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 (ENASE (Selected Papers), 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 (ENASE, 2018)

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 (SEAMS@ICSE, 2020)

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; et al. (PervasiveHealth, 2022)

Powershap: A Power-Full Shapley Feature Selection Method. - Jarne Verhaeghe; M. Jeroen Van Der Donckt; Femke Ongenae; Sofie Van Hoecke (ECML/PKDD (1), 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)

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)

tsflex: Flexible time series processing & feature extraction. - Jonas Van Der Donckt; M. Jeroen Van Der Donckt; Emiel Deprost; Sofie Van Hoecke (SoftwareX, 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)

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. - M. Jeroen Van Der Donckt; Jonas Van Der Donckt; Michaël Rademaker; Sofie Van Hoecke (CoRR, 2023)

tsdownsample: high-performance time series downsampling for scalable visualization. - M. Jeroen Van Der Donckt; Jonas Van Der Donckt; Sofie Van Hoecke (CoRR, 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., 2023)