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Researcher
Johannes De Smedt
- 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 Oct 2013 → Today
Projects
1 - 10 of 14
- 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
- Advanced Machine Learning Models to Support XAIFrom20 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
- Modeling Inter-case Dynamics with Deep Predictive Process MiningFrom9 Aug 2023 → 1 Mar 2024Funding: Own budget, for example: patrimony, inscription fees, gifts
- Portfolio Optimization with Deep Reinforcement LearningFrom31 Jan 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)
- Data Science in Financial InvestmentFrom27 Sep 2021 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Improving the Interpretability, Bias, and Fairness of Process-Driven Decision ModelsFrom1 Oct 2020 → TodayFunding: BOF - tenure track
- Improving the Interpretability, Bias, and Fairness of Process-Driven Decision ModelsFrom1 Oct 2020 → 30 Sep 2022Funding: BOF - projects
Publications
1 - 10 of 52
- Supporting data-aware processes with MERODE(2023)
Authors: Monique Snoeck, Charlotte Verbruggen, Johannes De Smedt, Jochen De Weerdt
- Manifold Learning for Adversarial Robustness in Predictive Process Monitoring(2023)
Authors: Alexander Stevens, Jari Peeperkorn, Johannes De Smedt, Jochen De Weerdt
Pages: 17 - 24 - Aligning Object-Centric Event Logs with Data-Centric Conceptual Models(2023)
Authors: Alexandre Goossens, Charlotte Verbruggen, Monique Snoeck, Johannes De Smedt, Jan Vanthienen
Pages: 44 - 59 - Process model forecasting and change exploration using time series analysis of event sequence data(2023)
Authors: Johannes De Smedt, Jochen De Weerdt
- Shopping hard or hardly shopping: Revealing consumer segments using clickstream data(2023)
Authors: Johannes De Smedt
- Enhancing Data-Awareness of Object-Centric Event Logs(2023)
Authors: Alexandre Goossens, Jan Vanthienen, Johannes De Smedt
Pages: 18 - 30Number of pages: 13 - Extracting Decision Model and Notation models from text using deep learning techniques(2023)
Authors: Alexandre Goossens, Johannes De Smedt, Jan Vanthienen
- Outcome-Oriented Predictive Process Monitoring on Positive and Unlabelled Event Logs(2023)
Authors: Jari Peeperkorn, Alexander Stevens, Johannes De Smedt, Seppe vanden Broucke, Jochen De Weerdt
Pages: 255 - 268 - Predicting student performance using sequence classification with time-based windows(2022)
Authors: Galina Deeva, Johannes De Smedt, Jochen De Weerdt
- Educational Sequence Mining for Dropout Prediction in MOOCs: Model Building, Evaluation, and Benchmarking(2022)
Authors: Galina Deeva, Johannes De Smedt, Jochen De Weerdt