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[1] Tijmen Tieleman,et al. Training restricted Boltzmann machines using approximations to the likelihood gradient , 2008, ICML '08.
[2] Eugene Berezikov,et al. Crossmodal Interactions Between Olfactory and Visual Learning in Drosophila , 2005 .
[3] D. Song,et al. EEG Based Emotion Identification Using Unsupervised Deep Feature Learning , 2015 .
[4] Olga Sourina,et al. Real-Time EEG-Based Human Emotion Recognition and Visualization , 2010, 2010 International Conference on Cyberworlds.
[5] Juhan Nam,et al. Multimodal Deep Learning , 2011, ICML.
[6] Rohit Prasad,et al. Robust EEG emotion classification using segment level decision fusion , 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.
[7] Yifei Lu,et al. Combining Eye Movements and EEG to Enhance Emotion Recognition , 2015, IJCAI.
[8] C. Vinola,et al. A Survey on Human Emotion Recognition Approaches, Databases and Applications , 2015 .
[9] Bao-Liang Lu,et al. Differential entropy feature for EEG-based emotion classification , 2013, 2013 6th International IEEE/EMBS Conference on Neural Engineering (NER).
[10] Felipe Bravo-Marquez,et al. Positive, Negative, or Neutral: Learning an Expanded Opinion Lexicon from Emoticon-Annotated Tweets , 2015, IJCAI.
[11] Aike Guo,et al. Crossmodal Interactions Between Olfactory and Visual Learning in Drosophila , 2005, Science.
[12] Bao-Liang Lu,et al. Investigating Critical Frequency Bands and Channels for EEG-Based Emotion Recognition with Deep Neural Networks , 2015, IEEE Transactions on Autonomous Mental Development.
[13] Nitish Srivastava,et al. Multimodal learning with deep Boltzmann machines , 2012, J. Mach. Learn. Res..
[14] M. Bradley,et al. Memory, emotion, and pupil diameter: Repetition of natural scenes. , 2015, Psychophysiology.
[15] Yuan Jiang,et al. Auxiliary Information Regularized Machine for Multiple Modality Feature Learning , 2015, IJCAI.
[16] Thierry Pun,et al. DEAP: A Database for Emotion Analysis ;Using Physiological Signals , 2012, IEEE Transactions on Affective Computing.
[17] Wei Li,et al. Multi-Modality Tracker Aggregation: From Generative to Discriminative , 2015, IJCAI.
[18] Jonathan S. A. Carriere,et al. Distinguishing the roles of trait and state anxiety on the nature of anxiety-related attentional biases to threat using a free viewing eye movement paradigm , 2015, Cognition & emotion.
[19] Yichen Wang,et al. Detecting Emotions in Social Media: A Constrained Optimization Approach , 2015, IJCAI.
[20] Yaacob Sazali,et al. Classification of human emotion from EEG using discrete wavelet transform , 2010 .
[21] Geoffrey E. Hinton. Training Products of Experts by Minimizing Contrastive Divergence , 2002, Neural Computation.
[22] Gyanendra K. Verma,et al. Multimodal fusion framework: A multiresolution approach for emotion classification and recognition from physiological signals , 2014, NeuroImage.