Applying particle swarm optimization to software testing. - Andreas Windisch; Stefan Wappler; Joachim Wegener (GECCO, 2007)

Ideas on Signal Generation for Evolutionary Testing of Continuous Systems. - Andreas Windisch (Evolutionary Test Generation, 2008)

Evolutionary Structural Testing of Software with Pointers. - Maria Prutkina; Andreas Windisch (ICST Workshops, 2008)

Evolutionary functional testing of continuous control systems. - Andreas Windisch; Felix F. Lindlar; Sebastian Topuz; Stefan Wappler (GECCO, 2009)

Search-based testing of complex simulink models containing stateflow diagrams. - Andreas Windisch (ICSE Companion, 2009)

Temporal White-Box Testing Using Evolutionary Algorithms. - Noura Al Moubayed; Andreas Windisch (ICST Workshops, 2009)

Signal Generation for Search-Based Testing of Continuous Systems. - Andreas Windisch; Noura Al Moubayed (ICST Workshops, 2009)

Search-based test data generation from stateflow statecharts. - Andreas Windisch (GECCO, 2010)

Integrating Model-Based Testing with Evolutionary Functional Testing. - Felix F. Lindlar; Andreas Windisch; Joachim Wegener (ICST Workshops, 2010)

Industrial Scaled Automated Structural Testing with the Evolutionary Testing Tool. - Tanja E. J. Vos; Arthur I. Baars; Felix F. Lindlar; Peter M. Kruse; Andreas Windisch; Joachim Wegener (ICST, 2010)

Considering Signal Constraints in Search-Based Testing of Continuous Systems. - Benjamin Wilmes; Andreas Windisch (ICST Workshops, 2010)

Suchbasierter Strukturtest für Simulink Modelle. - Andreas Windisch (2011)

Industrial Case Studies for Evaluating Search Based Structural Testing. - Tanja E. J. Vos; Arthur I. Baars; Felix F. Lindlar; Andreas Windisch; Benjamin Wilmes; Hamilton Gross; Peter M. Kruse; Joachim Wegener (Int. J. Softw. Eng. Knowl. Eng., 2012)

Examining the analytic structure of Green's functions: Massive parallel complex integration using GPUs. - Andreas Windisch; Reinhard Alkofer; Gundolf Haase; Manfred Liebmann (Comput. Phys. Commun., 2013)

Evolutionary functional black-box testing in an industrial setting. - Tanja E. J. Vos; Felix F. Lindlar; Benjamin Wilmes; Andreas Windisch; Arthur I. Baars; Peter M. Kruse; Hamilton Gross; Joachim Wegener (Softw. Qual. J., 2013)

Deep reinforcement learning for complex evaluation of one-loop diagrams in quantum field theory. - Andreas Windisch; Thomas Gallien; Christopher Schwarzlmüller (CoRR, 2019)

A machine learning pipeline for autonomous numerical analytic continuation of Dyson-Schwinger equations. - Andreas Windisch; Thomas Gallien; Christopher Schwarzlmüller (CoRR, 2021)

Vehicle management in a modular production context using Deep Q-Learning. - Lucain Pouget; Timo Hasenbichler; Jakob Auer; Klaus Lichtenegger; Andreas Windisch (CoRR, 2022)

Automatic Detection of Interplanetary Coronal Mass Ejections in Solar Wind In Situ Data. - Hannah T. Rüdisser; Andreas Windisch; Ute V. Amerstorfer; Christian Möstl; Tanja Amerstorfer; Rachel L. Bailey; Martin A. Reiss (CoRR, 2022)

A Rayleigh-Ritz Autoencoder. - Anika Terbuch; Paul O'Leary; Dimitar Ninevski; Elias Jan Hagendorfer; Elke Schlager; Andreas Windisch; Christoph Schweimer (I2MTC, 2023)

Evaluation of Data Augmentation and Loss Functions in Semantic Image Segmentation for Drilling Tool Wear Detection. - Elke Schlager; Andreas Windisch; Lukas Hanna; Thomas Klünsner; Elias Jan Hagendorfer; Tamara Teppernegg (CoRR, 2023)

Evaluation of data augmentation and loss functions in semantic image segmentation for drilling tool wear detection. - Elke Schlager; Andreas Windisch; Lukas Hanna; Thomas Klünsner; Elias Jan Hagendorfer; Tamara Feil (J. Intell. Manuf., 2025)