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Ricardo de A. Araújo
Person information
Other persons with a similar name
- Anderson Ricardo Justo De Araújo
- Danilo Araújo (aka: Danilo Ricardo Barbosa de Araújo)
- Ricardo José de Araújo
- Ricardo Matsumura de Araújo (aka: Ricardo M. Araujo) — Federal University of Pelotas
- Ricardo Wagner De Araújo
- Paulo Ricardo Marques de Araujo
- Ricardo Rodrigues de Araujo
- Ricardo Queiroz de Araujo Fernandes — Brazilian Army, Software Development Center, Braslia, Brazil (and 1 more)
- Ricardo de Araújo Kalid
- Ricardo Lúcio de Araujo Ribeiro (aka: Ricardo L. A. Ribeiro) — Federal University of Rio Grande do Norte, Natal, Brazil
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2020 – today
- 2024
- [j22]Ricardo de A. Araújo, Paulo S. G. de Mattos Neto, Nadia Nedjah, Sérgio C. B. Soares:
On the Sea Surface Temperature Forecasting Problem with Deep Dilation-Erosion-Linear Models. Big Data Res. 36: 100455 (2024) - 2023
- [j21]Ricardo de A. Araújo, Paulo S. G. de Mattos Neto, Nadia Nedjah, Sérgio Castelo Branco Soares:
An error correction system for sea surface temperature prediction. Neural Comput. Appl. 35(16): 11681-11699 (2023)
2010 – 2019
- 2019
- [j20]Ricardo de A. Araújo, Nadia Nedjah, Adriano L. I. Oliveira, Silvio Romero de Lemos Meira:
A deep increasing-decreasing-linear neural network for financial time series prediction. Neurocomputing 347: 59-81 (2019) - 2018
- [j19]Ricardo de A. Araújo, Nadia Nedjah, José Manoel de Seixas, Adriano L. I. Oliveira, Silvio Romero de Lemos Meira:
Evolutionary-morphological learning machines for high-frequency financial time series prediction. Swarm Evol. Comput. 42: 1-15 (2018) - 2017
- [j18]Ricardo de A. Araújo, Adriano L. I. Oliveira, Silvio Romero de Lemos Meira:
A morphological neural network for binary classification problems. Eng. Appl. Artif. Intell. 65: 12-28 (2017) - [j17]Ricardo de A. Araújo, Adriano L. I. Oliveira, Silvio Romero de Lemos Meira:
A class of hybrid multilayer perceptrons for software development effort estimation problems. Expert Syst. Appl. 90: 1-12 (2017) - [j16]Ricardo de A. Araújo, Adriano Lorena Inácio de Oliveira, Silvio Romero de Lemos Meira:
On the problem of forecasting air pollutant concentration with morphological models. Neurocomputing 265: 91-104 (2017) - [c28]Jose Thiago H. de A. Cabral, Ricardo de A. Araújo, Jarley Palmeira Nóbrega, Adriano L. I. Oliveira:
Heterogeneous Ensemble Dynamic Selection for Software Development Effort Estimation. ICTAI 2017: 210-217 - 2015
- [j15]Ricardo de A. Araújo, Adriano L. I. de Oliveira, Silvio Romero de Lemos Meira:
A hybrid model for high-frequency stock market forecasting. Expert Syst. Appl. 42(8): 4081-4096 (2015) - [c27]Ricardo de A. Araújo, Adriano L. I. Oliveira, Silvio Romero de Lemos Meira:
A Model with Evolutionary Covariance-based Learning for High-Frequency Financial Forecasting. GECCO 2015: 1175-1182 - [c26]Ricardo de A. Araújo, Adriano L. I. de Oliveira, Silvio Romero de Lemos Meira:
A prediction model for high-frequency financial time series. IJCNN 2015: 1-8 - 2013
- [j14]Ricardo de A. Araújo, Tiago A. E. Ferreira:
A Morphological-Rank-Linear evolutionary method for stock market prediction. Inf. Sci. 237: 3-17 (2013) - [j13]Ricardo de A. Araújo:
Evolutionary Learning Processes to Design the Dilation-Erosion Perceptron for Weather Forecasting. Neural Process. Lett. 37(3): 303-333 (2013) - [c25]Ricardo de A. Araújo, Adriano L. I. Oliveira, Silvio R. L. Meira:
A learning process based on covariance matrix adaptation for morphological-linear perceptrons. IEEE Congress on Evolutionary Computation 2013: 2275-2282 - 2012
- [j12]Ricardo de A. Araújo, Sérgio Soares, Adriano L. I. Oliveira:
Hybrid morphological methodology for software development cost estimation. Expert Syst. Appl. 39(6): 6129-6139 (2012) - [j11]Ricardo de A. Araújo:
A robust automatic phase-adjustment method for financial forecasting. Knowl. Based Syst. 27: 245-261 (2012) - [j10]Ricardo de A. Araújo:
A morphological perceptron with gradient-based learning for Brazilian stock market forecasting. Neural Networks 28: 61-81 (2012) - [j9]Ricardo de A. Araújo, Adriano L. I. Oliveira, Sérgio Soares, Silvio R. L. Meira:
An evolutionary morphological approach for software development cost estimation. Neural Networks 32: 285-291 (2012) - [c24]Ricardo de A. Araújo, Adriano L. I. Oliveira, Silvio R. L. Meira:
A Hybrid Model for S&P500 Index Forecasting. ICANN (2) 2012: 573-581 - [c23]Ricardo de A. Araújo, Adriano L. I. Oliveira, Silvio R. L. Meira:
A Dilation-Erosion-Linear Perceptron for Bovespa Index Prediction. IDEAL 2012: 407-415 - 2011
- [j8]Ricardo de A. Araújo:
Translation Invariant Morphological Time-lag Added Evolutionary Forecasting method for stock market prediction. Expert Syst. Appl. 38(3): 2835-2848 (2011) - [j7]Ricardo de A. Araújo, Adriano Lorena Inácio de Oliveira, Sérgio C. B. Soares:
A shift-invariant morphological system for software development cost estimation. Expert Syst. Appl. 38(4): 4162-4168 (2011) - [j6]Ricardo de A. Araújo:
A class of hybrid morphological perceptrons with application in time series forecasting. Knowl. Based Syst. 24(4): 513-529 (2011) - [c22]Ricardo de A. Araújo, Adriano L. I. Oliveira, Sérgio C. B. Soares, Silvio R. L. Meira:
Gradient-based morphological approach for software development cost estimation. IJCNN 2011: 588-594 - [c21]Ricardo de A. Araújo, Adriano L. I. Oliveira, Sérgio C. B. Soares, Silvio R. L. Meira:
Designing dilation-erosion perceptrons with differential evolutionary learning for air pressure forecasting. IJCNN 2011: 595-602 - [c20]Ricardo de A. Araújo, Adriano L. I. Oliveira, Sérgio Soares, Silvio R. L. Meira:
Dilation-erosion perceptrons with evolutionary learning for weather forecasting. SMC 2011: 3070-3077 - 2010
- [j5]Ricardo de A. Araújo:
A quantum-inspired evolutionary hybrid intelligent approach for stock market prediction. Int. J. Intell. Comput. Cybern. 3(1): 24-54 (2010) - [j4]Ricardo de A. Araújo:
Swarm-based translation-invariant morphological prediction method for financial time series forecasting. Inf. Sci. 180(24): 4784-4805 (2010) - [j3]Ricardo de A. Araújo:
Hybrid intelligent methodology to design translation invariant morphological operators for Brazilian stock market prediction. Neural Networks 23(10): 1238-1251 (2010) - [j2]Ricardo de A. Araújo:
A Hybrid Intelligent Morphological Approach for Stock Market Forecasting. Neural Process. Lett. 31(3): 195-217 (2010) - [c19]Ricardo de A. Araújo, Adriano L. I. de Oliveira, Sérgio C. B. Soares:
A covariance matrix adaptation based evolutionary methodology for phase adjustment in financial time series forecasting. GECCO 2010: 1315-1316 - [c18]Ricardo de A. Araújo, Peter Sussner:
An Increasing Hybrid Morphological-Linear Perceptron with Evolutionary Learning and Phase Correction for Financial Time Series Forecasting. HAIS (2) 2010: 351-358 - [c17]Ricardo de A. Araújo, Adriano L. I. de Oliveira, Sérgio Soares:
Hybrid Intelligent Design of Morphological-Rank-Linear Perceptrons for Software Development Cost Estimation. ICTAI (1) 2010: 160-167 - [c16]Ricardo de A. Araújo, Adriano L. I. de Oliveira, Sérgio C. B. Soares:
A quantum-inspired hybrid methodology for financial time series prediction. IJCNN 2010: 1-8 - [c15]Ricardo de A. Araújo, Peter Sussner:
An increasing hybrid morphological-linear perceptron with pseudo-gradient-based learning and phase adjustment for financial time series prediction. IJCNN 2010: 1-8 - [c14]Ricardo de A. Araújo, Adriano L. I. de Oliveira, Sérgio C. B. Soares:
Hybrid evolutionary quantum inspired method to adjust time phase distortions in financial time series. SAC 2010: 1153-1154 - [c13]Ricardo de A. Araújo, Adriano L. I. de Oliveira, Sérgio Soares:
Overcoming the random walk dilemma using a Covariance Matrix Adaptation Evolutionary method. SMC 2010: 2434-2441
2000 – 2009
- 2009
- [j1]Ricardo de A. Araújo, Tiago A. E. Ferreira:
An intelligent hybrid morphological-rank-linear method for financial time series prediction. Neurocomputing 72(10-12): 2507-2524 (2009) - [c12]Ricardo de A. Araújo, Adriano L. I. de Oliveira, Sérgio C. B. Soares:
A Morphological-Rank-Linear Approach for Software Development Cost Estimation. ICTAI 2009: 630-636 - [c11]Júlio César Taveira, Cristiane Queiroz, Rômulo Lima, Juliana Saraiva, Sérgio Soares, Hítalo Oliveira da Silva, Nathalia Temudo, Ricardo de A. Araújo, Jefferson Silva de Amorim, Fernando Castor, Emanoel Francisco Spósito Barreiros:
Assessing Intra-application Exception Handling Reuse with Aspects. SBES 2009: 22-31 - 2008
- [c10]Ricardo de A. Araújo, Aranildo Rodrigues Lima Junior, Tiago Alessandro Espínola Ferreira:
Morphological-Rank-Linear Time-lag Added Evolutionary Forecasting method for financial time series forecasting. IEEE Congress on Evolutionary Computation 2008: 1340-1347 - [c9]Ricardo de A. Araújo, Aranildo Rodrigues Lima Junior, Tiago Alessandro Espínola Ferreira:
A Quantum-Inspired Intelligent Hybrid method for stock market forecasting. IEEE Congress on Evolutionary Computation 2008: 1348-1355 - [c8]Aranildo Rodrigues Lima Junior, Tiago Alessandro Espínola Ferreira, Ricardo de A. Araújo:
An experimental study with a Hybrid method for tuning neural network for time series prediction. IEEE Congress on Evolutionary Computation 2008: 3435-3442 - 2007
- [c7]Ricardo de A. Araújo, Germano C. Vasconcelos, Tiago A. E. Ferreira:
An evolutionary Morphological-Rank-Linear approach for time series prediction. IEEE Congress on Evolutionary Computation 2007: 4321-4328 - [c6]Ricardo de A. Araújo, Germano C. Vasconcelos, Tiago A. E. Ferreira:
Hybrid differential evolutionary system for financial time series forecasting. IEEE Congress on Evolutionary Computation 2007: 4329-4336 - [c5]Ricardo de A. Araújo, Robson P. de Sousa, Tiago A. E. Ferreira:
An Intelligent Hybrid Approach for Designing Increasing Translation Invariant Morphological Operators for Time Series Forecasting. ISNN (2) 2007: 602-611 - 2006
- [c4]Ricardo de A. Araújo, Francisco Madeiro, Robson Pequeno de Sousa, Lúcio Flavio Cavalcanti Pessoa, Tiago Alessandro Espínola Ferreira:
An Evolutionary Morphological Approach for Financial Time Series Forecasting. IEEE Congress on Evolutionary Computation 2006: 2467-2474 - [c3]Ricardo de A. Araújo, Francisco Madeiro, Robson P. de Sousa, Lúcio F. C. Pessoa:
Modular Morphological Neural Network Training via Adaptive Genetic Algorithm for Designing Translation Invariant Operators. ICASSP (2) 2006: 873-876 - [c2]Ricardo de A. Araújo, Francisco Madeiro, Tiago A. E. Ferreira, Robson P. de Sousa, Lúcio F. C. Pessoa:
Improved Evolutionary Hybrid Method for Designing Morphological Operators. ICIP 2006: 2417-2420 - [c1]Ricardo de A. Araújo, Robson P. de Sousa, Tiago A. E. Ferreira:
Designing Translation Invariant Operators for Financial Time Series Forecasting. SBRN 2006: 30-35
Coauthor Index
aka: Tiago A. E. Ferreira
aka: Silvio R. L. Meira
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last updated on 2024-07-31 21:37 CEST by the dblp team
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