Determinação do Grau de Portabilidade de Benchmarks Paralelos Através de Lógica Nebulosa. - Omar Andrés Carmona Cortes; Regina Helena Carlucci Santana; Marcos José Santana (RITA, 2002)

An Ubiquitous Testing System for m-Learning Environments. - Rafael Fernandes Lopes; Omar Andrés Carmona Cortes (ICSNC, 2007)

A Local Search Algorithm Based on Clonal Selection and Genetic Mutation for Global Optimization. - Omar Andrés Carmona Cortes; Josenildo Costa da Silva (SBRN, 2010)

A PSO-based algorithm with local search for multimodal optimization without constraints. - Omar Andrés Carmona Cortes; Andrew Rau-Chaplin; Rafael Fernandes Lopes (CLEI, 2012)

Density-Based Pattern Discovery in Distributed Time Series. - Josenildo Costa da Silva; Gustavo H. B. Oliveira; Omar Andrés Carmona Cortes; Matthias Klusch (SBIA, 2012)

A War-Based Parallel Genetic Algorithm with Variable Population-Size for Multimodal Optimization without Constraints. - Roberto L. de Moraes Rego Filho; Tayna Costa Goncalves; Omar Andrés Carmona Cortes (WSCAD-SSC, 2012)

On PBIL, DE and PSO for Optimization of Reinsurance Contracts. - Omar Andrés Carmona Cortes; Andrew Rau-Chaplin; Duane Wilson; Jürgen Gaiser-Porter (EvoApplications, 2014)

Parallel MO-PBIL: Computing pareto optimal frontiers efficiently with applications in reinsurance analytics. - Leah Brown; Anirudha Ashok Beria; Omar Andrés Carmona Cortes; Andrew Rau-Chaplin; Duane Wilson; Neil Burke; Jürgen Gaiser-Porter (HPCS, 2014)

On VEPSO and VEDE for solving a treaty optimization problem. - Omar Andrés Carmona Cortes; Andrew Rau-Chaplin; Pedro Felipe do Prado (SMC, 2014)

Differential Evolution on a GPGPU: The Influence of Parameters on Speedup and the Quality of Solutions. - Omar Andrés Carmona Cortes; Mônica Sakuray Pais; Filipo Novo Mór; Andrew Rau-Chaplin; César Augusto Missio Marcon (IPDPS Workshops, 2015)

Dynamic optimization of multi-layered reinsurance treaties. - Haoxu Wang; Omar Andrés Carmona Cortes; Andrew Rau-Chaplin (SAC, 2015)

A stochastic adaptive genetic algorithm for solving unconstrained multimodal numerical problems. - Egidio Carvalho; Omar Andrés Carmona Cortes; João Pedro Costa; Andrew Rau-Chaplin (EAIS, 2016)

Enhanced multiobjective population-based incremental learning with applications in risk treaty optimization. - Omar Andrés Carmona Cortes; Andrew Rau-Chaplin (Evol. Intell., 2016)

A Meta-Heuristic Based on Genetic Algorithm for Selecting Bailiffs by Districts. - Ribamar Loura do Carmo; Omar Andrés Carmona Cortes; Fernando Jorge Cutrim Demétrio (Res. Comput. Sci., 2016)

An Adaptive Metaheuristic for Unconstrained Multimodal Numerical Optimization. - Helder Pereira Borges; Omar Andrés Carmona Cortes; Dario Vieira (BIOMA, 2018)

Evolutionary solutions for resources management in multiple clouds: State-of-the-art and future directions. - Juliana Oliveira de Carvalho 001; Fernando A. M. Trinta; Dario Vieira; Omar Andrés Carmona Cortes (Future Gener. Comput. Syst., 2018)

Deep Neural Networks Applied to the Dynamic Helper System in a GPGPU. - João Pedro Augusto Costa; Omar Andrés Carmona Cortes; Valério Breno Santos Nunes de Oliveira; Ada Cristina França da Silva (ICAISC (1), 2019)

Uma Nova Meta-heurística Adaptativa Baseada em Vetor de Avaliações para Otimização de Portfólios de Investimentos. - Omar Andrés Carmona Cortes; Leticia de Fátima Corrêa Costa; João Pedro Augusto Costa (Inteligencia Artif., 2019)

An Enhanced Auto Adaptive Vector Evaluated-Based Metaheuristic for Solving the Environmental-Economic Dispatch Problem. - Leticia de Fátima Corrêa Costa; Omar Andrés Carmona Cortes; João Pedro Augusto Costa (HIS, 2020)

A Convolutional Neural Network for Detecting Faults in Power Distribution Networks along a Railway: A Case Study Using YOLO. - João Pedro Augusto Costa; Omar Andrés Carmona Cortes (Appl. Artif. Intell., 2021)

An enhanced auto adaptive vector evaluated-based metaheuristic for solving real-world problems. - Leticia de Fátima Corrêa Costa; Omar Andrés Carmona Cortes; João Pedro Augusto Costa (Int. J. Hybrid Intell. Syst., 2021)

A Rapid Review on Ensemble Algorithms for COVID-19 Classification Using Image-Based Exams. - Elaine Pinto Portela; Omar Andrés Carmona Cortes; Josenildo Costa da Silva (ISDA (1), 2022)

GANASUNet: An Efficient Convolutional Neural Architecture for Segmenting Iron Ore Images. - Ada Cristina França da Silva; Omar Andrés Carmona Cortes (ISDA (4), 2022)

An automatic approach for heart segmentation in CT scans through image processing techniques and Concat-U-Net. - João Otávio Bandeira Diniz; Jonnison Lima Ferreira; Omar Andrés Carmona Cortes; Aristófanes Corrêa Silva; Anselmo Cardoso de Paiva (Expert Syst. Appl., 2022)

A flexible mobile application for image classification using deep learning: a case study on COVID-19 and X-ray images. - Elilson Santos; Omar Andrés Carmona Cortes; Bruno Feres de Souza (Int. J. Comput. Appl. Technol., 2022)

Efficient Breast Cancer Classification Using Histopathological Images and a Simple VGG. - Marcelo Luis Rodrigues Filho; Omar Andrés Carmona Cortes (RITA, 2022)

A rapid literature review on ensemble algorithms for COVID-19 classification using image-based exams. - Elaine Pinto Portela; Omar Andrés Carmona Cortes; Josenildo Costa da Silva (Int. J. Hybrid Intell. Syst., 2023)

The Impact of Double Transfer Learning in VGG Architectures for Metastasis Breast Cancer Detection. - Danyllo Carlos Silva e Silva; Omar Andrés Carmona Cortes; João Otávio Bandeira Diniz (BRACIS (3), 2024)

Novel heuristics for identifying failures on railroad switches: a case study on Vale's railway. - João Pedro Augusto Costa; Omar Andrés Carmona Cortes; Adriano Rodrigues; André Machado Souza; Tiago Ferreira Souza; Valerio Nunes (Int. J. Model. Identif. Control., 2024)