Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Saulo A. F. Oliveira"'
Autor:
Levi C. Carvalho, Saulo A. F. Oliveira
Publikováno v:
Anais Estendidos do XXXV Conference on Graphics, Patterns and Images (SIBGRAPI Estendido 2022).
Evaluating retargeting image operators is a subjective task and, therefore, challenging to execute without human interference. Image Retargeting Quality Algorithms execute this task, giving some score to the retargeted image and, usually, trying to g
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cf048752609551e0c91553d279cd04ff
https://doi.org/10.5753/sibgrapi.est.2022.23263
https://doi.org/10.5753/sibgrapi.est.2022.23263
Publikováno v:
Anais Estendidos do XXXV Conference on Graphics, Patterns and Images (SIBGRAPI Estendido 2022).
Instance-based learners habitually adopt instance selection techniques to reduce complexity and avoid overfitting. Such learners’ most recent and well-known formulations seek to impose some sparsity in their training and prediction structure alongs
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b6ab94c9c2e0d0e84262277b60fe7bb6
https://doi.org/10.5753/sibgrapi.est.2022.23253
https://doi.org/10.5753/sibgrapi.est.2022.23253
Autor:
Lucas S Sousa, Pedro P Rebouças Filho, Francisco Nivando Bezerra, Ajalmar R Rocha Neto, Saulo A. F. Oliveira
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_________::1a3073aa0c579dcc64238a4fe842dd79
https://doi.org/10.4018/978-1-6684-6291-1.ch016
https://doi.org/10.4018/978-1-6684-6291-1.ch016
Autor:
Saulo A. F. Oliveira, Elizangela Souza Reboucas, Alan M. Braga, Pedro Pedrosa Rebouças Filho, Shara S. A. Alves
Publikováno v:
IEEE Latin America Transactions. 18:1329-1336
Lung diseases identification based on analysis and processing of medical images is important to assist medical doctors during the diagnosis process. In this context, this paper proposes a new feature extraction method based on human tissue density pa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6a3e00e10d85ecdda2b44d5e43e3214f
https://doi.org/10.1109/tla.2020.9381790
https://doi.org/10.1109/tla.2020.9381790
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
Autor:
Leonardo Ramos Rodrigues, Roberto Kawakami Harrop Galvão, João P. P. Gomes, Diego P. P. Mesquita, Saulo A. F. Oliveira
Publikováno v:
Applied Soft Computing. 70:1135-1145
Randomization based methods for training neural networks have gained increasing attention in recent years and achieved remarkable performances on a wide variety of tasks. The interest in such methods relies on the fact that standard gradient based le
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fb56457ade0af9896aa95d43a382346f
https://doi.org/10.1016/j.asoc.2017.08.007
https://doi.org/10.1016/j.asoc.2017.08.007
Autor:
Saulo A. F. Oliveira, Elizângela de S. Rebouças, Regis C. P. Marques, Pedro Pedrosa Rebouças Filho, Victor Hugo C. de Albuquerque, Alan M. Braga
Publikováno v:
Soft Computing. 23:9265-9286
Stroke is the second most common cause of death and one of the leading causes of disability in industrialized countries. Among the 17.5 million deaths caused by cardiovascular disease in 2012, approximately 6.7 million were caused by stroke. This stu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::22383c65655fa325b7c0f322c73662a0
https://doi.org/10.1007/s00500-018-3491-4
https://doi.org/10.1007/s00500-018-3491-4
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