Zobrazeno 1 - 10
of 239
pro vyhledávání: '"Geada, P."'
The boundless possibility of neural networks which can be used to solve a problem -- each with different performance -- leads to a situation where a Deep Learning expert is required to identify the best neural network. This goes against the hope of r
Externí odkaz:
http://arxiv.org/abs/2404.02189
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract In this work, a multivariate analysis was carried out, using a Plackett–Burman (PB) design involving seventeen growth parameters, on carotenoids production of Pavlova gyrans (p
Externí odkaz:
https://doaj.org/article/a064f8c442364c6ea0b20a174ebc380a
Autor:
Rosa María Brooks Laverdeza, Arianna González Rodríguez, Josefina Blanco Ojeda, Arturo Salmerón López, Gretel Geada López
Publikováno v:
Revista Cubana de Ciencias Forestales, Vol 12, Iss 3, Pp e864-e864 (2024)
La invasión de especies exóticas de espacios naturales constituye un problema de conservación a nivel global. En la Reserva Ecológica Siboney-Juticí, Leucaena leucocephala es considerada como una de sus principales amenazas para la conservación
Externí odkaz:
https://doaj.org/article/054f897994074368941ebc048cd8891a
Autor:
Ana Marta, João Pedro Marques, Cristina Santos, Luísa Coutinho-Santos, Sara Vaz-Pereira, José Costa, Pedro Arede, Raquel Félix, Sara Geada, Nuno Gouveia, Rui Silva, Margarida Baptista, Miguel Lume, Ricardo Parreira, Célia Azevedo Soares, Maria João Menéres, Carolina Lemos, João Melo Beirão
Publikováno v:
Orphanet Journal of Rare Diseases, Vol 19, Iss 1, Pp 1-12 (2024)
Abstract Background Inherited retinal diseases (IRDs) are a group of rare degenerative disorders of the retina that can lead to blindness from birth to late middle age. Knowing the target population and its resources is essential to better plan suppo
Externí odkaz:
https://doaj.org/article/9875a6d3f0cd430c869ea987bc399996
Autor:
Geada, Rob, McGough, Andrew Stephen
Neural Architecture Search (NAS) algorithms are intended to remove the burden of manual neural network design, and have shown to be capable of designing excellent models for a variety of well-known problems. However, these algorithms require a variet
Externí odkaz:
http://arxiv.org/abs/2204.09320
Autor:
Alexandra Geada, Dhaval Jivanji, Daniel M. Tennenbaum, Armin Ghomeshi, Raghuram Reddy, Michael Sencaj, Jamie Thomas, Daniel E. Nassau, Ranjith Ramasamy
Publikováno v:
Therapeutic Advances in Urology, Vol 16 (2024)
Introduction: Sexual dysfunction is highly prevalent among men of reproductive age. Clinical practice guidelines have been established to assist providers in identification and education of patients who are at increased risk for infertility and sexua
Externí odkaz:
https://doaj.org/article/514eae80660d4ea898cf6cd7c9087796
Artificial intelligence (AI) is becoming increasingly more popular and can be found in workplaces and homes around the world. The decisions made by such "black box" systems are often opaque; that is, so complex as to be functionally impossible to und
Externí odkaz:
http://arxiv.org/abs/2104.12717
One-shot Neural Architecture Search (NAS) aims to minimize the computational expense of discovering state-of-the-art models. However, in the past year attention has been drawn to the comparable performance of naive random search across the same searc
Externí odkaz:
http://arxiv.org/abs/2006.09264
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