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Why robots should be technical: Correcting mental models through technical architecture concepts.

, , , , и . CoRR, (2020)

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Jan Göpfert

Jan Göpfert

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André Göpfert

Jens Göpfert

 

Другие публикации лиц с тем же именем

Interpretation of linear classifiers by means of feature relevance bounds., , , и . Neurocomputing, (2018)How to Compare Adversarial Robustness of Classifiers from a Global Perspective., , и . ICANN (1), том 12891 из Lecture Notes in Computer Science, стр. 29-41. Springer, (2021)Recovering Localized Adversarial Attacks., , и . ICANN (1), том 11727 из Lecture Notes in Computer Science, стр. 302-311. Springer, (2019)Why robots should be technical: Correcting mental models through technical architecture concepts., , , , и . CoRR, (2020)Intuitiveness in Active Teaching., , , , и . CoRR, (2020)Robustness in Machine Learning: Adversarial Perturbations, Explanations & Intuition.. Bielefeld University, Germany, (2022)Locally Adaptive Nearest Neighbors., , и . ESANN, стр. 667-672. (2020)Prototype-Based Online Learning on Homogeneously Labeled Streaming Data., , , и . ICANN (2), том 12397 из Lecture Notes in Computer Science, стр. 204-213. Springer, (2020)Mitigating Concept Drift via Rejection., , и . ICANN (1), том 11139 из Lecture Notes in Computer Science, стр. 456-467. Springer, (2018)Intuitiveness in Active Teaching., , , , и . IEEE Trans. Hum. Mach. Syst., 52 (3): 458-467 (2022)