Doctoral project Dirk Deschrijver

Deep Learning on Time Series Data for Health Care

Doctoral project Aren Maes

Explainable Machine Learning Models for Time Series Data

Predictive Models of Time Series Data in Health Care

Quantifying Uncertainty and Improving Reliability of Time-Series Based Deep Learning Models

Time-Series-Based Forecasting of Biomanufacturing Processes

Bayesian Active Learning for Modeling and Optimization of Microwave Devices

Doctoral project Anthony Andrea Faustine

Doctoral project Kyle Powers Foss

Doctoral project Nicolas Knudde

Doctoral project Prashant Singh

Doctoral project Rémi Delanghe

Doctoral project Roberto Medico

Doctoral project Tom Van Steenkiste

Automated Patient Trajectory Prediction of Atrial Fibrillation and other Heart Arrhythmias using Machine Learning on the Standard 12-Lead ECG.

Machine Learning-based solutions for the prediction of acute COPD exacerbations

Machine Learning for predictive modeling in health care

Robuste techniques for multivariate surrogate modeling