David Mercier

Orcid: 0000-0002-7511-7874

According to our database1, David Mercier authored at least 53 papers between 2002 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Time series classification with random convolution kernels based transforms: pooling operators and input representations matter.
CoRR, 2024

r-ERBFN: An Extension of the Evidential RBFN Accounting for the Dependence Between Positive and Negative Evidence.
Proceedings of the Scalable Uncertainty Management - 16th International Conference, 2024

2022
Améliorer un groupe de sources crédibilistes avec des corrections contextuelles.
Proceedings of the Rencontres francophones sur la Logique Floue et ses Applications, 2022

On Improving a Group of Evidential Sources with Different Contextual Corrections.
Proceedings of the Belief Functions: Theory and Applications, 2022

2021
SPSC: An Efficient, General-Purpose Execution Policy for Stochastic Simulations.
Proceedings of the Winter Simulation Conference, 2021

Improving an Evidential Source of Information Using Contextual Corrections Depending on Partial Decisions.
Proceedings of the Belief Functions: Theory and Applications, 2021

2020
Special issue from the 5th International Conference on Belief Functions (BELIEF 2018).
Int. J. Approx. Reason., 2020

2019
Evidential joint calibration of binary SVM classifiers.
Soft Comput., 2019

On Learning Evidential Contextual Corrections from Soft Labels Using a Measure of Discrepancy Between Contour Functions.
Proceedings of the Scalable Uncertainty Management - 13th International Conference, 2019

SPSC: A New Execution Policy for Exploring Discrete-Time Stochastic Simulations.
Proceedings of the PRIMA 2019: Principles and Practice of Multi-Agent Systems, 2019

2018
Information Fusion With Belief Functions for Detection of Interturn Short-Circuit Faults in Electrical Machines Using External Flux Sensors.
IEEE Trans. Ind. Electron., 2018

The capacitated vehicle routing problem with evidential demands.
Int. J. Approx. Reason., 2018

Détection d'événements rares dans les simulations multi-agents (démonstration).
Proceedings of the Distribution et Décentralisation, 2018

2017
A Robust Credal Assignment Solution Based on the Generalized Bayes' Theorem.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2017

Face pixel detection using evidential calibration and fusion.
Int. J. Approx. Reason., 2017

Evidential Joint Calibration of Binary SVM Classifiers Using Logistic Regression.
Proceedings of the Scalable Uncertainty Management - 11th International Conference, 2017

Information fusion of external flux sensors for detection of inter-turn short circuit faults in induction machines.
Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 2017

A Recourse Approach for the Capacitated Vehicle Routing Problem with Evidential Demands.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2017

2016
Proposition and learning of some belief function contextual correction mechanisms.
Int. J. Approx. Reason., 2016

Corrigendum to "Belief functions contextual discounting and canonical decompositions" [International Journal of Approximate Reasoning 53 (2012) 146-158].
Int. J. Approx. Reason., 2016

Online temporal reasoning for event and data streams processing.
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

An Evidential Pixel-Based Face Blurring Approach.
Proceedings of the Belief Functions: Theory and Applications, 2016

The Capacitated Vehicle Routing Problem with Evidential Demands: A Belief-Constrained Programming Approach.
Proceedings of the Belief Functions: Theory and Applications, 2016

2015
Learning Contextual Discounting and Contextual Reinforcement from Labelled Data.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2015

2014
Object tracking and credal classification with kinematic data in a multi-target context.
Inf. Fusion, 2014

A high-level application using belief functions for exchanging and managing uncertain events on the road in vehicular ad hoc networks.
Ann. des Télécommunications, 2014

Comparison of Credal Assignment Algorithms in Kinematic Data Tracking Context.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2014

A First Inquiry into Simpson's Paradox with Belief Functions.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2014

A distributed solution for multi-object tracking and classification.
Proceedings of the 17th International Conference on Information Fusion, 2014

A robust regularization path for the Doubly Regularized Support Vector Machine.
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

Truthfulness in Contextual Information Correction.
Proceedings of the Belief Functions: Theory and Applications, 2014

A New Parameterless Credal Method to Track-to-Track Assignment Problem.
Proceedings of the Belief Functions: Theory and Applications, 2014

Methods Handling Accident and Traffic Jam Information with Belief Functions in VANETs.
Proceedings of the Belief Functions: Theory and Applications, 2014

2013
Multi-sensor multi-target tracking with robust kinematic data based credal classification.
Proceedings of the Workshop on Sensor Data Fusion: Trends, Solutions, Applications, 2013

Systèmes multi-agents pour la gestion de sources d'énergie renouvelable et de stockage de masse (présentation courte).
Proceedings of the Dynamiques, couplages et visions intégratives - JFSMA 13, 2013

Exchanging dynamic and imprecise information in V2V networks with belief functions.
Proceedings of the 16th International IEEE Conference on Intelligent Transportation Systems, 2013

2012
Shift & 2D Rotation Invariant Sparse Coding for Multivariate Signals.
IEEE Trans. Signal Process., 2012

Belief functions contextual discounting and canonical decompositions.
Int. J. Approx. Reason., 2012

An improvement of a diagnosis procedure for AC machines using two external flux sensors based on a fusion process with belief functions.
Proceedings of the 38th Annual Conference on IEEE Industrial Electronics Society, 2012

2011
Object association with belief functions, an application with vehicles.
Inf. Sci., 2011

Towards a robust exchange of imperfect information in inter-vehicle ad-hoc networks using belief functions.
Proceedings of the IEEE Intelligent Vehicles Symposium (IV), 2011

Towards an Alarm for Opposition Conflict in a Conjunctive Combination of Belief Functions.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2011

2010
Association pour le suivi d'objets dans le cadre des fonctions de croyance, appliquée aux véhicules intelligents.
Proceedings of the Fouille de données complexes, 2010

Discountings of a Belief Function Using a Confusion Matrix.
Proceedings of the 22nd IEEE International Conference on Tools with Artificial Intelligence, 2010

2009
Decision fusion for postal address recognition using belief functions.
Expert Syst. Appl., 2009

Using Kernel Basis with Relevance Vector Machine for Feature Selection.
Proceedings of the Artificial Neural Networks, 2009

Belief assignment on compound hypotheses within the framework of the Transferable Belief Model.
Proceedings of the 12th International Conference on Information Fusion, 2009

2008
Refined modeling of sensor reliability in the belief function framework using contextual discounting.
Inf. Fusion, 2008

2006
How to help seismic analysts to verify the French seismic bulletin?
Eng. Appl. Artif. Intell., 2006

General Correction Mechanisms for Weakening or Reinforcing Belief Functions.
Proceedings of the 9th International Conference on Information Fusion, 2006

2005
Contextual Discounting of Belief Functions.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2005

2002
Lipreading with Spiking Neurons - One Pass Learning.
Proceedings of the 10-th International Conference in Central Europe on Computer Graphics, 2002

Audio-Visual Speech Recognition One Pass Learning with Spiking Neurons.
Proceedings of the Artificial Neural Networks, 2002


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