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Utilizing Deep Learning Towards Multi-modal Bio-sensing and Vision-based Affective Computing 2019-4602.pdf

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Utilizing Deep Learning Towards Multi-modal Bio-sensing and Vision-based Affective Computing 2019-4602.pdf
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Using unsupervised learning with independent component analysis to identify patterns of glaucomatous visual field defects 2005-4105.pdf
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Validation of Independent Component Analysis for rapid spike sorting of optical recording data 2010-4205.pdf
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Variability of Postsynaptic Responses Depends Non-Linearly on the Number of Synaptic Inputs 2003-3522.pdf
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Using Unsupervised Learning with Variational Bayesian Mixture of Factor Analysis to Identify Patterns of Glaucomatous Visual Field Defects 2004-3763.pdf
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Variability of Postsynaptic Responses to Spike-Mediated and Graded Synaptic Input 2002-3523.pdf
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Using Temporal-Difference Reinforcement Learning to Improve Decision-Theoretic Utilities for Diagnosis 1995-3520.pdf
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Variability of Quantal Synaptic Currents in Thalamocortical Neurons 2003-3524.pdf
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Using Machine Learning Classifiers to Identify Glaucomatous Change Earlier in Standard Visual Fields 2002-3787.pdf
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Variational Bayesian Learning of ICA with Missing Data 2003-3525.pdf
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Using Feedforward Neural Networks to Monitor Alertness from Changes in EEG Correlation and Coherence 1996-3518.pdf
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Variational Learning of Clusters of Undercomplete Nonsymmetric Independent Components 2002-3526.pdf
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Using Aperiodic Reinforcement for Directed Self-Organization During Development 1993-3517.pdf
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Untangling Spatial from Temporal Illusions 2002-3516.pdf
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Varieties of Attention_ A Model of Visual Search 1996-3527.pdf
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Unsupervised and Reinforcement Learning by Pyramidal Neurons in a Layered Model of Neocortex 1998-3515.pdf
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Various Aspects of Artificial and Biological Neural Networks 1994-3841.pdf
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Unsupervised Machine Learning with Independent Component Analysis to Identify Areas of Progression in Glaucomatous Visual Fields 2005-3857.pdf
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Vernon Mountcastle_ Father of Neuroscience 2015-4429.pdf
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Unsupervised Machine Learning with Independent Component Analysis Identifies Areas of Progression in Glaucomatous Visual Fields 2004-3620.pdf
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