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What Makes a Good Movie Trailer?: Interpretation from Simultaneous EEG and Eyetracker Recording.

, , , , , , and . ACM Multimedia, page 82-86. ACM, (2016)

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Recognizing Brain States Using Deep Sparse Recurrent Neural Network., , , , , , , and . IEEE Trans. Medical Imaging, 38 (4): 1058-1068 (2019)Modeling Task fMRI Data Via Deep Convolutional Autoencoder., , , , , , , and . IEEE Trans. Medical Imaging, 37 (7): 1551-1561 (2018)A Novel fMRI Representation Learning Framework with GAN., , , , , , and . MLMI@MICCAI, volume 12436 of Lecture Notes in Computer Science, page 21-29. Springer, (2020)Multple-demand system identification and characterization via sparse representations of fMRI data., , , , and . ISBI, page 70-73. IEEE, (2016)Neural Architecture Search for Optimizing Deep Belief Network Models of fMRI Data., , , , and . MMMI@MICCAI, volume 11977 of Lecture Notes in Computer Science, page 26-34. Springer, (2019)Spatiotemporal Attention Autoencoder (STAAE) for ADHD Classification., , , , , and . MICCAI (7), volume 12267 of Lecture Notes in Computer Science, page 508-517. Springer, (2020)What Makes a Good Movie Trailer?: Interpretation from Simultaneous EEG and Eyetracker Recording., , , , , , and . ACM Multimedia, page 82-86. ACM, (2016)Modeling Task fMRI Data via Deep Convolutional Autoencoder., , , , , , , and . IPMI, volume 10265 of Lecture Notes in Computer Science, page 411-424. Springer, (2017)Constructing fine-granularity functional brain network atlases via deep convolutional autoencoder., , , , , , , and . Medical Image Anal., (2017)Hierarchical Organization of Functional Brain Networks Revealed by Hybrid Spatiotemporal Deep Learning., , , , , , , , , and 1 other author(s). Brain Connect., 10 (2): 72-82 (2020)