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Text-mining the neurosynth corpus using deep boltzmann machines., , , , и . PRNI, стр. 1-4. IEEE, (2016)Deciding what to observe next: adaptive variable selection for regression in multivariate data streams., , и . SAC, стр. 961-965. ACM, (2008)Graph Embeddings of Dynamic Functional Connectivity Reveal Discriminative Patterns of Task Engagement in HCP Data., , , , , и . PRNI, стр. 1-4. IEEE Computer Society, (2015)The Automatic Neuroscientist: A framework for optimizing experimental design with closed-loop real-time fMRI., , , , , , и . NeuroImage, (2016)Towards tailoring non-invasive brain stimulation using real-time fMRI and Bayesian optimization., , , , , , , , , и . PRNI, стр. 1-4. IEEE, (2016)Simulating Dynamic Covariance Structures for Testing the Adaptive Behavior of Variable Selection Algorithms., и . UKSim, стр. 52-57. IEEE Computer Society, (2008)Notes on the H-measure of classifier performance., и . CoRR, (2021)A better Beta for the H measure of classification performance, и . CoRR, (2012)Information-Theoretic Data Discarding for Dynamic Trees on Data Streams., и . Entropy, 15 (12): 5510-5535 (2013)Online optimization for variable selection in data streams., , , и . ECAI, том 178 из Frontiers in Artificial Intelligence and Applications, стр. 132-136. IOS Press, (2008)