| Optimal process mining of timed event logs H De Oliveira, V Augusto, B Jouaneton, L Lamarsalle, M Prodel, X Xie Information Sciences 528, 58-78, 2020 | 22 | 2020 |
| “Bow-tie” optimal pathway discovery analysis of sepsis hospital admissions using the Hospital Episode Statistics database in England H De Oliveira, M Prodel, L Lamarsalle, M Inada-Kim, K Ajayi, J Wilkins, ... JAMIA open 3 (3), 439-448, 2020 | 16 | 2020 |
| Binary classification on French hospital data: benchmark of 7 machine learning algorithms H De Oliveira, M Prodel, V Augusto 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2018 | 15 | 2018 |
| Automatic and explainable labeling of medical event logs with autoencoding H De Oliveira, V Augusto, B Jouaneton, L Lamarsalle, M Prodel, X Xie IEEE Journal of Biomedical and Health Informatics 24 (11), 3076-3084, 2020 | 12 | 2020 |
| An optimization-based process mining approach for explainable classification of timed event logs H De Oliveira, V Augusto, B Jouaneton, L Lamarsalle, M Prodel, X Xie 2020 IEEE 16th International Conference on Automation Science and …, 2020 | 5 | 2020 |
| Explaining predictive factors in patient pathways using autoencoders H De Oliveira, P Martin, L Ludovic, A Vincent, X Xiaolan Plos one 17 (11), e0277135, 2022 | 4 | 2022 |
| Predictive modeling of patient pathways using process mining and deep learning H De Oliveira Université de Lyon, 2020 | 3 | 2020 |
| Meta-TAK: a scalable double-clustering method for treatment sequence visualization H De Oliveira, A Batisse, J Beisel, M Laurent, M Prodel Machine Learning for Pharma and Healthcare Applications (PharML), 2020 | | 2020 |
Martin PRODELData Scientist, HEVA在 hevaweb.com 的电子邮件经过验证
Martin PRODELData Scientist, HEVA在 hevaweb.com 的电子邮件经过验证