Danilo Colombo
Danilo Colombo
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A novel siamese-based approach for scene change detection with applications to obstructed routes in hazardous environments
MCS Santana, LA Passos, TP Moreira, D Colombo, VHC de Albuquerque, ...
IEEE Intelligent Systems 35 (1), 44-53, 2019
Applying CBM and PHM concepts with reliability approach for Blowout Preventer (BOP): a literature review
FB Martins, R Cardoso, I Tammela, D Colombo, BA de Matos
Brazilian Journal of Operations & Production Management 15 (1), 78-95, 2018
A critical literature survey and prospects on tampering and anomaly detection in image data
KAP da Costa, JP Papa, LA Passos, D Colombo, J Del Ser, K Muhammad, ...
Applied Soft Computing 97, 106727, 2020
Regression-based finite element machines for reliability modeling of downhole safety valves
D Colombo, GBA Lima, DR Pereira, JP Papa
Reliability Engineering & System Safety 198, 106894, 2020
A repairable system subjected to hierarchical competing risks: Modeling and applications
F Louzada, JA Cuminato, OMH Rodriguez, VLD Tomazella, PH Ferreira, ...
IEEE Access 7, 171707-171723, 2019
Evolving neural conditional random fields for drilling report classification
LCF Ribeiro, LCS Afonso, D Colombo, IR Guilherme, JP Papa
Journal of Petroleum Science and Engineering 187, 106846, 2020
Tracking and re-identification of people using soft-biometrics
HL Tavares, JBC Neto, JP Papa, D Colombo, AN Marana
2019 XV Workshop de Visão Computacional (WVC), 78-83, 2019
Pattern analysis in drilling reports using optimum-path forest
GJ Sousa, DCG Pedronette, A Baldassin, PIM Privatto, M Gaseta, ...
2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018
A new hybrid analytical/numerical method for transient heat conduction in composite hollow cylinders applied to plug and abandonment of oil wells
GS de Andrade, MJS de Lemos, D Colombo
International Journal of Thermal Sciences 168, 106981, 2021
Seleção da melhor configuração de poço de petróleo para o desenvolvimento de um campo utilizando o método AHP TOPSIS 2N
D Colombo, M dos Santos, CFS Gomes
An. do XIX Simpósio Pesqui. Operacional e Logística da Mar. Rio Janeiro, 2019
Evaluation of excessive wellhead motions: Framework of analysis and case studies (Part I)
MA Jaculli, JRP Mendes, D Colombo
Journal of Petroleum Science and Engineering 208, 109571, 2022
MaxDropout: deep neural network regularization based on maximum output values
CFG do Santos, D Colombo, M Roder, JP Papa
2020 25th International Conference on Pattern Recognition (ICPR), 2671-2676, 2021
Methodology for assessing wellhead integrity during its life cycle
MA Jaculli, JRP Mendes, K Miura, D Colombo
International Conference on Offshore Mechanics and Arctic Engineering 84430 …, 2020
Operational Safety Risk Assessment in Offshore Oil Wells
MA Jaculli, D Colombo, JRP Mendes, CFG Marculino, BGS Costa
International Conference on Offshore Mechanics and Arctic Engineering 58875 …, 2019
Does Removing Pooling Layers from Convolutional Neural Networks Improve Results?
CFG Santos, TP Moreira, D Colombo, JP Papa
SN Computer Science 1 (5), 1-10, 2020
Quantitative Analysis of Integrity Failures in Subsea Oil Wells Using a Markovian Model
D Colombo, DTMP de Abreu, MR Martins, GBA Lima, MM Neves, ...
SPE Production & Operations 35 (01), 098-110, 2020
Well integrity: preliminary risk analysis for different well life cycle phases
DTMP Abreu, CHB Morais, J Santos, D Colombo, MR Martins
International Conference on Offshore Mechanics and Arctic Engineering 58783 …, 2019
Proposição de um modelo Markoviano de apoio ao gerenciamento de riscos à integridade de poços submarinos
D Colombo
Niterói, 2018
A Review of Deep Learning-based Approaches for Deepfake Content Detection
LA Passos, D Jodas, KAP da Costa, LAS Júnior, D Colombo, JP Papa
arXiv preprint arXiv:2202.06095, 2022
Gait recognition based on deep learning: a survey
C Filipi Gonçalves dos Santos, DS Oliveira, L A. Passos, ...
ACM Computing Surveys (CSUR) 55 (2), 1-34, 2022
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