Romain Mathonat
PhD student
| Team(s) | DM2L |
| Institution | Institut National des Sciences Appliquées de Lyon |
| Location | Blaise Pascal (INSA) |
| romain.mathonat at liris.cnrs.fr | |
Thesis
Thesis subject: Méthodes et outil de valorisation de flux de données collectés pour la supervision de systèmes industriels (click to view details)
Publications
Publications LIRIS pour Romain Mathonat (6)
- 2020 (4)
- Journals (1)
- International journals with peer review (1)
- Romain Mathonat, Diana Nurbakova, Jean-François Boulicaut & Mehdi Kaytoue (2020). "Anytime mining of sequential discriminative patterns in labeled sequences". Knowledge and Information Systems (KAIS), pp. 439-476. doi : 10.1007/s10115-020-01523-7. HAL : hal-03000696.
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- Conferences (2)
- International conferences with peer review (2)
- Romain Mathonat, Jean-François Boulicaut & Mehdi Kaytoue (2020). "A Behavioral Pattern Mining Approach to Model Player Skills in Rocket League". IEEE Conference on Games 2020, 24 août 2020, Online (Japan), pp. 267-274. HAL : hal-02921566. .
- Alexandre Millot, Romain Mathonat, Rémy Cazabet & Jean-François Boulicaut (2020). "Actionable Subgroup Discovery and Urban Farm Optimization". International Symposium on Intelligent Data Analysis (IDA), 29 avril 2020, Konstanz (Germany), pp. 339-351. HAL : hal-02483314. .
- HDR, thesis (1)
- Thesis (1)
- Romain Mathonat (2020). "Rule Discovery in Labeled Sequential Data: Application to Game Analytics". HAL : tel-02970006. .
- 2019 (2)
- Conferences (2)
- International conferences with peer review (1)
- Romain Mathonat, Diana Nurbakova, Jean-François Boulicaut & Mehdi Kaytoue (2019). "SeqScout: Using a Bandit Model to Discover Interesting Subgroups in Labeled Sequences". IEEE International Conference on Data Science and Advanced Analytics (DSAA), 5 octobre 2019, Washington (United States of America), pp. 81-90. HAL : hal-02282082. .
- National conferences with peer review (1)
- Romain Mathonat, Jean-François Boulicaut & Mehdi Kaytoue (2019). "Découverte de sous-groupes à partir de données séquentielles par échantillonnage et optimisation locale". Extraction et Gestion des Connaissances, 25 janvier 2019, Metz (France), pp. 153-164. HAL : hal-02278857. .