Mathias Verbeke

Orcid: 0000-0001-8297-6071

According to our database1, Mathias Verbeke authored at least 21 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Pattern-based Time Series Semantic Segmentation with Gradual State Transitions.
Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

Towards Contextual, Cost-Efficient Predictive Maintenance in Heavy-Duty Trucks.
Proceedings of the Advances in Intelligent Data Analysis XXII, 2024

Unsupervised context-sensitive anomaly detection on streaming data relying on multi-view profiling.
Proceedings of the IEEE International Conference on Evolving and Adaptive Intelligent Systems, 2024

2023
Infrared hyperspectral analysis for non-invasive, inline fat content determination in bakery products.
Proceedings of the 21st IEEE International Conference on Industrial Informatics, 2023

Multi-view contextual performance profiling in rotating machinery.
Proceedings of the IEEE International Conference on Prognostics and Health Management, 2023

2022
Framework to Evaluate Deep Learning Algorithms for Edge Inference and Training.
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.
Ann. des Télécommunications, 2020

An unsupervised methodology for online drift detection in multivariate industrial datasets.
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.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

2016
Energy consumption profiling using Gaussian processes.
Proceedings of the 8th IEEE International Conference on Intelligent Systems, 2016

2015
Inducing Probabilistic Relational Rules from Probabilistic Examples.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

2014
Lazy and Eager Relational Learning Using Graph-Kernels.
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.
Proceedings of the 8th International Workshop on Semantic Evaluation, 2014

Relational Regularization and Feature Ranking.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

kLogNLP: Graph Kernel-based Relational Learning of Natural Language.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2013
Combining Text Mining Techniques for QA4MRE 2013.
Proceedings of the Working Notes for CLEF 2013 Conference , 2013

2012
How to Carve up the World: Learning and Collaboration for Structure Recommendation.
Proceedings of the Ubiquitous Social Media Analysis, 2012

A Statistical Relational Learning Approach to Identifying Evidence Based Medicine Categories.
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.
Proceedings of the CLEF 2012 Evaluation Labs and Workshop, 2012

2011
Kernel-Based Logical and Relational Learning with kLog for Hedge Cue Detection.
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.
Proceedings of First International Workshop on Living Web, 2009


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