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ORCIDJonas Van Der Donckt
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2020 – today
- 2024
[i9]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:
Addressing Data Quality Challenges in Observational Ambulatory Studies: Analysis, Methodologies and Practical Solutions for Wrist-worn Wearable Monitoring. CoRR abs/2401.13518 (2024)- [i8]Jeroen Van Der Donckt, Jonas Van Der Donckt, Sofie Van Hoecke:
Magnitude and Rotation Invariant Detection of Transportation Modes with Missing Data Modalities. CoRR abs/2407.11048 (2024) - [i7]Jonas Van Der Donckt, Jeroen Van Der Donckt, Sofie Van Hoecke:
Left-Right Swapping and Upper-Lower Limb Pairing for Robust Multi-Wearable Workout Activity Detection. CoRR abs/2408.03947 (2024) - 2023
- [j5]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: 104429 (2023) - [c4]Jeroen Van Der Donckt, Jonas Van Der Donckt, Michaël Rademaker, Sofie Van Hoecke:
MinMaxLTTB: Leveraging MinMax-Preselection to Scale LTTB. IEEE VIS (Short Papers) 2023: 21-25 - [i6]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 abs/2304.00900 (2023) - [i5]M. Jeroen Van Der Donckt, Jonas Van Der Donckt, Michaël Rademaker, Sofie Van Hoecke:
MinMaxLTTB: Leveraging MinMax-Preselection to Scale LTTB. CoRR abs/2305.00332 (2023) - [i4]M. Jeroen Van Der Donckt, Jonas Van Der Donckt, Sofie Van Hoecke:
tsdownsample: high-performance time series downsampling for scalable visualization. CoRR abs/2307.05389 (2023) - 2022
- [j4]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:
mBrain: towards the continuous follow-up and headache classification of primary headache disorder patients. BMC Medical Informatics Decis. Mak. 22(1): 87 (2022) - [j3]Marija Stojchevska, Bram Steenwinckel, Jonas Van Der Donckt, Mathias De Brouwer, Annelies Goris, Filip De Turck, Sofie Van Hoecke, Femke Ongenae:
Assessing the added value of context during stress detection from wearable data. BMC Medical Informatics Decis. Mak. 22(1): 268 (2022) - [j2]Jonas Van Der Donckt, M. Jeroen Van Der Donckt, Emiel Deprost, Sofie Van Hoecke:
tsflex: Flexible time series processing & feature extraction. SoftwareX 17: 100971 (2022) - [c3]Jonas Van Der Donckt, Jeroen Van Der Donckt, Emiel Deprost, Sofie Van Hoecke:
Plotly-Resampler: Effective Visual Analytics for Large Time Series. IEEE VIS (Short Papers) 2022: 21-25 - [c2]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:
Towards Knowledge-Driven Symptom Monitoring & Trigger Detection of Primary Headache Disorders. WWW (Companion Volume) 2022: 264-268 - [i3]Jonas Van Der Donckt, M. Jeroen Van Der Donckt, Emiel Deprost, Sofie Van Hoecke:
Plotly-Resampler: Effective Visual Analytics for Large Time Series. CoRR abs/2206.08703 (2022) - [i2]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 abs/2207.07753 (2022) - 2021
- [j1]Olivier Pieters, Emiel Deprost, Jonas Van Der Donckt, Lore Brosens, Pieter Sanczuk, Pieter Vangansbeke, Tom De Swaef, Pieter De Frenne, Francis Wyffels:
MIRRA: A Modular and Cost-Effective Microclimate Monitoring System for Real-Time Remote Applications. Sensors 21(13): 4615 (2021) - [i1]Jonas Van Der Donckt, M. Jeroen Van Der Donckt, Emiel Deprost, Sofie Van Hoecke:
tsflex: flexible time series processing & feature extraction. CoRR abs/2111.12429 (2021) - 2020
- [c1]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: 20-30
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