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Few-Shot Class-Incremental Learning for EEG-Based Emotion Recognition.

, , and . ICONIP (5), volume 1792 of Communications in Computer and Information Science, page 445-455. Springer, (2022)

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Multimodal emotion recognition using EEG and eye tracking data., , and . EMBC, page 5040-5043. IEEE, (2014)Generating Multimodal Features for Emotion Classification from Eye Movement Signals., , , , and . Aust. J. Intell. Inf. Process. Syst., 15 (3): 59-66 (2019)Data Augmentation for Enhancing EEG-based Emotion Recognition with Deep Generative Models., , , and . CoRR, (2020)EmotionMeter: A Multimodal Framework for Recognizing Human Emotions., , , , and . IEEE Trans. Cybern., 49 (3): 1110-1122 (2019)Decomposition and Parallel Learning of Imbalanced Classification Problems by Min-Max Modular Neural Network., and . ICONIP, page 199-202. IOA Press, (1998)Decomposing and Parallel Learning of Large-Scale Pattern Recognition Problems using Min-Max Modular Neural Network., and . NC, page 703-709. ICSC Academic Press, International Computer Science Conventions, Canada / Switzerland, (1998)Unconstrained Quasi-Submodular Function Optimization., , and . CoRR, (2014)Personalizing EEG-Based Affective Models with Transfer Learning., and . IJCAI, page 2732-2739. IJCAI/AAAI Press, (2016)An unsupervised discriminative extreme learning machine and its applications to data clustering., , and . Neurocomputing, (2016)Seeing through the Brain: Image Reconstruction of Visual Perception from Human Brain Signals., , , , , , and . CoRR, (2023)