| Applying deep learning to reduce large adaptation spaces of self-adaptive systems with multiple types of goals J Van Der Donckt, D Weyns, F Quin, J Van Der Donckt, S Michiels Proceedings of the IEEE/ACM 15th International Symposium on Software …, 2020 | 41 | 2020 |
| Cost-Benefit Analysis at Runtime for Self-adaptive Systems Applied to an Internet of Things Application. MJ Van Der Donckt, D Weyns, MU Iftikhar, RK Singh ENASE, 478-490, 2018 | 23 | 2018 |
| Do not sleep on traditional machine learning: Simple and interpretable techniques are competitive to deep learning for sleep scoring J Van Der Donckt, J Van Der Donckt, E Deprost, N Vandenbussche, ... Biomedical Signal Processing and Control 81, 104429, 2023 | 22* | 2023 |
| Plotly-resampler: Effective visual analytics for large time series J Van Der Donckt, J Van Der Donckt, E Deprost, S Van Hoecke 2022 IEEE Visualization and Visual Analytics (VIS), 21-25, 2022 | 15 | 2022 |
| Powershap: A power-full shapley feature selection method J Verhaeghe, J Van Der Donckt, F Ongenae, S Van Hoecke Joint European conference on machine learning and knowledge discovery in …, 2022 | 12 | 2022 |
| Deep learning for effective and efficient reduction of large adaptation spaces in self-adaptive systems D Weyns, O Gheibi, F Quin, J Van Der Donckt ACM Transactions on Autonomous and Adaptive Systems (TAAS) 17 (1-2), 1-42, 2022 | 12 | 2022 |
| Effective decision making in self-adaptive systems using cost-benefit analysis at runtime and online learning of adaptation spaces J Van Der Donckt, D Weyns, MU Iftikhar, SS Buttar Evaluation of Novel Approaches to Software Engineering: 13th International …, 2019 | 12 | 2019 |
| Data analytics for health and connected care: ontology, knowledge graph and applications B Steenwinckel, M De Brouwer, M Stojchevska, J Van Der Donckt, J Nelis, ... International Conference on Pervasive Computing Technologies for Healthcare …, 2022 | 11 | 2022 |
| tsflex: Flexible time series processing & feature extraction J Van Der Donckt, J Van Der Donckt, E Deprost, S Van Hoecke SoftwareX 17, 100971, 2022 | 11 | 2022 |
| Data point selection for line chart visualization: Methodological assessment and evidence-based guidelines J Van Der Donckt, J Van Der Donckt, M Rademaker, S Van Hoecke arXiv preprint arXiv:2304.00900, 2023 | 2 | 2023 |
| MinMaxLTTB: Leveraging MinMax-Preselection to Scale LTTB J Van Der Donckt, J Van Der Donckt, M Rademaker, S Van Hoecke 2023 IEEE Visualization and Visual Analytics (VIS), 21-25, 2023 | 1 | 2023 |
| Prediction of iol power C Scales, G Dai, J Young, J Van Der Donckt, M Rademaker, B Straker, ... US Patent App. 18/511,868, 2024 | | 2024 |
| Addressing Data Quality Challenges in Observational Ambulatory Studies: Analysis, Methodologies and Practical Solutions for Wrist-worn Wearable Monitoring J Van Der Donckt, N Vandenbussche, J Van Der Donckt, S Chen, ... arXiv preprint arXiv:2401.13518, 2024 | | 2024 |
| tsdownsample: high-performance time series downsampling for scalable visualization J Van Der Donckt, J Van Der Donckt, S Van Hoecke arXiv preprint arXiv:2307.05389, 2023 | | 2023 |
| Prediction of iol power C Scales, G Dai, J Young, J Van Der Donckt, M Rademaker, B Straker, ... US Patent App. 18/053,342, 2023 | | 2023 |
| Advancing Time Series Data Analytics and Applied Machine Learning in Healthcare J Van Der Donckt Ghent University, 2023 | | 2023 |
| Do Not Sleep on Traditional Machine Learning J Van Der Donckt, J Van Der, G Vandewiele, S Van stat 1050, 14, 2022 | | 2022 |
