Guillaume Bosc

Orcid: 0000-0003-2858-7926

According to our database1, Guillaume Bosc authored at least 13 papers between 2013 and 2019.

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

Timeline

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Links

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Bibliography

2019
Chemical features mining provides new descriptive structure-odor relationships.
PLoS Comput. Biol., 2019

2018
Anytime discovery of a diverse set of patterns with Monte Carlo tree search.
Data Min. Knowl. Discov., 2018

2017
Anytime discovery of a diverse set of patterns with Monte Carlo tree search. (Découverte d'un ensemble diversifié de motifs avec la recherche arborescente de Monte Carlo).
PhD thesis, 2017

A Pattern Mining Approach to Study Strategy Balance in RTS Games.
IEEE Trans. Comput. Intell. AI Games, 2017

A Proposition for Sequence Mining Using Pattern Structures.
Proceedings of the Formal Concept Analysis - 14th International Conference, 2017

Découverte de sous-groupes avec les arbres de recherche de Monte Carlo.
Proceedings of the 17ème Journées Francophones Extraction et Gestion des Connaissances, 2017

2016
Any-time Diverse Subgroup Discovery with Monte Carlo Tree Search.
CoRR, 2016

h(odor): Interactive Discovery of Hypotheses on the Structure-Odor Relationship in Neuroscience.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Local Subgroup Discovery for Eliciting and Understanding New Structure-Odor Relationships.
Proceedings of the Discovery Science - 19th International Conference, 2016

2015
Vers la découverte de modèles exceptionnels locaux : des règles descriptives liant les molécules à leurs odeurs.
Proceedings of the 15èmes Journées Francophones Extraction et Gestion des Connaissances, 2015

2014
Fouille de motifs séquentiels pour l'élicitation de stratégies à partir de traces d'interactions entre agents en compétition.
Proceedings of the 14èmes Journées Francophones Extraction et Gestion des Connaissances, 2014

Mining Balanced Sequential Patterns in RTS Games.
Proceedings of the ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic, 2014

2013
Strategic Patterns Discovery in RTS-games for E-Sport with Sequential Pattern Mining.
Proceedings of the 2nd Workshop on Machine Learning and Data Mining for Sports Analytics co-located with 2013 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2013), 2013


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