Browsing by author "Van Der Donckt, Jeroen"
Now showing items 1-8 of 8
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Advancing Time Series Data Analytics and Applied Machine Learning in Healthcare
Van Der Donckt, Jeroen (2023) -
Data analytics for health and connected care: Ontology, knowledge graph and applications
Steenwinckel, Bram; De Brouwer, Mathias; Stojchevska, Marija; Van Der Donckt, Jeroen; Nelis, Jelle; Ruyssinck, Joeri; van der Herten, Joachim; Casier, Koen; Van Ooteghem, Jan; Crombez, P.; De Turck, Filip; Van Hoecke, Sofie; Ongenae, Femke (2022) -
Deep Learning for Effective and Efficient Reduction of Large Adaptation Spaces in Self-adaptive Systems
Weyns, Danny; Gheibi, Omid; Quin, Federico; Van Der Donckt, Jeroen (2022) -
Do not sleep on traditional machine learning Simple and interpretable techniques are competitive to deep learning for sleep scoring
Van Der Donckt, Jeroen; Van Der Donckt, Jonas; Deprost, Emiel; Vandenbussche, Nicolas; Rademaker, Michael; Vandewiele, Gilles; Van Hoecke, Sofie (2023) -
Model-agnostic visual explanations via approximate bilinear models
Van Der Donckt, Jeroen; Van Der Donckt, Jonas; Rademaker, Michael; Van Hoecke, Sofie (2023) -
Plotly-Resampler: Effective Visual Analytics for Large Time Series
Van der Donckt, Jonas; Van der Donckt, Jeroen; Deprost, Emiel; Van Hoecke, Sofie (2022) -
Powershap: A Power-Full Shapley Feature Selection Method
Verhaeghe, Jarne; Van Der Donckt, Jeroen; Ongenae, Femke; Van Hoecke, Sofie (2023) -
tsflex: Flexible time series processing & feature extraction
Van der Donckt, Jonas; Van der Donckt, Jeroen; Deprost, Emiel; Van Hoecke, Sofie (2022)