Concept and design of a reconfigurable parallel processing system for digital audio. - Matthias Rosenthal (Hartung-Gorre, 1997)

Wave field synthesis with synchronous distributed signal processing. - Renato S. Pellegrini; Matthias Rosenthal (MMSP, 2004)

Deep Learning for Classifying Food Waste. - Amin Mazloumian; Matthias Rosenthal; Hans Gelke (CoRR, 2020)

A Survey of Un-, Weakly-, and Semi-Supervised Learning Methods for Noisy, Missing and Partial Labels in Industrial Vision Applications. - Niclas Simmler; Pascal Sager; Philipp Andermatt; Ricardo Chavarriaga; Frank-Peter Schilling; Matthias Rosenthal; Thilo Stadelmann (SDS, 2021)

A Comprehensive Survey of Deep Transfer Learning for Anomaly Detection in Industrial Time Series: Methods, Applications, and Directions. - Peng Yan 006; Ahmed Abdulkadir; Matthias Rosenthal; Gerrit A. Schatte; Benjamin F. Grewe; Thilo Stadelmann (CoRR, 2023)

A Comprehensive Survey of Deep Transfer Learning for Anomaly Detection in Industrial Time Series: Methods, Applications, and Directions. - Peng Yan 006; Ahmed Abdulkadir; Paul-Philipp Luley; Matthias Rosenthal; Gerrit A. Schatte; Benjamin F. Grewe; Thilo Stadelmann (IEEE Access, 2024)

Learning Actionable World Models for Industrial Process Control. - Peng Yan 006; Ahmed Abdulkadir; Gerrit A. Schatte; Giulia Aguzzi; Joonsu Gha; Nikola Pascher; Matthias Rosenthal; Yunlong Gao 001; Benjamin F. Grewe; Thilo Stadelmann (SDS, 2025)

Multimodal Autoregressive U-Net Transformer Architecture for Pixelwise Image and Text Conditioning (MUT). - Dávid Isztl; Matthias Rosenthal (SDS, 2025)