MAAD research Department : Models and Algorithms to support Decision making

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

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