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2020 – today
- 2024
[c35]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- [i2]Mouhamadou Mansour Lo, Gildas Morvan, Mathieu Rossi, Fabrice Morganti, David Mercier:
Time series classification with random convolution kernels based transforms: pooling operators and input representations matter. CoRR abs/2409.01115 (2024) - 2022
- [c34]Siti Mutmainah
, Samir Hachour, Frédéric Pichon, David Mercier:
On Improving a Group of Evidential Sources with Different Contextual Corrections. BELIEF 2022: 109-118 - [c33]Siti Mutmainah, Samir Hachour, Frédéric Pichon, David Mercier:
Améliorer un groupe de sources crédibilistes avec des corrections contextuelles. LFA 2022 - 2021
- [c32]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 - [c31]Yu-Lin Huang, Gildas Morvan, Frédéric Pichon, David Mercier:
SPSC: An Efficient, General-Purpose Execution Policy for Stochastic Simulations. WSC 2021: 1-12 - 2020
- [j16]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)
2010 – 2019
- 2019
- [j15]Pauline Minary, Frédéric Pichon, David Mercier, Eric Lefevre, Benjamin Droit:
Evidential joint calibration of binary SVM classifiers. Soft Comput. 23(13): 4655-4671 (2019) - [c30]Yu-Lin Huang, Gildas Morvan, Frédéric Pichon, David Mercier:
SPSC: A New Execution Policy for Exploring Discrete-Time Stochastic Simulations. PRIMA 2019: 568-575 - [c29]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 - [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
- [j14]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) - [j13]Miftah Irhoumah, Remus Pusca, Eric Lefevre, David Mercier, Raphaël Romary, Cristian Demian:
Information Fusion With Belief Functions for Detection of Interturn Short-Circuit Faults in Electrical Machines Using External Flux Sensors. IEEE Trans. Ind. Electron. 65(3): 2642-2652 (2018) - [c28]Yu-Lin Huang, Gildas Morvan, Frédéric Pichon, David Mercier:
Détection d'événements rares dans les simulations multi-agents (démonstration). JFSMA 2018: 227-228 - 2017
- [j12]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) - [j11]Samir Hachour, François Delmotte, David Mercier:
A Robust Credal Assignment Solution Based on the Generalized Bayes' Theorem. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 25(6): 947-972 (2017) - [c27]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 - [c26]Miftah Irhoumah, David Mercier, Remus Pusca, Eric Lefevre, Raphaël Romary:
Information fusion of external flux sensors for detection of inter-turn short circuit faults in induction machines. IECON 2017: 8076-8081 - [c25]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
- [j10]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) - [j9]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) - [c24]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 - [c23]Pauline Minary, Frédéric Pichon, David Mercier, Eric Lefèvre, Benjamin Droit:
An Evidential Pixel-Based Face Blurring Approach. BELIEF 2016: 222-230 - [c22]Jean-Philippe Poli, Laurence Boudet, David Mercier:
Online temporal reasoning for event and data streams processing. FUZZ-IEEE 2016: 2257-2264 - 2015
- [c21]David Mercier, Frédéric Pichon, Eric Lefevre, François Delmotte:
Learning Contextual Discounting and Contextual Reinforcement from Labelled Data. ECSQARU 2015: 472-481 - 2014
- [j8]Mira Bou Farah, David Mercier, Eric Lefèvre, François Delmotte:
A high-level application using belief functions for exchanging and managing uncertain events on the road in vehicular ad hoc networks. Ann. des Télécommunications 69(3-4): 185-199 (2014) - [j7]Samir Hachour, François Delmotte, David Mercier, Eric Lefèvre:
Object tracking and credal classification with kinematic data in a multi-target context. Inf. Fusion 20: 174-188 (2014) - [c20]Frédéric Pichon, David Mercier, François Delmotte, Eric Lefevre:
Truthfulness in Contextual Information Correction. Belief Functions 2014: 11-20 - [c19]Mira Bou Farah, David Mercier, François Delmotte, Eric Lefèvre, Sylvain Lagrue:
Methods Handling Accident and Traffic Jam Information with Belief Functions in VANETs. Belief Functions 2014: 124-133 - [c18]Samir Hachour, François Delmotte, David Mercier:
A New Parameterless Credal Method to Track-to-Track Assignment Problem. Belief Functions 2014: 403-411 - [c17]Antoine Lachaud, Stéphane Canu, David Mercier, Frédéric Suard:
A robust regularization path for the Doubly Regularized Support Vector Machine. ESANN 2014 - [c16]Samir Hachour, François Delmotte, David Mercier:
A distributed solution for multi-object tracking and classification. FUSION 2014: 1-7 - [c15]François Delmotte, David Mercier, Frédéric Pichon:
A First Inquiry into Simpson's Paradox with Belief Functions. IPMU (3) 2014: 190-199 - [c14]Samir Hachour, François Delmotte, David Mercier:
Comparison of Credal Assignment Algorithms in Kinematic Data Tracking Context. IPMU (3) 2014: 200-211 - 2013
- [c13]Mira Bou Farah, David Mercier, Eric Lefevre, François Delmotte:
Exchanging dynamic and imprecise information in V2V networks with belief functions. ITSC 2013: 967-972 - [c12]Crédo Paniah, Javier Gil Quijano, David Mercier:
Systèmes multi-agents pour la gestion de sources d'énergie renouvelable et de stockage de masse (présentation courte). JFSMA 2013: 29-38 - [c11]Samir Hachour, François Delmotte, David Mercier, Eric Lefevre:
Multi-sensor multi-target tracking with robust kinematic data based credal classification. SDF 2013: 1-6 - 2012
- [j6]David Mercier, Eric Lefèvre, François Delmotte:
Belief functions contextual discounting and canonical decompositions. Int. J. Approx. Reason. 53(2): 146-158 (2012) - [j5]Quentin Barthélemy, Anthony Larue, Aurélien Mayoue, David Mercier, Jérôme I. Mars:
Shift & 2D Rotation Invariant Sparse Coding for Multivariate Signals. IEEE Trans. Signal Process. 60(4): 1597-1611 (2012) - [c10]Rémus Pusca, Cristian Demian, David Mercier, Eric Lefevre, Raphaël Romary:
An improvement of a diagnosis procedure for AC machines using two external flux sensors based on a fusion process with belief functions. IECON 2012: 5096-5101 - 2011
- [j4]David Mercier, Eric Lefevre, Daniel Jolly:
Object association with belief functions, an application with vehicles. Inf. Sci. 181(24): 5485-5500 (2011) - [c9]Eric Lefevre, Zied Elouedi, David Mercier:
Towards an Alarm for Opposition Conflict in a Conjunctive Combination of Belief Functions. ECSQARU 2011: 314-325 - [c8]Mira Bou Farah, David Mercier, Eric Lefèvre, François Delmotte:
Towards a robust exchange of imperfect information in inter-vehicle ad-hoc networks using belief functions. Intelligent Vehicles Symposium 2011: 436-441 - 2010
- [c7]Zied Elouedi, Eric Lefevre, David Mercier:
Discountings of a Belief Function Using a Confusion Matrix. ICTAI (1) 2010: 287-294 - [p1]David Mercier, Eric Lefevre, Daniel Jolly:
Association pour le suivi d'objets dans le cadre des fonctions de croyance, appliquée aux véhicules intelligents. Fouille de données complexe 2010: 25-50
2000 – 2009
- 2009
- [j3]David Mercier, Genevieve Cron, Thierry Denoeux, Marie-Hélène Masson:
Decision fusion for postal address recognition using belief functions. Expert Syst. Appl. 36(3): 5643-5653 (2009) - [c6]Alexandre Veremme, Daniel Dupont, Eric Lefèvre, David Mercier:
Belief assignment on compound hypotheses within the framework of the Transferable Belief Model. FUSION 2009: 498-505 - [c5]Frédéric Suard, David Mercier:
Using Kernel Basis with Relevance Vector Machine for Feature Selection. ICANN (2) 2009: 255-264 - 2008
- [j2]David Mercier, Benjamin Quost, Thierry Denoeux:
Refined modeling of sensor reliability in the belief function framework using contextual discounting. Inf. Fusion 9(2): 246-258 (2008) - 2006
- [j1]David Mercier, Pierre Gaillard, Michaël Aupetit, Carole Maillard, Robert Quach, Jean-Denis Muller:
How to help seismic analysts to verify the French seismic bulletin? Eng. Appl. Artif. Intell. 19(7): 797-806 (2006) - [c4]David Mercier, Thierry Denoeux, Marie-Hélène Masson:
General Correction Mechanisms for Weakening or Reinforcing Belief Functions. FUSION 2006: 1-7 - 2005
- [c3]David Mercier, Benjamin Quost, Thierry Denoeux:
Contextual Discounting of Belief Functions. ECSQARU 2005: 552-562 - 2002
- [c2]Renaud Séguier, David Mercier:
Audio-Visual Speech Recognition One Pass Learning with Spiking Neurons. ICANN 2002: 1207-1212 - [c1]Renaud Séguier, Nicolas Cladel, Christophe Foucher, David Mercier:
Lipreading with Spiking Neurons - One Pass Learning. WSCG 2002: 397-404
Coauthor Index
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last updated on 2024-11-28 20:29 CET by the dblp team
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