Adrem Data Lab search menu search content Data Mining and Artificial Intelligence Classification & Anomaly detection LCIF: Combining Instance and Feature neighbors for Efficient Multi-label Classification (by Len Feremans) PBAD: Pattern-Based Anomaly Detection in Mixed-Type Time Series (by Len Ferem…

Gilles Van Haesendonck onbezoldigd medewerker Publicaties Gilles Van Haesendonck Modified total laryngectomy with strap-flap technique in a patient with bovine aortic arch anomaly : a case report and literature review Bron Head and neck: journal for the sciences and specialties of the head and neck …

Freek Van Doninck mandaatassistent Publicaties Freek Van Doninck Decomposing the idiosyncratic volatility anomaly among euro area stocks Bron Finance research letters - ISSN 1544-6123-47:B (2022) p. 1-8 Auteur(s) Jan Annaert, Marc De Ceuster, Freek Van Doninck Citatielink Teaching case: social entre…

Jakob Raymaekers tenure track docent Onderzoek Jakob Raymaekers Onderzoeksgroep Toegepaste wiskunde Expertise Mijn expertise omvat: - Multivariate statistiek - Robuuste statistiek - Anomaly detection - Clustering - visualisatie - statistische machine learning Regressie met celgewijze uitschieters. 0…

IDLab search menu search content Feature engineering The main objective of machine learning is to extract patterns to turn data into knowledge. Since the beginning of this century, technological advances have drastically changed the size of data sets as well as the speed with which these data must b…

Jakob Raymaekers TT. asst. research professor Research Jakob Raymaekers Research team Applied mathematics Expertise My expertise: - Multivariate statistics - Robust statistics - Anomaly detection - Clustering - visualization - statistical machine learning Cellwise robust regression. 01/06/2025 - 31/…

Boris Cule onbezoldigd medewerker Publicaties Boris Cule RASCL : a randomised approach to subspace clusters Bron International journal of data science and analytics - ISSN 2364-415X-14 (2022) p. 243-259 Auteur(s) Sandy Moens, Boris Cule, Bart Goethals Citatielink PETSC : pattern-based embedding for …

Adrem Data Lab search menu search content Expertise Adams Charlotte I conduct bioinformatics research in mass spectrometry-based proteomics, aimed at supporting the study of protein composition in biological samples or tissues. I develop computational methods to improve the analysis of difficult-to-…

Toon Calders professor Research Toon Calders Research team ADReM Data Lab (ADReM) Expertise Analysis of dynamic network data Most works in network analysis concentrate on static graphs and find patterns such as the most in influential nodes in the network. Very few existing methods are able to deal …

Len Feremans postdoc mandaat FWO Publicaties Len Feremans Comparing the applicability of de facto population markers for spatiotemporal trend analysis in wastewater-based epidemiology Bron Journal of hazardous materials - ISSN 0304-3894-496 (2025) p. 1-12 Auteur(s) Maarten Quireyns, Tim Boogaerts, J…

Hussein Marah onbezoldigd medewerker Publicaties Hussein Marah An agent-oriented twinning architecture for complex event-driven anomaly detection in distributed CPS Bron 22nd International Conference on Software Architecture Companion-ICSA, C-Annual, MAR 31-APR 04, 2025, University of Southern Denma…

Mohammadmahdi Rahimiasl doctoraatsbursaal Publicaties Mohammadmahdi Rahimiasl Predicting demand and supply in a real-time traffic management framework Bron Transport transitions : advancing sustainable and inclusive mobility: proceedings of the 10th TRA Conference, 2024, Dublin, Ireland-2 () p. 356-…

Tim Verdonck professor Research Tim Verdonck Research team Applied mathematics Expertise The development and application of machine learning techniques for (mainly) financial, actuarial and economic data sets. The development and application of robust statistics for anomaly detection. Tim Verdonck i…

Gilles Van Haesendonck unpaid staff Publications Gilles Van Haesendonck Modified total laryngectomy with strap-flap technique in a patient with bovine aortic arch anomaly : a case report and literature review Source Head and neck: journal for the sciences and specialties of the head and neck - ISSN …

Moharram Challenger hoofddocent Publicaties Moharram Challenger Optimization methods for model-implemented fault injection in cyber-physical systems : a systematic literature review Bron Papers - SSRN- () p. 1-26 Auteur(s) Mehrdad Moradi, Tagir Fabarsisov, Onur Kilincceker, Moharram Challenger, Joac…

Patrick R M Lauwers onbezoldigd medewerker Publicaties Patrick R M Lauwers Median arcuate ligament syndrome as a rare cause of ischemic duodenal ulcers : a case report Bron Cur_us - ISSN 2168-8184-17:9 (2025) p. 1-7 Auteur(s) Rani Sebrechts, Sandra Müller, Patrick Lauwers, Lieselot Potums, Jeroen H…

Freek Van Doninck grad. teaching & research ass. Publications Freek Van Doninck Decomposing the idiosyncratic volatility anomaly among euro area stocks Source Finance research letters - ISSN 1544-6123-47:B (2022) p. 1-8 Author(s) Jan Annaert, Marc De Ceuster, Freek Van Doninck Citation link Teaching…

Ynte Vanderhoydonc stafmedewerker Publicaties Ynte Vanderhoydonc Predicting demand and supply in a real-time traffic management framework Bron Transport transitions : advancing sustainable and inclusive mobility: proceedings of the 10th TRA Conference, 2024, Dublin, Ireland-2 () p. 356-362 Auteur(s)…

Hans Vangheluwe gewoon hoogleraar Publicaties Hans Vangheluwe An agent-oriented twinning architecture for complex event-driven anomaly detection in distributed CPS Bron 22nd International Conference on Software Architecture Companion-ICSA, C-Annual, MAR 31-APR 04, 2025, University of Southern Denmar…

Len Feremans postdoc researcher FWO Research Len Feremans Research team ADReM Data Lab (ADReM) Expertise Development and study of advanced data mining and machine learning methods. In particular, we investigate: (i) new methods to efficiently discover interesting patterns in sequential data; (ii) ne…

DigiTax search menu search content Data mining for better fraud detection Summary This research objective focuses on data mining, which is quickly becoming a popular artificial intelligence technique used by tax administrations for better fraud detection. However, many challenges still exist. One of…

Boris Cule unpaid staff Publications Boris Cule RASCL : a randomised approach to subspace clusters Source International journal of data science and analytics - ISSN 2364-415X-14 (2022) p. 243-259 Author(s) Sandy Moens, Boris Cule, Bart Goethals Citation link PETSC : pattern-based embedding for time …

Hussein Marah unpaid staff Publications Hussein Marah An agent-oriented twinning architecture for complex event-driven anomaly detection in distributed CPS Source 22nd International Conference on Software Architecture Companion-ICSA, C-Annual, MAR 31-APR 04, 2025, University of Southern Denmark, Uni…

Len Feremans postdoc researcher FWO Publications Len Feremans Comparing the applicability of de facto population markers for spatiotemporal trend analysis in wastewater-based epidemiology Source Journal of hazardous materials - ISSN 0304-3894-496 (2025) p. 1-12 Author(s) Maarten Quireyns, Tim Boogae…

Mohammadmahdi Rahimiasl doctoral scholarship holder Publications Mohammadmahdi Rahimiasl Predicting demand and supply in a real-time traffic management framework Source Transport transitions : advancing sustainable and inclusive mobility: proceedings of the 10th TRA Conference, 2024, Dublin, Ireland…