Publications
2024 (1)Calo S.; Bistaffa F.; Jonsson A.; Gomez V.; Viana M.. Spatial air quality prediction in urban areas via message passing. Engineering Applications of Artificial Intelligence 2024; 133. |
2023 (4)Jonsson G.; Lindmae M.; Menet J.; Van Eck E.. "All eyes on me": the (in)formal barriers to market trade in Europe. International Journal of Urban and Regional Research 2023; 47(2): 221-236. |
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Furelos-Blanco D, Law M, Jonsson A, Broda K, Russo A. Hierarchies of Reward Machines. Proceedings of Machine Learning Research 2023; 202: 10494-10541. |
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Carrascosa-Zamacois M.; Galati-Giordano L.; Jonsson A.; Geraci G.; Bellalta B.. Performance and Coexistence Evaluation of IEEE 802.11be Multi-link Operation. Proceedings on IEEE Wireless Communications and Networking Conference 2023; 2023-March(0). |
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Carrascosa-Zamacois M, Geraci G, Galati-Giordano L, Jonsson A, Bellalta B. Understanding Multi-link Operation in Wi-Fi 7: Performance, Anomalies, and Solutions. Dins: -. IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC. 2023. |
2022 (5)Segovia-Aguas J.; Celorrio S.J.; Jonsson A.. Computing Programs for Generalized Planning as Heuristic Search (Extended Abstract). IJCAI: proceedings of the conference 2022; 0(0): 5334-5338. |
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Infante G.; Jonsson A.; Gomez V.. Globally Optimal Hierarchical Reinforcement Learning for Linearly-Solvable Markov Decision Processes. Dins: -. -. -; 2022. p. 6970-6977. |
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Breines M.; Dahinden J.; Jonsson G.; Lindmae M.; Madella M.; Menet J.; Schapendonk J.; Van Eck E.; Van Melik R.; Watson S.. Re-producing public space: the changing everyday production of outdoor retail markets. Urban Geography 2022; 43(6): 878-885. |
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Bernardino G.; Jonsson A.; Loncaric F.; Marti Castellote P.M.; Sitges M.; Clarysse P.; Duchateau N.. Reinforcement learning for active modality selection during diagnosis. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2022; 592-601. |
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Steccanella L, Jonsson A. State representation learning for goal-conditioned reinforcement learning. Dins: Amini MR, Canu S, Fischer A, Guns T, Kralj Novak P, Tsoumakas G (eds.). Machine Learning and Knowledge Discovery in Databases: European Conference (ECML PKDD 2022 ). Grenoble: Cham; Springer; 2022. p. 84-99. |
2021 (9)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 2021; (16 january). |
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Agirre E, Jonsson A, Larcher A. Framing lifelong learning as autonomous deployment: tune once live forever.. Lecture Notes in Electrical Engineering 2021; 331-336. |
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Segovia-Aguas J, Jimenez Celorrio S, Jonsson A. Generalized planning as heuristic search. Dins: Biundo S, Do M, Goldman R, Katz M, Yang Q, Zhuo HH. Proceedings of the Thirty-First International Conference on Automated Planning and Scheduling. Palo Alto, California: AAAI Press; 2021. p. 569-577. |
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Junyent M.; Gomez V.; Jonsson A.. Hierarchical width-based planning and learning. Proceedings International Conference on Automated Planning and Scheduling 2021; 519-527. |
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Furelos-Blanco D.; Law M.; Jonsson A.; Broda K.; Russo A.. Induction and exploitation of subgoal automata for reinforcement learning. Journal of Artificial Intelligence Research 2021; 70(0): 1031-1116. |
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Totaro S.; Boukas I.; Jonsson A.; Cornelusse B.. Lifelong control of off-grid microgrid with model-based reinforcement learning.. Energy 2021; (232). |
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Nikbakht R.; Jonsson A.; Lozano A.. Unsupervised Learning for C-RAN Power Control and Power Allocation. IEEE Wireless Communications Letters 2021; 25(3): 687-691. |
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Nikbakht R.; Jonsson A.; Lozano A.. Unsupervised Learning for Cellular Power Control. IEEE Wireless Communications Letters 2021; 25(3): 682-686. |
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Wilhelmi F.; Carrascosa M.; Cano C.; Jonsson A.; Ram V.; Bellalta B.. Usage of network simulators in machine-learning-assisted 5G/6G networks. IEEE Wireless Communications 2021; 28(1): 160-166. |
2020 (15)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. |