Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Vaden Masrani"'
Autor:
Frank Wood, Andrew Warrington, Saeid Naderiparizi, Christian Weilbach, Vaden Masrani, William Harvey, Adam Ścibior, Boyan Beronov, John Grefenstette, Duncan Campbell, S. Ali Nasseri
Publikováno v:
Frontiers in Artificial Intelligence, Vol 4 (2022)
In this work we demonstrate how to automate parts of the infectious disease-control policy-making process via performing inference in existing epidemiological models. The kind of inference tasks undertaken include computing the posterior distribution
Externí odkaz:
https://doaj.org/article/3cc9b6795bf5415da283bc4bd75e3b7f
Autor:
Frank Wood, Andrew Warrington, Saeid Naderiparizi, Christian Weilbach, Vaden Masrani, William Harvey, Adam Ścibior, Boyan Beronov, John Grefenstette, Duncan Campbell, S. Ali Nasseri
Publikováno v:
Frontiers in artificial intelligence. 4
In this work we demonstrate how to automate parts of the infectious disease-control policy-making process via performing inference in existing epidemiological models. The kind of inference tasks undertaken include computing the posterior distribution
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4f2c883fe4ee15cbca37c871874ffbc2
https://pubmed.ncbi.nlm.nih.gov/35434605
https://pubmed.ncbi.nlm.nih.gov/35434605
Publikováno v:
IEEE Transactions on Software Engineering. 44:1132-1145
All kinds of software projects, whether open or closed source, rely on open source components. Repositories that serve open source components to organizations, such as the Central Repository and npmjs.org , report billions of requests per year. Despi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a110a6ed07c44f438d5c5c3029e781d8
https://doi.org/10.1109/tse.2017.2756043
https://doi.org/10.1109/tse.2017.2756043
Publikováno v:
CVPR
Few-shot learning is a fundamental task in computer vision that carries the promise of alleviating the need for exhaustively labeled data. Most few-shot learning approaches to date have focused on progressively more complex neural feature extractors
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::86bfeab13fcfcf743f9cc5cb77eb35be
Publikováno v:
Alzheimer's & Dementia. 13
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2a1143d82a9f027e43786481e7c54f5d
https://doi.org/10.1016/j.jalz.2017.06.2598
https://doi.org/10.1016/j.jalz.2017.06.2598
Publikováno v:
BioNLP
We investigate if writers with dementia can be automatically distinguished from those without by analyzing linguistic markers in written text, in the form of blog posts. We have built a corpus of several thousand blog posts, some by people with demen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8f4610aefd98d1d524e435ea9902dfb2
https://doi.org/10.18653/v1/w17-2329
https://doi.org/10.18653/v1/w17-2329
Publikováno v:
Advances in Artificial Intelligence ISBN: 9783319573502
Canadian Conference on AI
Canadian Conference on AI
Lexical and acoustic markers in spoken language can be used to detect mild cognitive impairment (MCI), a condition which is often a precursor to dementia and frequently causes some degree of dysphasia. Research to develop such a diagnostic tool for c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a690bfa7665eb1595a267a329585c762
https://doi.org/10.1007/978-3-319-57351-9_29
https://doi.org/10.1007/978-3-319-57351-9_29
Publikováno v:
SIGDIAL Conference
We define and motivate the problem of summarizing partial email threads. This problem introduces the challenge of generating reference summaries for partial threads when human annotation is only available for the threads as a whole, particularly when
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a88a9b3ef6907d1a1f511fbd971b7cbb
https://doi.org/10.18653/v1/w17-5532
https://doi.org/10.18653/v1/w17-5532