2 citations · 2 across the 3 of their papers we have counts for
3 papers
RADAM: Texture Recognition through Randomized Aggregated Encoding of Deep Activation Maps
Leonardo Scabini, Kallil M. Zielinski, Lucas C. Ribas +3
Texture analysis is a classical yet challenging task in computer vision for which deep neural networks are actively being applied. Most approaches are based on building feature agg…
Improving Deep Neural Network Random Initialization Through Neuronal Rewiring
Leonardo Scabini, Bernard De Baets, Odemir M. Bruno
The deep learning literature is continuously updated with new architectures and training techniques. However, weight initialization is overlooked by most recent research, despite s…
A Complex Network Approach for Nanoparticle Agglomeration Analysis in Nanoscale Images
Bruno Brandoli, Leonardo Scabini, Jonathan Orue +5
Complex networks have been widely used in science and technology because of their ability to represent several systems. One of these systems is found in Biochemistry, in which the…