Bertrand Cuissart
Orcid: 0000-0003-4964-5427
According to our database1,
Bertrand Cuissart
authored at least 19 papers
between 2001 and 2024.
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Bibliography
2024
Data Min. Knowl. Discov., July, 2024
2023
Towards a partial order graph for interactive pharmacophore exploration: extraction of pharmacophores activity delta.
J. Cheminformatics, December, 2023
Wave Top-k Random-d Family Search: How to Guide an Expert in a Structured Pattern Space.
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2023
Wave k-Top d-Random Family Search : comment guider un expert dans un espace structuré.
Proceedings of the Extraction et Gestion des Connaissances, 2023
2022
J. Chem. Inf. Model., 2022
Proceedings of the 2022 IEEE International Conference on Smart Computing, 2022
Proceedings of the Advances in Intelligent Data Analysis XX, 2022
Proceedings of the Extraction et Gestion des Connaissances, 2022
2015
Discovering Structural Alerts for Mutagenicity Using Stable Emerging Molecular Patterns.
J. Chem. Inf. Model., 2015
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015
Automatic Symptom Extraction from Texts to Enhance Knowledge Discovery on Rare Diseases.
Proceedings of the Artificial Intelligence in Medicine, 2015
2013
Emerging Patterns as Structural Alerts for Computational Toxicology.
Proceedings of the Contrast Data Mining: Concepts, Algorithms, and Applications, 2013
2011
Extracting and summarizing the frequent emerging graph patterns from a dataset of graphs.
J. Intell. Inf. Syst., 2011
2010
Introduction of Jumping Fragments in Combination with QSARs for the Assessment of Classification in Ecotoxicology.
J. Chem. Inf. Model., 2010
Proceedings of the Conceptual Structures: From Information to Intelligence, 2010
2009
Proceedings of the Foundations of Intelligent Systems, 18th International Symposium, 2009
2005
A Direct Algorithm to Find a Largest Common Connected Induced Subgraph of Two Graphs.
Proceedings of the Graph-Based Representations in Pattern Recognition, 2005
2002
The Maximum Common Substructure as a Molecular Depiction in a Supervised Classification Context: Experiments in Quantitative Structure/Biodegradability Relationships.
J. Chem. Inf. Comput. Sci., 2002
2001
Prédiction de la biodégradabilité des composés chimiques : un apport des méthodes d'arbre de décision.
Proceedings of the Extraction et gestion des connaissances (EGC'2001), 2001