The Impact of Missing Labels and Overlapping Sound Events on Multi-label Multi-instance Learning for Sound Event Classification. - Maarten Meire; Peter Karsmakers; Lode Vuegen (DCASE, 2019)

Comparison of Deep Autoencoder Architectures for Real-time Acoustic Based Anomaly Detection in Assets. - Maarten Meire; Peter Karsmakers (IDAACS, 2019)

Unsupervised Machine Learning Methods to Estimate a Health Indicator for Condition Monitoring Using Acoustic and Vibration Signals: A Comparison Based on a Toy Data Set from a Coffee Vending Machine. - Yonas Y. Tefera; Maarten Meire; Stijn Luca; Peter Karsmakers (IoT Streams/ITEM@PKDD/ECML, 2020)

Constraint-Guided Learning of Data-driven Health Indicator Models: An Application on the Pronostia Bearing Dataset. - Yonas Y. Tefera; Quinten Van Baelen; Maarten Meire; Stijn Luca; Peter Karsmakers (CoRR, 2025)

Constraint guided autoencoders for joint optimization of condition indicator estimation and anomaly detection in machine condition monitoring. - Maarten Meire; Quinten Van Baelen; Ted Ooijevaar; Peter Karsmakers (Mach. Learn., 2025)