Profil

Begon Jean-Michel

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Main Referenced Co-authors
Geurts, Pierre  (6)
Hoyoux, Renaud  (2)
Huynh-Thu, Vân Anh  (2)
Joly, Arnaud  (2)
Marée, Raphaël  (2)
Main Referenced Keywords
big data (2); Compression (2); Deep learning (2); Machine learning (2); machine learning (2);
Main Referenced Unit & Research Centers
Montefiore Institute - Montefiore Institute of Electrical Engineering and Computer Science - ULiège [BE] (2)
Systems and Modeling (1)
Main Referenced Disciplines
Computer science (10)
Earth sciences & physical geography (1)

Publications (total 11)

The most downloaded
511 downloads
Mormont, R., Begon, J.-M., Hoyoux, R., & Marée, R. (12 September 2016). SLDC: an open-source workflow for object detection in multi-gigapixel images [Paper presentation]. The 25th Belgian-Dutch Conference on Machine Learning (Benelearn), Kortrijk, Belgium. https://hdl.handle.net/2268/202624

The most cited

127 citations (Scopus®)

Marée, R., Rollus, L., Stévens, B., Hoyoux, R., Louppe, G., Vandaele, R., Begon, J.-M., Kainz, P., Geurts, P., & Wehenkel, L. (2016). Collaborative analysis of multi-gigapixel imaging data using Cytomine. Bioinformatics, 7. doi:10.1093/bioinformatics/btw013 https://hdl.handle.net/2268/191278

Begon, J.-M. (2021). Supervised machine learning under constraints [Doctoral thesis, ULiège - Université de Liège]. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/264493

Begon, J.-M., & Geurts, P. (2021). Sample-Free White-Box Out-of-Distribution Detection for Deep Learning. IEEE Conference on Computer Vision and Pattern Recognition. Proceedings. doi:10.1109/CVPRW53098.2021.00367
Peer reviewed

Vecoven, N., Begon, J.-M., Sutera, A., Geurts, P., & Huynh-Thu, V. A. (2020). Nets versus trees for feature ranking and gene network inference. In Proceeding of the 23rd International Conference on Discovery Science (DS 2020). Springer. doi:10.1007/978-3-030-61527-7_16
Peer reviewed

Vecoven, N., Begon, J.-M., Huynh-Thu, V. A., & Geurts, P. (2017). Nets versus trees for feature ranking and gene network inference. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/231719.

Begon, J.-M. (2017). A random walk in Machine Learning [Paper presentation]. Geeks anonymes, Liège, Belgium.

Begon, J.-M., Joly, A., & Geurts, P. (2017). Globally Induced Forest: A Prepruning Compression Scheme. Proceedings of Machine Learning Research, 70, 420-428.
Peer Reviewed verified by ORBi

Mormont, R., Begon, J.-M., Hoyoux, R., & Marée, R. (12 September 2016). SLDC: an open-source workflow for object detection in multi-gigapixel images [Paper presentation]. The 25th Belgian-Dutch Conference on Machine Learning (Benelearn), Kortrijk, Belgium.

Begon, J.-M., Joly, A., & Geurts, P. (12 September 2016). Joint learning and pruning of decision forests [Paper presentation]. The 25th Belgian-Dutch Conference on Machine Learning (Benelearn), Kortrijk, Belgium.

Marée, R., Rollus, L., Stévens, B., Hoyoux, R., Louppe, G., Vandaele, R., Begon, J.-M., Kainz, P., Geurts, P., & Wehenkel, L. (2016). Collaborative analysis of multi-gigapixel imaging data using Cytomine. Bioinformatics, 7. doi:10.1093/bioinformatics/btw013
Peer Reviewed verified by ORBi

Begon, J.-M. (2014). Generic image classification: random and convolutional approaches [Master’s dissertation, ULiège - Université de Liège]. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/191570

Begon, J.-M. (2011). Prototypage d'un serveur de données géographiques maillées: Rasdaman [Master’s dissertation, ULiège - Université de Liège]. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/197483

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