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'Meta-weighted Gaussian Process Experts for Personalized Forecasting of AD Cognitive Changes' Machine Learning for Healthcare Conference (ML4HC2019), August 2019. Rudovic, O., Utsumi, Y., Guerrero, R., Peterson, K., Rueckert, D., Picard, R. 'Deep Reinforcement Learning for Optimal Critical Care Pain Management with Morphine using Dueling Double-Deep Q Networks,' Engineering in Medicine and Biology (EMBC), July 2019. Lopez-Martinez, D., Eschenfeldt, P., Ostvar, S., Ingram, M., Hur, C., Picard, R. 'Detection of Real-world Driving-induced Affective State Using Physiological Signals and Multi-view Multi-task Machine Learning,' International Conference on Affective Computing and Intelligent Interaction (ACII) Workshop on Social & Emotion AI for Industry, September 2019. Lopez-Martinez, D., El-Haouij, N., Picard, R. 'Pain Detection with fNIRS-Measured Brain Signals: A Personalized Machine Learning Approach Using the Wavelet Transform and Bayesian Hierarchical Modeling with Dirichlet Process Priors,' International Conference on Affective Computing and Intelligent Interaction (ACII) Workshop on Recognition, Treatment and Management of Pain and Distress, September 2019. Lopez-Martinez, D., Peng, K., Lee, A., Borsook, D., Picard, R.

'Multi-modal Active Learning From Human Data: A Deep Reinforcement Learning Approach,' In 2019 International Conference on Multimodal Interaction (ICMI ’19), October 14–18, 2019, Suzhou, China. Rudovic, O., Zhang, M, Schuller, B., Picard, R. Zhang Y, Weninger F, Schuller B, Picard R 'Holistic Affect Recognition using PaNDA: Paralinguistic Non-metric Dimensional Analysis.' IEEE Transactions on Affective Computing, December 2019. Affective Computing Publications Before 2020, List Format For more recent publications, click here.

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