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M3GAT: A Multi-modal, Multi-task Interactive Graph Attention Network for Conversational Sentiment Analysis and Emotion Recognition.

, , , , , , , , , and . ACM Trans. Inf. Syst., 42 (1): 13:1-13:32 (January 2024)

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Variational autoencoder based synthetic data generation for imbalanced learning., , and . SSCI, page 1-7. IEEE, (2017)Regularizing Deep Neural Networks with an Ensemble-based Decorrelation Method., , , and . IJCAI, page 2177-2183. ijcai.org, (2018)Variational Autoencoder based Latent Factor Decoding of Multichannel EEG for Emotion Recognition., , , , , , , and . BIBM, page 684-687. IEEE, (2019)WundtGPT: Shaping Large Language Models To Be An Empathetic, Proactive Psychologist., , , and . CoRR, (2024)Chinese nested entity recognition method for the finance domain based on heterogeneous graph network., , , , , and . Inf. Process. Manag., 61 (5): 103812 (2024)Chain of Stance: Stance Detection with Large Language Models., , , , and . CoRR, (2024)A Quantum Probability Driven Framework for Joint Multi-Modal Sarcasm, Sentiment and Emotion Analysis., , and . IEEE Trans. Affect. Comput., 15 (1): 326-341 (January 2024)Multi-Task Learning for Jointly Detecting Depression and Emotion., , , and . BIBM, page 3142-3149. IEEE, (2021)Supercomputer Supported Online Deep Learning Techniques for High Throughput EEG Prediction., , and . BIBM, page 2392-2398. IEEE, (2021)Emotion Recognition from Multi-channel EEG Data through A Dual-pipeline Graph Attention Network., , , and . BIBM, page 3642-3647. IEEE, (2021)