Search Results - "Osaku, D."

Convolutional neural network simplification with progressive retraining by Osaku, D., Gomes, J.F., Falcão, A.X.

“…•Objective and subjective criteria for kernel relevance.•A new approach to retrain CNN models after layer simplification.•An interactive approach for kernel…”
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Automated diagnosis of intestinal parasites: A new hybrid approach and its benefits by Osaku, D., Cuba, C.F., Suzuki, C.T.N., Gomes, J.F., Falcão, A.X.

“…Intestinal parasites are responsible for several diseases in human beings. In order to eliminate the error-prone visual analysis of optical microscopy slides,…”
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Improving land cover classification through contextual-based optimum-path forest by Osaku, D., Nakamura, R.Y.M., Pereira, L.A.M., Pisani, R.J., Levada, A.L.M., Cappabianco, F.A.M., Falcão, A.X., Papa, João P.

“…•A new contextual classifier based on optimum-path forest has been presented (OPF–MRF).•A meta-heuristic-based framework has been proposed to estimate the…”
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Convolutional Neural Network Simplification with Progressive Retraining by Osaku, D, Gomes, J. F, Falcão, A. X

“…Kernel pruning methods have been proposed to speed up, simplify, and improve explanation of convolutional neural network (CNN) models. However, the…”
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Automated Diagnosis of Intestinal Parasites: A new hybrid approach and its benefits by Osaku, D, Cuba, C. F, Suzuki, Celso T. N, Gomes, J. F, Falcão, A. X

“…Computers in Biology and Medicine, Volume 123, August 2020, 103917 Intestinal parasites are responsible for several diseases in human beings. In order to…”
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