机译:Comparing Recognition Performance and Robustness of Multimodal Deep Learning Models for Multimodal Emotion Recognition
Department of Computer Science and Engineering, the Key Laboratory of Shanghai Education Commission for Intelligent Interaction and Cognitive Engineering, Brain Science and Technology Research Center, Center for Brain-Like Computing and Machine Intelligen;
Computer Science Department, Carnegie Mellon University, Pittsburgh, PA, USA;
Department of Brain and Cognitive Science, Massachusetts Institute of Technology, Cambridge, MA, USA;
Emotion recognition; Electroencephalography; Robustness; Deep learning; Correlation; Brain modeling; Computational modeling;