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A Cross-modality Deep Learning Method for Measuring Decision Confidence from Eye Movement Signals.

, , , , and . EMBC, page 3342-3345. IEEE, (2022)

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Generating Multimodal Features for Emotion Classification from Eye Movement Signals., , , , and . Aust. J. Intell. Inf. Process. Syst., 15 (3): 59-66 (2019)Multimodal Emotion Recognition from Eye Image, Eye Movement and EEG Using Deep Neural Networks., , , and . EMBC, page 3071-3074. IEEE, (2019)A Novel Experiment Setting for Cross-subject Emotion Recognition., , , , and . EMBC, page 6416-6419. IEEE, (2021)A direct method to Frobenius norm-based matrix regression., , , and . Int. J. Comput. Math., 97 (9): 1767-1780 (2020)Classification of Five Emotions from EEG and Eye Movement Signals: Complementary Representation Properties., , , and . NER, page 611-614. IEEE, (2019)Simplifying Multimodal Emotion Recognition with Single Eye Movement Modality., , and . ACM Multimedia, page 1057-1063. ACM, (2021)EEG-Eye Movements Cross-Modal Decision Confidence Measurement with Generative Adversarial Networks., , , , and . NER, page 1-4. IEEE, (2023)Multi-Objective Gannet Optimization Algorithm for Dynamic Passenger Flow Allocation in Train Operation Plan Optimization., , , , , and . IEEE Access, (2023)A Cross-modality Deep Learning Method for Measuring Decision Confidence from Eye Movement Signals., , , , and . EMBC, page 3342-3345. IEEE, (2022)Discriminating Surprise and Anger from EEG and Eye Movements with a Graph Network., , , and . BIBM, page 1353-1357. IEEE, (2021)