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Using Adaptive Bandit Experiments to Increase and Investigate Engagement in Mental Health.

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Другие публикации лиц с тем же именем

Adaptive learning algorithms to optimize mobile applications for behavioral health: guidelines for design decisions., , , , , , , , и . J. Am. Medical Informatics Assoc., 28 (6): 1225-1234 (2021)Using Adaptive Bandit Experiments to Increase and Investigate Engagement in Mental Health., , , , , , , , , и 4 other автор(ы). AAAI, стр. 22906-22912. AAAI Press, (2024)Challenges and opportunities of using reinforcement learning to optimize behavioral health interventions delivered via smartphones., , , , , , , , и . AMIA, AMIA, (2020)Artificial Intelligence-based Decision Support Systems for Precision and Digital Health., и . CoRR, (2024)Multi-disciplinary fairness considerations in machine learning for clinical trials., , , , , и . FAccT, стр. 906-924. ACM, (2022)Using Adaptive Bandit Experiments to Increase and Investigate Engagement in Mental Health., , , , , , , , , и 4 other автор(ы). CoRR, (2023)Thompson sampling for zero-inflated count outcomes with an application to the Drink Less mobile health study., , , , и . CoRR, (2023)