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Anticipating for Smart Healthcare System by Deep Ensemble Model Using Multi-Layer Perceptron in Early Human Facial Emotion Recognition

https://doi.org/10.2139/ssrn.4789296
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inferredcites →https://doi.org/10.1007/978-3-319-66790-4_1openalex-extracted
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inferredcites →https://doi.org/10.1007/978-981-16-4369-9_59openalex-extracted
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Specific facial emotion recognition deficits across the course of psychosis: A comparison of individuals with low-risk, high-risk, first-episode psychosis and multi-episode schizophrenia-spectrum disorders
inferredcites →https://doi.org/10.1016/j.scitotenv.2019.135484openalex-extracted
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inferredcites →https://doi.org/10.1109/access.2019.2917266openalex-extracted
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Identity-Aware Convolutional Neural Network for Facial Expression Recognition
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inferredcites →https://doi.org/10.1109/iceca.2017.8203631openalex-extracted
Emotion recognition from speech using MFCC and DWT for security system
inferredcites →https://doi.org/10.1109/jstsp.2017.2764438openalex-extracted
End-to-End Multimodal Emotion Recognition Using Deep Neural Networks
inferredcites →https://doi.org/10.1109/lgrs.2017.2787421openalex-extracted
A Massively Parallel Deep Rule-Based Ensemble Classifier for Remote Sensing Scenes
inferredcites →https://doi.org/10.1109/tip.2019.2956143openalex-extracted
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OCFER-Net: Recognizing Facial Expression in Online Learning System
inferredcites →https://doi.org/10.1155/2014/706159openalex-extracted
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Unsupervised Domain Adaptation for Facial Expression Recognition Using Generative Adversarial Networks
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Human-Computer Interaction for Recognizing Speech Emotions Using Multilayer Perceptron Classifier
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Deep facial expression recognition: a survey
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A complementary account to emotion extraction and classification in cultural heritage based on the Plutchik's theory
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