Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Catalin Voss"'
Autor:
Peter Washington, Qandeel Tariq, Emilie Leblanc, Brianna Chrisman, Kaitlyn Dunlap, Aaron Kline, Haik Kalantarian, Yordan Penev, Kelley Paskov, Catalin Voss, Nathaniel Stockham, Maya Varma, Arman Husic, Jack Kent, Nick Haber, Terry Winograd, Dennis P. Wall
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
Abstract Standard medical diagnosis of mental health conditions requires licensed experts who are increasingly outnumbered by those at risk, limiting reach. We test the hypothesis that a trustworthy crowd of non-experts can efficiently annotate behav
Externí odkaz:
https://doaj.org/article/7c1e977803b04ec7833a0f2e6600ab08
Autor:
Peter Washington, Haik Kalantarian, John Kent, Arman Husic, Aaron Kline, Emilie Leblanc, Cathy Hou, Onur Cezmi Mutlu, Kaitlyn Dunlap, Yordan Penev, Maya Varma, Nate Tyler Stockham, Brianna Chrisman, Kelley Paskov, Min Woo Sun, Jae-Yoon Jung, Catalin Voss, Nick Haber, Dennis Paul Wall
Publikováno v:
JMIR Pediatrics and Parenting, Vol 5, Iss 2, p e26760 (2022)
BackgroundAutomated emotion classification could aid those who struggle to recognize emotions, including children with developmental behavioral conditions such as autism. However, most computer vision emotion recognition models are trained on adult e
Externí odkaz:
https://doaj.org/article/045c0da0704848499e1e613f4967c3d9
Autor:
Peter Washington, Ritik Patnaik, Jessey Schwartz, Brianna Chrisman, Parishkrita Srivastava, Maya Varma, Nick Haber, Aaron Kline, Kelley Paskov, Dennis P. Wall, Catalin Voss, Natalie Park, Nathaniel Stockham, Qandeel Tariq, Haik Kalantarian
Publikováno v:
Biol Psychiatry Cogn Neurosci Neuroimaging
Data science and digital technologies have the potential to transform diagnostic classification. Digital technologies enable the collection of big data, and advances in machine learning and artificial intelligence enable scalable, rapid, and automate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ee4c4c5ca33995260644ec2b1cc38f02
https://doi.org/10.1016/j.bpsc.2019.11.015
https://doi.org/10.1016/j.bpsc.2019.11.015
Publikováno v:
IEEE Spectrum. 57:46-52
Now imagine that Jimmy is wearing a special kind of Google Glass, the augmented-reality headset that Google introduced in 2013. When he looks up at his mom, the head-up display lights up with a green box, which alerts Jimmy that he's "found a face."
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3774884ba83f4930dee2d79f952c3a7b
https://doi.org/10.1109/mspec.2020.9055973
https://doi.org/10.1109/mspec.2020.9055973
Autor:
Peter Washington, Jessey Schwartz, Haik Kalantarian, Ritik Patnaik, Kelley Paskov, Kaitlyn Dunlap, Qandeel Tariq, Nick Haber, Aaron Kline, Maya Varma, Nate Tyler Stockham, Catalin Voss, Dennis P. Wall, Brianna Chrisman
Publikováno v:
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
Scopus-Elsevier
PSB
Scopus-Elsevier
PSB
Autism Spectrum Disorder (ASD) is a complex neuropsychiatric condition with a highly heterogeneous phenotype. Following the work of Duda et al., which uses a reduced feature set from the Social Responsiveness Scale, Second Edition (SRS) to distinguis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::88f8334867c1c5274a5308dbd4284e40
http://europepmc.org/articles/PMC6927820
http://europepmc.org/articles/PMC6927820
Autor:
Cezmi Mutlu, Jae-Yoon Jung, Cathy Hou, Nate Tyler Stockham, Yordan Penev, Emilie Leblanc, Dennis P. Wall, Arman Husic, Kaitlyn Dunlap, Jack Kent, Peter Washington, Kelley Paskov, Brianna Chrisman, Haik Kalantarian, Nick Haber, Catalin Voss, Aaron Kline
Publikováno v:
Cognit Comput
BACKGROUND/INTRODUCTION: Emotion detection classifiers traditionally predict discrete emotions. However, emotion expressions are often subjective, thus requiring a method to handle compound and ambiguous labels. We explore the feasibility of using cr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::726a13ea0ce28a55cc7d2506fc98d9fa
https://europepmc.org/articles/PMC9165031/
https://europepmc.org/articles/PMC9165031/
Autor:
Catalin Voss, Peter Washington, Dennis P. Wall, Terry Winograd, Hessey Schwartz, Carl Feinstein, Qandeel Tariq, Nick Haber, Aaron Kline
Publikováno v:
GetMobile: Mobile Computing and Communications. 23:35-38
Autism Spectrum Disorder (ASD) is quickly becoming a global health crisis estimated to affect one in 40 children in the United States [8]. ASD consists of social deficiencies, such as impaired communication, eye contact, facial expression recognition
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dcb1b5033ea95bca4cab492f8a89d782
https://doi.org/10.1145/3372300.3372308
https://doi.org/10.1145/3372300.3372308
Autor:
Kaitlyn Dunlap, Terry Winograd, Nathaniel Stockham, Dennis P. Wall, Emilie Leblanc, Qandeel Tariq, Brianna Chrisman, Peter Washington, Catalin Voss, Kelley Paskov, Jack Kent, Haik Kalantarian, Arman Husic, Nick Haber, Aaron Kline, Maya Varma, Yordan Penev
Publikováno v:
Scientific Reports
Scientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
Scientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
Standard medical diagnosis of mental health conditions requires licensed experts who are increasingly outnumbered by those at risk, limiting reach. We test the hypothesis that a trustworthy crowd of non-experts can efficiently annotate behavioral fea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fa43ca42f61cb8702e0c2b11a575ae83
https://doi.org/10.1038/s41598-021-87059-4
https://doi.org/10.1038/s41598-021-87059-4
Publikováno v:
Proceedings of the 1st Workshop on NLP for Positive Impact.
Information extraction and question answering have the potential to introduce a new paradigm for how machine learning is applied to criminal law. Existing approaches generally use tabular data for predictive metrics. An alternative approach is needed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6c6bbc483eb69d870c2118c14677f7fe
https://doi.org/10.18653/v1/2021.nlp4posimpact-1.8
https://doi.org/10.18653/v1/2021.nlp4posimpact-1.8
Autor:
Peter Washington, Haik Kalantarian, John Kent, Arman Husic, Aaron Kline, Emilie Leblanc, Cathy Hou, Onur Cezmi Mutlu, Kaitlyn Dunlap, Yordan Penev, Maya Varma, Nate Tyler Stockham, Brianna Chrisman, Kelley Paskov, Min Woo Sun, Jae-Yoon Jung, Catalin Voss, Nick Haber, Dennis Paul Wall
BACKGROUND Automated emotion classification could aid those who struggle to recognize emotions, including children with developmental behavioral conditions such as autism. However, most computer vision emotion recognition models are trained on adult
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9a6ddafe29a342e252aa2e40a97a9048
https://doi.org/10.2196/preprints.26760
https://doi.org/10.2196/preprints.26760