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A Combination of Fourier Transform and Machine Learning for Fault Detection and Diagnosis of Induction Motors2021 International Conference on Dependable Systems and Their Applications (DSA) conference-paper Engineering Machine Fault Diagnosis Techniques Open access
Văn Đức Nguyễn, Ewout Zwanenburg, Steffen Limmer, Wessel Luijben, Thomas Bäck, Markus Olhofer
15citations -
Towards Time-Series Feature Engineering in Automated Machine Learning for Multi-Step-Ahead Forecasting2022 International Conference on Time Series and Forecasting (ITISE) conference-paper Computer Science Time Series Analysis and Forecasting Open access
Can Wang, Mitra Baratchi, Thomas Bäck, Holger H. Hoos, Steffen Limmer, Markus Olhofer
31citations -
X-ray tomography, digital volume correlation and FE modelling: A synergistic combination to study the processing-structure-property relations in ductile iron2020 IOP Conference Series Materials Science and Engineering conference-paper Engineering Microstructure and Mechanical Properties of Steels Open access
Tito Andriollo, Yubin Zhang, Søren Fæster, Jesper Thorborg, Niels Skat Tiedje, Varvara G. Kouznetsova, +1 more
0citations -
Learning multimodal explainable AI models from medical images and tabular data: proof of concept2025 SPIE Medical Imaging: Image Processing conference-paper Computer Science Explainable Artificial Intelligence (XAI)
Mafalda Malafaia, Thalea Schlender, Peter A. N. Bosman, Tanja Alderliesten
0citations -
Measuring the Impact of (Psycho-)Linguistic and Readability Features and Their Spill Over Effects on the Prediction of Eye Movement Patterns14citations
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Detecting Ransomware Despite I/O Overhead: A Practical Multi-Staged Approach2025 Network and Distributed System Security Symposium conference-paper Computer Science Advanced Malware Detection Techniques Open access
Christian van Sloun, Vincent Woeste, Konrad Wolsing, Jan Pennekamp, Klaus Wehrle
8citations -
How Does Chain of Thought Think? Mechanistic Interpretability of Chain-of-Thought Reasoning with Sparse Autoencoding0citations
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GL-ICNN: An End-To-End Interpretable Convolutional Neural Network for the Diagnosis and Prediction of Alzheimer's Disease2025 IEEE International Symposium on Biomedical Imaging (ISBI) conference-paper Medicine Dementia and Cognitive Impairment Research Open access
Wenjie Kang, Lize Corrine Jiskoot, Peter Paul De Deyn, Geert Jan Biessels, Huiberdina L. Koek, Jurgen A.H.R. Claassen, +5 more
4citations -
A Step towards Interpretable Multimodal AI Models with MultiFIX2025 Genetic and Evolutionary Computation Conference Companion (GECCO Companion) conference-paper Computer Science Explainable Artificial Intelligence (XAI) Open access
Mafalda Malafaia, Thalea Schlender, Tanja Alderliesten, Peter A. N. Bosman
0citations -
Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly Detection261citations