Jonas Van Der Donckt

Orcid: 0000-0003-1440-7410

According to our database1, Jonas Van Der Donckt authored at least 16 papers between 2020 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2025
Uncovering the potential of smartphones for behavior monitoring during migraine follow-up.
BMC Medical Informatics Decis. Mak., December, 2025

tsdownsample: High-performance time series downsampling for scalable visualization.
SoftwareX, 2025

2024
Addressing Data Quality Challenges in Observational Ambulatory Studies: Analysis, Methodologies and Practical Solutions for Wrist-worn Wearable Monitoring.
CoRR, 2024

Magnitude and Rotation Invariant Detection of Transportation Modes with Missing Data Modalities.
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.
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.
Biomed. Signal Process. Control., March, 2023

Data Point Selection for Line Chart Visualization: Methodological Assessment and Evidence-Based Guidelines.
CoRR, 2023

MinMaxLTTB: Leveraging MinMax-Preselection to Scale LTTB.
Proceedings of the 2023 IEEE Visualization and Visual Analytics (VIS), 2023

2022
tsflex: Flexible time series processing & feature extraction.
SoftwareX, 2022

Assessing the added value of context during stress detection from wearable data.
BMC Medical Informatics Decis. Mak., 2022

mBrain: towards the continuous follow-up and headache classification of primary headache disorder patients.
BMC Medical Informatics Decis. Mak., 2022

Do Not Sleep on Linear Models: Simple and Interpretable Techniques Outperform Deep Learning for Sleep Scoring.
CoRR, 2022

Towards Knowledge-Driven Symptom Monitoring & Trigger Detection of Primary Headache Disorders.
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.
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.
Sensors, 2021

2020
Applying deep learning to reduce large adaptation spaces of self-adaptive systems with multiple types of goals.
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


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