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. |
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| 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 |
| ISSN: | 1949-3045 |
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| DOI: | 10.1109/fg57933.2023.10042796 |
