Carlos Eduardo Pedreira

According to our database, Carlos Eduardo Pedreira authored at least 40 papers between 1984 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

TensorCRO: A TensorFlow-based implementation of a multi-method ensemble for optimization.

Alberto Palomo-Alonso, Vinícius G. Costa, Luis M. Moreno-Saavedra, Eugenio Lorente-Ramos, Jorge Pérez-Aracil, Carlos Eduardo Pedreira, Sancho Salcedo-Sanz

Expert Syst. J. Knowl. Eng., December, 2024

Evolving interpretable decision trees for reinforcement learning.

Vinícius G. Costa, Jorge Pérez-Aracil, Sancho Salcedo-Sanz, Carlos Eduardo Pedreira

Artif. Intell., February, 2024

Efficient evolution of decision trees via fully matrix-based fitness evaluation.

Vinícius G. Costa, Sancho Salcedo-Sanz, Carlos Eduardo Pedreira

Appl. Soft Comput., January, 2024

Optimizing therapeutic targets for breast cancer using boolean network models.

Domenico Sgariglia, Flavia Raquel Gonçalves Carneiro, Luís Alfredo Vidal de Carvalho, Carlos Eduardo Pedreira, Nicolas Carels, Fabrício Alves Barbosa da Silva

Comput. Biol. Chem., 2024

2023

Solving an energy resource management problem with a novel multi-objective evolutionary reinforcement learning method.

Gabriel Matos Cardoso Leite, Silvia Jiménez-Fernández, Sancho Salcedo-Sanz, Carolina Gil Marcelino, Carlos Eduardo Pedreira

Knowl. Based Syst., November, 2023

Recent advances in decision trees: an updated survey.

Vinícius G. Costa, Carlos Eduardo Pedreira

Artif. Intell. Rev., May, 2023

2022

Feature space partition: a local-global approach for classification.

Carolina Gil Marcelino, Carlos Eduardo Pedreira

Neural Comput. Appl., 2022

Missing Data Analysis in Regression.

Carolina Gil Marcelino, Gabriel M. C. Leite, P. Celes, Carlos Eduardo Pedreira

Appl. Artif. Intell., 2022

2021

Clustering Introductory Computer Science Exercises Using Topic Modeling Methods.

Laura Oliveira Moraes, Carlos Eduardo Pedreira

IEEE Trans. Learn. Technol., 2021

Data-Driven Modeling of Breast Cancer Tumors Using Boolean Networks.

Domenico Sgariglia, Alessandra Jordano Conforte, Carlos Eduardo Pedreira, Luís Alfredo Vidal de Carvalho, Flavia Raquel Gonçalves Carneiro, Nicolas Carels, Fabrício Alves Barbosa da Silva

Frontiers Big Data, 2021

Pattern Classification Applying Neighbourhood Component Analysis and Swarm Evolutionary Algorithms: A Coupled Methodology.

Gabriel M. C. Leite, Carolina Gil Marcelino, Elizabeth F. Wanner, Carlos Eduardo Pedreira, Silvia Jiménez-Fernández, Sancho Salcedo-Sanz

Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020

Designing an Intelligent Tutoring System Across Multiple Classes.

Laura Oliveira Moraes, Carlos Eduardo Pedreira

Proceedings of 4th Educational Data Mining in Computer Science Education (CSEDM) Workshop co-located with the 13th Educational Data Mining Conference (EDM 2020), 2020

2019

Time series classification via divergence measures between probability density functions.

Carlos E. Mello, André S. T. Carvalho, Adria Lyra, Carlos Eduardo Pedreira

Pattern Recognit. Lett., 2019

The Exact VC Dimension of the WiSARD n-Tuple Classifier.

Hugo C. C. Carneiro, Carlos Eduardo Pedreira, Felipe M. G. França, Priscila M. V. Lima

Neural Comput., 2019

A decision-tree approach for the differential diagnosis of chronic lymphoid leukemias and peripheral B-cell lymphomas.

Laura Oliveira Moraes, Carlos Eduardo Pedreira, Susana Barrena, Antonio López, Alberto Orfao

Comput. Methods Programs Biomed., 2019

CE+EPSO: a merged approach to solve SCOPF problem.

Carolina Gil Marcelino, Carlos Eduardo Pedreira, Elizabeth F. Wanner, Leonel M. Carvalho, Vladimiro Miranda, Armando L. da Silva

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

A Viability Study of Renewables and Energy Storage Systems Using Multicriteria Decision Making and an Evolutionary Approach.

Carolina Gil Marcelino, Carlos Eduardo Pedreira, Manuel Baumann, Marcel Weil, Paulo E. M. de Almeida, Elizabeth F. Wanner

Proceedings of the Evolutionary Multi-Criterion Optimization, 2019

2018

Applying C-DEEPSO to Solve Large Scale Global Optimization Problems.

Carolina Gil Marcelino, Paulo E. M. de Almeida, Carlos Eduardo Pedreira, Leonel M. Carvalho, Elizabeth F. Wanner

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017

A universal multilingual weightless neural network tagger via quantitative linguistics.

Hugo C. C. Carneiro, Carlos Eduardo Pedreira, Felipe M. G. França, Priscila M. V. Lima

Neural Networks, 2017

2016

Financial credit analysis via a clustering weightless neural classifier.

Douglas de O. Cardoso, Danilo S. Carvalho, Daniel S. F. Alves, Diego Fonseca Pereira de Souza, Hugo C. C. Carneiro, Carlos Eduardo Pedreira, Priscila M. V. Lima, Felipe M. G. França

Neurocomputing, 2016

2014

Credit analysis with a clustering RAM-based neural classifier.

Douglas de O. Cardoso, Danilo S. Carvalho, Daniel S. F. Alves, Diego Fonseca Pereira de Souza, Hugo C. C. Carneiro, Carlos Eduardo Pedreira, Priscila M. V. Lima, Felipe M. G. França

Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

2013

Optimized bi-dimensional data projection for clustering visualization.

Rodrigo T. Peres, Claus Aranha, Carlos Eduardo Pedreira

Inf. Sci., 2013

2010

A new local-global approach for classification.

Rodrigo T. Peres, Carlos Eduardo Pedreira

Neural Networks, 2010

A non-linear morphometric feature selection approach for breast tumor contour from ultrasonic images.

Wagner Coelho A. Pereira, André V. Alvarenga, Antonio Fernando C. Infantosi, Leonardo Macrini, Carlos Eduardo Pedreira

Comput. Biol. Medicine, 2010

2009

New Decision Support Tool for Treatment Intensity Choice in Childhood Acute Lymphoblastic Leukemia.

Carlos Eduardo Pedreira, Leonardo Macrini, Marcelo G. Land, Elaine S. Costa

IEEE Trans. Inf. Technol. Biomed., 2009

Generalized Risk Zone: Selecting Observations for Classification.

Rodrigo T. Peres, Carlos Eduardo Pedreira

IEEE Trans. Pattern Anal. Mach. Intell., 2009

2008

A Multidimensional Classification Approach for the Automated Analysis of Flow Cytometry Data.

Carlos Eduardo Pedreira, Elaine S. Costa, M. Elena Arroyo, Julia Almeida, Alberto Orfao

IEEE Trans. Biomed. Eng., 2008

2006

Learning Vector Quantization with Training Data Selection.

Carlos Eduardo Pedreira

IEEE Trans. Pattern Anal. Mach. Intell., 2006

Preliminary Results on Noise Detection and Data Selection for Vector Quantization.

Rodrigo T. Peres, Carlos Eduardo Pedreira

Proceedings of the International Joint Conference on Neural Networks, 2006

2005

Input and data selection applied to heart disease diagnosis.

Carlos Eduardo Pedreira, Leonardo Macrini, Elaine S. Costa

Proceedings of the IEEE International Joint Conference on Neural Networks, 2005

2003

Mixture of Experts and Local-Global Neural Networks.

Mayte Suárez-Fariñas, Carlos Eduardo Pedreira

Proceedings of the 11th European Symposium on Artificial Neural Networks, 2003

2001

Modeling exchange rates: smooth transitions, neural networks, and linear models.

Marcelo C. Medeiros, Álvaro Veiga, Carlos Eduardo Pedreira

IEEE Trans. Neural Networks, 2001

An Online Learning Approach: A Methodology for Time Varying Applications.

Nitzi M. Roehl, Carlos Eduardo Pedreira

Neural Comput. Appl., 2001

2000

An Architecture for Computing Zech's Logarithms in GF(2^m).

Francisco M. de Assis, Carlos Eduardo Pedreira

IEEE Trans. Computers, 2000

Combining Neural Networks and ARIMA Models for Hourly Temperature Forecast.

Henrique S. Hippert, Carlos Eduardo Pedreira, Reinaldo Castro Souza

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

1999

Multilayer Neural Networks and Function Reconstruction by Using a priori Knowledge.

Luis Carlos C. Pedroza, Carlos Eduardo Pedreira

Int. J. Neural Syst., 1999

1995

Fuzzy ART neural network approach for incipient fault detection and isolation in rotating machines.

Nitzi M. Roehl, Carlos Eduardo Pedreira, H. R. Teles De Azevedo

Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995

Neural Networks with Missing Values Attributes.

Carlos Eduardo Pedreira, Eduardo Parente Ribeiro

Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995

1991

Optimal schedule for cancer chemotherapy.

Carlos Eduardo Pedreira, V. B. Vila

Math. Program., 1991

1984

Identification of multiplicative parameters in stochastic bilinear systems.

Carlos S. Kubrusly, Carlos Eduardo Pedreira

IEEE Trans. Syst. Man Cybern., 1984