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Deep neural network and switching Kalman filter based continuous affect recognition.

, , , , and . ICME Workshops, page 1-6. IEEE Computer Society, (2016)

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Audio Visual Recognition of Spontaneous Emotions In-the-Wild., , , , , and . CCPR (2), volume 663 of Communications in Computer and Information Science, page 692-706. (2016)LMVD: A Large-Scale Multimodal Vlog Dataset for Depression Detection in the Wild., , , , , , , , , and 2 other author(s). CoRR, (2024)Multimodal continuous affect recognition based on LSTM and multiple kernel learning., , , , , and . APSIPA, page 1-4. IEEE, (2014)Multimodal dimensional affect recognition using deep bidirectional long short-term memory recurrent neural networks., , , and . ACII, page 208-214. IEEE Computer Society, (2015)Monocular 3D Facial Expression Features for Continuous Affect Recognition., , , , and . IEEE Trans. Multim., (2021)Multimodal Affective Dimension Prediction Using Deep Bidirectional Long Short-Term Memory Recurrent Neural Networks., , , , , and . AVEC@ACM Multimedia, page 73-80. ACM, (2015)Relate Auditory Speech To Eeg By Shallow-Deep Attention-Based Network., , , , , , and . ICASSP, page 1-2. IEEE, (2023)Multimodal Measurement of Depression Using Deep Learning Models., , , , , and . AVEC@ACM Multimedia, page 53-59. ACM, (2017)A Bayesian Filtering Framework for Continuous Affect Recognition From Facial Images., , , , and . IEEE Trans. Multim., (2023)Hybrid Depression Classification and Estimation from Audio Video and Text Information., , , , , and . AVEC@ACM Multimedia, page 45-51. ACM, (2017)