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Human-centric Dialog Training via Offline Reinforcement Learning

Oct 12, 2020
Natasha Jaques, Judy Hanwen Shen, Asma Ghandeharioun, Craig Ferguson, Agata Lapedriza, Noah Jones, Shixiang Shane Gu, Rosalind Picard

* To appear in EMNLP 2020 (long paper) 

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A Robotic Positive Psychology Coach to Improve College Students' Wellbeing

Sep 08, 2020
Sooyeon Jeong, Sharifa Alghowinem, Laura Aymerich-Franch, Kika Arias, Agata Lapedriza, Rosalind Picard, Hae Won Park, Cynthia Breazeal

* 8 pages, 5 figures, RO-MAN 2020, Best paper award 

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Dyadic Speech-based Affect Recognition using DAMI-P2C Parent-child Multimodal Interaction Dataset

Aug 20, 2020
Huili Chen, Yue Zhang, Felix Weninger, Rosalind Picard, Cynthia Breazeal, Hae Won Park

* Accepted by the 2020 International Conference on Multimodal Interaction (ICMI'20) 

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Hierarchical Reinforcement Learning for Open-Domain Dialog

Sep 18, 2019
Abdelrhman Saleh, Natasha Jaques, Asma Ghandeharioun, Judy Hanwen Shen, Rosalind Picard


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Pain Detection with fNIRS-Measured Brain Signals: A Personalized Machine Learning Approach Using the Wavelet Transform and Bayesian Hierarchical Modeling with Dirichlet Process Priors

Jul 30, 2019
Daniel Lopez-Martinez, Ke Peng, Arielle Lee, David Borsook, Rosalind Picard


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Detection of Real-world Driving-induced Affective State Using Physiological Signals and Multi-view Multi-task Machine Learning

Jul 19, 2019
Daniel Lopez-Martinez, Neska El-Haouij, Rosalind Picard

* Affective Computing and Intelligent Interaction Conference 2019 

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Way Off-Policy Batch Deep Reinforcement Learning of Implicit Human Preferences in Dialog

Jul 08, 2019
Natasha Jaques, Asma Ghandeharioun, Judy Hanwen Shen, Craig Ferguson, Agata Lapedriza, Noah Jones, Shixiang Gu, Rosalind Picard


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Approximating Interactive Human Evaluation with Self-Play for Open-Domain Dialog Systems

Jun 21, 2019
Asma Ghandeharioun, Judy Hanwen Shen, Natasha Jaques, Craig Ferguson, Noah Jones, Agata Lapedriza, Rosalind Picard


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Deep Reinforcement Learning for Optimal Critical Care Pain Management with Morphine using Dueling Double-Deep Q Networks

Apr 25, 2019
Daniel Lopez-Martinez, Patrick Eschenfeldt, Sassan Ostvar, Myles Ingram, Chin Hur, Rosalind Picard

* 2019 41st Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) 

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Learning via social awareness: Improving a deep generative sketching model with facial feedback

Aug 27, 2018
Natasha Jaques, Jennifer McCleary, Jesse Engel, David Ha, Fred Bertsch, Rosalind Picard, Douglas Eck


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Multi-task multiple kernel machines for personalized pain recognition from functional near-infrared spectroscopy brain signals

Aug 21, 2018
Daniel Lopez-Martinez, Ke Peng, Sarah C. Steele, Arielle J. Lee, David Borsook, Rosalind Picard

* International Conference on Pattern Recognition (ICPR) 

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Personalized Machine Learning for Robot Perception of Affect and Engagement in Autism Therapy

Jun 19, 2018
Ognjen Rudovic, Jaeryoung Lee, Miles Dai, Bjorn Schuller, Rosalind Picard

* The paper has undergone a major revision and its content is outdated 

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Physiological and behavioral profiling for nociceptive pain estimation using personalized multitask learning

Nov 10, 2017
Daniel Lopez-Martinez, Ognjen Rudovic, Rosalind Picard

* NIPS Machine Learning for Health 2017 

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Multi-task Neural Networks for Personalized Pain Recognition from Physiological Signals

Sep 04, 2017
Daniel Lopez-Martinez, Rosalind Picard

* 2017 Seventh International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW), 1st Workshop on Tools and Algorithms for Mental Health and Wellbeing, Pain, and Distress (MHWPD) 

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DeepFaceLIFT: Interpretable Personalized Models for Automatic Estimation of Self-Reported Pain

Aug 09, 2017
Dianbo Liu, Fengjiao Peng, Andrew Shea, Ognjen, Rudovic, Rosalind Picard


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Personalized Automatic Estimation of Self-reported Pain Intensity from Facial Expressions

Jun 24, 2017
Daniel Lopez Martinez, Ognjen Rudovic, Rosalind Picard

* Computer Vision and Pattern Recognition Conference, The 1st International Workshop on Deep Affective Learning and Context Modeling 

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