Computational models for clinical drug response prediction: aligning transcriptomic data of patients and pre-clinical models

Less Machine (=) More Vision: Approaches towards Practical and Efficient Machine Vision with Applications in Face Analysis

Data-efficient learning of geometric structures from single-view images

Locality in space and time for data-efficient visual recognition

Mycobacterium tuberculosis genomics: The Next Generation

Single-cell Analysis from the perspective of how to Interact, Identify and Integrate cells

What does that gene do?: Gene function prediction by machine learning with applications to plants

Comparative genomics in the era of long-reads: An application on industrial yeasts

Predicting sequence variant deleteriousness in genomes of livestock species

Making sense of cancer mutations: Looking into the wilderness beyond genes

Methods for brain disease genetics using gene expression data of the healthy brain

Assumptions & Expectations in Semi-Supervised Machine Learning

Exponential Word Embeddings: Models and Approximate Learning

Computational analysis of copy number profiles of tumors

Capturing human behaviour through wearables by computational analysis of social dynamics

Towards Practical Active Learning for Classification

Molecular interactomes: Network-guided cancer prognosis prediction & multi-way chromatin interaction analysis

Automatic analysis of human social behavior in - the - wild using multimodal streams

Models for supervised learning in sequence data

On domain-adaptive machine learning