Encontrados 37 documentos, a visualizar página 1 de 4
A stomata classification and detection system in microscope images of maize cul...
Aono, Alexandre H.; Nagai, James S.; Dickel, Gabriella da S.M.; Marinho, Rafaela C.; de Oliveira, Paulo E.A.M.; Papa, João P. [UNESP]; Faria, Fabio A.Made available in DSpace on 2022-04-29T08:35:46Z (GMT). No. of bitstreams: 0 Previous issue date: 2021-10-01; Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq); Plant stomata are essential structures (pores) that control the exchange of gases between plant leaves and the atmosphere, and also they influence plant adaptation to climate through photosynthesis and transpiration stream. Many works...
A survey on text generation using generative adversarial networks
de Rosa, Gustavo H. [UNESP]; Papa, João P. [UNESP]Made available in DSpace on 2022-04-29T08:29:58Z (GMT). No. of bitstreams: 0 Previous issue date: 2021-11-01; This work presents a thorough review concerning recent studies and text generation advancements using Generative Adversarial Networks. The usage of adversarial learning for text generation is promising as it provides alternatives to generate the so-called “natural” language. Nevertheless, adversarial te...
Training optimum-path forest on graphics processing units
Iwashita, Adriana S. [UNESP]; Romero, Marcos V.T. [UNESP]; Baldassin, Alexandro [UNESP]; Costa, Kelton A.P. [UNESP]; Papa, João P. [UNESP]Made available in DSpace on 2022-04-29T07:20:28Z (GMT). No. of bitstreams: 0 Previous issue date: 2014-01-01; In this paper, we presented a Graphics Processing Unit (GPU)-based training algorithm for Optimum-Path Forest (OPF) classifier. The proposed approach employs the idea of a vector-matrix multiplication to speed up both traditional OPF training algorithm and a recently proposed Central Processing Unit (CP...
Fast optimum-path forest classification on graphics processors
Romero, Marcos V.T. [UNESP]; Iwashita, Adriana S. [UNESP]; Papa, Luciene P.; Souza, André N. [UNESP]; Papa, João P. [UNESP]Made available in DSpace on 2022-04-29T07:20:28Z (GMT). No. of bitstreams: 0 Previous issue date: 2014-01-01; Some pattern recognition techniques may present a high computational cost for learning samples' behaviour. The Optimum-Path Forest (OPF) classifier has been recently developed in order to overcome such drawbacks. Although it can achieve faster training steps when compared to some state-of-art techniques...
Barrett’s esophagus analysis using surf features
Souza, Luis [UNESP]; Hook, Christian; Papa, João P. [UNESP]; Palm, ChristophMade available in DSpace on 2022-04-30T00:06:41Z (GMT). No. of bitstreams: 0 Previous issue date: 2017-01-01; The development of adenocarcinoma in Barrett’s esophagus is difficult to detect by endoscopic surveillance of patients with signs of dysplasia. Computer assisted diagnosis of endoscopic images (CAD) could therefore be most helpful in the demarcation and classification of neoplastic lesions. In this stud...
An ensemble-based approach for breast mass classification in mammography images
Ribeiro, Patricia B. [UNESP]; Papa, João P. [UNESP]; Romero, Roseli A. F.Made available in DSpace on 2022-04-30T10:33:45Z (GMT). No. of bitstreams: 0 Previous issue date: 2017-02-03; São Paulo State University; University of São Paulo; São Paulo State University
Convolutional Neural Networks for the evaluation of cancer in Barrett's esophag...
de Souza, Luis A.; Mendel, Robert; Strasser, Sophia; Ebigbo, Alanna; Probst, Andreas; Messmann, Helmut; Papa, João P. [UNESP]; Palm, ChristophMade available in DSpace on 2022-05-01T05:29:29Z (GMT). No. of bitstreams: 0 Previous issue date: 2021-08-01; Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP); Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq); Even though artificial intelligence and machine learning have demonstrated remarkable performances in medical image computing, their level of accountability and transparen...
Creating classifier ensembles through meta-heuristic algorithms for aerial scen...
Ferreira, Álvaro R.; de Rosa, Gustavo H. [UNESP]; Papa, João P. [UNESP]; Carneiro, Gustavo; Faria, Fabio A.Made available in DSpace on 2022-05-01T06:02:37Z (GMT). No. of bitstreams: 0 Previous issue date: 2020-01-01; Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP); Convolutional Neural Networks (CNN) have been being widely employed to solve the challenging remote sensing task of aerial scene classification. Nevertheless, it is not straightforward to find single CNN models that can solve all aerial scen...
OPFython: A Python implementation for Optimum-Path Forest[Formula presented]
de Rosa, Gustavo H. [UNESP]; Papa, João P. [UNESP]Made available in DSpace on 2022-05-01T09:30:54Z (GMT). No. of bitstreams: 0 Previous issue date: 2021-08-01; Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP); Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq); OPFython is an open-sourced Python package that implements Optimum-Path Forest algorithms using object-oriented programming and a straightforward structure. It provides an...
Neighbour-based bag-of-samplings for person identification through handwritten ...
de Rosa, Gustavo H. [UNESP]; Roder, Mateus [UNESP]; Papa, João P. [UNESP]Made available in DSpace on 2022-05-01T11:07:18Z (GMT). No. of bitstreams: 0 Previous issue date: 2022-05-01; Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP); Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq); Biometric recognition provides straightforward methods to deal with the problem of identifying people under certain circumstances. Additionally, a well-calibrated biometri...