Samir Hachour

According to our database, Samir Hachour authored at least 11 papers between 2013 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2022

Améliorer un groupe de sources crédibilistes avec des corrections contextuelles.

Siti Mutmainah, Samir Hachour, Frédéric Pichon, David Mercier

Proceedings of the Rencontres francophones sur la Logique Floue et ses Applications, 2022

On Improving a Group of Evidential Sources with Different Contextual Corrections.

Siti Mutmainah, Samir Hachour, Frédéric Pichon, David Mercier

Proceedings of the Belief Functions: Theory and Applications, 2022

2021

Improving an Evidential Source of Information Using Contextual Corrections Depending on Partial Decisions.

Siti Mutmainah, Samir Hachour, Frédéric Pichon, David Mercier

Proceedings of the Belief Functions: Theory and Applications, 2021

2019

On Learning Evidential Contextual Corrections from Soft Labels Using a Measure of Discrepancy Between Contour Functions.

Siti Mutmainah, Samir Hachour, Frédéric Pichon, David Mercier

Proceedings of the Scalable Uncertainty Management - 13th International Conference, 2019

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

Multi-Target PHD Tracking and Classification Using Imprecise Likelihoods.

Benoît Fortin, Samir Hachour, François Delmotte

Int. J. Approx. Reason., 2017

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

Comparison of Credal Assignment Algorithms in Kinematic Data Tracking Context.

Samir Hachour, François Delmotte, David Mercier

Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2014

A distributed solution for multi-object tracking and classification.

Samir Hachour, François Delmotte, David Mercier

Proceedings of the 17th International Conference on Information Fusion, 2014

A New Parameterless Credal Method to Track-to-Track Assignment Problem.

Samir Hachour, François Delmotte, David Mercier

Proceedings of the Belief Functions: Theory and Applications, 2014

2013

Multi-sensor multi-target tracking with robust kinematic data based credal classification.

Samir Hachour, François Delmotte, David Mercier, Eric Lefevre

Proceedings of the Workshop on Sensor Data Fusion: Trends, Solutions, Applications, 2013