Marcin Detyniecki, Ph.D.
Marcin Detyniecki, Ph.D.
Head of R&D, @AXA + Associate researcher, @Sorbonne_Université, @CNRS, @Polish_Academy_of_Science
Verified email at - Homepage
Cited by
Cited by
Mathematical aggregation operators and their application to video querying
M Detyniecki, DB Bouchon-meunier, DR Yager, RH Prade
Ranking fuzzy numbers using α-weighted valuations
M Detyniecki, RR Yager
International Journal of uncertainty, Fuzziness and knowledge-Based systems …, 2000
Fundamentals on aggregation operators
M Detyniecki
This manuscript is based on Detyniecki’s doctoral thesis and can be …, 2001
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
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
Mobile museum guide based on fast SIFT recognition
B Ruf, E Kokiopoulou, M Detyniecki
International Workshop on Adaptive Multimedia Retrieval, 170-183, 2008
Defining locality for surrogates in post-hoc interpretablity
T Laugel, X Renard, MJ Lesot, C Marsala, M Detyniecki
arXiv preprint arXiv:1806.07498, 2018
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
Comparison-based inverse classification for interpretability in machine learning
T Laugel, MJ Lesot, C Marsala, X Renard, M Detyniecki
International Conference on Information Processing and Management of …, 2018
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
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
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, ...
Workshop of the Cross-Language Evaluation Forum for European Languages, 585-592, 2008
Imperceptible adversarial attacks on tabular data
V Ballet, X Renard, J Aigrain, T Laugel, P Frossard, M Detyniecki
arXiv preprint arXiv:1911.03274, 2019
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
Discrimination power of measures of resemblance
M Rifqi, M Detyniecki, B Bouchon-Meunier
IFSA’03, 2003
Weather-based solar energy prediction
M Detyniecki, C Marsala, A Krishnan, M Siegel
2012 IEEE International Conference on Fuzzy Systems, 1-7, 2012
Weighted self-organizing maps: Incorporating user feedback
A Nürnberger, M Detyniecki
Artificial Neural Networks and Neural Information Processing—ICANN/ICONIP …, 2003
Exploiting visual concepts to improve text-based image retrieval
S Tollari, M Detyniecki, C Marsala, A Fakeri-Tabrizi, MR Amini, P Gallinari
European Conference on Information Retrieval, 701-705, 2009
Real-world fuzzy logic applications in data mining and information retrieval
B Bouchon-Meunier, M Detyniecki, MJ Lesot, C Marsala, M Rifqi
Fuzzy Logic, 219-247, 2007
Detecting adversarial examples and other misclassifications in neural networks by introspection
J Aigrain, M Detyniecki
arXiv preprint arXiv:1905.09186, 2019
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