Ricardo de A. Araújo

Orcid: 0000-0003-2708-5350

According to our database1, Ricardo de A. Araújo authored at least 50 papers between 2006 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
On the Sea Surface Temperature Forecasting Problem with Deep Dilation-Erosion-Linear Models.
Big Data Res., 2024

2023
An error correction system for sea surface temperature prediction.
Neural Comput. Appl., June, 2023

2019
A deep increasing-decreasing-linear neural network for financial time series prediction.
Neurocomputing, 2019

2018
Evolutionary-morphological learning machines for high-frequency financial time series prediction.
Swarm Evol. Comput., 2018

2017
On the problem of forecasting air pollutant concentration with morphological models.
Neurocomputing, 2017

A class of hybrid multilayer perceptrons for software development effort estimation problems.
Expert Syst. Appl., 2017

A morphological neural network for binary classification problems.
Eng. Appl. Artif. Intell., 2017

Heterogeneous Ensemble Dynamic Selection for Software Development Effort Estimation.
Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017

2015
A hybrid model for high-frequency stock market forecasting.
Expert Syst. Appl., 2015

A prediction model for high-frequency financial time series.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

A Model with Evolutionary Covariance-based Learning for High-Frequency Financial Forecasting.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

2013
Evolutionary Learning Processes to Design the Dilation-Erosion Perceptron for Weather Forecasting.
Neural Process. Lett., 2013

A Morphological-Rank-Linear evolutionary method for stock market prediction.
Inf. Sci., 2013

A learning process based on covariance matrix adaptation for morphological-linear perceptrons.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2012
An evolutionary morphological approach for software development cost estimation.
Neural Networks, 2012

A morphological perceptron with gradient-based learning for Brazilian stock market forecasting.
Neural Networks, 2012

A robust automatic phase-adjustment method for financial forecasting.
Knowl. Based Syst., 2012

Hybrid morphological methodology for software development cost estimation.
Expert Syst. Appl., 2012

A Dilation-Erosion-Linear Perceptron for Bovespa Index Prediction.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2012, 2012

A Hybrid Model for S&P500 Index Forecasting.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

2011
A class of hybrid morphological perceptrons with application in time series forecasting.
Knowl. Based Syst., 2011

A shift-invariant morphological system for software development cost estimation.
Expert Syst. Appl., 2011

Translation Invariant Morphological Time-lag Added Evolutionary Forecasting method for stock market prediction.
Expert Syst. Appl., 2011

Dilation-erosion perceptrons with evolutionary learning for weather forecasting.
Proceedings of the IEEE International Conference on Systems, 2011

Designing dilation-erosion perceptrons with differential evolutionary learning for air pressure forecasting.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Gradient-based morphological approach for software development cost estimation.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

2010
A Hybrid Intelligent Morphological Approach for Stock Market Forecasting.
Neural Process. Lett., 2010

Hybrid intelligent methodology to design translation invariant morphological operators for Brazilian stock market prediction.
Neural Networks, 2010

Swarm-based translation-invariant morphological prediction method for financial time series forecasting.
Inf. Sci., 2010

A quantum-inspired evolutionary hybrid intelligent approach for stock market prediction.
Int. J. Intell. Comput. Cybern., 2010

Overcoming the random walk dilemma using a Covariance Matrix Adaptation Evolutionary method.
Proceedings of the IEEE International Conference on Systems, 2010

Hybrid evolutionary quantum inspired method to adjust time phase distortions in financial time series.
Proceedings of the 2010 ACM Symposium on Applied Computing (SAC), 2010

An increasing hybrid morphological-linear perceptron with pseudo-gradient-based learning and phase adjustment for financial time series prediction.
Proceedings of the International Joint Conference on Neural Networks, 2010

A quantum-inspired hybrid methodology for financial time series prediction.
Proceedings of the International Joint Conference on Neural Networks, 2010

Hybrid Intelligent Design of Morphological-Rank-Linear Perceptrons for Software Development Cost Estimation.
Proceedings of the 22nd IEEE International Conference on Tools with Artificial Intelligence, 2010

An Increasing Hybrid Morphological-Linear Perceptron with Evolutionary Learning and Phase Correction for Financial Time Series Forecasting.
Proceedings of the Hybrid Artificial Intelligence Systems, 5th International Conference, 2010

A covariance matrix adaptation based evolutionary methodology for phase adjustment in financial time series forecasting.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

2009
An intelligent hybrid morphological-rank-linear method for financial time series prediction.
Neurocomputing, 2009

Assessing Intra-application Exception Handling Reuse with Aspects.
Proceedings of the XXIII Brazilian Symposium on Software Engineering, 2009

A Morphological-Rank-Linear Approach for Software Development Cost Estimation.
Proceedings of the ICTAI 2009, 2009

2008
A Quantum-Inspired Intelligent Hybrid method for stock market forecasting.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

Morphological-Rank-Linear Time-lag Added Evolutionary Forecasting method for financial time series forecasting.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

An experimental study with a Hybrid method for tuning neural network for time series prediction.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2007
An Intelligent Hybrid Approach for Designing Increasing Translation Invariant Morphological Operators for Time Series Forecasting.
Proceedings of the Advances in Neural Networks, 2007

Hybrid differential evolutionary system for financial time series forecasting.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

An evolutionary Morphological-Rank-Linear approach for time series prediction.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2006
Designing Translation Invariant Operators for Financial Time Series Forecasting.
Proceedings of the SBRN 2006, 2006

Improved Evolutionary Hybrid Method for Designing Morphological Operators.
Proceedings of the International Conference on Image Processing, 2006

Modular Morphological Neural Network Training via Adaptive Genetic Algorithm for Designing Translation Invariant Operators.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

An Evolutionary Morphological Approach for Financial Time Series Forecasting.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006


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