BreastNet: Breast Cancer Categorization Using Convolutional Neural Networks

Autor: Clayton R. Pereira, João Paulo Papa, Luis Claudio Sugi Afonso, Claudio Filipi Goncalves dos Santos

Publikováno v: CBMS

Breast cancer is usually classified as either benign or malignant, where the former is not considered hazardous to health. Nonetheless, the benign tumors must be periodically monitored to control their activity and to prevent them from becoming malig

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::17364773291e92a189f324c61e4dce64
https://doi.org/10.1109/cbms49503.2020.00094

Automated recognition of lung diseases in CT images based on the optimum-path forest classifier

Autor: João Manuel R. S. Tavares, Clayton R. Pereira, Pedro Pedrosa Rebouças Filho, Victor Hugo C. de Albuquerque, João Paulo Papa, Antônio Carlos da Silva Barros, Geraldo Luis Bezerra Ramalho

Publikováno v: Repositório Científico de Acesso Aberto de Portugal
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP
Web of Science
Repositório Institucional da UNESP
Universidade Estadual Paulista (UNESP)
instacron:UNESP

Made available in DSpace on 2019-10-05T22:02:15Z (GMT). No. of bitstreams: 0 Previous issue date: 2019-02-01 Graduate Program in Computer Science from the Federal Institute of Education, Science and Technology of Ceara Department of Computer Engineer

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f6b21af5b070c3343f5d049afd4b6034
https://doi.org/10.1007/s00521-017-3048-y

Multiple-Instance Learning through Optimum-Path Forest

Autor: Kelton A. P. Costa, Clayton R. Pereira, Danilo Colombo, Luis Claudio Sugi Afonso, João Paulo Papa

Publikováno v: IJCNN

Multiple-instance (MI) learning aims at modeling problems that are better described by several instances of a given sample instead of individual descriptions often employed by standard machine learning approaches. In binary-driven MI problems, the en

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8678e5c6ebe22f6e928dc6e3e800844b
https://doi.org/10.1109/ijcnn.2019.8852454

A nature-inspired approach to speed up optimum-path forest clustering and its application to intrusion detection in computer networks

Autor: Alexandre X. Falcão, Luis A. M. Pereira, Rodrigo Y. M. Nakamura, Kelton A. P. Costa, João Paulo Papa, Clayton R. Pereira

Publikováno v: Information Sciences. 294:95-108

A new meta-heuristic optimization approach to speed up Optimum-Path Forest clustering.Intrusion detection in computer networks by means of Optimum-Path Forest clustering.Comparison of several meta-heuristics for Optimum-Path Forest optimization. We p

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0cc9632b78d3b3201f957d3d345d1569
https://doi.org/10.1016/j.ins.2014.09.025

Parkinson’s Disease Identification Using Restricted Boltzmann Machines

Autor: Silke Anna Theresa Weber, Christian Hook, João Paulo Papa, Clayton R. Pereira, Ricardo R. Lopes, Leandro A. Passos

Publikováno v: Computer Analysis of Images and Patterns ISBN: 9783319646978
CAIP (2)

Currently, Parkinson’s Disease (PD) has no cure or accurate diagnosis, reaching approximately 60, 000 new cases yearly and worldwide, being more often in the elderly population. Its main symptoms can not be easily uncorrelated with other illness, b

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7c81d3e9ebed7870179fabffd68d23c6
https://doi.org/10.1007/978-3-319-64698-5_7