Identification of multiplicative parameters in stochastic bilinear systems. - Carlos S. Kubrusly; Carlos Eduardo Pedreira (IEEE Trans. Syst. Man Cybern., 1984)

Optimal schedule for cancer chemotherapy. - Carlos Eduardo Pedreira; V. B. Vila (Math. Program., 1991)

Neural Networks with Missing Values Attributes. - Carlos Eduardo Pedreira; Eduardo Parente Ribeiro (ICNN, 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 (ICNN, 1995)

Multilayer Neural Networks and Function Reconstruction by Using a priori Knowledge. - Luis Carlos C. Pedroza; Carlos Eduardo Pedreira (Int. J. Neural Syst., 1999)

Combining Neural Networks and ARIMA Models for Hourly Temperature Forecast. - Henrique S. Hippert; Carlos Eduardo Pedreira; Reinaldo Castro Souza (IJCNN (4), 2000)

An Architecture for Computing Zech's Logarithms in GF(2m). - Francisco M. de Assis; Carlos Eduardo Pedreira (IEEE Trans. Computers, 2000)

An Online Learning Approach: A Methodology for Time Varying Applications. - Nitzi M. Roehl; Carlos Eduardo Pedreira (Neural Comput. Appl., 2001)

Modeling exchange rates: smooth transitions, neural networks, and linear models. - Marcelo C. Medeiros; Álvaro Veiga; Carlos Eduardo Pedreira (IEEE Trans. Neural Networks, 2001)

Mixture of Experts and Local-Global Neural Networks. - Mayte Suárez-Fariñas; Carlos Eduardo Pedreira (ESANN, 2003)

Input and data selection applied to heart disease diagnosis. - Carlos Eduardo Pedreira; Leonardo Macrini; Elaine S. Costa (IJCNN, 2005)

Preliminary Results on Noise Detection and Data Selection for Vector Quantization. - Rodrigo T. Peres; Carlos Eduardo Pedreira (IJCNN, 2006)

Learning Vector Quantization with Training Data Selection. - Carlos Eduardo Pedreira (IEEE Trans. Pattern Anal. Mach. Intell., 2006)

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)

Generalized Risk Zone: Selecting Observations for Classification. - Rodrigo T. Peres; Carlos Eduardo Pedreira (IEEE Trans. Pattern Anal. Mach. Intell., 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)

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)

A new local-global approach for classification. - Rodrigo T. Peres; Carlos Eduardo Pedreira (Neural Networks, 2010)

Optimized bi-dimensional data projection for clustering visualization. - Rodrigo T. Peres; Claus Aranha; Carlos Eduardo Pedreira (Inf. Sci., 2013)

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 (ESANN, 2014)

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)

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)

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 (CEC, 2018)

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 (EMO, 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 (GECCO (Companion), 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)

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)

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)

Designing an Intelligent Tutoring System Across Multiple Classes. - Laura Oliveira Moraes; Carlos Eduardo Pedreira (CSEDM@EDM, 2020)

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 (CEC, 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)

Clustering Introductory Computer Science Exercises Using Topic Modeling Methods. - Laura Oliveira Moraes; Carlos Eduardo Pedreira (IEEE Trans. Learn. Technol., 2021)

Missing Data Analysis in Regression. - Carolina Gil Marcelino; Gabriel M. C. Leite; P. Celes; Carlos Eduardo Pedreira (Appl. Artif. Intell., 2022)

Feature space partition: a local-global approach for classification. - Carolina Gil Marcelino; Carlos Eduardo Pedreira (Neural Comput. Appl., 2022)

Recent advances in decision trees: an updated survey. - Vinícius G. Costa; Carlos Eduardo Pedreira (Artif. Intell. Rev., 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., 2023)

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)

Efficient evolution of decision trees via fully matrix-based fitness evaluation. - Vinícius G. Costa; Sancho Salcedo-Sanz; Carlos Eduardo Pedreira (Appl. Soft Comput., 2024)

Evolving interpretable decision trees for reinforcement learning. - Vinícius G. Costa; Jorge Pérez-Aracil; Sancho Salcedo-Sanz; Carlos Eduardo Pedreira (Artif. Intell., 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., 2024)

Comparison between five pattern-based approaches for automated diagnostic classification of mature/peripheral B-cell neoplasms based on standardized EuroFlow flow cytometry immunophenotypic data. - Carlos Eduardo Pedreira; Q. Lecrevisse; R. Fluxa; Javier Verde; Susana Barrena; J. Flores-Montero; P. Fernandez; D. Morf; V. H. J. van der Velden; E. Mejstrikova; J. Caetano; L. Burgos; et al. (Comput. Biol. Medicine, 2025)