Integrating machine learning into item response theory for addressing the cold start problem in adaptive learning systems KU Leuven
Designing constructive machine learning models based on generalized linear learning techniques KU Leuven
Learning About Machine Learning to Create a Self-Driving Echocardiographic Laboratory: Technical Considerations KU Leuven
Machine learning for crop production forecasting from time series of low resolution satellite imagery KU Leuven
Comparing Heuristic and Machine Learning Approaches for Metric-Based Code Smell Detection Vrije Universiteit Brussel
Privacy as Protection of the Incomputable Self: From Agnostic to Agonistic Machine Learning Vrije Universiteit Brussel
This Article takes the perspective of law and philosophy, integrating insights from computer science. First, I will argue that in the era of big data analytics we need an understanding of privacy that is capable of protecting what is uncountable, incalculable or incomputable about individual persons. To instigate this new dimension of the right to privacy, I expand previous work on the relational nature of privacy, and the productive ...