Christophe Marsala

Generating author description...

All published works

Action	Title	Year	Authors
+ PDF Chat	A Robust Autoencoder Ensemble-Based Approach for Anomaly Detection in Text	2024	Jérémie Pantin Christophe Marsala
+	Achieving Diversity in Counterfactual Explanations: a Review and Discussion	2023	Thibault Laugel Adulam Jeyasothy Marie‐Jeanne Lesot Christophe Marsala Marcin Detyniecki
+	Norms and Discrete Choquet Integrals Induced by Submodular Fuzzy Measures: A Discussion	2023	Agnès Rico Marie‐Jeanne Lesot Christophe Marsala
+	Dynamic Interpretability for Model Comparison via Decision Rules	2023	Adam Rida Marie‐Jeanne Lesot Xavier Renard Christophe Marsala
+	Integrating Prior Knowledge in Post-hoc Explanations	2022	Adulam Jeyasothy Thibault Laugel Marie‐Jeanne Lesot Christophe Marsala Marcin Detyniecki
+	Integrating Prior Knowledge in Post-hoc Explanations	2022	Adulam Jeyasothy Thibault Laugel Marie‐Jeanne Lesot Christophe Marsala Marcin Detyniecki
+ PDF Chat	Interpretable Monotonicities for Entropies of Intuitionistic Fuzzy Sets or Interval-valued Fuzzy Sets	2021	Christophe Marsala Bernadette Bouchon‐Meunier
+ PDF Chat	Polar Representation of Bipolar Information: A Case Study to Compare Intuitionistic Entropies	2020	Christophe Marsala Bernadette Bouchon‐Meunier
+	The Dangers of Post-hoc Interpretability: Unjustified Counterfactual Explanations	2019	Thibault Laugel Marie‐Jeanne Lesot Christophe Marsala Xavier Renard Marcin Detyniecki
+ PDF Chat	Detecting Potential Local Adversarial Examples for Human-Interpretable Defense	2019	Xavier Renard Thibault Laugel Marie‐Jeanne Lesot Christophe Marsala Marcin Detyniecki
+	Issues with post-hoc counterfactual explanations: a discussion	2019	Thibault Laugel Marie‐Jeanne Lesot Christophe Marsala Marcin Detyniecki
+	The Dangers of Post-hoc Interpretability: Unjustified Counterfactual Explanations	2019	Thibault Laugel Marie‐Jeanne Lesot Christophe Marsala Xavier Renard Marcin Detyniecki
+ PDF Chat	Detecting Potential Local Adversarial Examples for Human-Interpretable Defense	2018	Xavier Renard Thibault Laugel Marie‐Jeanne Lesot Christophe Marsala Marcin Detyniecki
+	Defining Locality for Surrogates in Post-hoc Interpretablity	2018	Thibault Laugel Xavier Renard Marie‐Jeanne Lesot Christophe Marsala Marcin Detyniecki
+	Fuzzy decision tree and fuzzy gradual decision tree: Application to job satisfaction	2017	Christophe Marsala Maria Rifqi
+	Inverse Classification for Comparison-based Interpretability in Machine Learning	2017	Thibault Laugel Marie‐Jeanne Lesot Christophe Marsala Xavier Renard Marcin Detyniecki
+ PDF Chat	Fuzzy data mining and management of interpretable and subjective information	2015	Christophe Marsala Bernadette Bouchon‐Meunier
+	Monotone Classification with Decision Trees	2013	Christophe Marsala Davide Petturiti
+	Hierarchical Model for Rank Discrimination Measures	2013	Christophe Marsala Davide Petturiti
+ PDF Chat	Double-linear fuzzy interpolation method	2011	Marcin Detyniecki Christophe Marsala Maria Rifqi
+	Measures of information for inductive learning	2004	Thanh Ha Dang Bernadette Bouchon‐Meunier Christophe Marsala
+	Interpolative model for fuzzy arithmetic	2002	Arthur Ramer B. Bouchon-Meunier Maria do Carmo Nicoletti Christophe Marsala M. Rifqi
+	Conditional Possibility and Necessity	2002	Bernadette Bouchon‐Meunier Giulianella Coletti Christophe Marsala

Common Coauthors

Coauthor	Papers Together
Marie‐Jeanne Lesot	12
Marcin Detyniecki	11
Thibault Laugel	10
Xavier Renard	7
Bernadette Bouchon‐Meunier	5
Adulam Jeyasothy	3
Davide Petturiti	2
Maria Rifqi	2
M. Rifqi	1
Giulianella Coletti	1
Adam Rida	1
Arthur Ramer	1
B. Bouchon-Meunier	1
Agnès Rico	1
Maria do Carmo Nicoletti	1
Jérémie Pantin	1
Thanh Ha Dang	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	A Unified Approach to Interpreting Model Predictions	2017	Scott Lundberg Su‐In Lee	4
+ PDF Chat	A Survey of Methods for Explaining Black Box Models	2018	Riccardo Guidotti Anna Monreale Salvatore Ruggieri Franco Turini Fosca Giannotti Dino Pedreschi	4
+ PDF Chat	Generalized Inverse Classification	2017	Michael T. Lash Qihang Lin W. Nick Street Jennifer G. Robinson Jeffrey W. Ohlmann	3
+	Please Stop Explaining Black Box Models for High Stakes Decisions.	2018	Cynthia Rudin	2
+	“Why Should I Trust You?”: Explaining the Predictions of Any Classifier	2016	Marco Ribeiro Sameer Singh Carlos Guestrin	2
+	Defining Locality for Surrogates in Post-hoc Interpretablity	2018	Thibault Laugel Xavier Renard Marie‐Jeanne Lesot Christophe Marsala Marcin Detyniecki	2
+	On the entropy for Atanassov's intuitionistic fuzzy sets: An interpretation from the perspective of amount of knowledge	2014	Kaihong Guo Song Qi	2
+ PDF Chat	Entropy measures for Atanassov intuitionistic fuzzy sets based on divergence	2018	Ignacio Montes Nikhil R. Pal Susana Montes	2
+ PDF Chat	FACE	2020	Rafael Poyiadzi Kacper Sokol Raúl Santos‐Rodríguez Tijl De Bie Peter Flach	2
+	Making Tree Ensembles Interpretable	2016	Satoshi Hara Kohei Hayashi	2
+ PDF Chat	Counterfactual Explanations Without Opening the Black Box: Automated Decisions and the GDPR	2017	Sandra Wachter Brent Mittelstadt Chris Russell	2
+ PDF Chat	Interpretable Counterfactual Explanations Guided by Prototypes	2021	Arnaud Van Looveren Janis Klaise	2
+	How to Explain Individual Classification Decisions	2009	David Baehrens Timon Schroeter Stefan Harmeling Motoaki Kawanabe Katja Hansen Klaus‐Robert Müller	2
+	Entropy on intuitionistic fuzzy sets and on interval-valued fuzzy sets	1996	P. Burillo Humberto Bustince	2
+ PDF Chat	Efficient Search for Diverse Coherent Explanations	2019	Chris Russell	2
+	On conditional possibility distributions	1978	Hung T. Nguyen	1
+	Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps	2013	Karen Simonyan Andrea Vedaldi Andrew Zisserman	1
+	On decompositional algorithms for uniform sampling from <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si10.gif" display="inline" overflow="scroll"><mml:mi>n</mml:mi></mml:math>-spheres and <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si11.gif" display="inline" overflow="scroll"><mml:mi>n</mml:mi></mml:math>-balls	2010	Radoslav Harman Vladimı́r Lacko	1
+ PDF Chat	Nonadditive conditional entropy and its significance for local realism	2001	Sumiyoshi Abe A. K. Rajagopal	1
+	Probability measures of Fuzzy events	1968	Lotfi A. Zadeh	1
+ PDF Chat	Fuzzy sets in machine learning and data mining	2008	Eyke Hüllermeier	1
+ PDF Chat	Finitely Additive Conditional Probabilities, Conglomerability and Disintegrations	1975	Lester E. Dubins	1
+	Distances defined by Choquet integral	2007	Yasuo Narukawa	1
+	On the Optimization of T-norm parameters within Fuzzy Decision Trees	2007	Keeley Crockett Zuhair Bandar David McLean	1
+	On confirmation and rational betting	1955	Robert S. Lehman	1
+	Discrete Choquet Integral as a Distance Metric	2008	J. Bolton Paul Gader Joseph N. Wilson	1
+ PDF Chat	Mitigating Evasion Attacks to Deep Neural Networks via Region-based Classification	2017	Xiaoyu Cao Neil Zhenqiang Gong	1
+ PDF Chat	The Limitations of Deep Learning in Adversarial Settings	2016	Nicolas Papernot Patrick McDaniel Somesh Jha Matt Fredrikson Z. Berkay Celik Ananthram Swami	1
+	The Bayesian Case Model: A Generative Approach for Case-Based Reasoning and Prototype Classification	2015	Been Kim Cynthia Rudin Julie Shah	1
+	Using Visual Analytics to Interpret Predictive Machine Learning Models	2016	Josua Krause Adam Perer Enrico Bertini	1
+	Choquistic Regression: Generalizing Logistic Regression using the Choquet Integral	2011	Ali Fallah Tehrani Weiwei Cheng Eyke Hüllermeier	1
+	A theory of fuzzy measures: Representations, the Choquet integral, and null sets	1991	Toshiaki Murofushi Michio Sugeno	1
+	Characterization of weighted maximum and some related operations	1995	János Fodor Marc Roubens	1
+	Interpolation of fuzzy data: Analytical approach and overview	2010	Irina Perfilieva Didier Dubois Henri Prade Francesc Esteva Lluı́s Godo Petra Hoďáková	1
+	A Unified Approach to Interpreting Model Predictions	2017	Scott Lundberg Su‐In Lee	1
+	Dimensionality Reduction as a Defense against Evasion Attacks on Machine Learning Classifiers.	2017	Arjun Nitin Bhagoji Daniel Cullina Prateek Mittal	1
+	Interpolative reasoning with insufficient evidence in sparse fuzzy rule bases	1993	LászlóT. Kóczy Kaoru Hirota	1
+ PDF Chat	Practical Black-Box Attacks against Machine Learning	2017	Nicolas Papernot Patrick McDaniel Ian Goodfellow Somesh Jha Z. Berkay Celik Ananthram Swami	1
+	SmoothGrad: removing noise by adding noise	2017	Daniel Smilkov Nikhil Thorat Been Kim Fernanda Viégas Martin Wattenberg	1
+	Learning Cost-Effective and Interpretable Treatment Regimes	2017	Himabindu Lakkaraju Cynthia Rudin	1
+	Enhancing Robustness of Machine Learning Systems via Data Transformations	2017	Arjun Nitin Bhagoji Daniel Cullina Chawin Sitawarin Prateek Mittal	1
+	On the Use of Divergences for Defining Entropies for Atanassov Intuitionistic Fuzzy Sets	2017	Ignacio Montes Susana Montes Nikhil R. Pal	1
+	Towards A Rigorous Science of Interpretable Machine Learning	2017	Finale Doshi‐Velez Been Kim	1
+	Accountability of AI Under the Law: The Role of Explanation	2017	Finale Doshi‐Velez Mason A. Kortz	1
+	A Survey Of Methods For Explaining Black Box Models	2018	Riccardo Guidotti Anna Monreale Franco Turini Dino Pedreschi Fosca Giannotti	1
+	Local Rule-Based Explanations of Black Box Decision Systems.	2018	Riccardo Guidotti Anna Monreale Salvatore Ruggieri Dino Pedreschi Franco Turini Fosca Giannotti	1
+	To Trust Or Not To Trust A Classifier	2018	Heinrich Jiang Been Kim Melody Y. Guan Maya R. Gupta	1
+	Using Real Life Examples to Teach Abstract Statistical Concepts	2011	Nyaradzo Mvududu Gibbs Y. Kanyongo	1
+	Independence concepts in possibility theory: Part I	1999	Luis M. de Campos Juan F. Huete	1
+	Complex intuitionistic fuzzy classes	2016	Mumtaz Ali Dan E. Tamir Naphtali Rishe Abraham Kandel	1