Danilo Colombo

According to our database, Danilo Colombo authored at least 18 papers between 2018 and 2023.

Collaborative distances:

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

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

Understanding the main failure scenarios of subsea blowout preventers systems: An approach through Latent Semantic Analysis.

Gustavo Jorge Martins de Aguiar, Ramon Baptista Narcizo, Rodolfo Cardoso, Iara Tammela, Edwin Benito Mitacc Meza, Danilo Colombo, Luiz Antônio de Oliveira Chaves, Jamile Eleutério Delesposte

CoRR, 2023

2022

A Review of Deep Learning-based Approaches for Deepfake Content Detection.

Leandro A. Passos, Danilo S. Jodas, Kelton A. P. da Costa, Luis Antônio Souza Júnior, Danilo Colombo, João Paulo Papa

CoRR, 2022

2020

Does Removing Pooling Layers from Convolutional Neural Networks Improve Results?

Claudio Filipi Goncalves dos Santos, Thierry Pinheiro Moreira, Danilo Colombo, João Paulo Papa

SN Comput. Sci., 2020

Regression-based finite element machines for reliability modeling of downhole safety valves.

Danilo Colombo, Gilson Brito Alves Lima, Danillo Roberto Pereira, João P. Papa

Reliab. Eng. Syst. Saf., 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

A critical literature survey and prospects on tampering and anomaly detection in image data.

Kelton A. P. da Costa, João P. Papa, Leandro A. Passos, Danilo Colombo, Javier Del Ser, Khan Muhammad, Victor Hugo C. de Albuquerque

Appl. Soft Comput., 2020

Incorporation of Frailties Into a Non-Proportional Hazard Regression Model and Its Diagnostics for Reliability Modeling of Downhole Safety Valves.

Francisco Louzada, José Alberto Cuminato, Oscar Mauricio Hernandez Rodriguez, Vera L. D. Tomazella, Eder Angelo Milani, Paulo Henrique Ferreira, Pedro Luiz Ramos, Gustavo Bochio, Ivan Carlos Perissini, Oilson Alberto Gonzatto Junior, Alex Leal Mota, Luis Felipe Acuña Alegría, Danilo Colombo, Paulo Guilherme Oliveira De Oliveira, Hugo Francisco Lisboa Santos, Marcus Vinicius De Campos Magalhães

IEEE Access, 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

Scene Change Detection Using Multiscale Cascade Residual Convolutional Neural Networks.

Daniel F. S. Santos, Rafael Goncalves Pires, Danilo Colombo, João P. Papa

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

Information Ranking Using Optimum-Path Forest.

Nathalia Q. Ascenção, Luis C. S. Afonso, Danilo Colombo, Luciano Oliveira, João P. Papa

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

MaxDropout: Deep Neural Network Regularization Based on Maximum Output Values.

Claudio Filipi Goncalves dos Santos, Danilo Colombo, Mateus Roder, João Paulo Papa

Proceedings of the 25th International Conference on Pattern Recognition, 2020

People Identification Based on Soft Biometrics Features Obtained from 2D Poses.

Henrique Leal Tavares, João Baptista Cardia Neto, João Paulo Papa, Danilo Colombo, Aparecido Nilceu Marana

Proceedings of the Intelligent Systems - 9th Brazilian Conference, 2020

2019

A Repairable System Subjected to Hierarchical Competing Risks: Modeling and Applications.

Francisco Louzada, Luis Felipe Acuña Alegría, Danilo Colombo, David E. A. Martins, Hugo Francisco Lisboa Santos, José Alberto Cuminato, Oscar Mauricio Hernandez Rodriguez, Vera L. D. Tomazella, Paulo H. Ferreira, Pedro L. Ramos, Seyed R. A. Niaki, Oilson Alberto Gonzatto Junior, Ivan Carlos Perissini

IEEE Access, 2019

Video Segmentation Learning Using Cascade Residual Convolutional Neural Network.

Daniel F. S. Santos, Rafael Goncalves Pires, Danilo Colombo, João P. Papa

Proceedings of the 32nd SIBGRAPI Conference on Graphics, Patterns and Images, 2019

Multiple-Instance Learning through Optimum-Path Forest.

Luis Claudio Sugi Afonso, Danilo Colombo, Clayton R. Pereira, Kelton A. P. Costa, João P. Papa

Proceedings of the International Joint Conference on Neural Networks, 2019

Does Pooling Really Matter? An Evaluation on Gait Recognition.

Claudio Filipi Goncalves dos Santos, Thierry Pinheiro Moreira, Danilo Colombo, João Paulo Papa

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2019

2018

Pattern Analysis in Drilling Reports using Optimum-Path Forest.

Gustavo José de Sousa, Daniel Carlos Guimarães Pedronette, Alexandro Baldassin, Pedro Ivo Monteiro Privatto, M. Gaseta, Ivan Rizzo Guilherme, Danilo Colombo, Luis Claudio Sugi Afonso, João P. Papa

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018