Zobrazeno 1 - 10
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pro vyhledávání: '"Matero A"'
Autor:
Dey, Gourab, Ganesan, Adithya V, Lal, Yash Kumar, Shah, Manal, Sinha, Shreyashee, Matero, Matthew, Giorgi, Salvatore, Kulkarni, Vivek, Schwartz, H. Andrew
Social science NLP tasks, such as emotion or humor detection, are required to capture the semantics along with the implicit pragmatics from text, often with limited amounts of training data. Instruction tuning has been shown to improve the many capab
Externí odkaz:
http://arxiv.org/abs/2402.01980
Autor:
Garrett Bullock, Jared A. Jaffey, Leah A. Cohn, Erika Sox, Eric T. Hostnik, Kyle D. Hutcheson, Erin Matero, Karen S. Hoffmann, Gary S. Johnson, Martin L. Katz
Publikováno v:
Journal of Veterinary Internal Medicine, Vol 38, Iss 5, Pp 2431-2443 (2024)
Abstract Background Human patients with Ehlers‐Danlos syndrome (EDS) are categorized into subtypes based on causative genetic variants and phenotypes. The classical form of EDS, primarily caused by variants in COL5A1 or COL5A2, is a very common sub
Externí odkaz:
https://doaj.org/article/e3f4160d8c9c4938a6ba6147b1ed522a
Autor:
H. H. Christiansen, I. S. O. Matero, L. Baddeley, K. Holmén, C. J. M. Hoppe, M. J. J. E. Loonen, R. Storvold, V. Vitale, A. Zaborska, H. Lihavainen
Publikováno v:
Earth System Dynamics, Vol 15, Pp 933-946 (2024)
Based on the ongoing large climatic and environmental changes and the history of science coordination in Svalbard leading to the development of Svalbard Integrated Arctic Earth Observing System (SIOS), we present an overview of the current gaps in kn
Externí odkaz:
https://doaj.org/article/0d2d434669c54871895a7d82b43e1c23
Natural language is generated by people, yet traditional language modeling views words or documents as if generated independently. Here, we propose human language modeling (HuLM), a hierarchical extension to the language modeling problem whereby a hu
Externí odkaz:
http://arxiv.org/abs/2205.05128
Autor:
Whitney M. Davidson, Anika Mahavni, Timothy Chrusciel, Joanne Salas, Lisa R. Miller-Matero, Mark D. Sullivan, Celeste Zabel, Patrick J. Lustman, Brian K. Ahmedani, Jeffrey F. Scherrer
Publikováno v:
Journal of Cannabis Research, Vol 6, Iss 1, Pp 1-10 (2024)
Abstract Objective Marijuana use is increasingly common among patients with chronic non-cancer pain (CNCP) and long-term opioid therapy (LTOT). We determined if lifetime recreational and medical marijuana use were associated with more frequent and hi
Externí odkaz:
https://doaj.org/article/03d167b50415429e8036664dd8e6b50f
Autor:
David Clemens-Sewall, Chris Polashenski, Ian A. Raphael, Matthew Parno, Don Perovich, Polona Itkin, Matthias Jaggi, Arttu Jutila, Amy R. Macfarlane, Ilkka S. O. Matero, Marc Oggier, Ronald J. W. Visser, David N. Wagner
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-14 (2024)
Abstract Snow and ice topography impact and are impacted by fluxes of mass, energy, and momentum in Arctic sea ice. We measured the topography on approximately a 0.5 km2 drifting parcel of Arctic sea ice on 42 separate days from 18 October 2019 to 9
Externí odkaz:
https://doaj.org/article/2fa502b0aaf14fdaaa97249f28a61b43
Recent works have demonstrated ability to assess aspects of mental health from personal discourse. At the same time, pre-trained contextual word embedding models have grown to dominate much of NLP but little is known empirically on how to best apply
Externí odkaz:
http://arxiv.org/abs/2112.13795
Autor:
Christiansen, Hanne H.1 (AUTHOR) hannec@unis.no, Matero, Ilkka S. O.2 (AUTHOR), Baddeley, Lisa1,3 (AUTHOR), Holmén, Kim4 (AUTHOR), Hoppe, Clara J. M.5 (AUTHOR), Loonen, Maarten J. J. E.6 (AUTHOR), Storvold, Rune7 (AUTHOR), Vitale, Vito8 (AUTHOR), Zaborska, Agata9 (AUTHOR), Lihavainen, Heikki2 (AUTHOR)
Publikováno v:
Earth System Dynamics. 2024, Vol. 15 Issue 4, p933-946. 14p.
Much of natural language processing is focused on leveraging large capacity language models, typically trained over single messages with a task of predicting one or more tokens. However, modeling human language at higher-levels of context (i.e., sequ
Externí odkaz:
http://arxiv.org/abs/2109.08113
Autor:
Lange, Benjamin A., Matero, Ilkka, Salganik, Evgenii, Campbell, Karley, Katlein, Christian, Anhaus, Philipp, Osanen, Janina, Granskog, Mats A.
Publikováno v:
In Remote Sensing Applications: Society and Environment August 2024 35