Scholar
Neo Christopher Chung
Google Scholar ID: sP-PW_MAAAAJ
University of Warsaw
Citations & Impact
Citations
1,618
H-index
16
i10-index
18
Publications
20
Co-authors
7
list available
Publications
Resume
Research Experience
- Currently working on: 1. Deep learning models for natural and medical images, 2. Interpretability and explainability of machine learning models, 3. Unsupervised learning and latent variable models to identify molecular signatures, 4. Statistical problems in -omics to better understand complex diseases.
Background
- Research interests include deep learning models for natural and medical images, interpretability and explainability of machine learning models, unsupervised learning and latent variable models to identify molecular signatures, statistical problems in -omics to better understand complex diseases.
