Generative Embedding for Model-Based Classification of fMRI Data
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DOI: 10.1371/journal.pcbi.1002079
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References listed on IDEAS
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- Andreas Koukorinis & Gareth W. Peters & Guido Germano, 2025. "Generative-Discriminative Machine Learning Models for High-Frequency Financial Regime Classification," Methodology and Computing in Applied Probability, Springer, vol. 27(2), pages 1-32, June.
- Timothy N Rubin & Oluwasanmi Koyejo & Krzysztof J Gorgolewski & Michael N Jones & Russell A Poldrack & Tal Yarkoni, 2017. "Decoding brain activity using a large-scale probabilistic functional-anatomical atlas of human cognition," PLOS Computational Biology, Public Library of Science, vol. 13(10), pages 1-24, October.
- Eduardo A Aponte & Dario Schöbi & Klaas E Stephan & Jakob Heinzle, 2017. "The Stochastic Early Reaction, Inhibition, and late Action (SERIA) model for antisaccades," PLOS Computational Biology, Public Library of Science, vol. 13(8), pages 1-36, August.
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