Didier Villemin

According to our database1, Didier Villemin authored at least 18 papers between 1994 and 2017.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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On csauthors.net:

Bibliography

2017
Chemoinformatics and stereoisomerism: A stereo graph kernel together with three new extensions.
Pattern Recognit. Lett., 2017

2016
Taking into account stereoisomerism in the prediction of molecular properties.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Molecular modeling: Application of Support Vector Machines and Decision trees for anti-HIV activity prediction of organic compounds.
Proceedings of the 5th International Conference on Multimedia Computing and Systems, 2016

2015
Treelet kernel incorporating cyclic, stereo and inter pattern information in chemoinformatics.
Pattern Recognit., 2015

From Bags to Graphs of Stereo Subgraphs in Order to Predict Molecule'S Properties.
Proceedings of the Graph-Based Representations in Pattern Recognition, 2015

2014
Incorporating Molecule's Stereisomerism within the Machine Learning Framework.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2014

A Graph Kernel Incorporating Molecule's Stereisomerism Information.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Graph Kernel Encoding Substituents' Relative Positioning.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

2013
Noyau de Treelets appliqué aux graphes étiquetés et aux graphes de cycles.
Rev. d'Intelligence Artif., 2013

Treelet Kernel Incorporating Chiral Information.
Proceedings of the Graph-Based Representations in Pattern Recognition, 2013

Relevant Cycle Hypergraph Representation for Molecules.
Proceedings of the Graph-Based Representations in Pattern Recognition, 2013

2012
Two new graphs kernels in chemoinformatics.
Pattern Recognit. Lett., 2012

Graph Kernels: Crossing Information from Different Patterns Using Graph Edit Distance.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2012

Graph kernels based on relevant patterns and cycle information for chemoinformatics.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

2011
Two New Graph Kernels and Applications to Chemoinformatics.
Proceedings of the Graph-Based Representations in Pattern Recognition, 2011

2010
Symbolic Learning vs. Graph Kernels: An Experimental Comparison in a Chemical Application.
Proceedings of the Local Proceedings of the Fourteenth East-European Conference on Advances in Databases and Information Systems, 2010

2003
Neural Networks: Accurate Nonlinear QSAR Model for HEPT Derivatives.
J. Chem. Inf. Comput. Sci., 2003

1994
Predicting Carcinogenicity of Polycyclic Aromatic Hydrocarbons from Back-Propagation Neural Network.
J. Chem. Inf. Comput. Sci., 1994


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