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Towards a Phylogenetic Measure to Quantify HIV Incidence.

, , , , , and . BNAIC/BENELEARN, volume 2491 of CEUR Workshop Proceedings, CEUR-WS.org, (2019)

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On realized serial and generation intervals given control measures: The COVID-19 pandemic case., , , , , and . PLoS Comput. Biol., (2021)Deep hybrid approach for 3D plane segmentation., , , and . ESANN, (2019)Bayesian Anytime m-top Exploration., , , , , and . ICTAI, page 1422-1428. IEEE, (2019)A Reinforcement Learning Framework for Studying Group and Individual Fairness., , , and . AAMAS, page 2216-2218. International Foundation for Autonomous Agents and Multiagent Systems / ACM, (2024)A Multi-objective Reinforcement Learning Algorithm for JSSP., , , , and . ICANN (1), volume 11727 of Lecture Notes in Computer Science, page 567-584. Springer, (2019)Efficient Evaluation of Influenza Mitigation Strategies Using Preventive Bandits., , , , , and . AAMAS Workshops (Visionary Papers), volume 10643 of Lecture Notes in Computer Science, page 67-85. Springer, (2017)Towards a Phylogenetic Measure to Quantify HIV Incidence., , , , , and . BNAIC/BENELEARN (Selected Papers), volume 1196 of Communications in Computer and Information Science, page 34-50. Springer, (2019)Evaluating COVID-19 vaccine allocation policies using Bayesian m-top exploration., , , , , and . CoRR, (2023)Thompson Sampling for m-top Exploration., , , , , and . BNAIC/BENELEARN, volume 2491 of CEUR Workshop Proceedings, CEUR-WS.org, (2019)Interactive Multi-objective Reinforcement Learning in Multi-armed Bandits with Gaussian Process Utility Models., , , , , and . ECML/PKDD (3), volume 12459 of Lecture Notes in Computer Science, page 463-478. Springer, (2020)