activity
20182021
most citedWatching Smartly from the Bottom: Intrusion Detection revamped through Programmable Networks and Artificial Intelligence

2 citations · 2 across the 1 of their papers we have counts for

collaborators

5 papers

cs.NI20212 cited

Watching Smartly from the Bottom: Intrusion Detection revamped through Programmable Networks and Artificial Intelligence

Sergio Armando Gutiérrez, John Willian Branch, Luciano Paschoal Gaspary +1

The advent of Programmable Data Planes represents an outstanding evolution and complete revolution of the Software- Defined Networking paradigm. The capacity to define the entire b…

cs.CV2020

Cosine-Pruned Medial Axis: A new method for isometric equivariant and noise-free medial axis extraction

Diego Patiño, John Branch

We present the CPMA, a new method for medial axis pruning with noise robustness and equivariance to isometric transformations. Our method leverages the discrete cosine transform to…

cs.CV2018

Motorcycle Classification in Urban Scenarios using Convolutional Neural Networks for Feature Extraction

Jorge E. Espinosa, Sergio A. Velastin, John W. Branch

This paper presents a motorcycle classification system for urban scenarios using Convolutional Neural Network (CNN). Significant results on image classification has been achieved u…

cs.CV2018

Automatic skin lesion segmentation on dermoscopic images by the means of superpixel merging

Diego Patiño, Jonathan Avendaño, John Willian Branch

We present a superpixel-based strategy for segmenting skin lesion on dermoscopic images. The segmentation is carried out by over-segmenting the original image using the SLIC algori…

cs.CV2018

Motorcycle detection and classification in urban Scenarios using a model based on Faster R-CNN

Jorge E. Espinosa, Sergio A. Velastin, John W. Branch

This paper introduces a Deep Learning Convolutional Neural Network model based on Faster-RCNN for motorcycle detection and classification on urban environments. The model is evalua…