Zobrazeno 1 - 10
of 1 741
pro vyhledávání: '"Claudio, S."'
Autor:
CLAUDIO S. DEDECCA, FABIA TUMA
Publikováno v:
Brazilian Journal of Political Economy, Vol 5, Iss 1, Pp 142-146 (2024)
RESUMO Este comentário é uma resposta à proposta de política salarial promulgada por Paulo Renato Souza no vol 4, n. Número 2/1984 da Revista Brasileira de Economia Política. Nosso ponto principal é o desafio de decidir o nível correto de sal
Externí odkaz:
https://doaj.org/article/19e016d6263545f9a0aeb5c6be2a6692
This work considers supervised contrastive learning for semantic segmentation. We apply contrastive learning to enhance the discriminative power of the multi-scale features extracted by semantic segmentation networks. Our key methodological insight i
Externí odkaz:
http://arxiv.org/abs/2203.13409
Autor:
Pinhanez, Claudio S., Flores, German H., Vasconcelos, Marisa A., Qiao, Mu, Linck, Nick, de Paula, Rogério, Ong, Yuya J.
How can we best address the dangerous impact that deep learning-generated fake audios, photographs, and videos (a.k.a. deepfakes) may have in personal and societal life? We foresee that the availability of cheap deepfake technology will create a seco
Externí odkaz:
http://arxiv.org/abs/2204.01489
Autor:
Teixeira, Ritermayer, Horas, Cláudio S., De Jesus, Abílio M.P., Calçada, Rui, Bittencourt, Túlio N.
Publikováno v:
In Engineering Failure Analysis November 2024 165
Autor:
Teixeira, Ritermayer, Horas, Cláudio S., De Jesus, Abílio M.P., Calçada, Rui, Bittencourt, Túlio N.
Publikováno v:
In Engineering Structures 15 October 2024 317
Autor:
Bertoli, Gustavo, Clarke, Amy J., Kaufman, Michael J., Kiminami, Claudio S., Coury, Francisco G.
Publikováno v:
In International Journal of Plasticity December 2024 183
Autor:
Pinhanez, Claudio S.
In this position paper, I argue that the best way to help and protect humans using AI technology is to make them aware of the intrinsic limitations and problems of AI algorithms. To accomplish this, I suggest three ethical guidelines to be used in th
Externí odkaz:
http://arxiv.org/abs/2112.01281
Autor:
Virtuoso, Marcos Claudio S., Hosseini, Anahid, Aalhus, Jennifer L., Juárez, Manuel, Bruce, Heather L., Li, Changxi, Basarab, John A., Valente, Tiago S., Plastow, Graham
Publikováno v:
In Meat Science January 2024 207
Autor:
Kim Wong, Federico Abascal, Latasha Ludwig, Heike Aupperle-Lellbach, Julia Grassinger, Colin W. Wright, Simon J. Allison, Emma Pinder, Roger M. Phillips, Laura P. Romero, Arnon Gal, Patrick J. Roady, Isabel Pires, Franco Guscetti, John S. Munday, Maria C. Peleteiro, Carlos A. Pinto, Tânia Carvalho, João Cota, Elizabeth C. Du Plessis, Fernando Constantino-Casas, Stephanie Plog, Lars Moe, Simone de Brot, Ingrid Bemelmans, Renée Laufer Amorim, Smitha R. Georgy, Justina Prada, Jorge del Pozo, Marianne Heimann, Louisiane de Carvalho Nunes, Outi Simola, Paolo Pazzi, Johan Steyl, Rodrigo Ubukata, Peter Vajdovich, Simon L. Priestnall, Alejandro Suárez-Bonnet, Franco Roperto, Francesca Millanta, Chiara Palmieri, Ana L. Ortiz, Claudio S. L. Barros, Aldo Gava, Minna E. Söderström, Marie O’Donnell, Robert Klopfleisch, Andrea Manrique-Rincón, Inigo Martincorena, Ingrid Ferreira, Mark J. Arends, Geoffrey A. Wood, David J. Adams, Louise van der Weyden
Publikováno v:
Genome Biology, Vol 24, Iss 1, Pp 1-29 (2023)
Abstract Background In humans, muscle-invasive bladder cancer (MIBC) is highly aggressive and associated with a poor prognosis. With a high mutation load and large number of altered genes, strategies to delineate key driver events are necessary. Dogs
Externí odkaz:
https://doaj.org/article/7c66e401481649aaa960de808d382f15