Multi-sensor multi-target tracking with robust kinematic data based credal classification. - Samir Hachour; François Delmotte; David Mercier; Eric Lefevre (SDF, 2013)

A New Parameterless Credal Method to Track-to-Track Assignment Problem. - Samir Hachour; François Delmotte; David Mercier (Belief Functions, 2014)

A distributed solution for multi-object tracking and classification. - Samir Hachour; François Delmotte; David Mercier (FUSION, 2014)

Comparison of Credal Assignment Algorithms in Kinematic Data Tracking Context. - Samir Hachour; François Delmotte; David Mercier (IPMU (3), 2014)

Object tracking and credal classification with kinematic data in a multi-target context. - Samir Hachour; François Delmotte; David Mercier; Eric Lefèvre (Inf. Fusion, 2014)

Multi-Target PHD Tracking and Classification Using Imprecise Likelihoods. - Benoît Fortin; Samir Hachour; François Delmotte (Int. J. Approx. Reason., 2017)

A Robust Credal Assignment Solution Based on the Generalized Bayes' Theorem. - Samir Hachour; François Delmotte; David Mercier (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2017)

On Learning Evidential Contextual Corrections from Soft Labels Using a Measure of Discrepancy Between Contour Functions. - Siti Mutmainah; Samir Hachour; Frédéric Pichon; David Mercier (SUM, 2019)

Improving an Evidential Source of Information Using Contextual Corrections Depending on Partial Decisions. - Siti Mutmainah; Samir Hachour; Frédéric Pichon; David Mercier (BELIEF, 2021)

On Improving a Group of Evidential Sources with Different Contextual Corrections. - Siti Mutmainah; Samir Hachour; Frédéric Pichon; David Mercier (BELIEF, 2022)

Améliorer un groupe de sources crédibilistes avec des corrections contextuelles. - Siti Mutmainah; Samir Hachour; Frédéric Pichon; David Mercier (LFA, 2022)