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Multimodal Feature Selection for Detecting Mothers' Depression in Dyadic Interactions with their Adolescent Offspring.

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Title: Multimodal Feature Selection for Detecting Mothers' Depression in Dyadic Interactions with their Adolescent Offspring.
Authors: Bilalpur M; Intelligent Systems Program, University of Pittsburgh, Pittsburgh, USA., Hinduja S; Department of Psychology, University of Pittsburgh, Pittsburgh, USA., Cariola LA; Clinical and Health Psychology, University of Edinburgh, Edinburgh, UK., Sheeber LB; Oregon Research Institute, Oregon, USA., Allen N; Department of Psychology, University of Oregon, USA., Jeni LA; Robotics Institute, Carnegie Mellon University, USA., Morency LP; Language Technology Institute, Carnegie Mellon University, USA., Cohn JF; Intelligent Systems Program, University of Pittsburgh, Pittsburgh, USA.; Department of Psychology, University of Pittsburgh, Pittsburgh, USA.; Robotics Institute, Carnegie Mellon University, USA.
Source: IEEE transactions on affective computing [IEEE Trans Affect Comput] 2023 Jan; Vol. 2023. Date of Electronic Publication: 2023 Feb 16.
Publication Type: Journal Article
Journal Info: Publisher: Institute of Electrical and Electronics Engineers Computer Sociery Country of Publication: United States NLM ID: 101635097 Publication Model: Print-Electronic Cited Medium: Print ISSN: 1949-3045 (Print) Linking ISSN: 19493045 NLM ISO Abbreviation: IEEE Trans Affect Comput Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: Multimodal Feature Selection for Detecting Mothers' Depression in Dyadic Interactions with their Adolescent Offspring.
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  Data: <searchLink fieldCode="JN" term="%22101635097%22">IEEE transactions on affective computing</searchLink> [IEEE Trans Affect Comput] 2023 Jan; Vol. 2023. <i>Date of Electronic Publication: </i>2023 Feb 16.
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        Value: 10.1109/fg57933.2023.10042796
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        Text: English
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              Text: 2023 Jan
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