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Researcher
Bart Baesens
- Disciplines:Applied mathematics in specific fields, Artificial intelligence, Information sciences, Information systems, Cognitive science and intelligent systems, Management, Instructional sciences
Affiliations
- Information Systems Engineering Research Group (LIRIS) (main work address Leuven) (Research unit)
Member
From1 Nov 2005 → Today
Projects
1 - 10 of 34
- FraudPANDA -- Counteracting Fraud using Pro-Active (Network) Detection and AnalysisFrom1 Jan 2023 → TodayFunding: FWO Strategic Basic Research Grant
- Predictive Modelling and Big Data Analytics for Risk ManagementFrom15 Sep 2021 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Business Applications for Natural Language ProcessingFrom1 Sep 2021 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Applying deep learning on metadata data as a competitive acceleratorFrom1 Sep 2021 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- NOVEL SUSTAINABILITY-DRIVEN IOT PRESCRIPTIVE ANALYTICS FOR IMPROVING IRRIGATION PRACTICES IN FRUIT TREESFrom18 Jan 2021 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Data Science for Official Statistics.From1 Jan 2021 → TodayFunding: Department General Affairs and Finance
- Machine learning for fraud analyticsFrom27 Aug 2020 → TodayFunding: FWO fellowships
- Economic and Financial Data Infrastructure for Empirical Research in Economics and BusinessFrom1 May 2020 → TodayFunding: FWO International research infrastructure (IRI)
- Economic and Financial Data Infrastructure for Empirical Research in Economics and BusinessFrom1 May 2020 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Statistical learning techniques with applications in finance and insuranceFrom2 Oct 2019 → 4 Jul 2023Funding: Own budget, for example: patrimony, inscription fees, gifts
Publications
1 - 10 of 238
- Harnessing the Power of Transformers and Data Fusion in Smart Irrigation(2024)
Authors: Boje Deforce, Bart Baesens, Jan Diels, Estefanía Serral Asensio
- Learning analytics tells: Know your basics and go to class(2024)
Authors: Elena Tiukhova, Charlotte Verbruggen, Bart Baesens, Monique Snoeck
- Discovering Unusual Study Patterns Using Anomaly Detection and XAI(2024)
Authors: Elena Tiukhova, Pavani Vemuri, Stephan Poelmans, Bart Baesens, Monique Snoeck
Number of pages: 10 - Topic modelling applied on innovation studies of Flemish companies(2023)
Authors: Manon Reusens, Bart Baesens
Pages: 243 - 254 - Statistical learning techniques with applications in finance and insurance(2023)
Authors: Emmanuel Jordy Menvouta Nkpwele, Tim Verdonck, Bart Baesens
- Evaluation of Joint Modeling Techniques for Node Embedding and Community Detection on Graphs(2023)
Authors: Sandra Mitrovic, Bart Baesens, Jochen De Weerdt
Pages: 403 - 410 - Sovereign credit risk modeling using machine learning: a novel approach to sovereign credit risk incorporating private sector and sustainability risks(2023)
Authors: Arsh Anand, Bart Baesens
Pages: 105 - 154 - Optimizing the preventive maintenance frequency with causal machine learning(2023)
Authors: Toon Vanderschueren, Robert Boute, Tim Verdonck, Bart Baesens, Wouter Verbeke
- Network Representation Learning for Fraud Detection(2023)
Authors: Rafaël Van Belle, Jochen De Weerdt, Bart Baesens
- Fraud analytics: a research(2023)
Authors: Bart Baesens
Pages: 137 - 141