1 citations · 1 across the 4 of their papers we have counts for
4 papers
Development and Design of FLKit: A Structured Onboarding Toolkit for Federated Learning in Health and Life Sciences
Ashkan Pirmani, Ilse Vermeulen, Goran Vinterhalter +7
Federated learning lets institutions train shared models without moving their data, which makes it a natural fit for health and life sciences research under strict privacy regulati…
An Algorithmic Pipeline for GDPR-Compliant Healthcare Data Anonymisation: Moving Toward Standardisation
Hamza Khan, Lore Menten, Liesbet M. Peeters
High-quality real-world data (RWD) is essential for healthcare but must be transformed to comply with the General Data Protection Regulation (GDPR). GDPRs broad definitions of quas…
Federated Block-Term Tensor Regression for decentralised data analysis in healthcare
Axel Faes, Ashkan Pirmani, Yves Moreau +1
Block-Term Tensor Regression (BTTR) has proven to be a powerful tool for modeling complex, high-dimensional data by leveraging multilinear relationships, making it particularly wel…
Measuring Approximate Functional Dependencies: a Comparative Study
Marcel Parciak, Sebastiaan Weytjens, Niel Hens +3
Approximate functional dependencies (AFDs) are functional dependencies (FDs) that "almost" hold in a relation. While various measures have been proposed to quantify the level to wh…