MAAD research Department : Models and Algorithms to support Decision making
Responsable(s)
The work of the research Department "Models and Algorithms to support Decision making" (MAAD in French) focuses on fundamental and applied aspects of decision-making problems in various fields: computer science, industry, management, economics, communication, data processing, images, bioinformatics or environment. Work in this area focuses on modeling, simulation, algorithmic and mathematical analysis of optimization, diagnostics and learning problems. The studies carried out involve advanced mathematical models and methods and articulate them with software developments.
Keywords: Algorithms, graphs, optimization, learning, image processing, modeling, simulation.
Thèmes
Dernières Publications
Lucas Brunel, Mathieu Balesdent, Loïc Brevault, Rodolphe Le Riche, Bruno Sudret - Feb. 1, 2025
- Computer Methods in Applied Mechanics and Engineering
A survey on multi-fidelity surrogates for simulators with functional outputs: Unified framework and benchmark
Hassan Maatouk, Didier Rullière, Xavier Bay - Jan. 16, 2025
Efficient Bayesian linear models for a large number of observations
Roxane Jouseau, Sébastien Salva, C. Samir - Jan. 2, 2025 - Lecture Notes in Artificial Intelligence
A New Metric for Measuring the Intrinsic Quality in Data Collected for Quantitative Classification
Tien Tam Tran, Ines Adouani, Chafik Samir - Jan. 1, 2025 - ESAIM: Mathematical Modelling and Numerical Analysis
Computing regularized splines in the Riemannian manifold of probability measures
Armel Soubeiga, Violaine Antoine, Alice Corteval, Nicolas Kerckhove, Sylvain Moreno, Issam Falih, Jules Phalip - Jan. 1, 2025 - Expert Systems with Applications
Clustering and Interpretation of time-series trajectories of chronic pain using evidential c-means
A survey on multi-fidelity surrogates for simulators with functional outputs: Unified framework and benchmark
Hassan Maatouk, Didier Rullière, Xavier Bay - Jan. 16, 2025
Efficient Bayesian linear models for a large number of observations
Roxane Jouseau, Sébastien Salva, C. Samir - Jan. 2, 2025 - Lecture Notes in Artificial Intelligence
A New Metric for Measuring the Intrinsic Quality in Data Collected for Quantitative Classification
Tien Tam Tran, Ines Adouani, Chafik Samir - Jan. 1, 2025 - ESAIM: Mathematical Modelling and Numerical Analysis
Computing regularized splines in the Riemannian manifold of probability measures
Armel Soubeiga, Violaine Antoine, Alice Corteval, Nicolas Kerckhove, Sylvain Moreno, Issam Falih, Jules Phalip - Jan. 1, 2025 - Expert Systems with Applications
Clustering and Interpretation of time-series trajectories of chronic pain using evidential c-means
Toutes les publis se trouvent ici
Equipe
Responsables des thèmes
Thème Combinatorial optimization Thème Algorithmics, Graphs, Complexity Thème Team Metamodeling, Continuous Optimization and Applications (MOCA)- KOKO Jonas - Mail
- HILL David - Mail
- AH-PINE Julien
- BACHELET Bruno
- BAIOU Mourad
- BAY Xavier
- BEAUDOU Laurent
- BENDALI AMOR Fatiha
- BERGE Pierre
- BOURINET Jean Marc
- CHICOISNE Renaud
- COLARES BORGES Rafael
- FESCHET Fabien
- FOUCAUD Florent
- GERARD Yan
- HILL David
- KANTE Mamadou
- KERIVIN Hervé
- KOKO Jonas
- LAFOREST Christian
- LASSONDE Marc
- LIMOUZY Vincent
- MAILFERT Jean
- MAZEL Claude
- NGUYEN Viet Hung
- NOURINE Lhouari
- PASTOR Lucas
- RAYNAUD Olivier
- RULLIERE Didier
- SAMIR Chafik
- VIGNY Alexandre
- WAGLER Annegret
- YON Loïc
- ALHADIRI Moelevou
- APPRIOU Tanguy
- BERAUD-SUDREAU Guillaume
- BRUNEL Lucas
- CANCELLIERE Francesco
- CHAKRABORTY Dipayan
- CHARTRAIN Alexis
- DIRKS Jona
- GUIEN Valentin
- HU Yuankang
- KAIAL Victoria
- KHIZAR Muhammad Haseeb
- LEBESE Thabang Doreen
- LORIEAU Lucas
- MA Rui
- MEUNIER Anthony
- MUKHOPADHYAY Soumyodeep
- NGUYEN Chi Thao
- NGUYEN Thanh Loan
- QUINTIN Anthony
- RACHURI Anirudh Raghava
- SOUBEIGA Armel
- TAHERI KHORRAM ABADI Seyed Mohammad Javad
- TRAN THI THUY An