R. Picard

Latest

• Human-Centric Dialog Training via Offline Reinforcement Learning
• Approximating Interactive Human Evaluation with Self-Play for Open-Domain Dialog Systems
• Automatic Triage and Analysis of Online Suicide Risk with Document Embeddings and Latent Dirichlet Allocation
• Hierarchical Reinforcement Learning for Open-Domain Dialog
• Learning via Social Awareness: Improving a Deep Generative Sketching Model with Facial Feedback
• Vomit Comet Physiology: Autonomic Changes in Novice Flyers
• Importance of Sleep Data in Predicting Next-Day Stress, Happiness, and Health in College Students
• Multimodal Autoencoder: A Deep Learning Approach to Filling in Missing Sensor Data and Enabling Better Mood Prediction
• Personalized Multitask Learning for Predicting Tomorrow's Mood, Stress, and Health
• Predicting Tomorrow’s Mood, Health, and Stress Level using Personalized Multitask Learning and Domain Adaptation
• BITxBIT: Encouraging Behavior Change with N=2 Experiments
• Machine Learning of Sleep and Wake Behaviors to Classify Self-Reported Evening Mood
• Active learning for Electrodermal Activity classification
• Automatic identification of artifacts in Electrodermal Activity data
• Multi-task Multi-Kernel Learning for Estimating Individual Wellbeing
• Predicting students' happiness from physiology, phone, mobility, and behavioral data
• Prediction of happy-sad mood from daily behaviors and previous sleep history
• Recognizing academic performance, sleep quality, stress level, and mental health using personality traits, wearable sensors and mobile phones
• SmileTracker: Automatically and Unobtrusively Recording Smiles and their Context.