Marcin Detyniecki - Concepedia

Author

Marcin Detyniecki

Also Known As

Detyniecki, Marcin, Loubes, Jean-Michel, M Detyniecki, M. Detyniecki, MARCIN DETYNIECKI, Marcin Detyniecki, Marcin Detyniecki -, NÃ¼rnberger, Andreas

239

Publications

1.8K

Citations

H-Index

102

Concepts

All Affiliations

Sorbonne Université Centre National de la Recherche Scientifique AXA (France)Polish Academy of Sciences LIP6

About

Marcin Detyniecki is an author at Sorbonne Université specializing in engineering, data science, and computer science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	17	25	835
2	Arts	3	3	76
3	Health Sciences	2	2	40
4	Management	2	2	126
5	Social Sciences	2	2	131

Marcin Detyniecki

Publications

Citations

H-Index

Page 1

	Year	Citations
RANKING FUZZY NUMBERS USING α-WEIGHTED VALUATIONS Marcin Detyniecki, Ronald R. Yager International Journal of Uncertainty Fuzziness and Knowledge-Based Systems Fuzzy Multi-criteria Decision-makingFuzzy LogicEngineeringFuzzy ComputingData Mining	2000	139
Multimodal Stress Detection from Multiple Assessments Jonathan Aigrain, Michel Spodenkiewicz, Séverine Dubuisson, IEEE Transactions on Affective Computing Multimodal Stress DetectionEngineeringAffective NeuroscienceMultimodal Sentiment AnalysisPsychology	2016	90
A context-dependent method for ordering fuzzy numbers using probabilities Ronald R. Yager, Marcin Detyniecki, Bernadette Bouchon‐Meunier Information Sciences Fuzzy Multi-criteria Decision-makingFuzzy LogicEngineeringFuzzy ComputingData Mining	2001	80
Contextualization and Exploration of Local Feature Importance Explanations to Improve Understanding and Satisfaction of Non-Expert Users Clara Bove, Jonathan Aigrain, Marie‐Jeanne Lesot,	2022	65
Imperceptible Adversarial Attacks on Tabular Data Vincent Ballet, Xavier Xavier, Jonathan Aigrain, arXiv (Cornell University) Artificial IntelligenceEngineeringMachine LearningEvasion TechniqueInformation Security	2019	50
Inverse Classification for Comparison-based Interpretability in Machine Learning Thibault Laugel, Marie‐Jeanne Lesot, Christophe Marsala, arXiv (Cornell University) Artificial IntelligenceEngineeringMachine LearningSpheres AlgorithmClassification Method	2017	46
Defining Locality for Surrogates in Post-hoc Interpretablity Thibault Laugel, Xavier Renard, Marie‐Jeanne Lesot, arXiv (Cornell University) Artificial IntelligenceEngineeringMachine LearningSemanticsData Surrogate	2018	46
Person-specific behavioural features for automatic stress detection Jonathan Aigrain, Séverine Dubuisson, Marcin Detyniecki, EngineeringMachine LearningStress DetectionBiometricsAffective Neuroscience	2015	41
Random-shapelet: An algorithm for fast shapelet discovery Xavier Renard, Maria Rifqi, Walid Erray, EngineeringMachine LearningStatistical Shape AnalysisPattern DiscoveryShape Analysis	2015	37
The Dangers of Post-hoc Interpretability: Unjustified Counterfactual Explanations Thibault Laugel, Marie‐Jeanne Lesot, Christophe Marsala, Artificial IntelligenceEngineeringMachine LearningTrained Black-box ModelAi Safety	2019	32

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