprint arXiv:1905.09186, 2019 | 41 | 2019 |
| Weather-based solar energy prediction M Detyniecki, C Marsala, A Krishnan, M Siegel 2012 IEEE International Conference on Fuzzy Systems, 1-7, 2012 | 38 | 2012 |
| Fair adversarial gradient tree boosting V Grari, B Ruf, S Lamprier, M Detyniecki 2019 IEEE International Conference on Data Mining (ICDM), 1060-1065, 2019 | 37 | 2019 |
Christophe MarsalaLIP6 - Sorbonne UniversitéVerified email at lip6.fr
