Jonas Van Der Donckt

According to our database, Jonas Van Der Donckt authored at least 17 papers between 2020 and 2024.

Collaborative distances:

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

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

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

CoRR, 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

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

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

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

CoRR, 2023

MinMaxLTTB: Leveraging MinMax-Preselection to Scale LTTB.

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

CoRR, 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

tsflex: Flexible time series processing & feature extraction.

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

SoftwareX, 2022

Assessing the added value of context during stress detection from wearable data.

Marija Stojchevska, Bram Steenwinckel, Jonas Van Der Donckt, Mathias De Brouwer, Annelies Goris, Filip De Turck, Sofie Van Hoecke, Femke Ongenae

BMC Medical Informatics Decis. Mak., 2022

mBrain: towards the continuous follow-up and headache classification of primary headache disorder patients.

Mathias De Brouwer, Nicolas Vandenbussche, Bram Steenwinckel, Marija Stojchevska, Jonas Van Der Donckt, Vic Degraeve, Jasper Vaneessen, Filip De Turck, Bruno Volckaert, Paul Boon, Koen Paemeleire, Sofie Van Hoecke, Femke Ongenae

BMC Medical Informatics Decis. Mak., 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, M. Jeroen Van Der Donckt, Emiel Deprost, Sofie Van Hoecke

CoRR, 2022

Towards Knowledge-Driven Symptom Monitoring & Trigger Detection of Primary Headache Disorders.

Mathias De Brouwer, Nicolas Vandenbussche, Bram Steenwinckel, Marija Stojchevska, Jonas Van Der Donckt, Vic Degraeve, Filip De Turck, Koen Paemeleire, Sofie Van Hoecke, Femke Ongenae

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 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

2021

MIRRA: A Modular and Cost-Effective Microclimate Monitoring System for Real-Time Remote Applications.

Olivier Pieters, Emiel Deprost, Jonas Van Der Donckt, Lore Brosens, Pieter Sanczuk, Pieter Vangansbeke, Tom De Swaef, Pieter De Frenne, Francis Wyffels

Sensors, 2021

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