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Building Emotional Machines: Recognizing Image Emotions Through Deep Neural Networks

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References

1980A circumplex model of affect.16,320 cited
1994Measuring emotion: The self-assessment manikin and the semantic differential9,531 cited
2005International affective picture system (IAPS) : affective ratings of pictures and instruction manual5,307 cited
2010Survey on speech emotion recognition: Features, classification schemes, and databases2,076 cited
1952The nature and measurement of meaning.1,326 cited
1994Effects of color on emotions.1,103 cited
2014Speech emotion recognition using deep neural network and extreme learning machine822 cited
2013The Effects of Color on Emotions730 cited
2014Learning Salient Features for Speech Emotion Recognition Using Convolutional Neural Networks567 cited
2006Emotion Assessment: Arousal Evaluation Using EEG’s and Peripheral Physiological Signals385 cited
2014Exploring Principles-of-Art Features For Image Emotion Recognition376 cited
2016Building a Large Scale Dataset for Image Emotion Recognition: The Fine Print and The Benchmark357 cited
2015A mixed bag of emotions: Model, predict, and transfer emotion distributions258 cited
2006Extracting moods from pictures and sounds: towards truly personalized TV227 cited
2006

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Emotion Recognition Based on Joint Visual and Audio Cues

202 cited

2016Continuous Probability Distribution Prediction of Image Emotions via Multitask Shared Sparse Regression193 cited

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