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On the Similarity of Deep Learning Representations Across Didactic and Adversarial Examples., and . CoRR, (2020)The utility of data-driven feature selection: Re: Chu et al. 2012., , , and . NeuroImage, (2014)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)Large sample group independent component analysis of functional magnetic resonance imaging using anatomical atlas-based reduction and bootstrapped clustering., , , , , , , , and . Int. J. Imaging Syst. Technol., 21 (2): 223-231 (2011)Visual Episodic Memory-based Exploration., , , and . FLAIRS, AAAI Press, (2023)Decoding the Encoding of Functional Brain Networks: an fMRI Classification Comparison of Non-negative Matrix Factorization (NMF), Independent Component Analysis (ICA), and Sparse Coding Algorithms., , , , and . CoRR, (2016)Characterising seizures in anti-NMDA-receptor encephalitis with dynamic causal modelling., , , , , and . NeuroImage, (2015)Preventing antisocial robots: A pathway to artificial empathy., , , , , , , , , and . Sci. Robotics, (July 2023)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)Diurnal variations of resting-state fMRI data: A graph-based analysis., , , , , , , , and . NeuroImage, (2022)