F. Pichon, S. Diène, T. Denœux, S. Ramel, D. Mercier.
r-ERBFN: an Extension of the Evidential RBFN Accounting for the Dependence Between Positive and Negative Evidence.
In S. Destercke, M. Vanina Martinez and G. Sanfilippo, editors, Scalable Uncertainty Management, Proc of the 16th International Conference, SUM 2024, Palermo, Italy, November 27–29, 2024, volume 15350 of Lecture Notes in Artifical Intelligence, pages 354-368, Springer, 2024.
T.-A. Vu, S. Afifi, É. Lefèvre, F. Pichon.
Une approche généralisée du regret minimax pour des problèmes d’optimisation sous incertitude sévère avec objectifs linéaires.
In Rencontres Francophones sur la Logique Floue et ses Applications, LFA 2024, Brest, France, November 7-8, 2024, pages 47-53, Cépaduès, 2024. Best student paper award (tied for 1st place).
F. Pichon, S. Ramel.
Formule algébrique pour la prédiction d’une variable ordinale d’après la méthode crédibiliste basée sur la vraisemblance relative.
In Rencontres Francophones sur la Logique Floue et ses Applications, LFA 2024, Brest, France, November 7-8, 2024, pages 73-79, Cépaduès, 2024.
A. Akli, A.-L. Jousselme, E. Quillerou, F. Pichon.
Un modèle évidentiel pour l’analyse des hypothèses concurrentes.
In Rencontres Francophones sur la Logique Floue et ses Applications, LFA 2024, Brest, France, November 7-8, 2024, pages 107-111, Cépaduès, 2024.
S. M. Diène, S. Ramel, F. Pichon, D. Mercier.
Utilisation de corrections dans des réseaux de neurones profonds crédibilistes à couches denses dans une approche de fusion multivue.
In Rencontres Francophones sur la Logique Floue et ses Applications, LFA 2024, Brest, France, November 7-8, 2024, pages 195-199, Cépaduès, 2024.
T.-A. Vu, S. Afifi, É. Lefèvre, F. Pichon.
Optimization Under Severe Uncertainty: a Generalized Minimax Regret Approach for Problems with Linear Objectives.
In Y. Bi, A.-L. Jousselme, and T. Denœux, editors, Belief Functions: Theory and Applications, Proc. of the 8th International Conference, BELIEF 2024, Belfast, UK, September 2-4, 2024, volume 14909 of Lecture Notes in Computer Science, pages 197–204, Springer, 2024. Tied for the runner-up of the IJAR Early Career Research Prize.
F. Pichon, S. Ramel.
Algebraic Expression for the Relative Likelihood-Based Evidential Prediction of an Ordinal Variable.
In Y. Bi, A.-L. Jousselme, and T. Denœux, editors, Belief Functions: Theory and Applications, Proc. of the 8th International Conference, BELIEF 2024, Belfast, UK, September 2-4, 2024, volume 14909 of Lecture Notes in Computer Science, pages 150–158, Springer, 2024.
T.-A. Vu, S. Afifi, E. Lefèvre, F. Pichon.
Problèmes d’optimisation avec un objectif linéaire évidentiel.
In 25ème congrès de la Société Française de Recherche Opérationnelle et d'Aide à la Décision (ROADEF), Amiens, France, March 4-7, 2024.
S. Ramel, F. Pichon, F. Delmotte.
Approximation extérieure de la prédiction crédibiliste basée sur la vraisemblance d'une variable ordinale.
In Rencontres Francophones sur la Logique Floue et ses Applications, LFA 2023, Bourges, France, November 9-10, 2023, pages 189-196, Cépaduès, 2023.
T.-A. Vu, S. Afifi, E. Lefèvre, F. Pichon.
Modélisation et résolution de problèmes d’optimisation avec un objectif linéaire évidentiel.
In Rencontres Francophones sur la Logique Floue et ses Applications, LFA 2023, Bourges, France, November 9-10, 2023, pages 181-188, Cépaduès, 2023.
T.-A. Vu, S. Afifi, E. Lefèvre, F. Pichon.
0-1 Combinatorial optimization problems with qualitative and uncertain profits.
In V.-N. Huynh, B. Le, K. Honda, M. Inuiguchi, and Y. Kohda, editors, Proc. of Integrated Uncertainty in Knowledge Modelling and Decision Making - 10th International Symposium, IUKM 2023, Kanazawa, Japan, November 2-4, 2023, volume 14375 of Lecture Notes in Computer Science, pages 139-151, Springer, 2023.
T.-A. Vu, S. Afifi, E. Lefèvre, F. Pichon.
Problème du plus court chemin avec poids évidentiels.
In 24ème congrès de la Société Française de Recherche Opérationnelle et d'Aide à la Décision (ROADEF), Rennes, France, February 20-23, 2023.
T.-A. Vu, S. Afifi, E. Lefèvre, F. Pichon.
On Modelling and Solving the Shortest Path Problem with Evidential Weights.
In S. Le Hégarat-Mascle, I. Bloch, and E. Aldea, editors, Belief Functions: Theory and Applications, Proc. of the 7th International Conference, BELIEF 2022, Paris, France, October 26-28, 2022, volume 13506 of Lecture Notes in Computer Science, pages 139–149, Springer, 2022. IJAR Early Career Researcher Award (1st place).
S. Mutmainah, S. Hachour, F. Pichon, D. Mercier.
On Improving a Group of Evidential Sources with Different Contextual Corrections.
In S. Le Hégarat-Mascle, I. Bloch, and E. Aldea, editors, Belief Functions: Theory and Applications, Proc. of the 7th International Conference, BELIEF 2022, Paris, France, October 26-28, 2022, volume 13506 of Lecture Notes in Computer Science, pages 109–118, Springer, 2022.
T.-A. Vu, S. Afifi, E. Lefèvre, F. Pichon.
Problème du plus court chemin avec poids évidentiels : Modélisation et résolution.
In Rencontres Francophones sur la Logique Floue et ses Applications, LFA 2022, Toulouse, France, October 20-21, 2022, pages 223-230, Cépaduès, 2022.
S. Mutmainah, S. Hachour, F. Pichon, D. Mercier.
Améliorer un groupe de sources crédibilistes avec des corrections contextuelles.
In Rencontres Francophones sur la Logique Floue et ses Applications, LFA 2022, Toulouse, France, October 20-21, 2022, pages 239-246, Cépaduès, 2022.
Y.-L. Huang, G. Morvan, F. Pichon, D. Mercier.
SPSC: an efficient, general-purpose execution policy for stochastic simulations.
In S. Kim, B. Feng, K. Smith, S. Masoud, Z. Zheng, C. Szabo, M. Loper, editors, Proceedings of the 2021 Winter Simulation Conference, WSC 2021, Phoenix, USA, December 13-16, 2021.
T. Tedjini, S. Afifi, F. Pichon, E. Lefèvre.
Un modèle de programmation par recours pour le VRPTW avec temps de service et de trajet évidentiels.
In Rencontres Francophones sur la Logique Floue et ses Applications, LFA 2021, Paris, France, October 21-22, 2021, pages 225-232, Cépaduès, 2021.
S. Mutmainah, S. Hachour, F. Pichon, D. Mercier.
Corrections contextuelles crédibilistes en fonction de décisions partielles.
In Rencontres Francophones sur la Logique Floue et ses Applications, LFA 2021, Paris, France, October 21-22, 2021, pages 217-224, Cépaduès, 2021.
N. Ben Abdallah, S. Destercke, A.-L. Jousselme, F. Pichon.
Logical and evidential inconsistencies meet: first steps.
In T. Denœux, E. Lefèvre, Z. Liu, and F. Pichon, editors, Belief Functions: Theory and Applications, Proc. of the 6th International Conference, BELIEF 2021, Shanghai, China, October 15-19, 2021, volume 12915 of Lecture Notes in Computer Science, pages 207-214, Springer, 2021.
T. Tedjini, S. Afifi, F. Pichon, E. Lefèvre.
An extension of specificity-based approximations to other belief function relations.
In T. Denœux, E. Lefèvre, Z. Liu, and F. Pichon, editors, Belief Functions: Theory and Applications, Proc. of the 6th International Conference, BELIEF 2021, Shanghai, China, October 15-19, 2021, volume 12915 of Lecture Notes in Computer Science, pages 224-233, Springer, 2021.
A.-L. Jousselme, F. Pichon, N. Ben Abdallah, S. Destercke.
A note about entropy and inconsistency in evidence theory.
In T. Denœux, E. Lefèvre, Z. Liu, and F. Pichon, editors, Belief Functions: Theory and Applications, Proc. of the 6th International Conference, BELIEF 2021, Shanghai, China, October 15-19, 2021, volume 12915 of Lecture Notes in Computer Science, pages 215-223, Springer, 2021.
S. Mutmainah, S. Hachour, F. Pichon, D. Mercier.
Improving an evidential source of information using contextual corrections depending on partial decisions.
In T. Denœux, E. Lefèvre, Z. Liu, and F. Pichon, editors, Belief Functions: Theory and Applications, Proc. of the 6th International Conference, BELIEF 2021, Shanghai, China, October 15-19, 2021, volume 12915 of Lecture Notes in Computer Science, pages 247-256, Springer, 2021.
T. Tedjini, S. Afifi, F. Pichon, E. Lefèvre.
The vehicle routing problem with time windows and evidential service and travel times: A recourse model.
In J. Vejnarová and N. Wilson, editors, Symbolic and Quantitative Approaches to Reasoning with Uncertainty, Proc of the 16th European Conference, ECSQARU 2021, Prague, Czech Republic, September 21-24, 2021, volume 12897 of Lecture Notes in Computer Science, pages 381-395, Springer, 2021.
T. Tedjini, S. Afifi, F. Pichon, E. Lefèvre.
Vers une généralisation de l'approximation des fonctions de croyance.
In Rencontres Francophones sur la Logique Floue et ses Applications, LFA 2020, Sète, France, October 15-16, 2020, pages 199-206, Cépaduès, 2020.
T. Tedjini, S. Afifi, F. Pichon, E. Lefèvre.
Un modèle à base de contraintes en fonction de croyance pour le problème de tournées de véhicules avec fenêtres de temps.
In 21ème congrès de la Société Française de Recherche Opérationnelle et d'Aide à la Décision (ROADEF), Montpellier, France, february 19-21, 2020.
S. Mutmainah, S. Hachour, F. Pichon, D. Mercier.
On learning evidential contextual corrections from soft labels using a measure of discrepancy between contour functions.
In N. Ben Amor, B. Quost, and M. Theobald, editors, Scalable Uncertainty Management, Proc of the 13th International Conference, SUM 2019, Compiègne, France, December 16-18, 2019, volume 22940 of Lecture Notes in Artifical Intelligence, pages 382-389, Springer, 2019.
S. Mutmainah, F. Pichon, D. Mercier.
Apprentissage de corrections contextuelles crédibilistes à partir de données partiellement étiquetées en utilisant la fonction de contour.
In Rencontres Francophones sur la Logique Floue et ses Applications, LFA 2019, Alès, France, November 14-15, 2019, pages 157-164, Cépaduès, 2019.
T. Tedjini, S. Afifi, F. Pichon, E. Lefèvre.
Un modèle Belief-Constrained Programming pour le VRPTW avec temps de service et de trajet crédibilistes.
In Rencontres Francophones sur la Logique Floue et ses Applications, LFA 2019, Alès, France, November 14-15, 2019, pages 217-224, Cépaduès, 2019.
Y.-L. Huang, G. Morvan, F. Pichon, D. Mercier.
SPSC: A new execution policy for exploring discrete-time stochastic simulations.
In M. Baldoni, M. Dastani, B. Liao, Y. Sakurai, R. Zalila Wenkstern, editors, Principles and Practice of Multi-Agent Systems, Proc. of the 22nd International Conference, PRIMA 2019, Turin, Italy, October 28-31, 2019, volume 11873 of Lecture Notes in Computer Science, pages 568-575, Springer, 2019.
S. Ramel, F. Pichon, F. Delmotte.
Étalonnage évidentiel actif de classifieurs SVM.
In Rencontres Francophones sur la Logique Floue et ses Applications, LFA 2018, Arras, France, November 8-9, 2018, pages 93-100, Cépaduès, 2018. Best student paper award.
N. Ben Abdallah, A.-L. Jousselme, F. Pichon.
Une famille de mesures de conflit entre fonctions de croyance.
In Rencontres Francophones sur la Logique Floue et ses Applications, LFA 2018, Arras, France, November 8-9, 2018, pages 111-118, Cépaduès, 2018.
Y.-L. Huang, G. Morvan, F. Pichon, D. Mercier.
Détection d’événements rares dans les simulations multi-agents.
In Journées Francophones sur les Systèmes Multi-Agents, JFSMA 2018, Métabief, France, October 10-12, 2018, pages 227-228, Cépaduès, 2018.
S. Ramel, F. Pichon, F. Delmotte.
Active evidential calibration of binary SVM classifiers.
In F. Cuzzolin, S. Destercke, T. Denœux and A. Martin, editors, Belief Functions: Theory and Applications, Proc. of the 5th International Conference, BELIEF 2018, Compiègne, France, September 17-21, 2018, volume 11069 of Lecture Notes in Computer Science, pages 208-216, Springer, 2018.
S. Destercke, F. Pichon, J. Klein.
From relations between sets to relations between belief functions.
In F. Cuzzolin, S. Destercke, T. Denœux and A. Martin, editors, Belief Functions: Theory and Applications, Proc. of the 5th International Conference, BELIEF 2018, Compiègne, France, September 17-21, 2018, volume 11069 of Lecture Notes in Computer Science, pages 65-72, Springer, 2018.
N. Ben Abdallah, A.-L. Jousselme, F. Pichon.
An ordered family of consistency measures of belief functions.
In F. Cuzzolin, S. Destercke, T. Denœux and A. Martin, editors, Belief Functions: Theory and Applications, Proc. of the 5th International Conference, BELIEF 2018, Compiègne, France, September 17-21, 2018, volume 11069 of Lecture Notes in Computer Science, pages 199-207, Springer, 2018.
P. Minary, F. Pichon, D. Mercier, E. Lefèvre, B. Droit.
Calibration évidentielle conjointe de classifieurs SVM binaires fondée sur la régression logistique.
In Rencontres Francophones sur la Logique Floue et ses Applications, LFA 2017, Amiens, France, October 19-20, 2017, pages 39–46, Cépaduès, 2017. Best student paper award (tied for 1st place).
N. Helal, F. Pichon, D. Porumbel, D. Mercier, E. Lefèvre.
Le problème de tournées de véhicules avec des demandes évidentielles.
In Rencontres Francophones sur la Logique Floue et ses Applications, LFA 2017, Amiens, France, October 19-20, 2017, pages 15–22, Cépaduès, 2017. Best student paper award (tied for 1st place).
P. Minary, F. Pichon, D. Mercier, E. Lefevre, B. Droit.
Evidential joint calibration of binary SVM classifiers using logistic regression.
In S. Moral, O. Pivert, D. Sánchez and N. Marín, editors, Scalable Uncertainty Management, Proc of the 11th International Conference, SUM 2017, Granada, Spain, October 4-6, 2017, volume 10564 of Lecture Notes in Computer Science, pages 405–411, Springer, 2017.
N. Helal, F. Pichon, D. Porumbel, D. Mercier, E. Lefèvre.
A Recourse Approach for the Capacitated Vehicle Routing Problem with Evidential Demands.
In A. Antonucci, L. Cholvy and O. Papini, editors, Symbolic and Quantitative Approaches to Reasoning with Uncertainty, Proc of the 14th European Conference, ECSQARU 2017, Lugano, Switzerland, July 10-14, 2017, volume 10369 of Lecture Notes in Computer Science, pages 190–200, Springer, 2017.
F. Pichon, A.-L. Jousselme.
A norm-based view on conflict.
In Rencontres Francophones sur la Logique Floue et ses Applications, LFA 2016, La Rochelle, France, November 3-4, 2016, pages 153–159, Cépaduès, 2016.
P. Minary, F. Pichon, D. Mercier, E. Lefèvre, B. Droit.
An Evidential Pixel-Based Face Blurring Approach.
In J. Vejnarová and V. Kratochvil, editors, Belief Functions: Theory and Applications, Proc. of the Fourth International Conference, BELIEF 2016, Prague, Czech Republic, September 21-23, 2016, volume 9861 of Lecture Notes in Computer Science, pages 222-230, Springer, 2016. Best student paper award (tied for 1st place).
N. Helal, F. Pichon, D. Porumbel, D. Mercier, E. Lefèvre.
The Capacitated Vehicle Routing Problem with Evidential Demands: A Belief-Constrained Programming Approach.
In J. Vejnarová and V. Kratochvil, editors, Belief Functions: Theory and Applications, Proc. of the Fourth International Conference, BELIEF 2016, Prague, Czech Republic, September 21-23, 2016, volume 9861 of Lecture Notes in Computer Science, pages 212-221, Springer, 2016.
P. Minary, B. Droit, F. Pichon, D. Mercier, E. Lefevre.
A fusion method for blurring faces on platforms using belief functions.
In 11th World Congress on Railway Research, Milan, Italy, May 29-June 2, 2016.
N. Helal, F. Pichon, D. Porumbel, D. Mercier, E. Lefèvre.
Optimisation discrète sous incertitudes modélisées par des fonctions de croyance.
In 17ème congrès de la Société Française de Recherche Opérationnelle et d'Aide à la Décision (ROADEF), Compiègne, France, february 10-12, 2016.
D. Mercier, F. Pichon, E. Lefèvre, F. Delmotte.
Learning contextual discounting and contextual reinforcement from labelled data.
In S. Destercke and T. Denœux, editors, Symbolic and Quantitative Approaches to Reasoning with Uncertainty, Proc of the 13th European Conference, ECSQARU 2015, Compiègne, France, July 15-17, 2015, volume 9161 of Lecture Notes in Computer Science, pages 472–481, Springer, 2015.
E. Lefèvre, F. Pichon, D. Mercier, Z. Elouedi, B. Quost.
Estimation de sincérité et pertinence à partir de matrices de confusion pour la correction de fonctions de croyance.
In Rencontres Francophones sur la Logique Floue et ses Applications, LFA 2014, Cargèse, France, October 22-24, 2014, pages 115–122, Cépaduès, 2014.
F. Pichon, D. Mercier, F. Delmotte, E. Lefèvre.
Truthfulness in contextual information correction.
In F. Cuzzolin, editor, Belief Functions: Theory and Applications, Proc. of the Third International Conference, BELIEF 2014, Oxford, UK, September 26-28, 2014, volume 8764 of Lecture Notes in Computer Science, pages 11–20, Springer, 2014.
F. Delmotte, D. Mercier, F. Pichon.
A first inquiry into Simpson's paradox with belief functions.
In A. Laurent, O. Strauss, B. Bouchon-Meunier, and R. Yager, editors, Information Processing and Management of Uncertainty in Knowledge-Based Systems, Proc. of the 15th International Conference, IPMU 2014, Montpellier, France, July 15-19, 2014, volume 444 of Communications in Computer and Information Science, pages 190-199, Springer, 2014.
F. Pichon, S. Destercke, T. Burger.
Selecting Source Behavior in Information Fusion on the Basis of Consistency and Specificity.
In L. C. van der Gaag, editor, Symbolic and Quantitative Approaches to Reasoning with Uncertainty, Proc. of the 12th European Conference, ECSQARU 2013, Utrecht, The Netherlands, July 8-10, 2013, volume 7958 of Lecture Notes in Computer Science, pages 473–484, Springer, 2013.
B. Duqueroie, C. Labreuche, F. Pichon, N. Museux.
Probability update for risk assessment of dreaded events in asymmetric warfare.
In Proceedings of the 16th International Conference on Information Fusion, FUSION 2013, Istanbul, Turkey, July 9-12, 2013, pages 334-341, IEEE, 2013.
S. Fossier, C. Laudy, F. Pichon.
Managing uncertainty in conceptual graph-based soft information fusion.
In Proceedings of the 16th International Conference on Information Fusion, FUSION 2013, Istanbul, Turkey, July 9-12, 2013, pages 930-937, IEEE, 2013.
F. Pichon, F. Aligne, G. Feugnet, J. M. Blatny.
A classifier fusion-based approach to improve biological threat detection.
In 11th International Symposium on Protection against Chemical and Biological Warfare Agents, Stockholm, Sweden, June 3-5, 2013.
F. Pichon.
On the α-conjunctions for combining belief functions.
In T. Denoeux and M.-H. Masson, editors, Belief Functions: Theory and Applications, Proc. of the Second International Conference, BELIEF 2012, Compiègne, France, May 9-11, 2012, volume 164 of Advances in Intelligent and Soft Computing, pages 285–292, Springer, 2012.
M.-J. Lesot, T. Delavallade, F. Pichon, H. Akdag, B. Bouchon-Meunier, P. Capet.
Proposition of a semi-automatic possibilistic information scoring process.
In Proceedings of the 7th conference of the European Society for Fuzzy Logic and Technology, EUSFLAT-LFA 2011, Aix-les-Bains, France, July 18-22, 2011, pages 949–956, Atlantis Press, 2011.
F. Pichon.
Equivalence of correction and fusion schemes under meta-independence of sources.
In 1st Workshop on the Theory of Belief Functions, BELIEF 2010, Brest, France, April 1-2, 2010.
T. Baerecke, T. Delavallade, M.-J. Lesot, F. Pichon, H. Akdag, B. Bouchon-Meunier, P. Capet, L. Cholvy.
Un modèle de cotation pour la veille informationnelle en source ouverte.
In Actes du 6ème colloque Veille Stratégique Scientifique & Technologique, VSST 2010, Toulouse, France, October 25-29, 2010.
T. Delavallade, H. Akdag, T. Baerecke, B. Bouchon-Meunier, P. Capet, L. Cholvy, M.-J. Lesot, F. Pichon.
Des données textuelles au renseignement : vers un modèle global de cotation.
In Actes de l'atelier COTA (COtation des informations : Théorie et Applications), Journées Francophones d'Ingénierie des Connaissances, IC 2010, Nîmes, France, June 8-11, 2010, pages 87–97.
F. Pichon, T. Denœux.
Interpretation and computation of α-junctions for combining belief functions.
In T. Augustin, F. P. A. Coolen, S. Moral, and M. C. M. Troffaes, editors, Proceedings of the Sixth International Symposium on Imprecise Probability: Theories and Applications, ISIPTA 2009, Durham, United Kingdom, July 14-18, 2009, pages 357–366, SIPTA, 2009.
F. Pichon, T. Denœux.
A new singular property of the unnormalized Dempster's rule among uninorm-based combination rules.
In L. Magdalena, M. Ojeda-Aciego, and J.L. Verdegay, editors, Proceedings of the 12th Int. Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2008, Torremolinos, Spain, June 22-27, 2008, pages 314–321.
F. Pichon, T. Denœux.
T-norm and uninorm-based combination of belief functions.
Proceedings of the 2008 Annual Meeting of the North American Fuzzy Information Processing Society, NAFIPS 2008, New-York, USA, May 19-22, 2008, pages 1–6, IEEE, 2008. Best student paper award.
F. Pichon, T. Denœux.
A new justification of the unnormalized dempster's rule of combination from the least commitment principle.
In D. Wilson and H. Chad Lane, editors, Proceedings of the Twenty-First International Florida Artificial Intelligence Research Society Conference, FLAIRS 2008, Coconut Grove, Florida, May 15-17, 2008, pages 666–671, AAAI Press, 2008.
F. Pichon, T. Denœux.
On latent belief structures.
In K. Mellouli, editor, Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2007, Hammamet, Tunisia, October 31 - November 2, 2007, volume 4724 of Lecture Notes in Computer Science, pages 368–380, Springer, 2007.
F. Pichon, F.-X. Josset, T. Denœux.
Structures de croyance latente : Règles de combinaison conjonctive et prise de décision.
In Rencontres Francophones sur la Logique Floue et ses Applications, LFA 2007, Nîmes, France, november 22-23, 2007, pages 91–98, Cépaduès, 2007.
