BDI Seminar - Interpretable Machine Learning with Tensor Models for Healthcare
Dr Haiping Lu, Lecturer in Machine Learning, Department of Computer Science, the University of Sheffield
Monday, 01 April 2019, 12.30pm to 1.30pm
Seminar room 1, BDI, Old Road Campus, OX3 7LF
Big, multidimensional data such as brain/heart MRI is expected to transform healthcare. However, such data poses great challenges, particularly the need for interpretation and very high dimensionality accompanied by a relatively small sample size. Deep learning models are powerful but inadequate to address these problems, due to their opaque and data-hungry nature. This talk will present tensor-based machine learning models for extracting/selecting compact, interpretable features directly from tensor representations of multidimensional data. I will show their applications in prediction and interpretation of brain fMRI for neural decoding and cardiac MRI for disease diagnosis. Finally, I will discuss some ongoing and future research works on interpretable machine learning, transfer learning, and network embedding.