Publications (Scientific Output)

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Showing 1 - 15 of 219 results.


2020
Altaba M, Sanchez Fibla M, Torrents-Barrena J, Eixarch E, Gratacós E, González Ballester MA, Ceresa M. Virtual reality exploration for fetal surgery. International Journal of Computer Assisted Radiology and Surgery 2020; 15(Suppl. 1).
Barceló, Pablo; Dalmau, Víctor; Feier, Cristina; Lutz, Carsten; Pieris, Andeas. The Limits of efficiency for open-and closed-world query evaluation under guarded TGDs. arxiv.org 2020. Other resources
Bas-Serrano J, Neu G. Faster saddle-point optimization for solving large-scale Markov decision processes. En: AA. VV. Proceedings NeurIPS 2019 Optimization Foundations for Reinforcement Learning Workshop. 1 ed. University of Alberta. Google Brain; 2020.
Furelos-Blanco, Daniel; Law, Mark; Russo, Alessandra; Broda, Krysia; Jonsson, Anders. Induction of subgoal automata for reinforcement learning. arxiv.org 2020. Other resources
Gomez S, Sanchez Fibla M, Higueras Esteban A, Serra L, González Ballester MA, Ceresa M. Virtual reality exploration of SEEG placement for drug-resistant epilepsy planning. International Journal of Computer Assisted Radiology and Surgery 2020; 15(Suppl. 1).
Nunes, Cecília; Langet, Hélène; De Craene, Mathieu; Camara, Oscar; Bijnens, Bart; Jonsson, Anders. Decision tree learning for uncertain clinical measurements. IEEE Transactions on Knowledge and Data Engineering 2020; (16 january). Publication link Other resources
Serra, Joan; Álvarez, David; Gómez, Vicenç; Slizovskaia, Olga; Núñez, José F.; Luque, Jordi. Input complexity and out-of-distribution detection whith likelihood-based generative models. En: Proceedings of ICLR 2020 (International Conference on Learning Representations). 1 ed. 2020. Other resources
Thalmeier, Dominik; Kappen, Hilbert J.; Totaro, Simone; Gómez, Vicenç. Adaptive smoothing path integral control. En: AA. VV. Proceedings NeurIPS 2019 Optimization Foundations for Reinforcement Learning Workshop. 1 ed. University of Alberta. Google Brain; 2020. 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
2019
Agirre, Eneko; Jonsson, Anders; Larcher, Anthony. Framing lifelong learning as autonomous deployment: une once live forever. En: IWSDS 2019: International Workshop on Spoken Dialog System Technology. 1 ed. 2019. Other resources
Amarasinghe, Ishari; Hernández Leo, Davinia; Jonsson, Anders. Data-informed design parameters for adaptive collaborative scripting in across-spaces learning situations. User Modelling and User-Adapted Interaction 2019. Publication link e-Repositori
Barceló, Pablo; Baumgartner, Alexander; Dalmau, Victor; Kimelfeld, Benny. Regularizing conjunctive features for classification. En: ACM SACM SIGMOD/PODS International Conference on Management of Data. 1 ed. Association for Computing Machinery; 2019. p. 2-16. Other resources
Bas-Serrano, Joan; Neu, Gergely. Faster saddle-point optimization for solving large-scale Markov decision processes. arxiv.org 2019. Other resources

Showing 1 - 15 of 219 results.