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Researcher
Jochen De Weerdt
- Disciplines:Data mining, Machine learning and decision making, Decision support and group support systems, Workflow, process and database management, Business information management, Management information systems
Affiliations
- Information Systems Engineering Research Group (LIRIS) (main work address Leuven) (Research unit)
Member
From15 Sep 2009 → Today
Projects
1 - 10 of 22
- Deep Process Model ForecastingFrom1 Oct 2023 → TodayFunding: BOF - projects
- Predictive Process Techniques for Model Forecasting and MonitoringFrom28 Sep 2023 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Predictive and Prescriptive Process Modeling using Machine Learning and AIFrom12 Sep 2023 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Process Model Forecasting: From Short and Sweet to Long and LastingFrom1 Jan 2023 → TodayFunding: FWO research project (including WEAVE projects)
- Visualisation of IoT business processesFrom5 Dec 2022 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Operational AnalyticsFrom24 Aug 2022 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Novel Process Mining Techniques for Discovering IoT-enhanced Business ProcessesFrom1 Jan 2022 → TodayFunding: FWO research project (including WEAVE projects)
- digital TuRn in EUrope: Strengthening relational reliance through TechnologyFrom1 Sep 2021 → TodayFunding: H2020-EU.1.3.- EXCELLEN SCIENCE - Marie Skłodowska-Curie actions
- Developing tailored geospatial analytics techniques for real estateFrom1 Sep 2021 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Enhancing Business Process Mining with IoT context dataFrom16 Dec 2020 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
Publications
1 - 10 of 123
- Industry-sensitive language modeling for business(2024)
Authors: Jochen De Weerdt
- Predictive process model monitoring using long short-term memory networks(2024)
Authors: Johannes De Smedt, Jochen De Weerdt
- Validation set sampling strategies for predictive process monitoring(2024)
Authors: Jari Peeperkorn, Seppe vanden Broucke, Jochen De Weerdt
- Timed Process Interventions: Causal Inference vs. Reinforcement Learning(2024)
Authors: Hans Weytjens, Jochen De Weerdt, Wouter Verbeke
Pages: 245 - 258 - Investigating Bias in Multilingual Language Models: Cross-Lingual Transfer of Debiasing Techniques(2023)
Authors: Manon Reusens, Jochen De Weerdt
Pages: 2887 - 2896Number of pages: 9 - CORE: A Few-Shot Company Relation Classification Dataset for Robust Domain Adaptation.(2023)
Authors: Jochen De Weerdt
Pages: 11792 - 11806 - Supporting data-aware processes with MERODE(2023)
Authors: Monique Snoeck, Charlotte Verbruggen, Johannes De Smedt, Jochen De Weerdt
- Novel Methods for Positive Unlabeled Learning in Imbalance Data Sets with Applications in Fraud Detection(2023)
Authors: Carlos Eduardo Ortega Vazquez, Jochen De Weerdt, Seppe vanden Broucke
- Manifold Learning for Adversarial Robustness in Predictive Process Monitoring(2023)
Authors: Alexander Stevens, Jari Peeperkorn, Johannes De Smedt, Jochen De Weerdt
Pages: 17 - 24 - Novel Conformance Checking Methods and Validation Strategies for Deep Learning in Process Mining(2023)
Authors: Jari Peeperkorn, Jochen De Weerdt, Seppe vanden Broucke
Linked dataset
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