12 citations · 15 across the 3 of their papers we have counts for
3 papers
WSAM: Visual Explanations from Style Augmentation as Adversarial Attacker and Their Influence in Image Classification
Felipe Moreno-Vera, Edgar Medina, Jorge Poco
Currently, style augmentation is capturing attention due to convolutional neural networks (CNN) being strongly biased toward recognizing textures rather than shapes. Most existing…
MoReVis: A Visual Summary for Spatiotemporal Moving Regions
Giovani Valdrighi, Nivan Ferreira, Jorge Poco
Spatial and temporal interactions are central and fundamental in many activities in our world. A common problem faced when visualizing this type of data is how to provide an overvi…
LargeNetVis: Visual Exploration of Large Temporal Networks Based on Community Taxonomies
Claudio D. G. Linhares, Jean R. Ponciano, Diogenes S. Pedro +3
Temporal (or time-evolving) networks are commonly used to model complex systems and the evolution of their components throughout time. Although these networks can be analyzed by di…