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Omar Andrés Carmona Cortes
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2020 – today
- 2023
- [j11]Elaine Pinto Portela, Omar Andrés Carmona Cortes, Josenildo Costa da Silva:
A rapid literature review on ensemble algorithms for COVID-19 classification using image-based exams. Int. J. Hybrid Intell. Syst. 19(3): 129-143 (2023) - 2022
- [j10]João Otávio Bandeira Diniz, Jonnison Lima Ferreira, Omar Andrés Carmona Cortes, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva:
An automatic approach for heart segmentation in CT scans through image processing techniques and Concat-U-Net. Expert Syst. Appl. 196: 116632 (2022) - [j9]Elilson Santos, Omar Andrés Carmona Cortes, Bruno Feres de Souza:
A flexible mobile application for image classification using deep learning: a case study on COVID-19 and X-ray images. Int. J. Comput. Appl. Technol. 69(2): 150-162 (2022) - [j8]Marcelo Luis Rodrigues Filho, Omar Andrés Carmona Cortes:
Efficient Breast Cancer Classification Using Histopathological Images and a Simple VGG. RITA 29(1): 102-114 (2022) - [c17]Elaine Pinto Portela, Omar Andrés Carmona Cortes, Josenildo Costa da Silva:
A Rapid Review on Ensemble Algorithms for COVID-19 Classification Using Image-Based Exams. ISDA (1) 2022: 96-106 - [c16]Ada Cristina França da Silva, Omar Andrés Carmona Cortes:
GANASUNet: An Efficient Convolutional Neural Architecture for Segmenting Iron Ore Images. ISDA (4) 2022: 281-291 - 2021
- [j7]João Pedro Augusto Costa, Omar Andrés Carmona Cortes:
A Convolutional Neural Network for Detecting Faults in Power Distribution Networks along a Railway: A Case Study Using YOLO. Appl. Artif. Intell. 35(15): 2067-2086 (2021) - [j6]Leticia de Fátima Corrêa Costa, Omar Andrés Carmona Cortes, João Pedro Augusto Costa:
An enhanced auto adaptive vector evaluated-based metaheuristic for solving real-world problems. Int. J. Hybrid Intell. Syst. 17(3-4): 101-112 (2021) - 2020
- [c15]Leticia de Fátima Corrêa Costa, Omar Andrés Carmona Cortes, João Pedro Augusto Costa:
An Enhanced Auto Adaptive Vector Evaluated-Based Metaheuristic for Solving the Environmental-Economic Dispatch Problem. HIS 2020: 330-339
2010 – 2019
- 2019
- [j5]Omar Andrés Carmona Cortes, Leticia de Fátima Corrêa Costa, João Pedro Augusto Costa:
Uma Nova Meta-heurística Adaptativa Baseada em Vetor de Avaliações para Otimização de Portfólios de Investimentos. Inteligencia Artif. 22(64): 85-101 (2019) - [c14]João Pedro Augusto Costa, Omar Andrés Carmona Cortes, Valério Breno Santos Nunes de Oliveira, Ada Cristina França da Silva:
Deep Neural Networks Applied to the Dynamic Helper System in a GPGPU. ICAISC (1) 2019: 29-38 - 2018
- [j4]Juliana Oliveira de Carvalho, Fernando A. M. Trinta, Dario Vieira, Omar Andrés Carmona Cortes:
Evolutionary solutions for resources management in multiple clouds: State-of-the-art and future directions. Future Gener. Comput. Syst. 88: 284-296 (2018) - [c13]Helder Pereira Borges, Omar Andrés Carmona Cortes, Dario Vieira:
An Adaptive Metaheuristic for Unconstrained Multimodal Numerical Optimization. BIOMA 2018: 26-37 - 2016
- [j3]Omar Andrés Carmona Cortes, Andrew Rau-Chaplin:
Enhanced multiobjective population-based incremental learning with applications in risk treaty optimization. Evol. Intell. 9(4): 153-165 (2016) - [j2]Ribamar Loura do Carmo, Omar Andrés Carmona Cortes, Fernando Jorge Cutrim Demétrio:
A Meta-Heuristic Based on Genetic Algorithm for Selecting Bailiffs by Districts. Res. Comput. Sci. 121: 83-93 (2016) - [c12]Egidio Carvalho, Omar Andrés Carmona Cortes, João Pedro Costa, Andrew Rau-Chaplin:
A stochastic adaptive genetic algorithm for solving unconstrained multimodal numerical problems. EAIS 2016: 130-137 - [c11]Omar Andrés Carmona Cortes, Andrew Rau-Chaplin:
Enhanced Multiobjective Population-Based Incremental Learning with Applications in Risk Treaty Optimization. EvoApplications (1) 2016: 3-18 - 2015
- [c10]Omar Andrés Carmona Cortes, Mônica Sakuray Pais, Filipo Novo Mor, Andrew Rau-Chaplin, César Augusto Missio Marcon:
Differential Evolution on a GPGPU: The Influence of Parameters on Speedup and the Quality of Solutions. IPDPS Workshops 2015: 299-306 - [c9]Haoxu Wang, Omar Andrés Carmona Cortes, Andrew Rau-Chaplin:
Dynamic optimization of multi-layered reinsurance treaties. SAC 2015: 125-132 - 2014
- [c8]Omar Andrés Carmona Cortes, Andrew Rau-Chaplin, Duane Wilson, Jürgen Gaiser-Porter:
On PBIL, DE and PSO for Optimization of Reinsurance Contracts. EvoApplications 2014: 227-238 - [c7]Leah Brown, Anirudha Ashok Beria, Omar Andrés Carmona Cortes, Andrew Rau-Chaplin, Duane Wilson, Neil Burke, Jürgen Gaiser-Porter:
Parallel MO-PBIL: Computing pareto optimal frontiers efficiently with applications in reinsurance analytics. HPCS 2014: 766-775 - [c6]Omar Andrés Carmona Cortes, Andrew Rau-Chaplin, Pedro Felipe do Prado:
On VEPSO and VEDE for solving a treaty optimization problem. SMC 2014: 2427-2432 - 2012
- [c5]Omar Andrés Carmona Cortes, Andrew Rau-Chaplin, Rafael Fernandes Lopes:
A PSO-based algorithm with local search for multimodal optimization without constraints. CLEI 2012: 1-7 - [c4]Josenildo Costa da Silva, Gustavo H. B. Oliveira, Omar Andrés Carmona Cortes, Matthias Klusch:
Density-Based Pattern Discovery in Distributed Time Series. SBIA 2012: 62-71 - [c3]Roberto L. de Moraes Rego Filho, Tayna Costa Goncalves, Omar Andrés Carmona Cortes:
A War-Based Parallel Genetic Algorithm with Variable Population-Size for Multimodal Optimization without Constraints. WSCAD-SSC 2012: 218-225 - 2010
- [c2]Omar Andrés Carmona Cortes, Josenildo Costa da Silva:
A Local Search Algorithm Based on Clonal Selection and Genetic Mutation for Global Optimization. SBRN 2010: 241-246
2000 – 2009
- 2007
- [c1]Rafael Fernandes Lopes, Omar Andrés Carmona Cortes:
An Ubiquitous Testing System for m-Learning Environments. ICSNC 2007: 32 - 2002
- [j1]Omar Andrés Carmona Cortes, Regina Helena Carlucci Santana, Marcos José Santana:
Determinação do Grau de Portabilidade de Benchmarks Paralelos Através de Lógica Nebulosa. RITA 9(3): 41-57 (2002)
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