Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Felipe Leno Da Silva"'
Autor:
Guilherme Vieira Hollweg, Van-Hai Bui, Felipe Leno Da Silva, Ruben Glatt, Shivam Chaturvedi, Wencong Su
Publikováno v:
IEEE Open Access Journal of Power and Energy, Vol 10, Pp 629-642 (2023)
This paper presents a novel approach for grid-injected current control of DC-AC converters using a robust model reference adaptive controller (RMRAC) with deep symbolic optimization (DSO). Grid voltages are known to be time-varying and can contain di
Externí odkaz:
https://doaj.org/article/75de0279ee0b46df9751339c52bd5c38
Autor:
Van-Hai Bui, Fangyuan Chang, Wencong Su, Mengqi Wang, Yi Lu Murphey, Felipe Leno Da Silva, Can Huang, Lingxiao Xue, Ruben Glatt
Publikováno v:
IEEE Access, Vol 10, Pp 78702-78712 (2022)
The optimal design of power converters often requires a huge number of simulations and numeric analyses to determine the optimal parameters. This process is time-consuming and results in a high computational cost. Therefore, this paper proposes a dee
Externí odkaz:
https://doaj.org/article/759f5922d36046dcb2cc1286ea4c99c0
Autor:
Felipe Leno da Silva
Publikováno v:
Biblioteca Digital de Teses e Dissertações da USPUniversidade de São PauloUSP.
Diversas pesquisas focam no estudo e conservação das abelhas, em grande parte por sua importância para a agricultura. Entretanto, a identicação de espécies de abelhas vem sendo um impedimento para a condução de novas pesquisas, já que demand
Autor:
Ruben Glatt, Felipe Leno da Silva, Reinaldo Augusto da Costa Bianchi, Anna Helena Reali Costa
Publikováno v:
Federated and Transfer Learning ISBN: 9783031117473
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::981553f667e0de90bb9fdff8d87d14f4
https://doi.org/10.1007/978-3-031-11748-0_14
https://doi.org/10.1007/978-3-031-11748-0_14
Autor:
Felipe Leno da Silva, Patrick MacAlpine, Roxana Rădulescu, Fernando P. Santos, Patrick Mannion
Publikováno v:
Neural Computing and Applications. 34:1649-1651
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::edc67ec6c274de0d70d2b3ddedc7772a
https://doi.org/10.1007/s00521-021-06593-4
https://doi.org/10.1007/s00521-021-06593-4
Autor:
Denis Vashchenko, Sam Nguyen, Andre Goncalves, Felipe Leno da Silva, Brenden Petersen, Thomas Desautels, Daniel Faissol
Understanding the degree of humanness of antibody sequences is critical to the therapeutic antibody development process to reduce the risk of failure modes like immunogenicity or poor manufacturability. We introduce AbBERT, a transformer-based langua
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::68b287218224861eb72ebb1687287c9a
https://doi.org/10.1101/2022.08.02.502236
https://doi.org/10.1101/2022.08.02.502236
Autor:
Felipe Leno Da Silva, Silvio Stanzani, Jefferson Fialho, Jorge Mondadori, Muriel Mazzetto, Felipe Sanches Couto, Raphael Cobe
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 35:15640-15646
The industry demand for AI experts raised to unprecedented levels in the last years. However, the increasing demand was not met by the number of skilled professionals in this area. As an effort to mitigate this problem, many companies create AI resid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6b98ccab0f424d54e4b129159d3b2dfe
https://doi.org/10.1609/aaai.v35i17.17842
https://doi.org/10.1609/aaai.v35i17.17842
Publikováno v:
AAAI
Although Reinforcement Learning (RL) has been one of the most successful approaches for learning in sequential decision making problems, the sample-complexity of RL techniques still represents a major challenge for practical applications. To combat t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::54452ef8e80b20045a4b9e0eaf245f24
https://doi.org/10.1609/aaai.v34i04.6036
https://doi.org/10.1609/aaai.v34i04.6036
Autor:
Edward Rusu, William A. Dawson, Braden Soper, Ruben Glatt, Felipe Leno da Silva, Ryan Goldhahn
Publikováno v:
BuildSys@SenSys
The ongoing industrialization and rising technology adoption around the world are leading to ever higher energy consumption. The benefits of electrification are enormous, but the growing demand also comes with challenges with respect to associated gr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d1a56cb9ecb149ebac377c298e1dd6ae
https://doi.org/10.1145/3486611.3488732
https://doi.org/10.1145/3486611.3488732
Publikováno v:
LatinX in AI at International Conference on Machine Learning 2021.
Although Machine Learning algorithms are solving tasks of ever-increasing complexity, gathering data and building training sets remains an error prone, costly, and difficult problem. However, reusing knowledge from related previously-solved tasks ena
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7ba775d36d3b4304950fd7deabe8bd46
https://doi.org/10.52591/lxai202107242
https://doi.org/10.52591/lxai202107242