Mathias Verbeke

According to our database, Mathias Verbeke authored at least 19 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Towards Contextual, Cost-Efficient Predictive Maintenance in Heavy-Duty Trucks.

Louis Carpentier, Arne De Temmerman, Mathias Verbeke

Proceedings of the Advances in Intelligent Data Analysis XXII, 2024

2023

Infrared hyperspectral analysis for non-invasive, inline fat content determination in bakery products.

Arne De Temmerman, Matthias De Ryck, Tom Hellemans, Mathias Verbeke

Proceedings of the 21st IEEE International Conference on Industrial Informatics, 2023

Multi-view contextual performance profiling in rotating machinery.

Fabian Fingerhut, Sarah Klein, Mathias Verbeke, Sreeraj Rajendran, Elena Tsiporkova

Proceedings of the IEEE International Conference on Prognostics and Health Management, 2023

2022

Framework to Evaluate Deep Learning Algorithms for Edge Inference and Training.

Tiberius-George Sorescu, Chandrakanth R. Kancharla, Jeroen Boydens, Hans Hallez, Mathias Verbeke

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022

2020

Process mining on machine event logs for profiling abnormal behaviour and root cause analysis.

Jonas Maeyens, Annemie Vorstermans, Mathias Verbeke

Ann. des Télécommunications, 2020

An unsupervised methodology for online drift detection in multivariate industrial datasets.

Sarah Klein, Mathias Verbeke

Proceedings of the 20th International Conference on Data Mining Workshops, 2020

2019

A Machine Learning-Based Approach for Predicting Tool Wear in Industrial Milling Processes.

Mathias Van Herreweghe, Mathias Verbeke, Wannes Meert, Tom Jacobs

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

2016

Energy consumption profiling using Gaussian processes.

Christiaan Leysen, Mathias Verbeke, Pierre Dagnely, Wannes Meert

Proceedings of the 8th IEEE International Conference on Intelligent Systems, 2016

2015

Inducing Probabilistic Relational Rules from Probabilistic Examples.

Luc De Raedt, Anton Dries, Ingo Thon, Guy Van den Broeck, Mathias Verbeke

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

2014

Lazy and Eager Relational Learning Using Graph-Kernels.

Mathias Verbeke, Vincent Van Asch, Walter Daelemans, Luc De Raedt

Proceedings of the Statistical Language and Speech Processing, 2014

KUL-Eval: A Combinatory Categorial Grammar Approach for Improving Semantic Parsing of Robot Commands using Spatial Context.

Willem Mattelaer, Mathias Verbeke, Davide Nitti

Proceedings of the 8th International Workshop on Semantic Evaluation, 2014

Relational Regularization and Feature Ranking.

Fabrizio Costa, Mathias Verbeke, Luc De Raedt

Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

kLogNLP: Graph Kernel-based Relational Learning of Natural Language.

Mathias Verbeke, Paolo Frasconi, Kurt De Grave, Fabrizio Costa, Luc De Raedt

Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2013

Combining Text Mining Techniques for QA4MRE 2013.

Guilherme de Oliveira da Costa Marques, Mathias Verbeke

Proceedings of the Working Notes for CLEF 2013 Conference , 2013

2012

How to Carve up the World: Learning and Collaboration for Structure Recommendation.

Mathias Verbeke, Ilija Subasic, Bettina Berendt

Proceedings of the Ubiquitous Social Media Analysis, 2012

A Statistical Relational Learning Approach to Identifying Evidence Based Medicine Categories.

Mathias Verbeke, Vincent Van Asch, Roser Morante, Paolo Frasconi, Walter Daelemans, Luc De Raedt

Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012

A Text Mining Approach as Baseline for QA4MRE'12.

Mathias Verbeke, Jesse Davis

Proceedings of the CLEF 2012 Evaluation Labs and Workshop, 2012

2011

Kernel-Based Logical and Relational Learning with kLog for Hedge Cue Detection.

Mathias Verbeke, Paolo Frasconi, Vincent Van Asch, Roser Morante, Walter Daelemans, Luc De Raedt

Proceedings of the Inductive Logic Programming - 21st International Conference, 2011

2009

Data Mining, Interactive Semantic Structuring, and Collaboration: A Diversity-aware Method for Sense-making in Search.

Mathias Verbeke, Bettina Berendt, Siegfried Nijssen

Proceedings of First International Workshop on Living Web, 2009