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ORCIDGecynalda Soares da Silva Gomes
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2020 – today
- 2023
[j7]Edmilson dos Santos de Jesus
, Gecynalda Soares da Silva Gomes:
Machine learning models for forecasting water demand for the Metropolitan Region of Salvador, Bahia. Neural Comput. Appl. 35(27): 19669-19683 (2023)- 2022
- [j6]Lucas Rabelo de Araújo Morais, Gecynalda Soares da Silva Gomes:
Forecasting daily Covid-19 cases in the world with a hybrid ARIMA and neural network model. Appl. Soft Comput. 126: 109315 (2022)
2010 – 2019
- 2019
- [c9]Iuri Santos Souza, Ivan do Carmo Machado, Carolyn B. Seaman, Gecynalda Soares da Silva Gomes, Christina Chavez, Eduardo Santana de Almeida, Paulo César Masiero:
Investigating Variability-aware Smells in SPLs: An Exploratory Study. SBES 2019: 367-376 - 2018
- [j5]Michelle Larissa Luciano Carvalho, Matheus Lessa Goncalves Da Silva, Gecynalda Soares da Silva Gomes, Alcemir Rodrigues Santos, Ivan do Carmo Machado, Magno Lua de Jesus Souza, Eduardo Santana de Almeida:
On the implementation of dynamic software product lines: An exploratory study. J. Syst. Softw. 136: 74-100 (2018) - 2017
- [j4]Raphael Pereira de Oliveira, Alcemir Rodrigues Santos, Eduardo Santana de Almeida, Gecynalda Soares da Silva Gomes:
Evaluating Lehman's Laws of software evolution within software product lines industrial projects. J. Syst. Softw. 131: 347-365 (2017) - 2016
- [c8]Magno Lua de Jesus Souza, Alcemir Rodrigues Santos, Ivan do Carmo Machado, Eduardo Santana de Almeida, Gecynalda Soares da Silva Gomes:
Evaluating Variability Modeling Techniques for Dynamic Software Product Lines: A Controlled Experiment. SBCARS 2016: 1-10 - [c7]Michelle Larissa Luciano Carvalho, Gecynalda Soares da Silva Gomes, Matheus Lessa Goncalves Da Silva, Ivan do Carmo Machado, Eduardo Santana de Almeida:
On the Implementation of Dynamic Software Product Lines: A Preliminary Study. SBCARS 2016: 21-30 - 2015
- [c6]Raphael Pereira de Oliveira, Eduardo Santana de Almeida, Gecynalda Soares da Silva Gomes:
Evaluating Lehman's Laws of Software Evolution within Software Product Lines: A Preliminary Empirical Study. ICSR 2015: 42-57 - 2013
- [j3]Gecynalda Soares da Silva Gomes, Teresa Bernarda Ludermir:
Optimization of the weights and asymmetric activation function family of neural network for time series forecasting. Expert Syst. Appl. 40(16): 6438-6446 (2013) - [j2]Iuri Santos Souza, Gecynalda Soares da Silva Gomes, Paulo Anselmo da Mota Silveira Neto, Ivan do Carmo Machado, Eduardo Santana de Almeida, Silvio Romero de Lemos Meira:
Evidence of software inspection on feature specification for software product lines. J. Syst. Softw. 86(5): 1172-1190 (2013) - 2012
- [c5]Iuri Santos Souza, Raphael Pereira de Oliveira, Gecynalda Soares da Silva Gomes, Eduardo Santana de Almeida:
On the Relationship between Inspection and Evolution in Software Product Lines: An Exploratory Study. SBES 2012: 131-140 - 2011
- [j1]Gecynalda Soares da Silva Gomes, Teresa Bernarda Ludermir, Leyla M. M. R. Lima:
Comparison of new activation functions in neural network for forecasting financial time series. Neural Comput. Appl. 20(3): 417-439 (2011)
2000 – 2009
- 2009
- [c4]Gecynalda Soares da Silva Gomes, Teresa Bernarda Ludermir, Leandro M. Almeida:
Neural networks with asymmetric activation function for function approximation. IJCNN 2009: 980-987 - 2008
- [c3]Gecynalda Soares da Silva Gomes, Teresa Bernarda Ludermir:
Complementary Log-Log and Probit: Activation Functions Implemented in Artificial Neural Networks. HIS 2008: 939-942 - 2006
- [c2]Gecynalda Soares da Silva Gomes, Teresa Bernarda Ludermir:
Feature Selection for Neural Networks Through Binomial Regression. ICONIP (2) 2006: 737-745 - [c1]Gecynalda Soares da Silva Gomes, André Luis Santiago Maia, Teresa Bernarda Ludermir, Francisco de A. T. de Carvalho, Aluízio F. R. Araújo:
Hybrid model with dynamic architecture for forecasting time series. IJCNN 2006: 3742-3747
Coauthor Index
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