Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Raphael V. Carneiro"'
Autor:
João Paulo A. Andrade, Leonardo S. Paulucio, Thiago M. Paixão, Rodrigo F. Berriel, Teresa Cristina Janes Carneiro, Raphael V. Carneiro, Alberto F. De Souza, Claudine Badue, Thiago Oliveira-Santos
Publikováno v:
Anais do XVIII Encontro Nacional de Inteligência Artificial e Computacional (ENIAC 2021).
Companies created for money-laundering or as a means for taxevasion are harmful to the country's economy and society. This problem is usually tackled by governmental agencies by having officials to pore over companies' financial data and to single ou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::18e15b25101702fa79123aefd1077b84
https://doi.org/10.5753/eniac.2021.18250
https://doi.org/10.5753/eniac.2021.18250
Autor:
Claudine Badue, Alberto F. De Souza, Vinicius B. Cardoso, Filipe Mutz, Thiago Oliveira-Santos, Raphael V. Carneiro, Sabrina S. Panceri
Publikováno v:
IJCNN
Breast cancer cases are steadily increasing over the years. To improve the chances of a successful treatment, it is essential to diagnose and treat lesions in the initial stages. Screening methods, such as mammography, are one of the most effective s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::07c1729f5afd7a678a17f51946453a1a
https://doi.org/10.1109/ijcnn52387.2021.9533376
https://doi.org/10.1109/ijcnn52387.2021.9533376
Autor:
Raphael V. Carneiro, Thiago Oliveira-Santos, Ranik Guidolini, Alberto F. De Souza, Claudine Badue
Publikováno v:
IJCNN
We propose a technique for removing traces of movable objects from occupancy grid maps based on deep neural networks, dubbed enhanced occupancy grid map generation (E-OGM-G). In E-OGM-G, we capture camera images synchronized and aligned with LiDAR ra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1103ce85eb9f239e6ec223833ef92b88
https://doi.org/10.1109/ijcnn.2019.8851779
https://doi.org/10.1109/ijcnn.2019.8851779
Autor:
Filipe Mutz, Alberto F. De Souza, Vinicius B. Cardoso, Rânik Guidolini, Luan F. R. Jesus, Lucas de Paula Veronese, Thiago Oliveira-Santos, Raphael V. Carneiro, Avelino Forechi, Rodrigo F. Berriel, Claudine Badue, Pedro Azevedo, Thiago M. Paixão
Publikováno v:
Expert Systems with Applications. 165:113816
We survey research on self-driving cars published in the literature focusing on autonomous cars developed since the DARPA challenges, which are equipped with an autonomy system that can be categorized as SAE level 3 or higher. The architecture of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e681d88462ec04a5ffdaedd789cda5c4
https://doi.org/10.1016/j.eswa.2020.113816
https://doi.org/10.1016/j.eswa.2020.113816
Autor:
Vinicius B. Cardoso, Ranik Guidolini, Alberto F. De Souza, Claudine Badue, Thiago Oliveira-Santos, Raphael V. Carneiro, Rafael C. Nascimento
Publikováno v:
IJCNN
We propose the use of deep neural networks (DNN) for solving the problem of inferring the position and relevant properties of lanes of urban roads with poor or absent horizontal signalization, in order to allow the operation of autonomous cars in suc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::09225d64ef54b416602498d106176fd5
Autor:
Stiven S. Dias, Alberto F. De Souza, Raphael V. Carneiro, Hallysson Oliveira, Dijalma Fardin, Artur S. d'Avila Garcez
Publikováno v:
Neural Information Processing ISBN: 9783540464792
ICONIP (1)
ICONIP (1)
In this work, the correlation between input-output patterns stored in the memory of the neurons of Virtual Generalizing RAM (VG-RAM) weightless neural networks, or knowledge correlation, is used to improve the performance of these neural networks. Th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e0626c3f39552aaf2d570d7c67834548
https://doi.org/10.1007/11893028_48
https://doi.org/10.1007/11893028_48