Digital Technologies for Clinical, Public and Global Health Surveillance
Imputing Fine-grain Patterns of Mental Health with Statistical Modelling of Online Data
Lexical and Acoustic Correlates of Clinical Speech Disturbance in Schizo-phrenia.-A Prognostic Tool to Identify Youth at Risk of at Least Weekly Cannabis Use
Neuro-symbolic Neurodegenerative Disease Modeling as Probabilistic Pro-grammed Deep Kernels.-Self-Disclosure in Opioid Use Recovery Forums
Identifying Prepubertal Children with Risk for Suicide Using Deep Neural Network Trained on Multimodal Brain Imaging
Improving Adverse Drug Event Extraction with SpanBERT on Different Text Typologies
Machine Learning Identification of Self-Reported COVID-19 Symptoms from Tweets in Canada
RRISK: Analyzing COVID-19 Risk in Food Establishments
AWS CORD-19 Search: A Neural Search Engine for COVID-19 Literature
Inferring COVID-19 Biological Pathways from Clinical Phenotypes via Topological Analysis
The EpiBench Platform to Propel AI/ML-based Epidemic Forecasting: A Prototype Demonstration Reaching Human Expert-level Performance
Interpretable Classification of Human Exercise Videos through Pose Esti-mation and Multivariate Time Series Analysis
Interpreting Deep Neural Networks for Medical Imaging using Concept Graphs
Do Deep Neural Networks Forget Facial Action Units?
Exploring the Ef-fects of Transfer Learning in Health Related Facial Expression Recognition
Utilizing Predictive Analysis to Aid Emergency Medical Services
Measuring Physiological Markers of Stress During Conversational Agent Interactions
EvSys: A Relational Dynamic System for Sparse Irregular Clinical Events
Predicting Patient Outcomes with Graph Representation Learning
Patient-Specific Seizure Prediction Using Single Seizure Electroenceph-alography Recording
Evaluation Metrics for Deep Learning Imputation Models
Logistic Regression Is Also A Black Box. Machine Learning Can Help.