Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: Music Emotion Recognition via End-to-End Multimodal Neural Networks
Music Emotion Recognition by Multi-label Multi-layer Multi-instance Multi-view Learning
EmoNets: Multimodal deep learning approaches for emotion recognition in video
Multimodal Multi-task Learning for Dimensional and Continuous Emotion Recognition
Detecting and Classifying Emotion in Popular Music
Emotion Recognition in Speech Using Neural Networks
Transfer learning emotion manifestation across music and speech
Exploiting Synchronized Lyrics And Vocal Features For Music Emotion Detection
Parallel Convolutional Neural Networks for Music Genre and Mood Classification
Emotion recognition based on physiological changes in music listening
Multimodal approaches for emotion recognition: a survey
End-to-end speech emotion recognition using multi-scale convolution networks
Music Emotion Classification: A Regression Approach
Speech emotion recognition based on Gaussian Mixture Models and Deep Neural Networks
Combining modality specific deep neural networks for emotion recognition in video
Multimodal Speech Emotion Recognition Using Audio and Text
Investigation of Multimodal Features, Classifiers and Fusion Methods for Emotion Recognition
Enhanced semi-supervised learning for multimodal emotion recognition
Crossmodal transfer of emotion by music
Polyphonic sound event detection using multi label deep neural networks
Modeling of the Latent Embedding of Music using Deep Neural Network
on Innovations in Fashion Industry Key Success Factors for Organizational Innovation in the Fashion Industry Regular Paper
integration of text and audio features for genre classification in music information retrieval .
Online pairwise learning algorithms with convex loss functions
On the hazard function of Birnbaum-Saunders distribution and associated inference
Sick but yet at work. An empirical study of sickness presenteeism