Search Results for author:
Found 3 papers, 0 papers with code
Mixup-based Deep Metric Learning Approaches for Incomplete Supervision
Deep learning architectures have achieved promising results in different areas (e. g., medicine, agriculture, and security).
Image Denoising using Attention-Residual Convolutional Neural Networks
Nowadays, learning-based denoising techniques showed to be much more effective and flexible approaches, such as Residual Convolutional Neural Networks.
A Probabilistic Optimum-Path Forest Classifier for Binary Classification Problems
Probabilistic-driven classification techniques extend the role of traditional approaches that output labels (usually integer numbers) only.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
