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…

Mohammadmahdi Rahimiasl doctoraatsbursaal Publicaties Mohammadmahdi Rahimiasl History-based road traffic anomaly detection using deep learning and real-world data Bron VEHITS 2024 : proceedings of the 10th International Conference on Vehicle Technology and Intelligent Transport Systems, May 2-4, 202…

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 Statistisch leren met cellsgewijze conta…

Marc De Ceuster hoogleraar Publicaties Marc De Ceuster Does time series momentum also exist outside traditional financial markets? Near-laboratory evidence from sports betting Bron Journal of behavioral and experimental economics - ISSN 2214-8043-104 (2023) p. 1-15 Auteur(s) Jonas Vandenbruaene, Mar…

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 …

Len Feremans postdoc mandaat FWO Publicaties Len Feremans Pattern-based time series semantic segmentation with gradual state transitions Bron SIAM International Conference on Data Mining (SDM), APR 18-20, 2024, Houston, TX- (2024) p. 316-324 Auteur(s) Louis Carpentier, Len Feremans, Wannes Meert, Ma…

Ynte Vanderhoydonc onbezoldigd medewerker Publicaties Ynte Vanderhoydonc History-based road traffic anomaly detection using deep learning and real-world data Bron VEHITS 2024 : proceedings of the 10th International Conference on Vehicle Technology and Intelligent Transport Systems, May 2-4, 2024, An…

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…

Adrem Data Lab search menu search content Expertise Bittremieux Wout Dr. Bittremieux's research deals with developing advanced machine learning techniques to uncover novel knowledge from mass spectrometry-based proteomics and metabolomics data. While his current research mainly focuses on how deep l…

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 Statistical learning under cellwise contamin…

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 …

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…

Marilyn Roland Publicaties Marilyn Roland Monitoring of carbon-water fluxes at Eurasian meteorological stations using random forest and remote sensing Bron Scientific Data - ISSN 2052-4463-10:1 (2023) p. 1-18 Auteur(s) Mingjuan Xie, Xiaofei Ma, Yuangang Wang, Chaofan Li, Haiyang Shi, Xiuliang Yuan, …

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…

Ynte Vanderhoydonc unpaid staff Publications Ynte Vanderhoydonc History-based road traffic anomaly detection using deep learning and real-world data Source VEHITS 2024 : proceedings of the 10th International Conference on Vehicle Technology and Intelligent Transport Systems, May 2-4, 2024, Angers, F…

Len Feremans postdoc researcher FWO Publications Len Feremans Pattern-based time series semantic segmentation with gradual state transitions Source SIAM International Conference on Data Mining (SDM), APR 18-20, 2024, Houston, TX- (2024) p. 316-324 Author(s) Louis Carpentier, Len Feremans, Wannes Mee…

Marc De Ceuster professor Publications Marc De Ceuster Does time series momentum also exist outside traditional financial markets? Near-laboratory evidence from sports betting Source Journal of behavioral and experimental economics - ISSN 2214-8043-104 (2023) p. 1-15 Author(s) Jonas Vandenbruaene, M…

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 …

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…

Particle Physics Group search menu search content SoLid experiment Belgian scientists use new technology in search for elementary particles SoLid Collaboration BR2 vessel SCK-CEN prev 1 / 3 next SoLid Experiment For the first time neutrino oscillations will be measured at very short distances from t…

Joke Muys unpaid guest prof. Research Joke Muys Research team Global Health Institute (GHI) The Belgian prenatal microarray database (BEMAPRE): realization of the database, determination of genotype-phenotype correlations and postnatal follow-up. 01/10/2016 - 30/09/2018 Abstract In Belgium, samples …

Bettina Blaumeiser associate professor Research Bettina Blaumeiser Research team Medical Genetics (MEDGEN) The Belgian prenatal microarray database (BEMAPRE): realization of the database, determination of genotype-phenotype correlations and postnatal follow-up. 01/10/2016 - 30/09/2018 Abstract In Be…

Antwerp Center on Responsible AI search menu search content Researchers Chairs: Prof. dr. Toon Calders and Prof. dr. David Martens ■ initiators of ACRAI ■ initiators of the DigiTax Centre of Excellence ■ full professor at the Science Faculty (Department of Computer Science), and the Faculty of…

Marilyn Roland Publications Marilyn Roland Monitoring of carbon-water fluxes at Eurasian meteorological stations using random forest and remote sensing Source Scientific Data - ISSN 2052-4463-10:1 (2023) p. 1-18 Author(s) Mingjuan Xie, Xiaofei Ma, Yuangang Wang, Chaofan Li, Haiyang Shi, Xiuliang Yua…