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Analysing Humanly Generated Random Number Sequences: A Pattern-Based Approach

, , , and . PLoS ONE, 7 (7): e41531 (July 2012)

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Analysing Humanly Generated Random Number Sequences: A Pattern-Based Approach, , , and . PLoS ONE, 7 (7): e41531 (July 2012)Identifying confounders in deep-learning-based model predictions using DeepRepViz., , , , , and . CoRR, (2023)Promises and pitfalls of deep neural networks in neuroimaging-based psychiatric research., , , , and . CoRR, (2023)Clusters in Explanation Space: Inferring disease subtypes from model explanations., , , , and . CoRR, (2019)FIMAP: Feature Importance by Minimal Adversarial Perturbation., , , , and . AAAI, page 11433-11441. AAAI Press, (2021)TLIMB - A Transfer Learning Framework for IMage Analysis of the Brain., , , , , , and . EDBT/ICDT Workshops, volume 3651 of CEUR Workshop Proceedings, CEUR-WS.org, (2024)EMAP: Explanation by Minimal Adversarial Perturbation., , , and . CoRR, (2019)Data Augmentation via Partial Nonlinear Registration for Brain-Age Prediction., , , , and . MLCN@MICCAI, volume 13596 of Lecture Notes in Computer Science, page 169-178. Springer, (2022)Label scarcity in biomedicine: Data-rich latent factor discovery enhances phenotype prediction., , , , and . CoRR, (2021)