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2020 – today
- 2024
[j6]Emilie Grégoire
, Muhammad Hafeez Chaudhary, Sam Verboven:
Sample-level weighting for multi-task learning with auxiliary tasks. Appl. Intell. 54(4): 3482-3501 (2024)- [j5]Arno De Caigny, Koen W. De Bock, Sam Verboven:
Hybrid black-box classification for customer churn prediction with segmented interpretability analysis. Decis. Support Syst. 181: 114217 (2024) - 2023
- [j4]Sam Verboven, Muhammad Hafeez Chaudhary, Jeroen Berrevoets, Vincent Ginis, Wouter Verbeke:
HydaLearn. Appl. Intell. 53(5): 5808-5822 (2023) - [c7]Emilie Grégoire, Sam Verboven:
Towards Sustainable Power Systems: Exploring the Opportunities of Multi-task Learning for Battery Degradation Forecasting. AI4KMES@ECAI 2023: 116-133 - [i5]Emilie Grégoire, Muhammad Hafeez Chaudhary, Sam Verboven:
Sample-Level Weighting for Multi-Task Learning with Auxiliary Tasks. CoRR abs/2306.04519 (2023) - [i4]Christopher Bockel-Rickermann, Sam Verboven, Tim Verdonck, Wouter Verbeke:
A Causal Perspective on Loan Pricing: Investigating the Impacts of Selection Bias on Identifying Bid-Response Functions. CoRR abs/2309.03730 (2023) - 2022
- [c6]Jelmer Jan Koorn, Xixi Lu, Henrik Leopold, Niels Martin, Sam Verboven, Hajo A. Reijers:
Mining Statistical Relations for Better Decision Making in Healthcare Processes. ICPM 2022: 32-39 - 2021
- [j3]Sam Verboven, Jeroen Berrevoets, Chris Wuytens, Bart Baesens, Wouter Verbeke:
Autoencoders for strategic decision support. Decis. Support Syst. 150: 113422 (2021) - [c5]Sam Verboven, Niels Martin:
Combining the Clinical and Operational Perspectives in Heterogeneous Treatment Effect Inference in Healthcare Processes. ICPM Workshops 2021: 327-339 - 2020
- [i3]Sam Verboven, Jeroen Berrevoets, Chris Wuytens, Bart Baesens, Wouter Verbeke:
Autoencoders for strategic decision support. CoRR abs/2005.01075 (2020) - [i2]Sam Verboven, Muhammad Hafeez Chaudhary, Jeroen Berrevoets, Wouter Verbeke:
HydaLearn: Highly Dynamic Task Weighting for Multi-task Learning with Auxiliary Tasks. CoRR abs/2008.11643 (2020)
2010 – 2019
- 2019
- [i1]Jeroen Berrevoets, Sam Verboven, Wouter Verbeke:
Optimising Individual-Treatment-Effect Using Bandits. CoRR abs/1910.07265 (2019) - 2015
- [j2]Sam Verboven, Kurt Vanmechelen, Jan Broeckhove:
Network Aware Scheduling for Virtual Machine Workloads with Interference Models. IEEE Trans. Serv. Comput. 8(4): 617-629 (2015) - 2013
- [b1]Sam Verboven:
Model driven scheduling for virtualized workloads. University of Antwerp, Belgium, 2013 - [j1]Sam Verboven, Kurt Vanmechelen, Jan Broeckhove:
Black box scheduling for resource intensive virtual machine workloads with interference models. Future Gener. Comput. Syst. 29(8): 1871-1884 (2013) - 2010
- [c4]Sam Verboven, Kurt Vanmechelen, Jan Broeckhove:
Multiplexing Low and High QoS Workloads in Virtual Environments. JSSPP 2010: 175-190
2000 – 2009
- 2009
- [c3]Peter Hellinckx, Sam Verboven, Frans Arickx, Jan Broeckhove:
Predicting Parameter Sweep Jobs: From Simulation to Grid Implementation. CISIS 2009: 402-408 - [p1]Peter Hellinckx, Sam Verboven, Frans Arickx, Jan Broeckhove:
Runtime Prediction in Desktop Grid Scheduling. Parallel Programming, Models and Applications in Grid and P2P Systems 2009: 204-231 - 2008
- [c2]Sam Verboven, Peter Hellinckx, Frans Arickx, Jan Broeckhove:
Runtime Prediction Based Grid Scheduling of Parameter Sweep Jobs. APSCC 2008: 33-38 - [c1]Sam Verboven, Peter Hellinckx, Jan Broeckhove, Frans Arickx:
Dynamic Grid Scheduling Using Job Runtime Requirements and Variable Resource Availability. Euro-Par 2008: 223-232
Coauthor Index
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last updated on 2024-10-07 22:12 CEST by the dblp team
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