Zobrazeno 1 - 10
of 55
pro vyhledávání: '"Ajalmar R. da Rocha Neto"'
Publikováno v:
Neurocomputing. 432:80-90
Fuzzy ARTMAP (FAM) is a neural network model based on the adaptive resonance theory (ART). Its main advantage relies on its capability to successfully deal with the stability-plasticity dilemma. Even though FAM models have been used in many applicati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::31572cf5a38874fb247315bafca5a7f9
https://doi.org/10.1016/j.neucom.2020.11.053
https://doi.org/10.1016/j.neucom.2020.11.053
Publikováno v:
Neurocomputing. 401:308-319
This paper introduces a new procedure to train Minimal Learning Machines (MLM) for regression tasks. Besides that, we propose a new prediction process in MLM. A well-known drawback concerning the (original) MLM model formulation is the lack of sparse
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2b664f2457c14c50be8038a7daa264bd
https://doi.org/10.1016/j.neucom.2020.03.088
https://doi.org/10.1016/j.neucom.2020.03.088
Autor:
Saulo A. F. Oliveira, Ajalmar R. da Rocha Neto, Pedro Pedrosa Rebouças Filho, Francisco Nivando Bezerra, Lucas Silva de Sousa
Publikováno v:
International Journal of E-Health and Medical Communications. 10:39-55
Retinal images are commonly used to diagnose various diseases, such as diabetic retinopathy, glaucoma, and hypertension. An important step in the analysis of such images is the detection of blood vessels, which is usually done manually and is time co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::49bcc041ec313e92e0706da85837eea9
https://doi.org/10.4018/ijehmc.2019070103
https://doi.org/10.4018/ijehmc.2019070103
Publikováno v:
Neurocomputing. 321:308-320
Least-Squares Support Vector Machines, a modified version of standard Support Vector Machines, reformulates the learning algorithm into the least-squares framework. It goes from solving a quadratic problem to a set of linear equations. A well-known p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3e9db6f6a733b3adf3f1dbaf4891835b
https://doi.org/10.1016/j.neucom.2018.08.081
https://doi.org/10.1016/j.neucom.2018.08.081
Publikováno v:
Anais do 15. Congresso Brasileiro de Inteligência Computacional.
A classificação de padrões é uma das principais tarefas da aprendizagem de máquina e neste artigo usamos classificadores de padrões no papel de equalizadores de canais de comunicação, com o potencial da aplicação da técnica de opção de r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8f8fb719543a9f1d74daa0a09bb00aab
https://doi.org/10.21528/cbic2021-165
https://doi.org/10.21528/cbic2021-165
Autor:
Antônio Ébano Rafael Machado De Oliveira, Andre Luis Carneiro Araujo, Francisco José Alves de Aquino, Kaio Jonathas Alencar Gurgel, Ajalmar R. da Rocha Neto, Elias Teodoro Da Silva Júnior, Danilo Silva
Publikováno v:
IEEE Latin America Transactions. 16:1587-1594
The occurrence of corona effect is an important indication that an insulator probably has malfunction. Thus, the corona detection can help to diagnose problems in insulators, which might cause serious damage to the power distribution system, such as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a785c815d15dabd0b5aea514d8600b28
https://doi.org/10.1109/tla.2018.8444153
https://doi.org/10.1109/tla.2018.8444153
Publikováno v:
Computer Vision and Image Understanding. 168:172-181
Image retargeting is a technique that adjusts input images into arbitrary dimensions (rows and columns) and simultaneously preserves regions of interest. Assess the image quality under varying aspect ratio is significantly more challenging since it r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e0e0d66b026f648657d8db9129a4f4f6
https://doi.org/10.1016/j.cviu.2017.11.011
https://doi.org/10.1016/j.cviu.2017.11.011
Publikováno v:
Expert Systems with Applications. 87:157-169
A theoretical advantage of support vector machines (SVM) is the empirical and structural risk minimization which balances the complexity of the model against its success at fitting the training data. Metaheuristics have mostly been used with support
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4520992b332386a5dce596e817beb693
https://doi.org/10.1016/j.eswa.2017.06.016
https://doi.org/10.1016/j.eswa.2017.06.016
Publikováno v:
Neural Processing Letters. 48:135-151
Extreme learning machines (ELMs) are an interesting alternative to multilayer perceptrons because ELMs, in practice, require the optimization only of the number of hidden neurons by grid-search with cross-validation. Nevertheless, a large number of h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7954d6f6888a3a971ca3c5b6d416aec7
https://doi.org/10.1007/s11063-017-9700-9
https://doi.org/10.1007/s11063-017-9700-9
Publikováno v:
Applied Soft Computing. 49:1085-1093
Graphical abstractDisplay Omitted HighlightsWe propose the use of classification with reject option for software defect prediction (SDP) as a way to incorporate additional knowledge in the SDP process.We propose two variants of the extreme learning m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::73eb88d3a93d791bce4ffaa8fe2f2a6a
https://doi.org/10.1016/j.asoc.2016.06.023
https://doi.org/10.1016/j.asoc.2016.06.023