Zobrazeno 1 - 10
of 76
pro vyhledávání: '"Renato A. Krohling"'
Autor:
Maria Clara Falcão Ribeiro-de-Assis, Júlia Pessini Soares, Leandro Muniz de Lima, Liliana Aparecida Pimenta de Barros, Tânia Regina Grão-Velloso, Renato A. Krohling, Danielle Resende Camisasca
Publikováno v:
Data in Brief, Vol 48, Iss , Pp 109128- (2023)
The gold standard for the diagnosis of oral cancer is the microscopic analysis of specimens removed preferentially through incisional biopsies of oral mucosa with a clinically detected suspicious lesion. This dataset contains captured histopathologic
Externí odkaz:
https://doaj.org/article/104a27231df44e898e0f22d031032cf5
Publikováno v:
Information Processing in Agriculture, Vol 9, Iss 1, Pp 38-47 (2022)
In recent years, deep learning methods have been introduced for segmentation and classification of leaf lesions caused by pests and pathogens. Among the commonly used approaches, convolutional neural networks have provided results with high accuracy.
Externí odkaz:
https://doaj.org/article/bab31167c23d494b92127ff12c0b8697
Autor:
Lucas M. Tassis, Renato A. Krohling
Publikováno v:
Artificial Intelligence in Agriculture, Vol 6, Iss , Pp 55-67 (2022)
In the last few years, deep neural networks have achieved promising results in several fields. However, one of the main limitations of these methods is the need for large-scale datasets to properly generalize. Few-shot learning methods emerged as an
Externí odkaz:
https://doaj.org/article/70bd7fcc13d846788b26fe20ab13b4ea
Autor:
Andre G.C. Pacheco, Gustavo R. Lima, Amanda S. Salomão, Breno Krohling, Igor P. Biral, Gabriel G. de Angelo, Fábio C.R. Alves Jr, José G.M. Esgario, Alana C. Simora, Pedro B.C. Castro, Felipe B. Rodrigues, Patricia H.L. Frasson, Renato A. Krohling, Helder Knidel, Maria C.S. Santos, Rachel B. do Espírito Santo, Telma L.S.G. Macedo, Tania R.P. Canuto, Luíz F.S. de Barros
Publikováno v:
Data in Brief, Vol 32, Iss , Pp 106221- (2020)
Over the past few years, different Computer-Aided Diagnosis (CAD) systems have been proposed to tackle skin lesion analysis. Most of these systems work only for dermoscopy images since there is a strong lack of public clinical images archive availabl
Externí odkaz:
https://doaj.org/article/b650cf09a829479f91fabb51a7a048eb
Autor:
Leandro Muniz de Lima, Maria Clara Falcão Ribeiro de Assis, Júlia Pessini Soares, Tânia Regina Grão-Velloso, Liliana Aparecida Pimenta de Barros, Danielle Resende Camisasca, Renato Antonio Krohling
Publikováno v:
Intelligent Medicine.
Publikováno v:
Information Processing in Agriculture. 9:38-47
In recent years, deep learning methods have been introduced for segmentation and classification of leaf lesions caused by pests and pathogens. Among the commonly used approaches, convolutional neural networks have provided results with high accuracy.
Publikováno v:
2022 IEEE Latin American Conference on Computational Intelligence (LA-CCI).
Publikováno v:
IEEE Journal of Biomedical and Health Informatics. 25:3554-3563
Computer-aided skin cancer classification systems built with deep neural networks usually yield predictions based only on images of skin lesions. Despite presenting promising results, it is possible to achieve higher performance by taking into accoun
Autor:
Leandro M. de Lima, Renato A. Krohling
Publikováno v:
Intelligent Systems ISBN: 9783031216886
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c3562806f6ebb8c895e4ae0adaf88451
https://doi.org/10.1007/978-3-031-21689-3_21
https://doi.org/10.1007/978-3-031-21689-3_21
Autor:
Leandro M. de Lima, Renato A. Krohling
Publikováno v:
IJCNN
High dropout rates in tertiary education expose a lack of efficiency that causes frustration of expectations and financial waste. Predicting students at risk is not enough to avoid student dropout. Usually, an appropriate aid action must be discovere