The X Machine Learning (XML) group develops machine learning and deep learning algorithms for solving problems involving data with special structure, with an emphasis on healthcare informatics and bioinformatics.
Research Area
Deep Learning
Generative adversarial networks
Graph convolutional networks
Deep Adversarial Domain Mapping
Deep Learning for Depression Detection using Smartphones and Wearable Devices
DeepChem: Drug Discovery and Molecule Representation
Machine Learning
Imprecisely Supervised Learning
Latent Class Discovery and Prediction
Bioinformatics
Disease Subtyping and Genomics
Composite Traits for Genetic Selection in Agriculture
High Performance Computing for Whole Genome Prediction
Brain Science
Brain-Computer Interface (BCI) Enabled Memory Training for Schizophrenia
LifeRhythm: A Framework for Automatic and Pervasive Depression Screening Using Smartphones
Links
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