Semi-supervised multi-target prediction for analysis of screening data
Multi-task learning in the analysis of phenotypic data
Network embeddings for modeling polypharmacy and drug-drug interactions
Learning with Dual Heterogeneity: A Nonparametric Bayes Model
Multi-Task Learning with Gaussian Processes with Applications to Robot Inverse Dynamics
Transformative Machine Learning: Explicit is Better than Implicit
Groundwater Modeling with Machine Learning Techniques: Ljubljana Polje Aquifer
From Micro to Macro: Data Driven Phenotyping by Densification of Longitudinal Electronic Medical Records
Statistical Learning Theory and Applications
30.6 Plant Sensory Systems and Responses