| Runtime prediction based grid scheduling of parameter sweep jobs S Verboven, P Hellinckx, F Arickx, J Broeckhove 2008 IEEE Asia-Pacific Services Computing Conference, 33-38, 2008 | 53 | 2008 |
| Black box scheduling for resource intensive virtual machine workloads with interference models S Verboven, K Vanmechelen, J Broeckhove Future generation computer systems 29 (8), 1871-1884, 2013 | 26 | 2013 |
| Network aware scheduling for virtual machine workloads with interference models S Verboven, K Vanmechelen, J Broeckhove IEEE Transactions on Services Computing 8 (4), 617-629, 2014 | 15 | 2014 |
| Autoencoders for strategic decision support S Verboven, J Berrevoets, C Wuytens, B Baesens, W Verbeke Decision Support Systems, 113422, 2020 | 14 | 2020 |
| The foundations of cost-sensitive causal classification W Verbeke, D Olaya, J Berrevoets, S Verboven, S Maldonado arXiv preprint arXiv:2007.12582, 2020 | 12 | 2020 |
| Dynamic grid scheduling using job runtime requirements and variable resource availability S Verboven, P Hellinckx, J Broeckhove, F Arickx Euro-Par 2008–Parallel Processing: 14th International Euro-Par Conference …, 2008 | 11 | 2008 |
| HydaLearn: Highly Dynamic Task Weighting for Multitask Learning with Auxiliary Tasks S Verboven, MH Chaudhary, J Berrevoets, V Ginis, W Verbeke Applied Intelligence 53 (5), 5808-5822, 2023 | 9 | 2023 |
| Predicting parameter sweep jobs: From simulation to grid implementation P Hellinckx, S Verboven, F Arickx, J Broeckhove 2009 International Conference on Complex, Intelligent and Software Intensive …, 2009 | 8 | 2009 |
| Treatment effect optimisation in dynamic environments J Berrevoets, S Verboven, W Verbeke Journal of Causal Inference 10 (1), 106-122, 2022 | 7 | 2022 |
| Multiplexing low and high QoS workloads in virtual environments S Verboven, K Vanmechelen, J Broeckhove Job Scheduling Strategies for Parallel Processing: 15th International …, 2010 | 7 | 2010 |
| Optimising individual-treatment-effect using bandits J Berrevoets, S Verboven, W Verbeke arXiv preprint arXiv:1910.07265, 2019 | 6 | 2019 |
| Mining statistical relations for better decision making in healthcare processes JJ Koorn, X Lu, H Leopold, N Martin, S Verboven, HA Reijers 2022 4th International Conference on Process Mining (ICPM), 32-39, 2022 | 4 | 2022 |
| Evaluating Nested Virtualization Support S Verboven, R Van den Bossche, O Berghmans, K Vanmechelen, ... retrieved from<>, Feb, 2011 | 4 | 2011 |
| Combining the clinical and operational perspectives in heterogeneous treatment effect inference in healthcare processes S Verboven, N Martin International Conference on Process Mining, 327-339, 2021 | 3 | 2021 |
| Hybrid black-box classification for customer churn prediction with segmented interpretability analysis A De Caigny, KW De Bock, S Verboven Decision Support Systems, 114217, 2024 | | 2024 |
| Sample-level weighting for multi-task learning with auxiliary tasks E Grégoire, MH Chaudhary, S Verboven Applied Intelligence 54 (4), 3482-3501, 2024 | | 2024 |
| A Causal Perspective on Loan Pricing: Investigating the Impacts of Selection Bias on Identifying Bid-Response Functions C Bockel-Rickermann, S Verboven, T Verdonck, W Verbeke arXiv preprint arXiv:2309.03730, 2023 | | 2023 |
| Uplift Model Evaluation with Ordinal Dominance Graphs B Verbeken, MA Guerry, S Verboven European Conference on Machine Learning and Principles and Practice of …, 2022 | | 2022 |
| On Neural Networks and Decision Support. Optimising Human and Artificial Decision Making. S Verboven | | 2021 |
| Multi-task Neural Networks for Uplift Modeling S Verboven, J Berrevoets, W Verbeke 34th annual conference of the Belgian Operational Research Society, 132-132, 2020 | | 2020 |
Wouter VerbekeProfessor of Decision Science, KU Leuven, Faculty of Economics and BusinessVerified email at kuleuven.be
