Frédéric Pichon

Associate professor, Artois University

Research Lab LGI2A, Teaching Dep GIL


Publications


Journal articles

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

Book chapters

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

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.
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.
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).
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 ROADEF de la société Française de Recherche Opérationnelle et Aide à la Décision, 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.

Other publications

Patents

F. Pichon. Method, device and system for combining information derived from several sensors. European patent EP2328115, granted November 20, 2013.
F. Pichon, T. Denœux. Method, device and system for merging information from several sensors. European patent EP2174268, granted August 29, 2012.

Theses

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

N. Helal, F. Pichon, D. Porumbel, D. Mercier, E. Lefèvre. The Capacitated Vehicle Routing Problem with Evidential Demands: Models and Perspectives. Workshop on Uncertainty in Machine Learning (WUML) / 10th Workshop on Principles and Methods of Statistical Inference with Interval Probability (WPMSIIP), Compiègne, France, September 11-15, 2017.
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, 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.

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, and the Ph.D. degree in information and communication systems from the University of Technology of Compiègne in 2009. From 2009 to 2013, I was a research engineer at the Decision Technologies and Mathematics Laboratory of Thales Research and Technology, Palaiseau, France.

Since 2013, I have been an associate 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 (GIL), which are both located in Béthune, France. My research interests include uncertainty modeling, information fusion and pattern recognition.

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