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Researcher
Wouter Verbeke
- Keywords (Vrije Universiteit Brussel):Economics and applied economics
- Disciplines (Vrije Universiteit Brussel):Econometric and statistical methods and methodology, Modelling and simulation, Management information systems, Mathematical methods, programming models, mathematical and simulation modelling
- Disciplines (KU Leuven):Data mining, Machine learning and decision making, Decision support and group support systems
- See also: Wouter Verbeke (Vrije Universiteit Brussel)
Affiliations
- Industrial Management/Traffic and Infrastructure (CIB) (Division)
Member
From1 Aug 2020 → 15 Aug 2008 - Business technology and Operations (Department)
Member
From8 Apr 2019 → Today - Data Analytics Laboratory (Research group)
Member
From4 Jul 2018 → 30 Sep 2020 - Electromobility research centre (Research group)
Member
From1 Jan 2014 → 30 Sep 2020 - Business technology and Operations (Department)
Member
From1 Oct 2013 → 30 Sep 2020 - Studies in Media, Innovation and Technology (Research group)
Member
From1 Oct 2013 → 21 Oct 2016 - Information Systems Engineering Research Group (LIRIS) (main work address Leuven) (Research unit)
Member
From1 Dec 2008 → Today
Projects
1 - 10 of 13
- MBA-FORECAST: Moving Beyond Accuracy to optimize time series FORECASTsFrom1 Oct 2023 → TodayFunding: FWO junior postdoctoral fellowship
- Network treatment effect modeling, learning and optimizationFrom13 Jul 2023 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- FraudPANDA -- Counteracting Fraud using Pro-Active (Network) Detection and AnalysisFrom1 Jan 2023 → TodayFunding: FWO Strategic Basic Research Grant
- Network treatment effect modeling, learning and optimizationFrom1 Jan 2023 → TodayFunding: FWO research project (including WEAVE projects)
- From descriptive to prescriptive process analysis for career management of employeesFrom27 Sep 2021 → TodayFunding: Baekeland
- Business Applications for Natural Language ProcessingFrom1 Sep 2021 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- AI-driven applications in economics and finance: assessment of novel algorithms and data related cybersecurity solutions.From1 Sep 2021 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Descriptive to prescriptive process mining analytics: The employee journeyFrom19 Apr 2021 → 31 May 2021Funding: Own budget, for example: patrimony, inscription fees, gifts
- Data science for business decision-making and fraud detectionFrom23 Mar 2021 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Insurance Fraud Prediction with Machine LearningFrom25 Jan 2021 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
Publications
1 - 10 of 65
- A new perspective on classification: Optimally allocating limited resources to uncertain tasks(2024)
Authors: Toon Vanderschueren, Tim Verdonck, Wouter Verbeke
- Claims fraud detection with uncertain labels(2024)
Authors: Wouter Verbeke, Tim Verdonck
Pages: 219 - 243 - Timed Process Interventions: Causal Inference vs. Reinforcement Learning(2024)
Authors: Hans Weytjens, Jochen De Weerdt, Wouter Verbeke
Pages: 245 - 258 - Fraud analytics: A decade of research: Organizing challenges and solutions in the field(2023)
Authors: Christopher Bockel genannt Rickermann, Tim Verdonck, Wouter Verbeke
- Robust instance-dependent cost-sensitive classification(2023)
Authors: Toon Vanderschueren, Tim Verdonck, Wouter Verbeke
- Client Recruitment for Federated Learning in ICU Length of Stay Prediction(2023)
Authors: Vincent Scheltjens, Lyse Naomi Wamba Momo, Wouter Verbeke, Bart De Moor
Number of pages: 9 - Accounting For Informative Sampling When Learning to Forecast Treatment Outcomes Over Time(2023)
Authors: Toon Vanderschueren, Wouter Verbeke
Pages: 34855 - 34855 - Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2022 Grenoble, France, September 19-23, 2022, Proceedings Part I(2023)
Authors: Wouter Verbeke
Number of pages: 260 - To do or not to do? Cost-sensitive causal classification with individual treatment effect estimates(2023)
Authors: Wouter Verbeke, Jente Van Belle
Pages: 838 - 852 - Optimizing the preventive maintenance frequency with causal machine learning(2023)
Authors: Toon Vanderschueren, Robert Boute, Tim Verdonck, Bart Baesens, Wouter Verbeke