Mathias Verbeke

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 12

Top Topics

Gaussian Process

Probabilistic Relational

State Transitions

Top Venues

PKDD/ECML Workshops (1)

Publications

Louis Carpentier, Arne De Temmerman, Mathias Verbeke
Towards Contextual, Cost-Efficient Predictive Maintenance in Heavy-Duty Trucks. IDA (2) (2024)
Fabian Fingerhut, Mathias Verbeke, Elena Tsiporkova
Unsupervised context-sensitive anomaly detection on streaming data relying on multi-view profiling. EAIS (2024)
Louis Carpentier, Len Feremans, Wannes Meert, Mathias Verbeke
Pattern-based Time Series Semantic Segmentation with Gradual State Transitions. SDM (2024)
Arne De Temmerman, Matthias De Ryck, Tom Hellemans, Mathias Verbeke
Infrared hyperspectral analysis for non-invasive, inline fat content determination in bakery products. INDIN (2023)
Fabian Fingerhut, Sarah Klein, Mathias Verbeke, Sreeraj Rajendran, Elena Tsiporkova
Multi-view contextual performance profiling in rotating machinery. ICPHM (2023)
Tiberius-George Sorescu, Chandrakanth R. Kancharla, Jeroen Boydens, Hans Hallez, Mathias Verbeke
Framework to Evaluate Deep Learning Algorithms for Edge Inference and Training. PKDD/ECML Workshops (1) (2022)
Jonas Maeyens, Annemie Vorstermans, Mathias Verbeke
Process mining on machine event logs for profiling abnormal behaviour and root cause analysis. Ann. des Télécommunications 75 (9-10) (2020)
Sarah Klein, Mathias Verbeke
An unsupervised methodology for online drift detection in multivariate industrial datasets. ICDM (Workshops) (2020)
Mathias Van Herreweghe, Mathias Verbeke, Wannes Meert, Tom Jacobs
A Machine Learning-Based Approach for Predicting Tool Wear in Industrial Milling Processes. PKDD/ECML Workshops (2) (2019)
Mathias Van Herreweghe, Mathias Verbeke, Wannes Meert, Tom Jacobs
A Machine Learning-Based Approach for Predicting Tool Wear in Industrial Milling Processes. BNAIC/BENELEARN (2019)
Christiaan Leysen, Mathias Verbeke, Pierre Dagnely, Wannes Meert
Energy consumption profiling using Gaussian processes. IEEE Conf. on Intelligent Systems (2016)
Luc De Raedt, Anton Dries, Ingo Thon, Guy Van den Broeck, Mathias Verbeke
Inducing Probabilistic Relational Rules from Probabilistic Examples. IJCAI (2015)
Mathias Verbeke, Vincent Van Asch, Walter Daelemans, Luc De Raedt
Lazy and Eager Relational Learning Using Graph-Kernels. SLSP (2014)
Fabrizio Costa, Mathias Verbeke, Luc De Raedt
Relational Regularization and Feature Ranking. SDM (2014)
Willem Mattelaer, Mathias Verbeke, Davide Nitti
KUL-Eval: A Combinatory Categorial Grammar Approach for Improving Semantic Parsing of Robot Commands using Spatial Context. SemEval@COLING (2014)
Mathias Verbeke, Paolo Frasconi, Kurt De Grave, Fabrizio Costa, Luc De Raedt
kLogNLP: Graph Kernel-based Relational Learning of Natural Language. ACL (System Demonstrations) (2014)
Guilherme de Oliveira da Costa Marques, Mathias Verbeke
Combining Text Mining Techniques for QA4MRE 2013. CLEF (Working Notes) (2013)
Mathias Verbeke, Ilija Subasic, Bettina Berendt
How to Carve up the World: Learning and Collaboration for Structure Recommendation. MSM/MUSE (2012)
Mathias Verbeke, Vincent Van Asch, Roser Morante, Paolo Frasconi, Walter Daelemans, Luc De Raedt
A Statistical Relational Learning Approach to Identifying Evidence Based Medicine Categories. EMNLP-CoNLL (2012)
Mathias Verbeke, Jesse Davis
A Text Mining Approach as Baseline for QA4MRE'12. CLEF (Online Working Notes/Labs/Workshop) (2012)
Mathias Verbeke, Paolo Frasconi, Vincent Van Asch, Roser Morante, Walter Daelemans, Luc De Raedt
Kernel-Based Logical and Relational Learning with kLog for Hedge Cue Detection. ILP (2011)
Mathias Verbeke, Bettina Berendt, Siegfried Nijssen
Data Mining, Interactive Semantic Structuring, and Collaboration: A Diversity-aware Method for Sense-making in Search. LivingWeb@ISWC (2009)