Marcos C. S. Santana

According to our database, Marcos C. S. Santana authored at least 9 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Layer-selective deep representation to improve esophageal cancer classification.

Luis Antônio de Souza, Leandro A. Passos, Marcos Cleison S. Santana, Robert Mendel, David Rauber, Alanna Ebigbo, Andreas Probst, Helmut Messmann, João Paulo Papa, Christoph Palm

Medical Biol. Eng. Comput., November, 2024

DeepCraftFuse: visual and deeply-learnable features work better together for esophageal cancer detection in patients with Barrett's esophagus.

Luis Antônio de Souza Júnior, André G. C. Pacheco, Leandro A. Passos, Marcos C. S. Santana, Robert Mendel, Alanna Ebigbo, Andreas Probst, Helmut Messmann, Christoph Palm, João Paulo Papa

Neural Comput. Appl., 2024

2023

Gait Recognition Based on Deep Learning: A Survey.

Claudio Filipi Gonçalves dos Santos, Diego de Souza Oliveira, Leandro A. Passos, Rafael Gonçalves Pires, Daniel Felipe Silva Santos, Lucas Pascotti Valem, Thierry Pinheiro Moreira, Marcos Cleison S. Santana, Mateus Roder, João Paulo Papa, Danilo Colombo

ACM Comput. Surv., 2023

2022

An End-to-End Approach for Seam Carving Detection Using Deep Neural Networks.

Thierry Pinheiro Moreira, Marcos Cleison S. Santana, Leandro A. Passos, João Paulo Papa, Kelton Augusto Pontara da Costa

Proceedings of the Pattern Recognition and Image Analysis - 10th Iberian Conference, 2022

2021

Computer-assisted Parkinson's disease diagnosis using fuzzy optimum- path forest and Restricted Boltzmann Machines.

Renato William R. de Souza, Daniel Santos da Silva, Leandro A. Passos, Mateus Roder, Marcos C. S. Santana, Plácido Rogério Pinheiro, Victor Hugo C. de Albuquerque

Comput. Biol. Medicine, 2021

2020

A Novel Siamese-Based Approach for Scene Change Detection With Applications to Obstructed Routes in Hazardous Environments.

Marcos C. S. Santana, Leandro Aparecido Passos Júnior, Thierry Pinheiro Moreira, Danilo Colombo, Victor Hugo C. de Albuquerque, João Paulo Papa

IEEE Intell. Syst., 2020

Manifold Learning-based Clustering Approach Applied to Anomaly Detection in Surveillance Videos.

Leonardo Tadeu Lopes, Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette, Ivan Rizzo Guilherme, João Paulo Papa, Marcos Cleison Silva Santana, Danilo Colombo

Proceedings of the 15th International Joint Conference on Computer Vision, 2020

Image Denoising using Attention-Residual Convolutional Neural Networks.

Rafael Goncalves Pires, Daniel F. S. Santos, Cláudio F. G. Santos, Marcos C. S. Santana, João P. Papa

Proceedings of the 33rd SIBGRAPI Conference on Graphics, Patterns and Images, 2020

2019

κ-Entropy Based Restricted Boltzmann Machines.

Leandro Aparecido Passos, Marcos Cleison Silva Santana, Thierry Pinheiro Moreira, João Paulo Papa

Proceedings of the International Joint Conference on Neural Networks, 2019