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A Deep Multiscale Spatiotemporal Network for Assessing Depression From Facial Dynamics., , and . IEEE Trans. Affect. Comput., 13 (3): 1581-1592 (2022)MDN: A Deep Maximization-Differentiation Network for Spatio-Temporal Depression Detection., , and . IEEE Trans. Affect. Comput., 14 (1): 578-590 (January 2023)Discriminative filtering with principal component analysis and adaptive alignment., , , , , and . GCCE, page 521-522. IEEE, (2015)Depression Detection Based on Deep Distribution Learning., , and . ICIP, page 4544-4548. IEEE, (2019)Facial Expression Analysis Using Decomposed Multiscale Spatiotemporal Networks., , and . CoRR, (2022)Face Anti-Spoofing via Sample Learning Based Recurrent Neural Network (RNN)., , , and . BMVC, page 113. BMVA Press, (2019)A Joint Cross-Attention Model for Audio-Visual Fusion in Dimensional Emotion Recognition., , , , , , , , , and . CoRR, (2022)Combining Global and Local Convolutional 3D Networks for Detecting Depression from Facial Expressions., , and . FG, page 1-8. IEEE, (2019)Electromyographic signal compression based on two-dimensional techniques., , and . GCCE, page 515-516. IEEE, (2015)Facial expression analysis using Decomposed Multiscale Spatiotemporal Networks., , and . Expert Syst. Appl., (February 2024)