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English

BAYESIAN NONPARAMETRIC MODELING OF NETWORK DATA

Daniele Durante

Stochastic modeling of road-induced loads for reliability assessment of chassis and vehicle components through simulation

William Fauriat

Hardware spiking neural network and remote FPGA lab

Cawley, Seamus

Machine Learning in Engineering Applications

Giorgio Davanzo

Model-based problem solving through symbolic regression via pareto genetic programming

Vladislavleva, E.

Evolution of differential models for concrete complex systems through genetic programming

Igor Santos Peretta

Contributions to polynomial interpolation in one and several variables

PHUNG VAN MANH Thesis slides

Phenotypic prediction and variable selection in high dimensional linear and linear mixed models

Florian Rohart

Evolutionary Algorithms in Artificial Intelligence : A Comparative Study Through Applications

David John Nettleton

Statistical learning approaches for global optimization

Emile Contal

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