Trustworthiness and Confidence of Gait Phase Predictions in Changing Environments Using Interpretable Classifier Models

Danny Möbius, Jensun Ravichandran, Marika Kaden, Thomas Villmann. Trustworthiness and Confidence of Gait Phase Predictions in Changing Environments Using Interpretable Classifier Models. In Mohammad Tanveer 0001, Sonali Agarwal, Seiichi Ozawa, Asif Ekbal, Adam Jatowt, editors, Neural Information Processing - 29th International Conference, ICONIP 2022, Virtual Event, November 22-26, 2022, Proceedings, Part II. Volume 13624 of Lecture Notes in Computer Science, pages 379-390, Springer, 2022. [doi]

Abstract

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