M. Jeroen Van Der Donckt

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 16

Top Topics

Visual Analytics

Feature Selection

Top Venues

Biomed. Signal Process. Control.

ACM Trans. Auton. Adapt. Syst.

Publications

M. Jeroen Van Der Donckt, Jonas Van Der Donckt, Michaël Rademaker, Sofie Van Hoecke
MinMaxLTTB: Leveraging MinMax-Preselection to Scale LTTB. CoRR (2023)
M. Jeroen Van Der Donckt, Jonas Van Der Donckt, Sofie Van Hoecke
tsdownsample: high-performance time series downsampling for scalable visualization. CoRR (2023)
M. Jeroen Van Der Donckt, Jonas Van Der Donckt, Emiel Deprost, Nicolas Vandenbussche, Michaël Rademaker, Gilles Vandewiele, Sofie Van Hoecke
Do not sleep on traditional machine learning: Simple and interpretable techniques are competitive to deep learning for sleep scoring. Biomed. Signal Process. Control. 81 (2023)
Jonas Van Der Donckt, M. Jeroen Van Der Donckt, Michaël Rademaker, Sofie Van Hoecke
Data Point Selection for Line Chart Visualization: Methodological Assessment and Evidence-Based Guidelines. CoRR (2023)
Jonas Van Der Donckt, M. Jeroen Van Der Donckt, Emiel Deprost, Sofie Van Hoecke
tsflex: Flexible time series processing & feature extraction. SoftwareX 17 (2022)
M. Jeroen Van Der Donckt, Jonas Van Der Donckt, Emiel Deprost, Nicolas Vandenbussche, Michaël Rademaker, Gilles Vandewiele, Sofie Van Hoecke
Do Not Sleep on Linear Models: Simple and Interpretable Techniques Outperform Deep Learning for Sleep Scoring. CoRR (2022)
Jonas Van Der Donckt, M. Jeroen Van Der Donckt, Emiel Deprost, Sofie Van Hoecke
Plotly-Resampler: Effective Visual Analytics for Large Time Series. CoRR (2022)
Bram Steenwinckel, Mathias De Brouwer, Marija Stojchevska, M. Jeroen Van Der Donckt, Jelle Nelis, Joeri Ruyssinck, Joachim van der Herten, Koen Casier, Jan Van Ooteghem, Pieter Crombez, Filip De Turck, Sofie Van Hoecke, Femke Ongenae
Data Analytics for Health and Connected Care: Ontology, Knowledge Graph and Applications. PervasiveHealth (2022)
Jarne Verhaeghe, M. Jeroen Van Der Donckt, Femke Ongenae, Sofie Van Hoecke
Powershap: A Power-Full Shapley Feature Selection Method. ECML/PKDD (1) (2022)
Danny Weyns, Omid Gheibi, Federico Quin, M. Jeroen Van Der Donckt
Deep Learning for Effective and Efficient Reduction of Large Adaptation Spaces in Self-Adaptive Systems. CoRR (2022)
Danny Weyns, Omid Gheibi, Federico Quin, M. Jeroen Van Der Donckt
Deep Learning for Effective and Efficient Reduction of Large Adaptation Spaces in Self-adaptive Systems. ACM Trans. Auton. Adapt. Syst. 17 (2022)
Jarne Verhaeghe, M. Jeroen Van Der Donckt, Femke Ongenae, Sofie Van Hoecke
Powershap: A Power-full Shapley Feature Selection Method. CoRR (2022)
Jonas Van Der Donckt, M. Jeroen Van Der Donckt, Emiel Deprost, Sofie Van Hoecke
tsflex: flexible time series processing & feature extraction. CoRR (2021)
M. Jeroen Van Der Donckt, Danny Weyns, Federico Quin, Jonas Van Der Donckt, Sam Michiels
Applying deep learning to reduce large adaptation spaces of self-adaptive systems with multiple types of goals. SEAMS@ICSE (2020)
M. Jeroen Van Der Donckt, Danny Weyns, M. Usman Iftikhar, Sarpreet Singh Buttar
Effective Decision Making in Self-adaptive Systems Using Cost-Benefit Analysis at Runtime and Online Learning of Adaptation Spaces. ENASE (Selected Papers) (2018)
M. Jeroen Van Der Donckt, Danny Weyns, M. Usman Iftikhar, Ritesh Kumar Singh
Cost-Benefit Analysis at Runtime for Self-adaptive Systems Applied to an Internet of Things Application. ENASE (2018)