Self-Organizing Maps for the Analysis of Complex Movement Patterns. - Hans-Ulrich Bauer; Wolfgang Immanuel Schöllhorn (Neural Process. Lett., 1997)

Coordination Dynamics and its Consequences on Sports. - Wolfgang Immanuel Schöllhorn (Int. J. Comput. Sci. Sport, 2003)

A quantitative dynamical systems approach to differential learning: self-organization principle and order parameter equations. - Till D. Frank; M. Michelbrink; Hendrik Beckmann; Wolfgang Immanuel Schöllhorn (Biol. Cybern., 2008)

Künstliche Neuronale Netz-Modelle in der Sportwissenschaft. - Wolfgang Immanuel Schöllhorn; Daniel Janssen; Jörg M. Jäger (Sportinformatik gestern, heute, morgen, 2010)

What is Unique in Individual Gait Patterns? Understanding and Interpreting Deep Learning in Gait Analysis. - Fabian Horst; Sebastian Lapuschkin; Wojciech Samek; Klaus-Robert Müller; Wolfgang Immanuel Schöllhorn (CoRR, 2018)

Systematic Comparison of the Influence of Different Data Preprocessing Methods on the Classification of Gait Using Machine Learning. - Johannes Burdack; Fabian Horst; Sven Giesselbach; Ibrahim Hassan; Sabrina Daffner; Wolfgang Immanuel Schöllhorn (CoRR, 2019)

On the Understanding and Interpretation of Machine Learning Predictions in Clinical Gait Analysis Using Explainable Artificial Intelligence. - Fabian Horst; Djordje Slijepcevic; Sebastian Lapuschkin; Anna-Maria Raberger; Matthias Zeppelzauer; Wojciech Samek; Christian Breiteneder; Wolfgang Immanuel Schöllhorn; Brian Horsak (CoRR, 2019)

Explaining automated gender classification of human gait. - Fabian Horst; Djordje Slijepcevic; Matthias Zeppelzauer; Anna-Maria Raberger; Sebastian Lapuschkin; Wojciech Samek; Wolfgang Immanuel Schöllhorn; Christian Breiteneder; Brian Horsak (CoRR, 2022)

Explaining machine learning models for age classification in human gait analysis. - Djordje Slijepcevic; Fabian Horst; Marvin Simak; Sebastian Lapuschkin; Anna-Maria Raberger; Wojciech Samek; Christian Breiteneder; Wolfgang Immanuel Schöllhorn; Matthias Zeppelzauer; Brian Horsak (CoRR, 2022)

Explaining Machine Learning Models for Clinical Gait Analysis. - Djordje Slijepcevic; Fabian Horst; Sebastian Lapuschkin; Brian Horsak; Anna-Maria Raberger; Andreas Kranzl; Wojciech Samek; Christian Breiteneder; Wolfgang Immanuel Schöllhorn; Matthias Zeppelzauer (ACM Trans. Comput. Heal., 2022)

Decoding Gait Signatures: Exploring Individual Patterns in Pathological Gait Using Explainable AI. - Djordje Slijepcevic; Fabian Horst; Marvin Simak; Wolfgang Immanuel Schöllhorn; Brian Horsak; Matthias Zeppelzauer (IEEE Access, 2024)