Iterative Speech Enhancement using a Non-Linear Dynamic State Model of Speech and its Parameters. - Stefan Windmann; Reinhold Haeb-Umbach (ICASSP (1), 2006)

An approach to iterative speech feature enhancement and recognition. - Stefan Windmann; Reinhold Haeb-Umbach (INTERSPEECH, 2007)

Modeling the dynamics of speech and noise for speech feature enhancement in ASR. - Stefan Windmann; Reinhold Haeb-Umbach (ICASSP, 2008)

Ausnutzung zeitlicher Redundanzen der cepstralen Sprachmerkmale für die automatische Spracherkennung. - Stefan Windmann (2008)

Approaches to Iterative Speech Feature Enhancement and Recognition. - Stefan Windmann; Reinhold Haeb-Umbach (IEEE Trans. Speech Audio Process., 2009)

Parameter Estimation of a State-Space Model of Noise for Robust Speech Recognition. - Stefan Windmann; Reinhold Haeb-Umbach (IEEE Trans. Speech Audio Process., 2009)

The importance of model-learning for the analysis of the energy consumption of production plants. - Syed Shiraz Gilani; Stefan Windmann; Florian Pethig; Björn Kroll; Oliver Niggemann (ETFA, 2013)

A stochastic method for the detection of anomalous energy consumption in hybrid industrial systems. - Stefan Windmann; Shuo Jiao; Oliver Niggemann; Holger Borcherding (INDIN, 2013)

An FPGA based FIFO with efficient memory management. - Stefan Windmann; Jürgen Jasperneite (ETFA, 2015)

A HMM-based fault detection method for piecewise stationary industrial processes. - Stefan Windmann; Florian Jungbluth; Oliver Niggemann (ETFA, 2015)

MapReduce algorithms for efficient generation of CPS models from large historical data sets. - Stefan Windmann; Oliver Niggemann (ETFA, 2015)

Automatic model separation and application for diagnosis in industrial automation systems. - Stefan Windmann; Oliver Niggemann (ICIT, 2015)

Energy efficiency optimization by automatic coordination of motor speeds in conveying systems. - Stefan Windmann; Oliver Niggemann; Heiko Stichweh (ICIT, 2015)

Efficient fault detection for industrial automation processes with observable process variables. - Stefan Windmann; Oliver Niggemann (INDIN, 2015)

Evaluation of Model-Based Condition Monitoring Systems in Industrial Application Cases. - Stefan Windmann; Jens Eickmeyer; Florian Jungbluth; Johann Badinger; Oliver Niggemann (ML4CPS, 2015)

A GPU-based method for robust and efficient fault detection in industrial automation processes. - Stefan Windmann; Oliver Niggemann (INDIN, 2016)

Learning parallel automata of PLCs. - Stefan Windmann; Dorota Lang; Oliver Niggemann (ETFA, 2017)

A novel self-configuration method for RFID systems in industrial production environments. - Stefan Windmann; Oliver Niggemann; Holger Ruwe; Friedrich Becker (ETFA, 2017)

A self-configurable fault detection system for Industrial Ethernet networks. - Stefan Windmann; Oliver Niggemann (Autom., 2017)

Information Retrieval in Industrial Production Environments. - Stefan Windmann; Oliver Niggemann (ETFA, 2018)

Computation of energy efficient driving speeds in conveying systems. - Stefan Windmann; Oliver Niggemann; Heiko Stichweh (Autom., 2018)

Scalable Analytics Platform for Machine Learning in Smart Production Systems. - Khaled Al-Gumaei; Arthur Müller; Jan Nicolas Weskamp; Claudio Santo Longo; Florian Pethig; Stefan Windmann (ETFA, 2019)

Model-based routing in flexible manufacturing systems. - Stefan Windmann; Kaja Balzereit; Oliver Niggemann (Autom., 2019)

An Ensemble of Benchmarks for the Evaluation of AI Methods for Fault Handling in CPPS. - Kaja Balzereit; Alexander Diedrich; Jonas Ginster; Stefan Windmann; Oliver Niggemann (INDIN, 2021)

Learning Petri net models from sensor data of conveying systems based on the merging of prefix and postfix trees. - Stefan Windmann (Autom., 2022)

Data-Driven Fault Detection in Industrial Batch Processes Based on a Stochastic Hybrid Process Model. - Stefan Windmann (IEEE Trans Autom. Sci. Eng., 2022)

Optimization of a High Storage System with two Cranes per Aisle. - Niels Grüttemeier; Andreas Bunte; Stefan Windmann (INDIN, 2023)

Concepts and Measures Towards Trustworthy AI in Industrial Manufacturing. - Franziska Zelba; Kaja Balzereit; Stefan Windmann (ETFA, 2024)

Scalable Neighborhood Local Search for Single-Machine Scheduling with Family Setup Times. - Kaja Balzereit; Niels Grüttemeier; Nils Morawietz; Dennis Reinhardt; Stefan Windmann; Petra Wolf 002 (CoRR, 2024)

Quantum computer-aided job scheduling for storage and retrieval systems. - Stefan Windmann (Autom., 2024)

Fault detection in automated production systems based on a long short-term memory autoencoder. - Stefan Windmann; Tim Westerhold (Autom., 2024)

Petri net based diagnostic approach for concurrent discrete event systems. - Stefan Windmann (Autom., 2024)

Solving industrial fault diagnosis problems with quantum computers. - Alexander Diedrich; Stefan Windmann; Oliver Niggemann (Quantum Mach. Intell., 2024)

Physics-Informed Diffusion Models for Unsupervised Anomaly Detection in Multivariate Time Series. - Juhi Soni; Markus Lange-Hegermann; Stefan Windmann (CoRR, 2025)