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ORCIDClarimar José Coelho
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2020 – today
- 2024
[c16]Arthur Ricardo De Sousa Vitória, Adriel Lenner Vinhal Mori, Clarimar José Coelho, Arlindo Rodrigues Galvão Filho:
Multi-Strain Dynamics: Modeling Dengue Transmission in Brazilian Regions with SIR Models. CBMS 2024: 461-466- 2023
- [c15]Douglas Vieira Do Nascimento
, Rafael Teixeira Sousa, Diogo Fernandes Costa Silva, Daniel do Prado Pagotto, Clarimar José Coelho, Arlindo Rodrigues Galvão Filho:
Live Birth Forecasting in Brazillian Health Regions with Tree-based Machine Learning Models. CBMS 2023: 85-90 - [c14]Arthur Ricardo De Sousa Vitória, Adriel Lenner Vinhal Mori, Diogo Fernandes Costa Silva, Daniel do Prado Pagotto, Clarimar José Coelho, Arlindo Rodrigues Galvão Filho:
Live Births Forecasting Across Health Regions of Goiás Using Artificial Neural Networks: A Clustering Approach. ICHI 2023: 321-329 - [c13]Arlindo Rodrigues Galvão Filho, Isabela Jubé Wastowski, Marise A. R. Moreira, Maria A. de P. C. Cysneiros, Clarimar José Coelho:
Pancreatic Cancer Detection Using Hyperspectral Imaging and Machine Learning. ICIP 2023: 2870-2874 - [c12]Arlindo Rodrigues Galvão Filho, Laryssa Rosset Provensi, Lucimar Pinheiro Rosseto, Clarimar José Coelho:
Quality Control Based on Species Classification of Herbal Medicines Using Hyperspectral Imaging and Machine Learning. WHISPERS 2023: 1-5 - 2022
- [p1]Arlindo Rodrigues Galvão Filho, Filipe de S. L. Ribeiro, Rafael Viana de Carvalho, Clarimar José Coelho:
Turbine Hill Chart Generation Using Artificial Neural Network. Advances in Intelligent Systems Research and Innovation 2022: 369-383 - 2020
- [c11]Daniel Vitor de Lucena, Anderson da Silva Soares, Clarimar José Coelho, Isabela Jubé Wastowski, Arlindo Rodrigues Galvão Filho:
Detection of Tumoral Epithelial Lesions Using Hyperspectral Imaging and Deep Learning. ICCS (3) 2020: 599-612 - [c10]Arlindo Rodrigues Galvão Filho, Filipe de S. L. Ribeiro, Rafael Viana de Carvalho, Clarimar José Coelho:
Generation of Two Turbine Hill Chart Using Artificial Neural Networks. IEEE Conf. on Intelligent Systems 2020: 457-462
2010 – 2019
- 2019
- [j10]Lauro C. M. de Paula, Anderson da Silva Soares, Telma Woerle de Lima Soares, Celso Gonçalves Camilo-Junior, Clarimar José Coelho, Anselmo E. de Oliveira:
Epistasis-based FSA: Two versions of a novel approach for variable selection in multivariate calibration. Eng. Appl. Artif. Intell. 81: 213-222 (2019) - 2017
- [j9]Lauro Cássio Martins de Paula, Anderson da Silva Soares, Telma W. L. Soares, Arlindo R. G. Filho, Clarimar José Coelho, Alexandre C. B. Delbem, Wellington Santos Martins:
Parallel regressions for variable selection using GPU. Computing 99(3): 219-234 (2017) - [j8]Lauro Cássio Martins de Paula, Anderson da Silva Soares, Telma Woerle de Lima Soares, Anselmo E. de Oliveira, Clarimar José Coelho:
Modern Metaheuristic with Multi-Objective Formulation for the Variable Selection Problem. J. Comput. Sci. 13(11): 659-666 (2017) - [c9]Arlindo Rodrigues Galvão Filho, Telma Woerle de Lima, Anderson da Silva Soares, Clarimar José Coelho:
A Stochastic Approach of SIRC Model Using Individual-Based Epidemiological Models. EPIA 2017: 778-788 - [c8]Lauro C. M. de Paula, Anderson da Silva Soares, Telma W. L. Soares, Clarimar José Coelho:
Variable selection as a non-completely decomposable problem: a case study in multivariate calibration. GECCO (Companion) 2017: 1399-1402 - 2016
- [j7]Bruno Urbano Rodrigues, Anderson da Silva Soares, Ronaldo Martins da Costa, Jeffrey Van Baalen, Rogério Lopes Salvini, F. A. Silva, Márcio Caliari, Karla Cristina Rodrigues Cardoso, Tânia Isabel Monteiro Ribeiro, Alexandre C. B. Delbem, Fernando Marques Federson, Clarimar José Coelho, Gustavo Teodoro Laureano, Telma Woerle de Lima:
A feasibility cachaca type recognition using computer vision and pattern recognition. Comput. Electron. Agric. 123: 410-414 (2016) - [c7]Lauro C. M. de Paula, Heber V. Nogueira, Anderson da Silva Soares, Telma Woerle de Lima, Clarimar José Coelho:
A compact firefly algorithm for the variable selection problem in pharmaceutical ingredient determination. CEC 2016: 3832-3838 - [c6]Lauro C. M. de Paula, Anderson da Silva Soares, Telma Woerle de Lima, Arlindo R. G. Filho, Clarimar José Coelho:
Variable Selection for Multivariate Calibration in Chemometrics: A Real-World Application with Building Blocks Disruption Problem. GECCO (Companion) 2016: 1031-1034 - [c5]Lauro C. M. de Paula, Anderson da Silva Soares, Telma Woerle de Lima, Clarimar José Coelho:
Feature Selection using Genetic Algorithm: An Analysis of the Bias-Property for One-Point Crossover. GECCO (Companion) 2016: 1461-1462 - 2015
- [j6]Kelton de Souza Santiago, Anderson da Silva Soares, Telma Woerle de Lima, Clarimar José Coelho, Paulo Henrique Ribeiro Gabriel:
Genetic Algorithm for Variable and Samples Selection in Multivariate Calibration Problems. J. Comput. Sci. 11(4): 621-626 (2015) - [c4]Lucas de Almeida Ribeiro, Anderson da Silva Soares, Telma Woerle de Lima, Carlos Antônio Campos Jorge, Ronaldo Martins da Costa, Rogério Lopes Salvini, Clarimar José Coelho, Fernando Marques Federson, Paulo Henrique Ribeiro Gabriel:
Multi-objective Genetic Algorithm for Variable Selection in Multivariate Classification Problems: A Case Study in Verification of Biodiesel Adulteration. ICCS 2015: 346-355 - 2014
- [j5]Lauro C. M. de Paula, Anderson da Silva Soares, Telma W. L. Soares, Alexandre C. B. Delbem, Clarimar José Coelho, Arlindo Rodrigues Galvão Filho:
Parallelization of a Modified Firefly Algorithm using GPU for Variable Selection in a Multivariate Calibration Problem. Int. J. Nat. Comput. Res. 4(1): 31-42 (2014) - 2013
- [c3]Daniel Vitor de Lucena, Telma Woerle de Lima, Anderson da Silva Soares, Alexandre C. B. Delbem, Arlindo Rodrigues Galvão Filho, Clarimar José Coelho, Gustavo Teodoro Laureano:
Multi-objective evolutionary algorithm for variable selection in calibration problems: A case study for protein concentration prediction. IEEE Congress on Evolutionary Computation 2013: 1053-1059 - [c2]Telma Woerle de Lima, Anderson da Silva Soares, Clarimar José Coelho, Rogério Lopes Salvini, Gustavo Teodoro Laureano:
Hybrid Genetic-Fuzzy Algorithm for Variable Selection in Spectroscopy. ICAISC (2) 2013: 24-35 - 2012
- [j4]Daniel Vitor de Lucena, Telma Woerle de Lima, Anderson da Silva Soares, Clarimar José Coelho:
Multi-Objective Evolutionary Algorithm NSGA-II for Variables Selection in Multivariate Calibration Problems. Int. J. Nat. Comput. Res. 3(4): 43-58 (2012)
2000 – 2009
- 2008
- [j3]Leandro Luís Galdino Oliveira, Simonne Almeida e Silva, Luiza Helena Vilela Ribeiro, Renato Maurício de Oliveira, Clarimar José Coelho, Ana Lúcia S. S. Andrade:
Computer-aided diagnosis in chest radiography for detection of childhood pneumonia. Int. J. Medical Informatics 77(8): 555-564 (2008) - 2007
- [c1]Anderson da Silva Soares, Maria Stela Veludo de Paiva, Clarimar José Coelho:
Technical and Fundamental Analysis for the Forecast of Financial Scrip Quotation: An Approach Employing Artificial Neural Networks and Wavelet Transform. ISNN (3) 2007: 1024-1032 - 2006
- [j2]Tom Froese, Sillas Hadjiloucas, Roberto Kawakami Harrop Galvão, Victor M. Becerra, Clarimar José Coelho:
Comparison of extrasystolic ECG signal classifiers using discrete wavelet transforms. Pattern Recognit. Lett. 27(5): 393-407 (2006) - 2003
- [j1]Clarimar José Coelho, Roberto Kawakami Harrop Galvão, Mário César Ugulino de Araújo, Maria Fernanda Pimentel, Edvan Cirino da Silva:
A Linear Semi-infinite Programming Strategy for Constructing Optimal Wavelet Transforms in Multivariate Calibration Problems. J. Chem. Inf. Comput. Sci. 43(3): 928-933 (2003)
Coauthor Index
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