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)

Mind the Steps: Towards Auditory Feedback in Tele-Rehabilitation Based on Automated Gait Classification. - Michael Iber; Bernhard Dumphart; Victor Adriel de Jesus Oliveira; Stefan Ferstl; Joschua M. Reis; Djordje Slijepcevic; Mario Heller; Anna-Maria Raberger; Brian Horsak (Audio Mostly Conference, 2021)

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)

Auditory feedback in tele-rehabilitation based on automated gait classification. - Victor Adriel de Jesus Oliveira; Djordje Slijepcevic; Bernhard Dumphart; Stefan Ferstl; Joschua M. Reis; Anna-Maria Raberger; Mario Heller; Brian Horsak; Michael Iber (Pers. Ubiquitous Comput., 2023)