Data Mining, Interactive Semantic Structuring, and Collaboration: A Diversity-aware Method for Sense-making in Search. - Mathias Verbeke; Bettina Berendt; Siegfried Nijssen (LivingWeb@ISWC, 2009)

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 (ILP, 2011)

A Text Mining Approach as Baseline for QA4MRE'12. - Mathias Verbeke; Jesse Davis (CLEF (Online Working Notes/Labs/Workshop), 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 (EMNLP-CoNLL, 2012)

How to Carve up the World: Learning and Collaboration for Structure Recommendation. - Mathias Verbeke; Ilija Subasic; Bettina Berendt (MSM/MUSE, 2012)

Combining Text Mining Techniques for QA4MRE 2013. - Guilherme de Oliveira da Costa Marques; Mathias Verbeke (CLEF (Working Notes), 2013)

kLogNLP: Graph Kernel-based Relational Learning of Natural Language. - Mathias Verbeke; Paolo Frasconi; Kurt De Grave; Fabrizio Costa; Luc De Raedt (ACL (System Demonstrations), 2014)

Relational Regularization and Feature Ranking. - Fabrizio Costa; Mathias Verbeke; Luc De Raedt (SDM, 2014)

KUL-Eval: A Combinatory Categorial Grammar Approach for Improving Semantic Parsing of Robot Commands using Spatial Context. - Willem Mattelaer; Mathias Verbeke; Davide Nitti 001 (SemEval@COLING, 2014)

Lazy and Eager Relational Learning Using Graph-Kernels. - Mathias Verbeke; Vincent Van Asch; Walter Daelemans; Luc De Raedt (SLSP, 2014)

Inducing Probabilistic Relational Rules from Probabilistic Examples. - Luc De Raedt; Anton Dries; Ingo Thon; Guy Van den Broeck; Mathias Verbeke (IJCAI, 2015)

Energy consumption profiling using Gaussian processes. - Christiaan Leysen; Mathias Verbeke; Pierre Dagnely; Wannes Meert (IEEE Conf. on Intelligent Systems, 2016)

A Machine Learning-Based Approach for Predicting Tool Wear in Industrial Milling Processes. - Mathias Van Herreweghe; Mathias Verbeke; Wannes Meert; Tom Jacobs (PKDD/ECML Workshops (2), 2019)

An unsupervised methodology for online drift detection in multivariate industrial datasets. - Sarah Klein; Mathias Verbeke (ICDM (Workshops), 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)

Framework to Evaluate Deep Learning Algorithms for Edge Inference and Training. - Tiberius-George Sorescu; Chandrakanth R. Kancharla; Jeroen Boydens; Hans Hallez; Mathias Verbeke (PKDD/ECML Workshops (1), 2022)

Multi-view contextual performance profiling in rotating machinery. - Fabian Fingerhut; Sarah Klein; Mathias Verbeke; Sreeraj Rajendran; Elena Tsiporkova (ICPHM, 2023)

Infrared hyperspectral analysis for non-invasive, inline fat content determination in bakery products. - Arne De Temmerman; Matthias De Ryck; Tom Hellemans; Mathias Verbeke (INDIN, 2023)

Unsupervised context-sensitive anomaly detection on streaming data relying on multi-view profiling. - Fabian Fingerhut; Mathias Verbeke; Elena Tsiporkova (EAIS, 2024)

Towards Contextual, Cost-Efficient Predictive Maintenance in Heavy-Duty Trucks. - Louis Carpentier; Arne De Temmerman; Mathias Verbeke (IDA (2), 2024)

Pattern-based Time Series Semantic Segmentation with Gradual State Transitions. - Louis Carpentier; Len Feremans; Wannes Meert; Mathias Verbeke (SDM, 2024)

Data-driven models with physical interpretability for real-time cavity profile prediction in electrochemical machining processes. - Ming Wu 008; Zequan Yao; Mathias Verbeke; Peter Karsmakers; Benjamin Gorissen; Dominiek Reynaerts (Eng. Appl. Artif. Intell., 2025)

dtaianomaly: A Python library for time series anomaly detection. - Louis Carpentier; Nick Seeuws; Wannes Meert; Mathias Verbeke (CoRR, 2025)

Enhancing the dependability of autonomous surface vehicles through robustness benchmarking of real-time object detection models. - Yunjia Wang; Zihao Zhang; Kaizheng Wang; Holger Caesar; Jeroen Boydens; Davy Pissoort; Mathias Verbeke (Expert Syst. Appl., 2026)