40 citations · 69 across the 2 of their papers we have counts for
4 papers
Convolutional Neural Network Simplification with Progressive Retraining
D. Osaku, J. F. Gomes, A. X. Falcão
Kernel pruning methods have been proposed to speed up, simplify, and improve explanation of convolutional neural network (CNN) models. However, the effectiveness of a simplified mo…
Automated Diagnosis of Intestinal Parasites: A new hybrid approach and its benefits
D. Osaku, C. F. Cuba, Celso T. N. Suzuki +2
Intestinal parasites are responsible for several diseases in human beings. In order to eliminate the error-prone visual analysis of optical microscopy slides, we have investigated…
Semi-supervised deep learning based on label propagation in a 2D embedded space
Barbara Caroline Benato, Jancarlo Ferreira Gomes, Alexandru Cristian Telea +1
While convolutional neural networks need large labeled sets for training images, expert human supervision of such datasets can be very laborious. Proposed solutions propagate label…
Semi-Automatic Data Annotation guided by Feature Space Projection
Barbara Caroline Benato, Jancarlo Ferreira Gomes, Alexandru Cristian Telea +1
Data annotation using visual inspection (supervision) of each training sample can be laborious. Interactive solutions alleviate this by helping experts propagate labels from a few…