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On the Similarity of Deep Learning Representations Across Didactic and Adversarial Examples., and . CoRR, (2020)Performance comparison of machine learning algorithms and number of independent components used in fMRI decoding of belief vs. disbelief., , , and . NeuroImage, 56 (2): 544-553 (2011)Visual Episodic Memory-based Exploration., , , and . FLAIRS, AAAI Press, (2023)Characterising seizures in anti-NMDA-receptor encephalitis with dynamic causal modelling., , , , , and . NeuroImage, (2015)Real-Time Functional MRI Classification of Brain States Using Markov-SVM Hybrid Models: Peering Inside the rt-fMRI Black Box., , , , and . MLINI, volume 7263 of Lecture Notes in Computer Science, page 242-255. Springer, (2011)Visual Episodic Memory-based Exploration., , , and . CoRR, (2024)Leveraging Evolutionary Algorithms for Feasible Hexapod Locomotion Across Uneven Terrain., , and . FLAIRS, (2022)Feature Fallacy: Complications with Interpreting Linear Decoding Weights in fMRI., and . Explainable AI, volume 11700 of Lecture Notes in Computer Science, Springer, (2019)Balancing Clinical and Pathologic Relevance in the Machine Learning Diagnosis of Epilepsy., , , , , , , , , and 2 other author(s). PRNI, page 86-89. IEEE, (2013)Non-negative matrix factorization of multimodal MRI, fMRI and phenotypic data reveals differential changes in default mode subnetworks in ADHD., , , , , , , , and . NeuroImage, (2014)