Disease Surveillance

Learning from Clinical Judgments: Semi-Markov-Modulated Marked Hawkes Processes for Risk Prognosis ICML 2017 Signal-based Bayesian Seismic Monitoring AISTATS 2017 Vector space models for evaluating semantic fluency in autism ACL 2017 Voice Disguise vs. Impersonation: Acoustic and Perceptual Measurements of Vocal Flexibility in Non Experts Interspeech 2017 Cost Effective Acoustic Monitoring of Bird Species Interspeech 2016 Efficient Multi-Instance Learning for Activity Recognition from Time Series Data Using an Auto-Regressive Hidden Markov Model ICML 2016 Extracting PICO Sentences from Clinical Trial Reports using Supervised Distant Supervision JMLR 2016 Neurophysiological Vocal Source Modeling for Biomarkers of Disease Interspeech 2016 Parkinson’s Disease Progression Assessment from Speech Using GMM-UBM Interspeech 2016 Towards Automatic Detection of Amyotrophic Lateral Sclerosis from Speech Acoustic and Articulatory Samples Interspeech 2016 Using Social Dynamics to Make Individual Predictions: Variational Inference with a Stochastic Kinetic Model NeurIPS 2016 Tight Bounds for Influence in Diffusion Networks and Application to Bond Percolation and Epidemiology NeurIPS 2014 Fast Generalized Subset Scan for Anomalous Pattern Detection JMLR 2013 Separating Fact from Fear: Tracking Flu Infections on Twitter NAACL 2013 Bayesian regularization of non-homogeneous dynamic Bayesian networks by globally coupling interaction parameters AISTATS 2012 Exact inference and learning for cumulative distribution functions on loopy graphs NeurIPS 2010 Global seismic monitoring as probabilistic inference NeurIPS 2010 In-Network PCA and Anomaly Detection NeurIPS 2006 What's Strange About Recent Events (WSARE): An Algorithm for the Early Detection of Disease Outbreaks JMLR 2005