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Feature selection in multimodal continuous emotion prediction.

, , , and . ACII Workshops, page 30-37. IEEE Computer Society, (2017)

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Speech emotion recognition combining acoustic features and linguistic information in a hybrid support vector machine-belief network architecture., , and . ICASSP (1), page 577-580. IEEE, (2004)Asynchronous and Event-Based Fusion Systems for Affect Recognition on Naturalistic Data in Comparison to Conventional Approaches., , , , , and . IEEE Trans. Affect. Comput., 9 (4): 410-423 (2018)EmoBed: Strengthening Monomodal Emotion Recognition via Training with Crossmodal Emotion Embeddings., , , and . IEEE Trans. Affect. Comput., 12 (3): 553-564 (2021)Recent Advances in Computer Audition for Diagnosing COVID-19: An Overview., , and . CoRR, (2020)Synthesising 3D Facial Motion from "In-the-Wild" Speech., , , , , and . CoRR, (2019)Evaluating the COVID-19 Identification ResNet (CIdeR) on the INTERSPEECH COVID-19 from Audio Challenges., , , , , and . CoRR, (2021)Are 3D Face Shapes Expressive Enough for Recognising Continuous Emotions and Action Unit Intensities?, , , , , and . CoRR, (2022)SEWA DB: A Rich Database for Audio-Visual Emotion and Sentiment Research in the Wild., , , , , , , , , and 3 other author(s). IEEE Trans. Pattern Anal. Mach. Intell., 43 (3): 1022-1040 (2021)An Online Robot Collision Detection and Identification Scheme by Supervised Learning and Bayesian Decision Theory., , , and . IEEE Trans Autom. Sci. Eng., 18 (3): 1144-1156 (2021)Quantifying Cognitive Load from Voice using Transformer-Based Models and a Cross-Dataset Evaluation., , , , , , , and . ICMLA, page 337-344. IEEE, (2022)