Kazu Ghalamkari
NTN-C3: Nonnegative Tensor Networks – Identifying the Limits of Convexity, Gains of Complexity, and Merits of Certainty
Purpose: The drastic spread of machine learning techniques has made...
Samuel Matthiesen
Towards Uncertainty- and Geometry-aware Generative Models
Abstract: Representation learning aims to transform data to extract relevant...
Emil Michael Pedersen
Developing a Multi-trait liability model for gene discovery in large biobanks
Abstract: Modern biomedical and health science research leans heavily on...
Madeleine Wyburd
Towards Early Detection of Structural Biomarkers of Cerebral Palsy
Abstract: Cerebral Palsy (CP) is the most common motor...
Martin Rune Hassan Hansen
Improved detection of diabetes mellitus among African adults using machine learning
Purpose: The objective of the project is to develop risk...
Benjamin Skov Kaas-Hansen
BECAUSE-ICU: Better Trial Enrichment with Causal Evidence from Intensive Care Unit data
Purpose: BECAUSE-ICU will build the first iteration of a data...