Maxime Gasse
Former LIRIS member since: 2017-01-31
| Quality | PhD student |
| Team(s) | DM2L |
| Institution | Université Claude Bernard Lyon 1 |
| Thesis | Statistical learning of Bayesian networks applied to process control in the semiconductor industry (click to view details) |
Publications (IdHAL : mgasse)
Publications LIRIS pour Maxime Gasse (7)
- 2018 (1)
- Journals (1)
- International journals with peer review (1)
- Denis Lecoeuche, Alex Aussem & Maxime Gasse (2018). "On the use of binary stochastic autoencoders for multi-label classification under the zero-one loss". Procedia Computer Science, vol. 144, pp. 71-80. doi : 10.1016/j.procs.2018.10.506. HAL : hal-02042711.
- 2016 (2)
- Conferences (2)
- International conferences with peer review (2)
- Maxime Gasse & Alex Aussem (2016). "Identifying the irreducible disjoint factors of a multivariate probability distribution.". Probabilistic Graphical Models, 9 septembre 2016, Lugano (Switzerland), pp. 183-194. HAL : hal-01425447.
. - Maxime Gasse & Alex Aussem (2016). "F-Measure Maximization in Multi-Label Classification with Conditionally Independent Label Subsets". European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 23 septembre 2016, Riva del garda (Italy), pp. 619-631. doi : 10.1007/978-3-319-46128-1_39. HAL : hal-01425528. .
- 2015 (1)
- Conferences (1)
- International conferences with peer review (1)
- Maxime Gasse, Alex Aussem & Haytham Elghazel (2015). "On the Optimality of Multi-Label Classification under Subset Zero-One Loss for Distributions Satisfying the Composition Property". International Conference on Machine Learning, 11 juillet 2015, Lille (France), pp. 2531-2539. HAL : hal-01234346. .
- 2014 (2)
- Journals (1)
- International journals with peer review (1)
- Maxime Gasse, Alex Aussem & Haytham Elghazel (2014). "A hybrid algorithm for Bayesian network structure learning with application to multi-label learning". Expert Systems with Applications, vol. 41, #15, pp. 6755-6772. doi : 10.1016/j.eswa.2014.04.032. ArXiv : 1506.05692. HAL : hal-01153255. .
- Conferences (1)
- International conferences with peer review (1)
- Alex Aussem, Pascal Caillet, Sarah Klemm, Maxime Gasse, Anne-Marie Schott & Michel Ducher (2014). "Analysis of risk factors of hip fracture with causal Bayesian networks". International Work-Conference on Bioinformatics and Biomedical Engineering, 7 avril 2014, Grenade (Spain), pp. 1074-1085. HAL : hal-01326485.
- 2012 (1)
- Journals (1)
- International journals with peer review (1)
- Maxime Gasse, Alex Aussem & Haytham Elghazel (2012). "An Experimental Comparison of Hybrid Algorithms for Bayesian Network Structure Learning". Lecture Notes in Computer Science, vol. 7523, pp. 58-73. doi : 10.1007/978-3-642-33460-3_9. ArXiv : 1505.05004. HAL : hal-01122771. .