Frédéric Pichon

Professor, Artois University

Laboratory of Computer Engineering and Automation of Artois

Industrial Engineering and Logistics department


Publications


Journal articles

T.-A. Vu, S. Afifi, E. Lefèvre, F. Pichon. Optimization problems with evidential linear objective. International Journal of Approximate Reasoning, 161:108987, 2023. PDF
S. Ramel, F. Pichon, F. Delmotte. A reliable version of choquistic regression based on evidence theory. Knowledge-Based Systems, 205:106252, 2020. PDF
S. Destercke, F. Pichon, J. Klein. From set relations to belief function relations. International Journal of Approximate Reasoning, 110:46-63, 2019. PDF
F. Pichon, A.-L. Jousselme, N. Ben Abdallah. Several shades of conflict. Fuzzy Sets and Systems, 366:63-84, 2019. PDF
P. Minary, F. Pichon, D. Mercier, E. Lefèvre, B. Droit. Evidential joint calibration of binary SVM classifiers. Soft Computing, 23(13):4655-4671, 2019. PDF
N. Helal, F. Pichon, D. Porumbel, D. Mercier, E. Lefèvre. The capacitated vehicle routing problem with evidential demands. International Journal of Approximate Reasoning, 95:124-151, 2018. PDF
F. Pichon. Canonical decomposition of belief functions based on Teugels' representation of the multivariate Bernoulli distribution. Information Sciences, 428:76-104, 2018. PDF
P. Minary, F. Pichon, D. Mercier, E. Lefèvre, B. Droit. Face pixel detection using evidential calibration and fusion. International Journal of Approximate Reasoning, 91:202-215, 2017. PDF
F. Pichon, D. Mercier, E. Lefèvre, F. Delmotte. Proposition and learning of some belief function contextual correction mechanisms. International Journal of Approximate Reasoning, 72:4-42, 2016. PDF
D. Mercier, F. Pichon, E. Lefèvre. Corrigendum to "Belief functions contextual discounting and canonical decompositions" [International Journal of Approximate Reasoning 53 (2012) 146-158]. International Journal of Approximate Reasoning, 70:137-139, 2016. PDF
F. Pichon, S. Destercke, T. Burger. A consistency-specificity trade-off to select source behavior in information fusion. IEEE Transactions on Cybernetics, 45(4):598-609, 2015. PDF
F. Pichon, D. Dubois, T. Denœux. Relevance and truthfulness in information correction and fusion. International Journal of Approximate Reasoning, 53(2):159-175, 2012. PDF
F. Pichon, T. Denœux. The unnormalized Dempster's rule of combination: a new justification from the least commitment principle and some extensions. Journal of Automated Reasoning, 45:61-87, 2010. PDF

Edited journal issues

Z. Liu, F. Pichon, X. Yue. Special issue from the 6th International Conference on Belief Functions (BELIEF 2021). International Journal of Approximate Reasoning, 152:282-283, 2023.
S. Destercke, D. Mercier, F. Pichon. Special issue from the 5th International Conference on Belief Functions (BELIEF 2018). International Journal of Approximate Reasoning, 117:50-51, 2020.

Edited conference proceedings

T. Denœux, E. Lefèvre, Z. Liu, F. Pichon. Belief Functions: Theory and Applications. 6th International Conference (BELIEF 2021), Shanghai, China, October 15-17, 2021. Lecture Notes in Artificial Intelligence, 12915, Springer, 2021.

Book chapters

F. Pichon, D. Dubois, T. Denœux. Quality of information sources in information fusion. In É. Bossé and G. Rogova, editors, Information Quality in Information Fusion and Decision Making, pages 31-49, Springer, 2019.
F. Pichon, C. Labreuche, B. Duqueroie, T. Delavallade. Multidimensional Approach to Reliability Evaluation of Information Sources. In P. Capet and T. Delavallade, editors, Information evaluation, pages 129–156, Wiley-ISTE, 2014.
M.-J. Lesot, F. Pichon, T. Delavallade. Quantitative Information Evaluation: Modeling and Experimental Evaluation. In P. Capet and T. Delavallade, editors, Information evaluation, pages 187–228, Wiley-ISTE, 2014.
F. Pichon, C. Labreuche, B. Duqueroie, T. Delavallade. Approche multidimensionnelle pour l'évaluation de la fiabilité de sources d'information. In P. Capet and T. Delavallade, editors, L'évaluation de l'information. Confiance et défiance envers l'information : concepts, besoins, méthodes et perspectives, pages 147–170, Collection Recherche d'information et Web, Hermes, 2013.
M.-J. Lesot, F. Pichon, T. Delavallade. Cotation quantitative de l'information : modélisation et évaluation expérimentale. In P. Capet and T. Delavallade, editors, L'évaluation de l'information. Confiance et défiance envers l'information : concepts, besoins, méthodes et perspectives, pages 195–229, Collection Recherche d'information et Web, Hermes, 2013.

Conference papers

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.

Patents

C. Laudy, F. Pichon, S. Fossier, N. Museux, F. Aligne. Method of uncertain information management from different heterogeneous information sources and of decision making. European patent EP2810223, granted March 24, 2021.
F. Pichon. Method, device and system for combining information derived from several sensors. European patent EP2328115, granted November 20, 2013. US patent US8615480, granted December 24, 2013.
F. Pichon, T. Denœux. Method, device and system for merging information from several sensors. European patent EP2174268, granted August 29, 2012. US patent US8612378, granted December 17, 2013.

Theses

F. Pichon. Qualité des sources en fusion d'informations dans le cadre de la théorie des fonctions de croyance. HDR thesis, Artois University, France, 319 pages, November 2018.
F. Pichon. Belief functions: canonical decompositions and combination rules. PhD thesis, University of Technology of Compiègne, France, 232 pages, March 2009. PDF
M. Buffière, F. Pichon. Knowledge based flexible query answering. Master thesis, Aalborg University Esbjerg, Denmark, 113 pages, June 2005.

Talks

F. Pichon. Information fusion in the theory of evidence. Lecture at the 6th school on Belief Functions and Their Applications (BFTA), Nomi, Ishikawa, Japan, October 28, 2023. PDF
F. Pichon, A.-L. Jousselme. Fusion using belief functions: source reliability and conflict. Tutorial at the 24th International Conference on Information Fusion (FUSION), Sun City, South Africa, November 1, 2021.
F. Pichon. Introduction to information fusion in belief function theory. Tutorial at the 6th International Conference on Belief Functions (BELIEF), Shanghai, China, October 15, 2021.
F. Pichon. Information fusion using belief functions: source reliability and conflict. Tutorial at the 14th International Conference on Scalable Uncertainty Management (SUM), Bozen-Bolzano, Italy, September 25, 2020.
F. Pichon, A.-L. Jousselme. Fusion using belief functions: source reliability and conflict. Tutorial at the 23rd International Conference on Information Fusion (FUSION), virtual conference, July 6, 2020.
F. Pichon. Information correction and fusion using belief functions. Lecture at the 5th school on Belief Functions and Their Applications (BFTA), La Certosa di Pontignano, Siena, Italy, October 28, 2019. PDF
F. Pichon. Fusion et comparaison d'informations en théorie des fonctions de croyance. Seminar of the Connaissances, Incertitudes, Données (CID) team of the Heudiasyc laboratory, Compiègne, France, September 16, 2019. PDF
F. Pichon. Fusion et comparaison d'informations en théorie des fonctions de croyance. Seminar of the Laboratoire de Génie Informatique et d'Automatique de l'Artois (LGI2A), Béthune, France, September 12, 2019.
F. Pichon. Fusion et comparaison d'informations en théorie des fonctions de croyance. Seminar of the Informatique, Bio-Informatique et Systèmes Complexes (IBISC) laboratory, Évry, France, May 6, 2019.
F. Pichon. Récentes avancées en fusion d'informations imparfaites pour l'aide à la décision. Seminar of the Laboratoire de Génie Informatique et d'Automatique de l'Artois (LGI2A), Béthune, France, May 7, 2013.
F. Pichon. Prise en compte de méta-connaissances sur les sources en correction et en fusion d'informations. SCATI (Systèmes Complexes pour l'Analyse et le Traitement d'Images) meeting, GDR ISIS, Paris, France, December 9, 2010.

Service


Editorial boards International Journal of Approximate Reasoning (Area Editor since February 2021, Associate Editor from July 2018 to January 2021). International Journal of Serious Games (Section Editor from November 2019 to September 2021).
Conference steering committees BELIEF 2021, BELIEF 2022.
Conference program committees LFA 2017, BELIEF-SMPS 2018, LFA 2018, IJCAI 2019, ISIPTA 2019, LFA 2019, FUSION 2020, IJCAI-PRICAI 2020, LFA 2020, BELIEF 2021 (PC chair), ECSQARU 2021, FUSION 2021, ISIPTA 2021, LFA 2021, UAI 2021 (top reviewer), BELIEF 2022, FUSION 2022, LFA 2022, ECSQARU 2023, FUSION 2023, ISIPTA 2023, IUKM 2023, LFA 2023, BELIEF 2024, LFA 2024 (PC chair), SUM 2024.
Organisation committees BFTA school 2015, LFA 2018, BFTA school 2019, BFTA school 2023.
Societies BFAS (since 2010, board of directors and treasurer since 2017), SIPTA (2009-2013, 2019-2023), ISIF (2020).
PhD thesis committees X. Yu, "Uncertainty quantification for vision regression tasks", Université de Paris-Saclay, France, 2023. (reviewer) Y. Id Messaoud, "Uncertainty Assessment in Safety Argument Structure - An approach based on Dempster-Shafer Theory", Université Fédérale Toulouse Midi-Pyrénées, France, 2022. (reviewer) M. F. Mbarga Nkogo, "Aspects temporels dans l'interprétation des données d'émission acoustique : importance de critères de validation adaptés et pertinence de méthodes variationnelles bayésiennes avec et sans a priori", Université Bourgogne Franche-Comté, France, 2022. (reviewer) Z. Tong, "Evidential deep neural network in the framework of Dempster-Shafer theory", Université de Technologie de Compiègne, France, 2022. (reviewer) M. Chaveroche, "Efficient decentralized collaborative perception for autonomous vehicles driving", Université de Technologie de Compiègne, France, 2021. (reviewer) L. Jacquin, "Traitement de données incertaines : Application au tri des matières plastiques", École Nationale Supérieure des Mines d'Alès, France, 2021. (reviewer) Y. C. Carranza Alarcon, "Distributionally robust, skeptical inferences in supervised classification using imprecise probabilities", Université de Technologie de Compiègne, France, 2020. (examiner) F. de Rosa, "Knowledge Acquisition Analytical Games: games for cognitive systems design", University of Genoa, Italy, 2020. (reviewer) É. Capellier, "Application of machine learning techniques for evidential 3D perception, in the context of autonomous driving", Université de Technologie de Compiègne, France, 2020. (reviewer)
Reviewer International Journal of Approximate Reasoning, IEEE Transactions on Fuzzy Systems, IEEE Transactions on Cybernetics, Knowledge-Based Systems, Information Fusion, Artificial Intelligence Review, Engineering Applications of Artificial Intelligence, International Journal of Serious Games, Journal of Business Research, Artificial Intelligence in Medicine, Information Sciences, Fuzzy Sets and Systems.

PhD Supervision


In progress

Aurélie Akli. Assistance in reasoning under inconsistencies for uncertainty resolution. December 2023 - . Co-supervisors: A.-L. Jousselme and E. Quillerou.
Serigne Mamadou Diène. Developing deep neural networks with Dempster-Shafer theory. October 2023 - . Co-supervisors: D. Mercier and S. Ramel.
Tuan-Anh Vu. Models and solving methods for combinatorial optimization problems with evidential uncertainty. October 2021 - . Co-supervisors: E. Lefèvre and S. Afifi.

Completed

Tekwa Tedjini. The vehicle routing problem with time windows and uncertain service and travel times: a belief function-based answer. October 2018 - December 2021. Co-supervisors: E. Lefèvre and S. Afifi.
Siti Mutmainah. Learning to adjust an evidential source of information using partially labeled data and partial decisions. September 2017 - September 2021. Co-supervisors: D. Mercier and S. Hachour.
Yu-Lin Huang. A new simulation execution policy based on clustering, selection and cloning principles. November 2017 - July 2021. Co-supervisors: D. Mercier and G. Morvan.
Sébastien Ramel. Evidential logistic regression: application to active classifier calibration and choquistic extension. October 2016 - June 2020. Co-supervisor: F. Delmotte.
Pauline Minary. Evidential calibration and fusion of multiple classifiers: application to face blurring. December 2014 - December 2017. Co-supervisors: E. Lefèvre and D. Mercier.
Nathalie Helal. An evidential answer for the capacitated vehicle routing problem with uncertain demands. October 2014 - December 2017. Co-supervisors: E. Lefèvre and D. Porumbel.

Biography


I received the B.Eng. (Hons) degree in computer networks and distributed systems from Edinburgh Napier University in 2003, the M.Sc. degree in information technology from Aalborg University Esbjerg in 2005, the Ph.D. degree in information and communication systems from the University of Technology of Compiègne in 2009, and the H.D.R. degree in computer engineering, automatic control and signal processing from Artois University in 2018.

I am a Full Professor at Artois University: I am a member of the Laboratory of Computer Engineering and Automation of Artois (LGI2A) and I teach in the Industrial Engineering and Logistics department, both belonging to the Faculty of Applied Sciences located in Béthune, France. My research interests include uncertain reasoning, information fusion and machine learning.

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