8 citations · 8 across the 4 of their papers we have counts for
4 papers
An approach based on class activation maps for investigating the effects of data augmentation on neural networks for image classification
Lucas M. Dorneles, Luan Fonseca Garcia, Joel Luís Carbonera
Neural networks have become increasingly popular in the last few years as an effective tool for the task of image classification due to the impressive performance they have achieve…
Accelerating prototype selection with spatial abstraction
Joel Luís Carbonera
The increasing digitalization in industry and society leads to a growing abundance of data available to be processed and exploited. However, the high volume of data requires consid…
"A Nova Eletricidade: Aplicações, Riscos e Tendências da IA Moderna -- "The New Electricity": Applications, Risks, and Trends in Current AI
Ana L. C. Bazzan, Anderson R. Tavares, André G. Pereira +7
The thought-provoking analogy between AI and electricity, made by computer scientist and entrepreneur Andrew Ng, summarizes the deep transformation that recent advances in Artifici…
An evaluation of pre-trained models for feature extraction in image classification
Erick da Silva Puls, Matheus V. Todescato, Joel L. Carbonera
In recent years, we have witnessed a considerable increase in performance in image classification tasks. This performance improvement is mainly due to the adoption of deep learning…