Zobrazeno 1 - 10
of 94
pro vyhledávání: '"Peter W. Foltz"'
Autor:
Terje B. Holmlund, Alex S. Cohen, Jian Cheng, Peter W. Foltz, Jared Bernstein, Elizabeth Rosenfeld, Bruno Laeng, Brita Elvevåg
Publikováno v:
Brain Sciences, Vol 13, Iss 3, p 442 (2023)
The Stroop interference task is indispensable to current neuropsychological practice. Despite this, it is limited in its potential for repeated administration, its sensitivity and its demands on professionals and their clients. We evaluated a digital
Externí odkaz:
https://doaj.org/article/7ed5695a7daa4655a344fbf70849efde
Autor:
Terje B. Holmlund, Chelsea Chandler, Peter W. Foltz, Alex S. Cohen, Jian Cheng, Jared C. Bernstein, Elizabeth P. Rosenfeld, Brita Elvevåg
Publikováno v:
npj Digital Medicine, Vol 3, Iss 1, Pp 1-8 (2020)
Abstract Verbal memory deficits are some of the most profound neurocognitive deficits associated with schizophrenia and serious mental illness in general. As yet, their measurement in clinical settings is limited to traditional tests that allow for l
Externí odkaz:
https://doaj.org/article/d49ca3cce03e4ac5ad4a2115dd822571
Autor:
Alex S. Cohen, Christopher R. Cox, Raymond P. Tucker, Kyle R. Mitchell, Elana K. Schwartz, Thanh P. Le, Peter W. Foltz, Terje B. Holmlund, Brita Elvevåg
Publikováno v:
Frontiers in Psychiatry, Vol 12 (2021)
The last decade has witnessed the development of sophisticated biobehavioral and genetic, ambulatory, and other measures that promise unprecedented insight into psychiatric disorders. As yet, clinical sciences have struggled with implementing these o
Externí odkaz:
https://doaj.org/article/5c963f38c097488d87019feb05bb2fbe
Autor:
Marama Diaz-Asper, Terje B. Holmlund, Chelsea Chandler, Catherine Diaz-Asper, Peter W. Foltz, Alex S. Cohen, Brita Elvevåg
Speech rate and quantity reflect clinical state; thus automated transcription holds potential clinical applications. We describe two datasets where recording quality and speaker characteristics affected transcription accuracy. Transcripts of low-qual
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::51a8eddc133c21ca8988e662c3918d55
https://hdl.handle.net/10037/27690
https://hdl.handle.net/10037/27690
Autor:
Mark W. Davis, Peter W. Foltz
Publikováno v:
Proceedings of the Twentieth Annual Conference of the Cognitive Science Society ISBN: 9781315782416
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b51966bda6cfd13a5c85c641a7cbd47
https://doi.org/10.4324/9781315782416-59
https://doi.org/10.4324/9781315782416-59
ObjectivesMachine learning (ML) and natural language processing have great potential to improve efficiency and accuracy in diagnosis, treatment recommendations, predictive interventions, and scarce resource allocation within psychiatry. Researchers o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::87075f523fcbcf240c3c46958cae1c84
https://hdl.handle.net/10037/27546
https://hdl.handle.net/10037/27546
Autor:
Taylor L. Fedechko, Thanh P. Le, Elana K. Schwartz, Jared Bernstein, Elizabeth Rosenfeld, Brita Elvevåg, Peter W. Foltz, Alex S. Cohen, Jian Cheng
Publikováno v:
Community Mental Health Journal. 55:1165-1172
This is a post-peer-review, pre-copyedit version of an article published in Community Mental Health Journal. The final authenticated version is available online at: https://doi.org/10.1007/s10597-019-00411-x. Accurate prediction of risk-states in Ser
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e25303617e11595c1028cf2fa494ca81
https://doi.org/10.1007/s10597-019-00411-x
https://doi.org/10.1007/s10597-019-00411-x
Publikováno v:
The ANNALS of the American Academy of Political and Social Science. 683:217-232
Digital technologies hold the potential to transform educational assessment. Recent advances reveal that digital environments will support the development of learning and assessment activities in ways that will both increase the inferential fidelity
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::601fae872fcafb94a7c25d19b10f80e0
https://doi.org/10.1177/0002716219846850
https://doi.org/10.1177/0002716219846850
Autor:
Elana K. Schwartz, Peter W. Foltz, Terje B. Holmlund, Jared Bernstein, Alex S. Cohen, Thanh P. Le, Brita Elvevåg, Taylor L. Fedechko, Jian Cheng
Publikováno v:
Journal of Abnormal Psychology. 128:97-105
©American Psychological Association, 2019. This paper is not the copy of record and may not exactly replicate the authoritative document published in the APA journal. Please do not copy or cite without author's permission. The final article is avail
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::25cf3660de150148c985dc931e9cd261
https://doi.org/10.1037/abn0000397
https://doi.org/10.1037/abn0000397
Natural Language Processing (NLP) is an ever-growing field of computational science that aims to model natural human language. Combined with advances in machine learning, which learns patterns in data, it offers practical capabilities including autom
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b322b19b884c4b3a21f3026925a13b40
https://openaccess.sgul.ac.uk/id/eprint/112191/1/HTDTWTOWCortex2020_30.04.2020.pdf
https://openaccess.sgul.ac.uk/id/eprint/112191/1/HTDTWTOWCortex2020_30.04.2020.pdf