Zobrazeno 1 - 10
of 1 229
pro vyhledávání: '"Santos Fernando P."'
Autor:
Paloma Catelan
Publikováno v:
Revista Eletrônica História em Reflexão, Vol 17, Iss 33, Pp 391-395 (2023)
Resenha da obra "A conduta marcial inglesa na Guerra dos Cem Anos: um estudo sobre os ditames morais do conflito ao final da Idade Média (1400-1453)", de autoria de Fernando Pereira dos Santos, Doutor em História pela Universidade Estadual Paulista
Externí odkaz:
https://doaj.org/article/013c1363ddb545728d1ac9d3ec99eb87
Autor:
Bioucas, Francisco E. B., Queirós, Carla S. G. P., Lozano-Martín, Daniel, Ferreira, M. S., Paredes, Xavier, Santos, Ângela F., Santos, Fernando J. V., Lopes, Manuel L. M., Lampreia, Isabel M. S., Lourenço, Maria José V., de Castro, Carlos A. Nieto, Massonne, Klemens
Publikováno v:
Ind. Eng. Chem. Res. 2022, 61, 5, 2280-2305
Ionic liquids have proved to be excellent heat transfer fluids and alternatives to common HTFs used in industries for heat exchangers and other heat transfer equipment. However, its industrial utilization depends on the cost per kg of its production,
Externí odkaz:
http://arxiv.org/abs/2409.04070
Autor:
Iurada, Leonardo, Cavagnero, Niccolò, Santos, Fernando Fernandes Dos, Averta, Giuseppe, Rech, Paolo, Tommasi, Tatiana
Deep learning models are crucial for autonomous vehicle perception, but their reliability is challenged by algorithmic limitations and hardware faults. We address the latter by examining fault-tolerance in semantic segmentation models. Using establis
Externí odkaz:
http://arxiv.org/abs/2408.16952
Autor:
Lopes, Alexandre, Santos, Fernando Pereira dos, de Oliveira, Diulhio, Schiezaro, Mauricio, Pedrini, Helio
Publikováno v:
Computers & Graphics, Volume 123, October 2024, 104015
Deep neural networks have consistently represented the state of the art in most computer vision problems. In these scenarios, larger and more complex models have demonstrated superior performance to smaller architectures, especially when trained with
Externí odkaz:
http://arxiv.org/abs/2408.08250
Autor:
Góis, António, Mofakhami, Mehrnaz, Santos, Fernando P., Lacoste-Julien, Simon, Gidel, Gauthier
Predictions often influence the reality which they aim to predict, an effect known as performativity. Existing work focuses on accuracy maximization under this effect, but model deployment may have important unintended impacts, especially in multiage
Externí odkaz:
http://arxiv.org/abs/2408.05146
Autor:
Smit, Martin, Santos, Fernando P.
Publikováno v:
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence Main Track (2024). Pages 220-228
Altruistic cooperation is costly yet socially desirable. As a result, agents struggle to learn cooperative policies through independent reinforcement learning (RL). Indirect reciprocity, where agents consider their interaction partner's reputation, h
Externí odkaz:
http://arxiv.org/abs/2408.04549
Autor:
Vasconcelos, Vítor V., Marquitti, Flávia M. D., Ong, Theresa, McManus, Lisa C., Aguiar, Marcus, Campos, Amanda B., Dutta, Partha S., Jovanelly, Kristen, Junquera, Victoria, Kong, Jude, Krueger, Elisabeth H., Levin, Simon A., Liao, Wenying, Lu, Mingzhen, Mittal, Dhruv, Pascual, Mercedes, Pinheiro, Flávio L., Rocha, Juan, Santos, Fernando P., Sloot, Peter, Chenyang, Su, Taylor, Benton, Tekwa, Eden, Terpstra, Sjoerd, Tilman, Andrew R., Watson, James R., Yang, Luojun, Yitbarek, Senay, Zhan, Qi
Complex adaptive systems (CASs), from ecosystems to economies, are open systems and inherently dependent on external conditions. While a system can transition from one state to another based on the magnitude of change in external conditions, the rate
Externí odkaz:
http://arxiv.org/abs/2309.07449
Autor:
de Souza, Danillo Barros, da Cunha, Jonatas T. S., Santos, Fernando A. N., Jost, Jürgen, Rodrigues, Serafim
Forman-Ricci curvature (FRC) is a potent and powerful tool for analysing empirical networks, as the distribution of the curvature values can identify structural information that is not readily detected by other geometrical methods. Crucially, FRC cap
Externí odkaz:
http://arxiv.org/abs/2308.11763
Autor:
Santos, Fernando Montenegro-Dos, Pérez-Galarce, Francisco, Monardes-Concha, Carlos, Cruz-Zárate, Sergio, Candia-Véjar, Alfredo
Vaccination campaigns have saved thousands of lives, reaching the farthest places in the world. These campaigns have required substantial investments and accurate coordination between several actors within the vaccine supply chain. Despite these succ
Externí odkaz:
http://arxiv.org/abs/2307.08718
Autor:
Guerrero-Balaguera, Juan-David, Condia, Josie E. Rodriguez, Santos, Fernando F. dos, Sonza, Matteo, Rech, Paolo
Publikováno v:
ACM/IEEE International Conference for High Performance Computing, Networking, Storage, and Analysis, ACM; IEEE, Nov 2023, Denver, United States
Graphics Processing Units (GPUs) are over-stressed to accelerate High-Performance Computing applications and are used to accelerate Deep Neural Networks in several domains where they have a life expectancy of many years. These conditions expose the G
Externí odkaz:
http://arxiv.org/abs/2306.10856