Sam Verboven

28 papers B 1C 2Misc 1Journal 17Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Human-in-the-Loop LLM Grading for Handwritten Mathematics Assessments.
CoRR
Arne Vanhoyweghen, Vincent Holst, Melika Mobini, Lukas Van de Voorde, Tibo Vanleke, Bert Verbruggen, Brecht Verbeken, Andres Algaba, Sam Verboven, Marie-Anne Guerry, Filip Van Droogenbroeck, Vincent Ginis
2025 J jnl
Can causal machine learning reveal individual bid responses of bank customers? - A study on mortgage loan applications in Belgium.
Decis. Support Syst.
Christopher Bockel-Rickermann, Sam Verboven, Tim Verdonck, Wouter Verbeke
2025 J jnl
Decision-centric fairness: Evaluation and optimization for resource allocation problems.
CoRR
Simon De Vos, Jente Van Belle, Andres Algaba, Wouter Verbeke, Sam Verboven
2025 J jnl
Engineering the Law-Machine Learning Translation Problem: Developing Legally Aligned Models.
CoRR
Mathias Hanson, Gregory Lewkowicz, Sam Verboven
2025 J jnl
Flexible Counterfactual Explanations with Generative Models.
CoRR
Stig Hellemans, Andres Algaba, Sam Verboven, Vincent Ginis
2025 J jnl
Uplift Model Evaluation with Ordinal Dominance Graphs.
J. Mach. Learn. Res.
Brecht Verbeken, Marie-Anne Guerry, Wouter Verbeke, Sam Verboven
2025 — conf
When to Use Discriminator Ensembles? Cross-Domain Evidence of Multi-Adversarial Learning.
IDEAL (1)
Benjamin Schindler, Melle Mendikowski, Thomas Schmid, Sam Verboven
2024 — conf
DynamITE: Optimal time-sensitive organ offers using ITE.
ML4H@NeurIPS
Alessandro Marchese, Hans de Ferrante, Jeroen Berrevoets, Sam Verboven
2024 J jnl
Hybrid black-box classification for customer churn prediction with segmented interpretability analysis.
Decis. Support Syst.
Arno De Caigny, Koen W. De Bock, Sam Verboven
2024 J jnl
Sample-level weighting for multi-task learning with auxiliary tasks.
Appl. Intell.
Emilie Grégoire, Muhammad Hafeez Chaudhary, Sam Verboven
2023 J jnl
A Causal Perspective on Loan Pricing: Investigating the Impacts of Selection Bias on Identifying Bid-Response Functions.
CoRR
Christopher Bockel-Rickermann, Sam Verboven, Tim Verdonck, Wouter Verbeke
2023 J jnl
HydaLearn.
Appl. Intell.
Sam Verboven, Muhammad Hafeez Chaudhary, Jeroen Berrevoets, Vincent Ginis, Wouter Verbeke
2023 J jnl
Sample-Level Weighting for Multi-Task Learning with Auxiliary Tasks.
CoRR
Emilie Grégoire, Muhammad Hafeez Chaudhary, Sam Verboven
2023 — conf
Towards Sustainable Power Systems: Exploring the Opportunities of Multi-task Learning for Battery Degradation Forecasting.
AI4KMES@ECAI
Emilie Grégoire, Sam Verboven
2022 B conf
Mining Statistical Relations for Better Decision Making in Healthcare Processes.
ICPM
Jelmer Jan Koorn, Xixi Lu, Henrik Leopold, Niels Martin, Sam Verboven, Hajo A. Reijers
2021 J jnl
Autoencoders for strategic decision support.
Decis. Support Syst.
Sam Verboven, Jeroen Berrevoets, Chris Wuytens, Bart Baesens, Wouter Verbeke
2021 — conf
Combining the Clinical and Operational Perspectives in Heterogeneous Treatment Effect Inference in Healthcare Processes.
ICPM Workshops
Sam Verboven, Niels Martin
2020 J jnl
Autoencoders for strategic decision support.
CoRR
Sam Verboven, Jeroen Berrevoets, Chris Wuytens, Bart Baesens, Wouter Verbeke
2020 J jnl
HydaLearn: Highly Dynamic Task Weighting for Multi-task Learning with Auxiliary Tasks.
CoRR
Sam Verboven, Muhammad Hafeez Chaudhary, Jeroen Berrevoets, Wouter Verbeke
2019 J jnl
Optimising Individual-Treatment-Effect Using Bandits.
CoRR
Jeroen Berrevoets, Sam Verboven, Wouter Verbeke
2015 J jnl
Network Aware Scheduling for Virtual Machine Workloads with Interference Models.
IEEE Trans. Serv. Comput.
Sam Verboven, Kurt Vanmechelen, Jan Broeckhove
2013 J jnl
Black box scheduling for resource intensive virtual machine workloads with interference models.
Future Gener. Comput. Syst.
Sam Verboven, Kurt Vanmechelen, Jan Broeckhove
2013 — —
Model driven scheduling for virtualized workloads
Sam Verboven
2010 C conf
Multiplexing Low and High QoS Workloads in Virtual Environments.
JSSPP
Sam Verboven, Kurt Vanmechelen, Jan Broeckhove
2009 Misc conf
Predicting Parameter Sweep Jobs: From Simulation to Grid Implementation.
CISIS
Peter Hellinckx, Sam Verboven, Frans Arickx, Jan Broeckhove
2009 — ch.
Runtime Prediction in Desktop Grid Scheduling.
Parallel Programming, Models and Applications in Grid and P2P Systems
Peter Hellinckx, Sam Verboven, Frans Arickx, Jan Broeckhove
2008 — conf
Dynamic Grid Scheduling Using Job Runtime Requirements and Variable Resource Availability.
Euro-Par
Sam Verboven, Peter Hellinckx, Jan Broeckhove, Frans Arickx
2008 C conf
Runtime Prediction Based Grid Scheduling of Parameter Sweep Jobs.
APSCC
Sam Verboven, Peter Hellinckx, Frans Arickx, Jan Broeckhove