Zobrazeno 1 - 10
of 6 425
pro vyhledávání: '"Garrard ON"'
Autor:
Krithara, Anastasia, Aisopos, Fotis, Rentoumi, Vassiliki, Nentidis, Anastasios, Bougatiotis, Konstantinos, Vidal, Maria-Esther, Menasalvas, Ernestina, Rodriguez-Gonzalez, Alejandro, Samaras, Eleftherios G., Garrard, Peter, Torrente, Maria, Pulla, Mariano Provencio, Dimakopoulos, Nikos, Mauricio, Rui, De Argila, Jordi Rambla, Tartaglia, Gian Gaetano, Paliouras, George
Publikováno v:
2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS), Cordoba, Spain, 2019, pp. 106-111
The vision of IASIS project is to turn the wave of big biomedical data heading our way into actionable knowledge for decision makers. This is achieved by integrating data from disparate sources, including genomics, electronic health records and bibli
Externí odkaz:
http://arxiv.org/abs/2407.06748
Autor:
Garrard, Mia, Wang, Hanson, Letham, Ben, Singh, Shaun, Kazerouni, Abbas, Tan, Sarah, Wang, Zehui, Huang, Yin, Hu, Yichun, Zhou, Chad, Zhou, Norm, Bakshy, Eytan
Many organizations measure treatment effects via an experimentation platform to evaluate the casual effect of product variations prior to full-scale deployment. However, standard experimentation platforms do not perform optimally for end user populat
Externí odkaz:
http://arxiv.org/abs/2303.17648
Autor:
Markov, Igor L., Apostolopoulos, Pavlos A., Garrard, Mia R., Qie, Tanya, Huang, Yin, Gupta, Tanvi, Li, Anika, Cardoso, Cesar, Han, George, Maghsoudian, Ryan, Zhou, Norm
ML platforms help enable intelligent data-driven applications and maintain them with limited engineering effort. Upon sufficiently broad adoption, such platforms reach economies of scale that bring greater component reuse while improving efficiency o
Externí odkaz:
http://arxiv.org/abs/2302.14139
Autor:
Clare Garrard, Teresa D’Altri, Xenia Perez-Sitja, Minna Ahokas, Niclas Jareborg, Flavio Licciulli, Ivan Mičetić, Nils-Christian Lübke, Helena Schnitzer, Daniel Wibberg, Yvonne Kallberg, Flora D'Anna, Patricia M. Palagi, Mijke Jetten, Korbinian Bösl, Wei Gu, Munazah Andrabi, Katharina F. Heil, Susanna-Assunta Sansone, Ana M. P. Melo, Jiri Vondrasek, Daniel Faria, Ulrike Wittig, Anastasis Oulas, Jorge Oliveira, Pinar Alper, Robert Andrews, Siiri Fuchs, Celia van Gelder, Thanasis Vergoulis, Brane Leskošek, Krzysztof Poterlowicz, Patrick Ruch, Nazeefa Fatima
Publikováno v:
F1000Research, Vol 13 (2024)
Research data management (RDM) is central to the implementation of the FAIR (Findable Accessible, Interoperable, Reusable) and Open Science principles. Recognising the importance of RDM, ELIXIR Platforms and Nodes have invested in RDM and launched va
Externí odkaz:
https://doaj.org/article/1bbf09f9e16849dea9ed929b92e2f9d4
Autor:
Dale R. Wright, Ascelin Gordon, Ruth E. Bennett, Matthew J. Selinske, Pia E. Lentini, Georgia E. Garrard, Amanda D. Rodewald, Sarah A. Bekessy
Publikováno v:
Journal of Sustainable Agriculture and Environment, Vol 3, Iss 3, Pp n/a-n/a (2024)
Abstract Introduction Coffee is a ubiquitous global commodity that is cultivated with a wide range of practices, each with different, yet poorly understood trade‐offs between management intensity, yield, and biodiversity. For example, monocultures
Externí odkaz:
https://doaj.org/article/cb438f8853d84f26a0dedb2e442deb0a
Autor:
Ibrahim, Peter, Garrard, Rebecca, Penchev, Pavel, Man, Kenny, Cox, Sophie C., Dimov, Stefan, Attallah, Moataz M.
Publikováno v:
In Materials & Design November 2024 247
Publikováno v:
In Landscape and Urban Planning November 2024 251
Publikováno v:
In Hydrometallurgy January 2025 231
Autor:
Siddharth Ramanan, Ajay D. Halai, Lorna Garcia-Penton, Alistair G. Perry, Nikil Patel, Katie A. Peterson, Ruth U. Ingram, Ian Storey, Stefano F. Cappa, Eleonora Catricala, Karalyn Patterson, James B. Rowe, Peter Garrard, Matthew A. Lambon Ralph
Publikováno v:
Alzheimer’s Research & Therapy, Vol 15, Iss 1, Pp 1-18 (2023)
Abstract Background Clinical variants of primary progressive aphasia (PPA) are diagnosed based on characteristic patterns of language deficits, supported by corresponding neural changes on brain imaging. However, there is (i) considerable phenotypic
Externí odkaz:
https://doaj.org/article/ba662adda8e8404cb774cc5b9b49df3e
Publikováno v:
Applied Sciences, Vol 14, Iss 21, p 10026 (2024)
This study focuses on designing enhanced Physically Unclonable Functions (PUFs) based on SRAM devices and improving the security of cryptographic systems. Most SRAM PUFs are limited in their number of CRPs, which makes them vulnerable to enrollment a
Externí odkaz:
https://doaj.org/article/95364458d467480bbdc16e8ae36229e0