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8 papers · 1 filter
From Shallow to Deep Interactions Between Knowledge Representation, Reasoning and Machine Learning (Kay R. Amel group)
Zied Bouraoui, Antoine Cornuéjols, Thierry Denœux +9
This paper proposes a tentative and original survey of meeting points between Knowledge Representation and Reasoning (KRR) and Machine Learning (ML), two areas which have been deve…
In vitro histomechanical effects of enzymatic degradation in carotid arteries during inflation tests with pulsatile loading
Olfa Trabelsi, Virginie Dumas, Edouard Breysse +2
In this paper, the objective is to assess the histomechanical effects of collagen proteolysis in arteries under loading conditions reproducing in vivo environment. Thirteen segment…
Bayesian stochastic multi-scale analysis via energy considerations
M. S. Sarfaraz, B. Rosic, H. G. Matthies +1
In this paper physical multi-scale processes governed by their own principles for evolution or equilibrium on each scale are coupled by matching the stored and dissipated energy, i…
Divinylglycol, a Glycerol-Based Monomer: Valorization, Properties, and Applications
Lea Bonnot, Christophe Len, Etienne Grau +1
In the context of the development of bio-refineries, glycerol and its derivatives are co-products of the oleochemistry for which new valorization routes must be found. In this stud…
Self-Calibration Methods for Uncontrolled Environments in Sensor Networks: A Reference Survey
Jose M. Barcelo-Ordinas, Messaud Doudou, Jorge Garcia-Vidal +1
Growing progress in sensor technology has constantly expanded the number and range of low-cost, small, and portable sensors on the market, increasing the number and type of physica…
When topological derivatives met regularized Gauss-Newton iterations in holographic 3D imaging
A. Carpio, T. G. Dimiduk, F. Le Louer +1
We propose an automatic algorithm for 3D inverse electromagnetic scattering based on the combination of topological derivatives and regularized Gauss-Newton iterations. The algorit…