Cédric Simon
Université catholique de Louvain
8 Papers
173 Citations
Cédric Simon is an academic researcher from Université catholique de Louvain. The author has contributed to research in topics: Decision tree & Classifier (UML). The author has an hindex of 4, co-authored 8 publications. Previous affiliations of Cédric Simon include University of Valencia.
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Papers
The human blastocyst regulates endometrial epithelial apoptosis in embryonic adhesion.
A. Galán,José-Enrique O'Connor,Diana Valbuena,R. Herrer,José Remohí,S. Pampfer,Antonio Pellicer,Cédric Simon +7 more
TL;DR: A co-ordinated embryonic regulation of hEEC apoptosis is reported, which suggests the Fas/Fas-L death system may be an important mechanism to cross the epithelial barrier, which is crucial for embryonic adhesion, and the manipulation of this system could have potential clinical implications as an interceptive mechanism.
Visual event recognition using decision trees
TL;DR: A classifier-based approach to recognize dynamic events in video surveillance sequences that can be used without relying on a long-term explicit tracking procedure and wants this classifier to discover the temporal and causal correlations between the most discriminative patterns.
25
Thermal anomalies and the insulator–metal (I–M) transition in Mn3+/Mn4+ perovskites
Jiri Hejtmanek,Z. Jirák,S. Krupička,C. Martin,Cédric Simon,A. Maignan,B. Raveau,E. Grivei,Jp. Issi +8 more
TL;DR: In this paper, a comparative study of two ferromagnets (Pr0.7Sr0.1Ca0.2MnO3 and Pr0.85K0.15MnNO3) is performed, showing that the properties of perovskite manganites are critically influenced by a strong phonon-electron coupling arising from a Jahn-Teller splitting of e(g) orbitals of the Mn3+ ion and the local lattice effects due to size mismatch of the large cations.
16
Using Decision Trees for Knowledge-Assisted Topologically Structured Data Analysis
Cédric Simon,Jerome Meessen,D. Tzovaras,C. De Vleeschouwer +3 more
- 06 Jun 2007
TL;DR: The proposed knowledge- assisted tree induction mechanism efficiently compensates for the shortage of the training samples, and significantly improves the tree classifier accuracy in such scenarios.
8
•Proceedings Article
Embedding proximal support vectors into randomized trees
Cédric Simon,Christophe De Vleeschouwer +1 more
- 01 Jan 2009
TL;DR: This paper proposes to deploy an ensemble of randomized trees, instead of a single optimized decision tree, to bypass the question of overlay classes definition, which relaxes the class partitioning question for each individual tree, and results in more robust decisions for the ensemble of trees.
4