Zobrazeno 1 - 10
of 73
pro vyhledávání: '"Gabriel Murray"'
Autor:
Thomas Soroski, Thiago da Cunha Vasco, Sally Newton-Mason, Saffrin Granby, Caitlin Lewis, Anuj Harisinghani, Matteo Rizzo, Cristina Conati, Gabriel Murray, Giuseppe Carenini, Thalia S Field, Hyeju Jang
Publikováno v:
JMIR Aging, Vol 5, Iss 3, p e33460 (2022)
BackgroundSpeech data for medical research can be collected noninvasively and in large volumes. Speech analysis has shown promise in diagnosing neurodegenerative disease. To effectively leverage speech data, transcription is important, as there is va
Externí odkaz:
https://doaj.org/article/d8dcd6819cb84036ba99adf78894fa49
Autor:
Gabriel Murray
Publikováno v:
Multimodal Technologies and Interaction, Vol 3, Iss 3, p 54 (2019)
Given a meeting participant’s turn-taking dynamics during one segment of a meeting, and their contribution to the group discussion up to that point, our aim is to automatically predict their activity level at a later point of the meeting. The predi
Externí odkaz:
https://doaj.org/article/9096b0ba288b42a49c1b12ba451ac5f1
Autor:
Gabriel Murray
Publikováno v:
Multimodal Technologies and Interaction, Vol 3, Iss 3, p 46 (2019)
Based on analyzing verbal and nonverbal features of small group conversations in a task-based scenario, this work focuses on automatic detection of group member perceptions about how well they are making use of available information, and whether they
Externí odkaz:
https://doaj.org/article/be36ce09b9344c5cb2673247460a455b
Autor:
Anuj Harisinghani, Harshinee Sriram, Cristina Conati, Giuseppe Carenini, Thalia Field, Hyeju Jang, Gabriel Murray
Publikováno v:
Proceedings of the ACM on Human-Computer Interaction. 7:1-17
There has been increasing interest in non-invasive predictors of Alzheimer's disease (AD) as an initial screen for this condition. Previously, successful attempts leveraged eye-tracking and language data generated during picture narration and reading
Publikováno v:
Holography-Recent Advances and Applications
Holography-Recent Advances and Applications ISBN: 9781803565637
Holography-Recent Advances and Applications ISBN: 9781803565637
A full derivation of the recently introduced technique of Harmonic Optical Tomography (HOT), which is based on a sequence of nonlinear harmonic holographic field measurements, is presented. The rigorous theory of harmonic holography is developed and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1e1c6c834be23e12bb4869b0683d105a
https://mts.intechopen.com/articles/show/title/three-dimensional-widefield-imaging-with-coherent-nonlinear-scattering-optical-tomography
https://mts.intechopen.com/articles/show/title/three-dimensional-widefield-imaging-with-coherent-nonlinear-scattering-optical-tomography
Publikováno v:
Proceedings of the International AAAI Conference on Web and Social Media. 5:530-533
We propose a graph-theoretic supervised topic segmentation model for email conversations which combines (i) lexical knowledge, (ii) conversational features, and (iii) topic features. We compare our results with the existing unsupervised models (i.e.,
Autor:
Duncan Clelland, Gabriel Murray
Publikováno v:
Proceedings of the Canadian Conference on Artificial Intelligence.
Autor:
David Johnson, Gabriel Murray
Publikováno v:
Companion Publication of the 2021 International Conference on Multimodal Interaction.
Autor:
Thomas Soroski, Thiago da Cunha Vasco, Sally Newton-Mason, Saffrin Granby, Caitlin Lewis, Anuj Harisinghani, Matteo Rizzo, Cristina Conati, Gabriel Murray, Giuseppe Carenini, Thalia S Field, Hyeju Jang
Publikováno v:
JMIR aging. 5(3)
Background Speech data for medical research can be collected noninvasively and in large volumes. Speech analysis has shown promise in diagnosing neurodegenerative disease. To effectively leverage speech data, transcription is important, as there is v
Autor:
Thomas Soroski, Thiago da Cunha Vasco, Sally Newton-Mason, Saffrin Granby, Caitlin Lewis, Anuj Harisinghani, Matteo Rizzo, Cristina Conati, Gabriel Murray, Giuseppe Carenini, Thalia Shoshana Field, Hyeju Jang
BACKGROUND Speech data for medical research can be collected non-invasively and in large volumes. Speech analysis has shown promise in diagnosing neurodegenerative disease. To effectively leverage speech data, transcription is important as there is v
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::43d348138f00121a76d2e661802956c0
https://doi.org/10.2196/preprints.33460
https://doi.org/10.2196/preprints.33460