M. Jeroen Van Der Donckt

According to our database, M. Jeroen Van Der Donckt authored at least 16 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

tsdownsample: High-performance time series downsampling for scalable visualization.

Jeroen Van Der Donckt, Jonas Van Der Donckt, Sofie Van Hoecke

SoftwareX, 2025

2024

Addressing Data Quality Challenges in Observational Ambulatory Studies: Analysis, Methodologies and Practical Solutions for Wrist-worn Wearable Monitoring.

Jonas Van Der Donckt, Nicolas Vandenbussche, Jeroen Van Der Donckt, Stephanie Chen, Marija Stojchevska, Mathias De Brouwer, Bram Steenwinckel, Koen Paemeleire, Femke Ongenae, Sofie Van Hoecke

CoRR, 2024

Magnitude and Rotation Invariant Detection of Transportation Modes with Missing Data Modalities.

Jeroen Van Der Donckt, Jonas Van Der Donckt, Sofie Van Hoecke

Proceedings of the Companion of the 2024 on ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2024

Left-Right Swapping and Upper-Lower Limb Pairing for Robust Multi-Wearable Workout Activity Detection.

Jonas Van Der Donckt, Jeroen Van Der Donckt, Sofie Van Hoecke

Proceedings of the Companion of the 2024 on ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2024

2023

Do not sleep on traditional machine learning: Simple and interpretable techniques are competitive to deep learning for sleep scoring.

M. Jeroen Van Der Donckt, Jonas Van Der Donckt, Emiel Deprost, Nicolas Vandenbussche, Michaël Rademaker, Gilles Vandewiele, Sofie Van Hoecke

Biomed. Signal Process. Control., March, 2023

Data Point Selection for Line Chart Visualization: Methodological Assessment and Evidence-Based Guidelines.

Jonas Van Der Donckt, M. Jeroen Van Der Donckt, Michaël Rademaker, Sofie Van Hoecke

CoRR, 2023

MinMaxLTTB: Leveraging MinMax-Preselection to Scale LTTB.

Jeroen Van Der Donckt, Jonas Van Der Donckt, Michaël Rademaker, Sofie Van Hoecke

Proceedings of the 2023 IEEE Visualization and Visual Analytics (VIS), 2023

2022

Deep Learning for Effective and Efficient Reduction of Large Adaptation Spaces in Self-adaptive Systems.

Danny Weyns, Omid Gheibi, Federico Quin, M. Jeroen Van Der Donckt

ACM Trans. Auton. Adapt. Syst., 2022

tsflex: Flexible time series processing & feature extraction.

Jonas Van Der Donckt, M. Jeroen Van Der Donckt, Emiel Deprost, Sofie Van Hoecke

SoftwareX, 2022

Do Not Sleep on Linear Models: Simple and Interpretable Techniques Outperform Deep Learning for Sleep Scoring.

M. Jeroen Van Der Donckt, Jonas Van Der Donckt, Emiel Deprost, Nicolas Vandenbussche, Michaël Rademaker, Gilles Vandewiele, Sofie Van Hoecke

CoRR, 2022

Plotly-Resampler: Effective Visual Analytics for Large Time Series.

Jonas Van Der Donckt, Jeroen Van Der Donckt, Emiel Deprost, Sofie Van Hoecke

Proceedings of the 2022 IEEE Visualization and Visual Analytics (VIS), 2022

Powershap: A Power-Full Shapley Feature Selection Method.

Jarne Verhaeghe, M. Jeroen Van Der Donckt, Femke Ongenae, Sofie Van Hoecke

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Data Analytics for Health and Connected Care: Ontology, Knowledge Graph and Applications.

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

Proceedings of the Pervasive Computing Technologies for Healthcare, 2022

2020

Applying deep learning to reduce large adaptation spaces of self-adaptive systems with multiple types of goals.

M. Jeroen Van Der Donckt, Danny Weyns, Federico Quin, Jonas Van Der Donckt, Sam Michiels

Proceedings of the SEAMS '20: IEEE/ACM 15th International Symposium on Software Engineering for Adaptive and Self-Managing Systems, Seoul, Republic of Korea, 29 June, 2020

2018

Cost-Benefit Analysis at Runtime for Self-adaptive Systems Applied to an Internet of Things Application.

M. Jeroen Van Der Donckt, Danny Weyns, M. Usman Iftikhar, Ritesh Kumar Singh

Proceedings of the 13th International Conference on Evaluation of Novel Approaches to Software Engineering, 2018

Effective Decision Making in Self-adaptive Systems Using Cost-Benefit Analysis at Runtime and Online Learning of Adaptation Spaces.

M. Jeroen Van Der Donckt, Danny Weyns, M. Usman Iftikhar, Sarpreet Singh Buttar

Proceedings of the Evaluation of Novel Approaches to Software Engineering, 2018