Zobrazeno 1 - 10
of 113
pro vyhledávání: '"Rodrigo C. Barros"'
Autor:
Luís Vinícius de Moura, Christian Mattjie, Caroline Machado Dartora, Rodrigo C. Barros, Ana Maria Marques da Silva
Publikováno v:
Frontiers in Digital Health, Vol 3 (2022)
Both reverse transcription-PCR (RT-PCR) and chest X-rays are used for the diagnosis of the coronavirus disease-2019 (COVID-19). However, COVID-19 pneumonia does not have a defined set of radiological findings. Our work aims to investigate radiomic fe
Externí odkaz:
https://doaj.org/article/96bdfb49580b412c864b7d1a95da61bf
Publikováno v:
The Knowledge Engineering Review. 38
This paper presents a comprehensive review of evolutionary algorithms that learn an ensemble of predictive models for supervised machine learning (classification and regression). We propose a detailed four-level taxonomy of studies in this area. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d5986031606aaf42b7d26ee719ef3203
https://doi.org/10.1017/s0269888923000024
https://doi.org/10.1017/s0269888923000024
Publikováno v:
2022 International Joint Conference on Neural Networks (IJCNN).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::03dc5081460e8e15a6f6f18357e8b66b
https://doi.org/10.1109/ijcnn55064.2022.9892610
https://doi.org/10.1109/ijcnn55064.2022.9892610
Publikováno v:
AAAI
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::29fa82bbb79fb35277b0a306fae64c1c
https://doi.org/10.1609/aaai.v34i07.6915
https://doi.org/10.1609/aaai.v34i07.6915
Autor:
Camila Kolling, Martin More, Nathan Gavenski, Eduardo Pooch, Otavio Parraga, Rodrigo C. Barros
Publikováno v:
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f987707caa3792b5680dd7a8cf04e5e3
https://doi.org/10.1109/wacv51458.2022.00263
https://doi.org/10.1109/wacv51458.2022.00263
Publikováno v:
Intelligent Systems ISBN: 9783031216886
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eacec38353af701ac9597bf5af4630dd
https://doi.org/10.1007/978-3-031-21689-3_32
https://doi.org/10.1007/978-3-031-21689-3_32
Autor:
Luís Fernando Bittencourt, Otávio Parraga, Duncan D. Ruiz, Isabel H. Manssour, Soraia Raupp Musse, Rodrigo C. Barros
Publikováno v:
Intelligent Systems ISBN: 9783031216855
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b734a4880438aa92d18cf050fda8373a
https://doi.org/10.1007/978-3-031-21686-2_25
https://doi.org/10.1007/978-3-031-21686-2_25
Publikováno v:
Revista Principia - Divulgação Científica e Tecnológica do IFPB. 59:1504
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d0367100a7d721fcecc1495d1a8d45b4
https://doi.org/10.18265/1517-0306a2021id5470
https://doi.org/10.18265/1517-0306a2021id5470
Autor:
Arthur da Silva rebouças, Pedro Mitzcun Coutinho, Rodrigo C. Barros, Yngrid Rayane Freitas Nascimento, José Neres da Silva Filho
Publikováno v:
Revista IBRACON de Estruturas e Materiais, Vol 15, Iss 2 (2021)
Revista IBRACON de Estruturas e Materiais, Volume: 15, Issue: 2, Article number: e15208, Published: 24 SEP 2021
Revista IBRACON de Estruturas e Materiais v.15 n.2 2022
Revista IBRACON de Estruturas e Materiais
Instituto Brasileiro do Concreto (IBRACON)
instacron:IBRACON
Revista IBRACON de Estruturas e Materiais, Volume: 15, Issue: 2, Article number: e15208, Published: 24 SEP 2021
Revista IBRACON de Estruturas e Materiais v.15 n.2 2022
Revista IBRACON de Estruturas e Materiais
Instituto Brasileiro do Concreto (IBRACON)
instacron:IBRACON
The present study focuses on comparative parametric analysis of curved precast concrete bridges using straight and curved I-girders. The live load bending moment distribution for girders was studied using the bridge curvature and its relationship wit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c6a8671548896563e77af2815b7bf80e
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1983-41952022000200205&tlng=en
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1983-41952022000200205&tlng=en
Publikováno v:
IJCNN
Compressed neural-network models have a growing relevance in the Deep Learning literature, since they allow the deployment of AI on devices with computational constraints for many automation purposes. Despite the amount and diversity of work for this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1dc84298e8cd0f2397b5c362ed39205c
https://doi.org/10.1109/ijcnn52387.2021.9533792
https://doi.org/10.1109/ijcnn52387.2021.9533792