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2020 – today
- 2024
[j4]Hugo De Oliveira
, Megumi Kaneko, Lila Boukhatem:
Federated Multiagent Deep Reinforcement Learning for Intelligent IoT Wireless Communications: Overview and Challenges. IEEE Veh. Technol. Mag. 19(4): 73-82 (2024)- [c3]Hugo De Oliveira, Megumi Kaneko, Lila Boukhatem:
Smart Band Association for Wireless IoT Networks: a Personalized Federated Multi-Agent Deep Reinforcement Learning Approach. VTC Fall 2024: 1-6 - 2023
- [j3]Hugo De Oliveira, Megumi Kaneko, Lila Boukhatem, Ellen Hidemi Fukuda:
Deep Reinforcement Learning-Aided Optimization of Multi-Interface Allocation for Short-Packet Communications. IEEE Trans. Cogn. Commun. Netw. 9(3): 738-753 (2023) - 2020
- [j2]Hugo De Oliveira, Vincent Augusto, Baptiste Jouaneton, Ludovic Lamarsalle, Martin Prodel, Xiaolan Xie:
Optimal process mining of timed event logs. Inf. Sci. 528: 58-78 (2020) - [j1]Hugo De Oliveira, Vincent Augusto, Baptiste Jouaneton, Ludovic Lamarsalle, Martin Prodel, Xiaolan Xie:
Automatic and Explainable Labeling of Medical Event Logs With Autoencoding. IEEE J. Biomed. Health Informatics 24(11): 3076-3084 (2020) - [c2]Hugo De Oliveira, Vincent Augusto, Baptiste Jouaneton, Ludovic Lamarsalle, Martin Prodel, Xiaolan Xie:
An optimization-based process mining approach for explainable classification of timed event logs. CASE 2020: 43-48
2010 – 2019
- 2018
- [c1]Hugo De Oliveira, Martin Prodel, Vincent Augusto:
Binary Classification on French Hospital Data: Benchmark of 7 Machine Learning Algorithms. SMC 2018: 1743-1748
Coauthor Index
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