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.
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
Imprecisely Supervised Learning
Latent Class Discovery and Prediction
Disease Subtyping and Genomics
Composite Traits for Genetic Selection in Agriculture
High Performance Computing for Whole Genome Prediction
Brain-Computer Interface (BCI) Enabled Memory Training for Schizophrenia
LifeRhythm: A Framework for Automatic and Pervasive Depression Screening Using Smartphones
If you are interested in our research, please visit our website and it will answer all your questions.