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Frédéric Pichon
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2020 – today
- 2024
- [c34]Frédéric Pichon, Sébastien Ramel:
Algebraic Expression for the Relative Likelihood-Based Evidential Prediction of an Ordinal Variable. BELIEF 2024: 150-158 - [c33]Tuan-Anh Vu, Sohaib Afifi, Eric Lefèvre, Frédéric Pichon:
Optimization Under Severe Uncertainty: a Generalized Minimax Regret Approach for Problems with Linear Objectives. BELIEF 2024: 197-204 - [c32]Frédéric Pichon, Serigne Mansour Diene, Thierry Denoeux, Sébastien Ramel, David Mercier:
r-ERBFN: An Extension of the Evidential RBFN Accounting for the Dependence Between Positive and Negative Evidence. SUM 2024: 354-368 - 2023
- [j15]Zhunga Liu, Frédéric Pichon, Xiaodong Yue:
Special issue from the 6th International Conference on Belief Functions (BELIEF 2021). Int. J. Approx. Reason. 152: 282-283 (2023) - [j14]Tuan-Anh Vu, Sohaib Afifi, Eric Lefèvre, Frédéric Pichon:
Optimization problems with evidential linear objective. Int. J. Approx. Reason. 161: 108987 (2023) - [c31]Tuan-Anh Vu, Sohaib Afifi, Eric Lefèvre, Frédéric Pichon:
0-1 Combinatorial Optimization Problems with Qualitative and Uncertain Profits. IUKM (1) 2023: 139-151 - 2022
- [c30]Siti Mutmainah, Samir Hachour, Frédéric Pichon, David Mercier:
On Improving a Group of Evidential Sources with Different Contextual Corrections. BELIEF 2022: 109-118 - [c29]Tuan-Anh Vu, Sohaib Afifi, Eric Lefèvre, Frédéric Pichon:
On Modelling and Solving the Shortest Path Problem with Evidential Weights. BELIEF 2022: 139-149 - [c28]Siti Mutmainah, Samir Hachour, Frédéric Pichon, David Mercier:
Améliorer un groupe de sources crédibilistes avec des corrections contextuelles. LFA 2022 - [c27]Tuan-Anh Vu, Sohaib Afifi, Eric Lefèvre, Frédéric Pichon:
Problème du plus court chemin avec poids évidentiels : modélisation et résolution. LFA 2022 - 2021
- [c26]Nadia Ben Abdallah, Sébastien Destercke, Anne-Laure Jousselme, Frédéric Pichon:
Logical and Evidential Inconsistencies Meet: First Steps. BELIEF 2021: 207-214 - [c25]Anne-Laure Jousselme, Frédéric Pichon, Nadia Ben Abdallah, Sébastien Destercke:
A Note About Entropy and Inconsistency in Evidence Theory. BELIEF 2021: 215-223 - [c24]Tekwa Tedjini, Sohaib Afifi, Frédéric Pichon, Eric Lefèvre:
An Extension of Specificity-Based Approximations to Other Belief Function Relations. BELIEF 2021: 224-233 - [c23]Siti Mutmainah, Samir Hachour, Frédéric Pichon, David Mercier:
Improving an Evidential Source of Information Using Contextual Corrections Depending on Partial Decisions. BELIEF 2021: 247-256 - [c22]Tekwa Tedjini, Sohaib Afifi, Frédéric Pichon, Eric Lefèvre:
The Vehicle Routing Problem with Time Windows and Evidential Service and Travel Times: A Recourse Model. ECSQARU 2021: 381-395 - [c21]Yu-Lin Huang, Gildas Morvan, Frédéric Pichon, David Mercier:
SPSC: An Efficient, General-Purpose Execution Policy for Stochastic Simulations. WSC 2021: 1-12 - [e1]Thierry Denoeux, Eric Lefèvre, Zhunga Liu, Frédéric Pichon:
Belief Functions: Theory and Applications - 6th International Conference, BELIEF 2021, Shanghai, China, October 15-19, 2021, Proceedings. Lecture Notes in Computer Science 12915, Springer 2021, ISBN 978-3-030-88600-4 [contents] - 2020
- [j13]Sébastien Destercke, David Mercier, Frédéric Pichon:
Special issue from the 5th International Conference on Belief Functions (BELIEF 2018). Int. J. Approx. Reason. 117: 50-51 (2020) - [j12]Sébastien Ramel, Frédéric Pichon, François Delmotte:
A reliable version of choquistic regression based on evidence theory. Knowl. Based Syst. 205: 106252 (2020)
2010 – 2019
- 2019
- [j11]Frédéric Pichon, Anne-Laure Jousselme, Nadia Ben Abdallah:
Several shades of conflict. Fuzzy Sets Syst. 366: 63-84 (2019) - [j10]Sébastien Destercke, Frédéric Pichon, John Klein:
From set relations to belief function relations. Int. J. Approx. Reason. 110: 46-63 (2019) - [j9]Pauline Minary, Frédéric Pichon, David Mercier, Eric Lefevre, Benjamin Droit:
Evidential joint calibration of binary SVM classifiers. Soft Comput. 23(13): 4655-4671 (2019) - [c20]Yu-Lin Huang, Gildas Morvan, Frédéric Pichon, David Mercier:
SPSC: A New Execution Policy for Exploring Discrete-Time Stochastic Simulations. PRIMA 2019: 568-575 - [c19]Siti Mutmainah, Samir Hachour, Frédéric Pichon, David Mercier:
On Learning Evidential Contextual Corrections from Soft Labels Using a Measure of Discrepancy Between Contour Functions. SUM 2019: 382-389 - [p1]Frédéric Pichon, Didier Dubois, Thierry Denoeux:
Quality of Information Sources in Information Fusion. Information Quality in Information Fusion and Decision Making 2019: 31-49 - [i1]Yu-Lin Huang, Gildas Morvan, Frédéric Pichon, David Mercier:
SPSC: a new execution policy for exploring discrete-time stochastic simulations. CoRR abs/1909.09390 (2019) - 2018
- [b2]Frédéric Pichon:
Qualité des sources en fusion d'informations dans le cadre de la théorie des fonctions de croyance. Artois University, Arras, France, 2018 - [j8]Nathalie Helal, Frédéric Pichon, Daniel Porumbel, David Mercier, Eric Lefèvre:
The capacitated vehicle routing problem with evidential demands. Int. J. Approx. Reason. 95: 124-151 (2018) - [j7]Frédéric Pichon:
Canonical decomposition of belief functions based on Teugels' representation of the multivariate Bernoulli distribution. Inf. Sci. 428: 76-104 (2018) - [c18]Sébastien Destercke, Frédéric Pichon, John Klein:
From Relations Between Sets to Relations Between Belief Functions. BELIEF 2018: 65-72 - [c17]Nadia Ben Abdallah, Anne-Laure Jousselme, Frédéric Pichon:
An Ordered Family of Consistency Measures of Belief Functions. BELIEF 2018: 199-207 - [c16]Sébastien Ramel, Frédéric Pichon, François Delmotte:
Active Evidential Calibration of Binary SVM Classifiers. BELIEF 2018: 208-216 - [c15]Yu-Lin Huang, Gildas Morvan, Frédéric Pichon, David Mercier:
Détection d'événements rares dans les simulations multi-agents (démonstration). JFSMA 2018: 227-228 - 2017
- [j6]Pauline Minary, Frédéric Pichon, David Mercier, Eric Lefevre, Benjamin Droit:
Face pixel detection using evidential calibration and fusion. Int. J. Approx. Reason. 91: 202-215 (2017) - [c14]Nathalie Helal, Frédéric Pichon, Daniel Porumbel, David Mercier, Eric Lefèvre:
A Recourse Approach for the Capacitated Vehicle Routing Problem with Evidential Demands. ECSQARU 2017: 190-200 - [c13]Pauline Minary, Frédéric Pichon, David Mercier, Eric Lefevre, Benjamin Droit:
Evidential Joint Calibration of Binary SVM Classifiers Using Logistic Regression. SUM 2017: 405-411 - 2016
- [j5]David Mercier, Frédéric Pichon, Eric Lefèvre:
Corrigendum to "Belief functions contextual discounting and canonical decompositions" [International Journal of Approximate Reasoning 53 (2012) 146-158]. Int. J. Approx. Reason. 70: 137-139 (2016) - [j4]Frédéric Pichon, David Mercier, Eric Lefèvre, François Delmotte:
Proposition and learning of some belief function contextual correction mechanisms. Int. J. Approx. Reason. 72: 4-42 (2016) - [c12]Nathalie Helal, Frédéric Pichon, Daniel Porumbel, David Mercier, Eric Lefèvre:
The Capacitated Vehicle Routing Problem with Evidential Demands: A Belief-Constrained Programming Approach. BELIEF 2016: 212-221 - [c11]Pauline Minary, Frédéric Pichon, David Mercier, Eric Lefèvre, Benjamin Droit:
An Evidential Pixel-Based Face Blurring Approach. BELIEF 2016: 222-230 - 2015
- [j3]Frédéric Pichon, Sébastien Destercke, Thomas Burger:
A Consistency-Specificity Trade-Off to Select Source Behavior in Information Fusion. IEEE Trans. Cybern. 45(4): 598-609 (2015) - [c10]David Mercier, Frédéric Pichon, Eric Lefevre, François Delmotte:
Learning Contextual Discounting and Contextual Reinforcement from Labelled Data. ECSQARU 2015: 472-481 - 2014
- [c9]Frédéric Pichon, David Mercier, François Delmotte, Eric Lefevre:
Truthfulness in Contextual Information Correction. Belief Functions 2014: 11-20 - [c8]François Delmotte, David Mercier, Frédéric Pichon:
A First Inquiry into Simpson's Paradox with Belief Functions. IPMU (3) 2014: 190-199 - 2013
- [c7]Frédéric Pichon, Sébastien Destercke, Thomas Burger:
Selecting Source Behavior in Information Fusion on the Basis of Consistency and Specificity. ECSQARU 2013: 473-484 - [c6]Bertrand Duqueroie, Christophe Labreuche, Frédéric Pichon, Nicolas Museux:
Probability update for risk assessment of dreaded events in asymmetric warfare. FUSION 2013: 334-341 - [c5]Simon Fossier, Claire Laudy, Frédéric Pichon:
Managing uncertainty in conceptual graph-based soft information fusion. FUSION 2013: 930-937 - 2012
- [j2]Frédéric Pichon, Didier Dubois, Thierry Denoeux:
Relevance and truthfulness in information correction and fusion. Int. J. Approx. Reason. 53(2): 159-175 (2012) - [c4]Frédéric Pichon:
On the α-Conjunctions for Combining Belief Functions. Belief Functions 2012: 285-292 - 2011
- [c3]Marie-Jeanne Lesot, Thomas Delavallade, Frédéric Pichon, Herman Akdag, Bernadette Bouchon-Meunier, Philippe Capet:
Proposition of a semi-automatic possibilistic information scoring process. EUSFLAT Conf. 2011: 949-956 - 2010
- [j1]Frédéric Pichon, Thierry Denoeux:
The Unnormalized Dempster's Rule of Combination: A New Justification from the Least Commitment Principle and Some Extensions. J. Autom. Reason. 45(1): 61-87 (2010)
2000 – 2009
- 2009
- [b1]Frédéric Pichon:
Fonctions de croyance : décompositions canoniques et règles de combinaison. (Belief functions: canonical decompositions and combination rules). University of Technology of Compiègne, France, 2009 - 2008
- [c2]Frédéric Pichon, Thierry Denoeux:
A New Justification of the Unnormalized Dempster's Rule of Combination from the Least Commitment Principle. FLAIRS 2008: 666-671 - 2007
- [c1]Frédéric Pichon, Thierry Denoeux:
On Latent Belief Structures. ECSQARU 2007: 368-380
Coauthor Index
aka: Eric Lefèvre
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