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Explainable machine learning analysis of longitudinal mental health trajectories after breast cancer diagnosis., , , , , , , , , and 2 other author(s). BHI, page 1-4. IEEE, (2022)Altered temporal correlations in resting-state connectivity fluctuations in children with reading difficulties detected via MEG., , , , , , and . NeuroImage, (2013)Video-based depression detection using local Curvelet binary patterns in pairwise orthogonal planes., , , , , , and . EMBC, page 3835-3838. IEEE, (2016)Head Movements in Context of Speech during Stress Induction., , , and . FG, page 710-714. IEEE Computer Society, (2018)Preliminary Evaluation of a Web-Oriented Assessment Tool for Emotion Recognition., , , , , , , and . pHealth, volume 224 of Studies in Health Technology and Informatics, page 95-100. IOS Press, (2016)Differential brain activation patterns during perception of voice and tone onset time series: a MEG study., , , , , and . NeuroImage, 18 (2): 448-459 (2003)Multi-subject Task-related fMRI Data Analysis via Generalized Canonical Correlation Analysis *., , , , and . EMBC, page 1497-1502. IEEE, (2020)Depression Assessment by Fusing High and Low Level Features from Audio, Video, and Text., , , , , , , , , and 2 other author(s). AVEC@ACM Multimedia, page 27-34. ACM, (2016)Changes in resting-state functional connectivity in neuropsychiatric lupus: A dynamic approach based on recurrence quantification analysis., , , , , , , , and . Biomed. Signal Process. Control., 72 (Part): 103285 (2022)A machine learning-based pipeline for modeling medical, socio-demographic, lifestyle and self-reported psychological traits as predictors of mental health outcomes after breast cancer diagnosis: An initial effort to define resilience effects., , , , , , , , , and 5 other author(s). Comput. Biol. Medicine, (2021)