Mathias Verbeke

34 papers A* 3A 2B 2C 1Journal 6Unranked 20
YearRankTypeTitle / Venue / Authors
2026 J jnl
Enhancing the dependability of autonomous surface vehicles through robustness benchmarking of real-time object detection models.
Expert Syst. Appl.
Yunjia Wang, Zihao Zhang, Kaizheng Wang, Holger Caesar, Jeroen Boydens, Davy Pissoort, Mathias Verbeke
2026 A* conf
InTimeAD: Interactive Time Series Anomaly Detection.
AAAI
Louis Carpentier, Wannes Meert, Mathias Verbeke
2026 A* conf
Koopman Invariants as Drivers of Emergent Time-Series Clustering in Joint-Embedding Predictive Architectures.
AAAI
Pablo Ruiz-Morales, Dries Vanoost, Davy Pissoort, Mathias Verbeke
2025 — conf
AMLOP: A Framework for the Operational Safety Assurance of Machine Learning Leveraging Model Monitoring.
CAI
Yunjia Wang, Laure Buysse, Dries Vanoost, Davy Pissoort, Jeroen Boydens, Mathias Verbeke
2025 B conf
Anomaly Detection Under Contaminated Data: A Weighted Iterative Refinement Framework for Health Monitoring.
DSAA
Stefano Donné, Jesse Davis, Filip Van Utterbeeck, Mathias Verbeke
2025 J jnl
Data-driven models with physical interpretability for real-time cavity profile prediction in electrochemical machining processes.
Eng. Appl. Artif. Intell.
Ming Wu, Zequan Yao, Mathias Verbeke, Peter Karsmakers, Benjamin Gorissen, Dominiek Reynaerts
2025 — conf
Disentangled Latent Space-based Drift Detection for Efficient Model Monitoring in Edge MLOps.
MLOps@ECAI
Lara Luys, Mathias Verbeke
2025 J jnl
Handling uncertainty with parametric surrogate-assisted optimization for dynamic multi-objective problems.
Neural Comput. Appl.
Arne De Temmerman, Matthias De Ryck, Mathias Verbeke
2025 J jnl
Koopman Invariants as Drivers of Emergent Time-Series Clustering in Joint-Embedding Predictive Architectures.
CoRR
Pablo Ruiz-Morales, Dries Vanoost, Davy Pissoort, Mathias Verbeke
2025 — conf
MTL-SIMNAS: Task Similarity-Driven Neural Architecture Search for Enhanced Multi-task Learning.
ICANN (1)
Quinten Danneels, Mathias Verbeke
2025 J jnl
dtaianomaly: A Python library for time series anomaly detection.
CoRR
Louis Carpentier, Nick Seeuws, Wannes Meert, Mathias Verbeke
2024 — conf
Navigating the Waters of Object Detection: Evaluating the Robustness of Real-time Object Detection Models for Autonomous Surface Vehicles.
CAI
Yunjia Wang, Kaizheng Wang, Zihao Zhang, Jeroen Boydens, Davy Pissoort, Mathias Verbeke
2024 A conf
Pattern-based Time Series Semantic Segmentation with Gradual State Transitions.
SDM
Louis Carpentier, Len Feremans, Wannes Meert, Mathias Verbeke
2024 — conf
Towards Contextual, Cost-Efficient Predictive Maintenance in Heavy-Duty Trucks.
IDA (2)
Louis Carpentier, Arne De Temmerman, Mathias Verbeke
2024 — conf
Unsupervised context-sensitive anomaly detection on streaming data relying on multi-view profiling.
EAIS
Fabian Fingerhut, Mathias Verbeke, Elena Tsiporkova
2023 C conf
Infrared hyperspectral analysis for non-invasive, inline fat content determination in bakery products.
INDIN
Arne De Temmerman, Matthias De Ryck, Tom Hellemans, Mathias Verbeke
2023 — conf
Multi-view contextual performance profiling in rotating machinery.
ICPHM
Fabian Fingerhut, Sarah Klein, Mathias Verbeke, Sreeraj Rajendran, Elena Tsiporkova
2022 — conf
Framework to Evaluate Deep Learning Algorithms for Edge Inference and Training.
PKDD/ECML Workshops (1)
Tiberius-George Sorescu, Chandrakanth R. Kancharla, Jeroen Boydens, Hans Hallez, Mathias Verbeke
2020 — conf
An unsupervised methodology for online drift detection in multivariate industrial datasets.
ICDM (Workshops)
Sarah Klein, Mathias Verbeke
2020 J jnl
Process mining on machine event logs for profiling abnormal behaviour and root cause analysis.
Ann. des Télécommunications
Jonas Maeyens, Annemie Vorstermans, Mathias Verbeke
2019 — conf
A Machine Learning-Based Approach for Predicting Tool Wear in Industrial Milling Processes.
BNAIC/BENELEARN
Mathias Van Herreweghe, Mathias Verbeke, Wannes Meert, Tom Jacobs
2019 — conf
A Machine Learning-Based Approach for Predicting Tool Wear in Industrial Milling Processes.
PKDD/ECML Workshops (2)
Mathias Van Herreweghe, Mathias Verbeke, Wannes Meert, Tom Jacobs
2016 — conf
Energy consumption profiling using Gaussian processes.
IEEE Conf. on Intelligent Systems
Christiaan Leysen, Mathias Verbeke, Pierre Dagnely, Wannes Meert
2015 A* conf
Inducing Probabilistic Relational Rules from Probabilistic Examples.
IJCAI
Luc De Raedt, Anton Dries, Ingo Thon, Guy Van den Broeck, Mathias Verbeke
2014 — conf
KUL-Eval: A Combinatory Categorial Grammar Approach for Improving Semantic Parsing of Robot Commands using Spatial Context.
SemEval@COLING
Willem Mattelaer, Mathias Verbeke, Davide Nitti
2014 — conf
Lazy and Eager Relational Learning Using Graph-Kernels.
SLSP
Mathias Verbeke, Vincent Van Asch, Walter Daelemans, Luc De Raedt
2014 A conf
Relational Regularization and Feature Ranking.
SDM
Fabrizio Costa, Mathias Verbeke, Luc De Raedt
2014 — conf
kLogNLP: Graph Kernel-based Relational Learning of Natural Language.
ACL (System Demonstrations)
Mathias Verbeke, Paolo Frasconi, Kurt De Grave, Fabrizio Costa, Luc De Raedt
2013 — conf
Combining Text Mining Techniques for QA4MRE 2013.
CLEF (Working Notes)
Guilherme de Oliveira da Costa Marques, Mathias Verbeke
2012 — conf
A Statistical Relational Learning Approach to Identifying Evidence Based Medicine Categories.
EMNLP-CoNLL
Mathias Verbeke, Vincent Van Asch, Roser Morante, Paolo Frasconi, Walter Daelemans, Luc De Raedt
2012 — conf
A Text Mining Approach as Baseline for QA4MRE'12.
CLEF (Online Working Notes/Labs/Workshop)
Mathias Verbeke, Jesse Davis
2012 — conf
How to Carve up the World: Learning and Collaboration for Structure Recommendation.
MSM/MUSE
Mathias Verbeke, Ilija Subasic, Bettina Berendt
2011 B conf
Kernel-Based Logical and Relational Learning with kLog for Hedge Cue Detection.
ILP
Mathias Verbeke, Paolo Frasconi, Vincent Van Asch, Roser Morante, Walter Daelemans, Luc De Raedt
2009 — conf
Data Mining, Interactive Semantic Structuring, and Collaboration: A Diversity-aware Method for Sense-making in Search.
LivingWeb@ISWC
Mathias Verbeke, Bettina Berendt, Siegfried Nijssen