Publications

Showing 1 - 15 of 108 results.


2020
Nunes, Cecilia; Langet H; De Craene, M; Vanoverschelde, JL; Gerber, BLM; Camara Oscar; Jonsson, Anders; Bijnens, Bart. 622 Predicting post-intervention survival improvement in aortic stenosis through interpretable machine learning. European Heart Journal Cardiovascular Imaging 2020; 21(1): 329-330. Publication link Other resources
Wilhelmi, Francesc; Barrachina-Muñoz, Sergio; Bellalta, Boris; Cano, Cristina; Jonsson, Anders; Ram, Vishnu. A Flexible Machine-Learning-Aware Architecture for Future WLANs. IEEE Communications Magazine 2020; 58(3): 25-31. Publication link e-Repositori
Kaufmann, Emilie; Ménard, Pierre; Domingues,Darwiche; Jonsson, Anders; Leurent, Edouard; Valko, Michal. Adaptive Reward-Free Exploration. arxiv.org 2020; ( ): 1-21. Other resources
Nunes C, Langet H, De Craene M, Camara O, Bijnens B, Jonsson A. Decision tree learning for uncertain clinical measurements. IEEE Transactions on Knowledge and Data Engineering 2020; (16 january). Publication link Other resources
Ménard, Pierre; Domingues, Omar Darwiche; Jonsson, Anders; Kaufmann, Emilie; Leurent, Edouard; Valko, Michal. Fast active learning for pure exploration in reinforcement learning. arxiv.org 2020; ( ): 1-36. Other resources
Steccanella L, Totaro S, Allonsius D, Jonsson A. Hierarchical reinforcement learning for efficent exploration and transfer. Dins: AA. VV.. Proceedings ICML 2020 Workshop LifelongML Blind Submission. 1 ed. Openreview.net; 2020. p. 1-9.
Furelos-Blanco, Daniel; Law, Mark; Russo, Alessandra; Broda, Krysia; Jonsson, Anders. Induction of subgoal automata for reinforcement learning. arxiv.org 2020; ( ). Other resources
Furelos-Blanco D, Law,M, Russo A, Broda K, Jonsson A. Induction of Subgoal Automata for Reinforcement Learning.. Dins: AA. VV.. Proceedings AAAI 2020. 1 ed. Association for the Advancement of Artificial Intelligence; 2020. p. 3890-3897. Publication link
Totaro, Simone; Boukas, Ioannis; Jonsson, Anders; Cornélusse, Bertrand. Lifelong Control of Off-grid Microgrid with Model Based Reinforcement Learning. arxiv.org 2020; ( ): 1-14. Other resources
Jonsson, Anders; Kaufmann, Emilie; Ménard, Pierre; Domingues, Darwiche Omar; Leurent, Edouard; Valko, Michal. Planning in markov decision processes with gap-dependent sample complexity. arxiv.org 2020; ( ): 1-24. Other resources
Nikbakht R, Jonsson A, Lozano A. Unsupervised-Learning Power Allocation for the Cell-Free Downlink. Dins: AA. VV.. Proceedings 2020 IEEE International Conference on Communications Workshops (ICC Workshops). 1 ed. Dublin: IEEE; 2020. p. 1-5. Publication link e-Repositori
Wilhelmi, Francesc; Carrascosa, Marc; Cano, Cristina; Jonsson, Anders; Ram, Vishnu; Bellalta, Boris. Usage of Network Simulators in Machine-Learning-Assisted 5G/6G Networks. arxiv.org 2020; ( ): 1-7. Other resources
2019
Jiménez, Sergio; Segovia-Aguas, Javier; Jonsson, Anders. A review of generalized planning. Knowledge Engineering Review 2019; 34( ). Other resources

Showing 1 - 15 of 108 results.