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Trust, distrust, and appropriate reliance in (X)AI: a survey of empirical evaluation of user trust.

, , , and . CoRR, (2023)

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Optimal local rejection for classifiers., , and . Neurocomputing, (2016)Incremental on-line learning: A review and comparison of state of the art algorithms., , and . Neurocomputing, (2018)Randomizing the Self-Adjusting Memory for Enhanced Handling of Concept Drift., , , and . IJCNN, page 1-8. IEEE, (2020)Drift Detection in Text Data with Document Embeddings, , , , , , and . Intelligent Data Engineering and Automated Learning -- IDEAL 2021, Springer International Publishing, (2021)Contrasting Explanations for Understanding and Regularizing Model Adaptations., , , , and . Neural Process. Lett., 55 (5): 5273-5297 (October 2023)Dimensionality reduction mappings., , and . CIDM, page 349-356. IEEE, (2011)Distance Learning in Discriminative Vector Quantization., , and . Neural Comput., 21 (10): 2942-2969 (2009)Adaptive Relevance Matrices in Learning Vector Quantization., , and . Neural Comput., 21 (12): 3532-3561 (2009)A General Framework for Dimensionality-Reducing Data Visualization Mapping., , and . Neural Comput., 24 (3): 771-804 (2012)Recurrent Neural Networks with Small Weights Implement Definite Memory Machines., and . Neural Comput., 15 (8): 1897-1929 (2003)