Zobrazeno 1 - 10
of 253
pro vyhledávání: '"Tom, Gedeon"'
Autor:
Aimee-Rose Wrightson-Hester, Georgia Anderson, Joel Dunstan, Peter M McEvoy, Christopher J Sutton, Bronwyn Myers, Sarah Egan, Sara Tai, Melanie Johnston-Hollitt, Wai Chen, Tom Gedeon, Warren Mansell
Publikováno v:
JMIR Human Factors, Vol 11, p e69628 (2024)
Externí odkaz:
https://doaj.org/article/5d4e3c7f36c842b696f5e891e604081d
Autor:
Aimee-Rose Wrightson-Hester, Georgia Anderson, Joel Dunstan, Peter M McEvoy, Christopher J Sutton, Bronwyn Myers, Sarah Egan, Sara Tai, Melanie Johnston-Hollitt, Wai Chen, Tom Gedeon, Warren Mansell
Publikováno v:
JMIR Human Factors, Vol 10, p e46849 (2023)
BackgroundThe prevalence of child and adolescent mental health issues is increasing faster than the number of services available, leading to a shortfall. Mental health chatbots are a highly scalable method to address this gap. Manage Your Life Online
Externí odkaz:
https://doaj.org/article/4b93173a2db447f0aa3ec87f6b8cbba3
Publikováno v:
Sensors, Vol 22, Iss 24, p 9844 (2022)
The prevalent convolutional neural network (CNN)-based image denoising methods extract features of images to restore the clean ground truth, achieving high denoising accuracy. However, these methods may ignore the underlying distribution of clean ima
Externí odkaz:
https://doaj.org/article/4b920101a5d04aa892375bcd0b0cd20b
Publikováno v:
Multimodal Technologies and Interaction, Vol 6, Iss 5, p 35 (2022)
Music elicits strong emotional reactions in people, regardless of their gender, age or cultural background. Understanding the effects of music on brain activity can enhance existing music therapy techniques and lead to improvements in various medical
Externí odkaz:
https://doaj.org/article/2341dd7c00c447068b57e13c742f3ca7
Publikováno v:
IEEE Transactions on Affective Computing. 14:133-152
Given the prevalence of depression worldwide and its major impact on society, several studies employed artificial intelligence modelling to automatically detect and assess depression. However, interpretation of these models and cues are rarely discus
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::21a7c9c3371c6746d313d1340ef7fcb5
https://doi.org/10.1109/taffc.2020.3035535
https://doi.org/10.1109/taffc.2020.3035535
Publikováno v:
Computers, Materials & Continua. 75:5659-5674
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9831e643c0c140b7cce1a11577ee4853
https://doi.org/10.32604/cmc.2023.034005
https://doi.org/10.32604/cmc.2023.034005
Autor:
Sabrina Caldwell, Penny Sweetser, Nicholas O’Donnell, Matthew J. Knight, Matthew Aitchison, Tom Gedeon, Daniel Johnson, Margot Brereton, Marcus Gallagher, David Conroy
Publikováno v:
ACM Transactions on Interactive Intelligent Systems. 12:1-36
We propose a new research framework by which the nascent discipline of human-AI teaming can be explored within experimental environments in preparation for transferal to real-world contexts. We examine the existing literature and unanswered research
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1195ad70eeedef84ca4c6eec8e1f8845
https://doi.org/10.1145/3514257
https://doi.org/10.1145/3514257
Autor:
Aimee-Rose Wrightson-Hester, Georgia Anderson, Joel Dunstan, Peter McEvoy, Chris Sutton, Bronwyn Myers, Sarah Egan, Sara Tai, Melanie Johnston-Hollitt, Wai Chen, Tom Gedeon, Warren mansell
Background: The prevalence of child and adolescent mental health issues are rising faster than the number of services available, leading to a shortfall. Mental health chatbots are a highly scalable way to address this gap. Manage Your Life Online (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f9cf396d3bc74dca027e4872c4d7ce73
https://doi.org/10.31234/osf.io/zjw8p
https://doi.org/10.31234/osf.io/zjw8p
Publikováno v:
Multimodal Technologies and Interaction, Vol 4, Iss 2, p 25 (2020)
Facial thermal imaging is a non-contact technology which can be useful for ubiquitous deceptive anxiety recognition. To date, studies investigating this technology have produced equivocal results in classification accuracy and finding the most correl
Externí odkaz:
https://doaj.org/article/ee4bc4aa28ce4a63af8e882128144e00
Publikováno v:
Artificial Life. 28:240-263
Discrete gene regulatory networks (GRNs) play a vital role in the study of robustness and modularity. A common method of evaluating the robustness of GRNs is to measure their ability to regulate a set of perturbed gene activation patterns back to the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ecf0f10df1f4dddec6ffb7ea038363a0
https://doi.org/10.1162/artl_a_00353
https://doi.org/10.1162/artl_a_00353