Carlos Eduardo Pedreira

Publication Activity (10 Years)

Years Active: 1984-2024
Publications (10 Years): 20

Top Topics

Fitness Evaluation

Neural Classifier

Top Venues

GECCO (Companion)

Publications

Domenico Sgariglia, Flavia Raquel Gonçalves Carneiro, Luís Alfredo Vidal de Carvalho, Carlos Eduardo Pedreira, Nicolas Carels, Fabrício Alves Barbosa da Silva
Optimizing therapeutic targets for breast cancer using boolean network models. Comput. Biol. Chem. 109 (2024)
Vinícius G. Costa, Sancho Salcedo-Sanz, Carlos Eduardo Pedreira
Efficient evolution of decision trees via fully matrix-based fitness evaluation. Appl. Soft Comput. 150 (2024)
Vinícius G. Costa, Jorge Pérez-Aracil, Sancho Salcedo-Sanz, Carlos Eduardo Pedreira
Evolving interpretable decision trees for reinforcement learning. Artif. Intell. 327 (2024)
Gabriel Matos Cardoso Leite, Silvia Jiménez-Fernández, Sancho Salcedo-Sanz, Carolina Gil Marcelino, Carlos Eduardo Pedreira
Solving an energy resource management problem with a novel multi-objective evolutionary reinforcement learning method. Knowl. Based Syst. 280 (2023)
Vinícius G. Costa, Carlos Eduardo Pedreira
Recent advances in decision trees: an updated survey. Artif. Intell. Rev. 56 (5) (2023)
Carolina Gil Marcelino, Gabriel M. C. Leite, P. Celes, Carlos Eduardo Pedreira
Missing Data Analysis in Regression. Appl. Artif. Intell. 36 (1) (2022)
Carolina Gil Marcelino, Carlos Eduardo Pedreira
Feature space partition: a local-global approach for classification. Neural Comput. Appl. 34 (24) (2022)
Laura Oliveira Moraes, Carlos Eduardo Pedreira
Clustering Introductory Computer Science Exercises Using Topic Modeling Methods. IEEE Trans. Learn. Technol. 14 (1) (2021)
Laura Oliveira Moraes, Carlos Eduardo Pedreira
Clustering Introductory Computer Science Exercises Using Topic Modeling Methods. CoRR (2021)
Domenico Sgariglia, Alessandra Jordano Conforte, Carlos Eduardo Pedreira, Luís Alfredo Vidal de Carvalho, Flavia Raquel Gonçalves Carneiro, Nicolas Carels, Fabrício Alves Barbosa da Silva
Data-Driven Modeling of Breast Cancer Tumors Using Boolean Networks. Frontiers Big Data 4 (2021)
Gabriel M. C. Leite, Carolina Gil Marcelino, Elizabeth F. Wanner, Carlos Eduardo Pedreira, Silvia Jiménez-Fernández, Sancho Salcedo-Sanz
Pattern Classification Applying Neighbourhood Component Analysis and Swarm Evolutionary Algorithms: A Coupled Methodology. CEC (2021)
Laura Oliveira Moraes, Carlos Eduardo Pedreira
Designing an Intelligent Tutoring System Across Multiple Classes. CSEDM@EDM (2020)
Laura Oliveira Moraes, Carlos Eduardo Pedreira, Susana Barrena, Antonio López, Alberto Orfao
A decision-tree approach for the differential diagnosis of chronic lymphoid leukemias and peripheral B-cell lymphomas. Comput. Methods Programs Biomed. 178 (2019)
Carolina Gil Marcelino, Carlos Eduardo Pedreira, Elizabeth F. Wanner, Leonel M. Carvalho, Vladimiro Miranda, Armando L. da Silva
CE+EPSO: a merged approach to solve SCOPF problem. GECCO (Companion) (2019)
Carlos E. Mello, André S. T. Carvalho, Adria Lyra, Carlos Eduardo Pedreira
Time series classification via divergence measures between probability density functions. Pattern Recognit. Lett. 125 (2019)
Hugo C. C. Carneiro, Carlos Eduardo Pedreira, Felipe M. G. França, Priscila M. V. Lima
The Exact VC Dimension of the WiSARD n-Tuple Classifier. Neural Comput. 31 (1) (2019)
Carolina Gil Marcelino, Carlos Eduardo Pedreira, Manuel Baumann, Marcel Weil, Paulo E. M. de Almeida, Elizabeth F. Wanner
A Viability Study of Renewables and Energy Storage Systems Using Multicriteria Decision Making and an Evolutionary Approach. EMO (2019)
Carolina Gil Marcelino, Paulo E. M. de Almeida, Carlos Eduardo Pedreira, Leonel M. Carvalho, Elizabeth F. Wanner
Applying C-DEEPSO to Solve Large Scale Global Optimization Problems. CEC (2018)
Hugo C. C. Carneiro, Carlos Eduardo Pedreira, Felipe M. G. França, Priscila M. V. Lima
A universal multilingual weightless neural network tagger via quantitative linguistics. Neural Networks 91 (2017)
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
Financial credit analysis via a clustering weightless neural classifier. Neurocomputing 183 (2016)
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
Credit analysis with a clustering RAM-based neural classifier. ESANN (2014)
Rodrigo T. Peres, Claus Aranha, Carlos Eduardo Pedreira
Optimized bi-dimensional data projection for clustering visualization. Inf. Sci. 232 (2013)
Rodrigo T. Peres, Carlos Eduardo Pedreira
A new local-global approach for classification. Neural Networks 23 (7) (2010)
Wagner Coelho A. Pereira, André V. Alvarenga, Antonio Fernando C. Infantosi, Leonardo Macrini, Carlos Eduardo Pedreira
A non-linear morphometric feature selection approach for breast tumor contour from ultrasonic images. Comput. Biol. Medicine 40 (11-12) (2010)
Carlos Eduardo Pedreira, Leonardo Macrini, Marcelo G. Land, Elaine S. Costa
New Decision Support Tool for Treatment Intensity Choice in Childhood Acute Lymphoblastic Leukemia. IEEE Trans. Inf. Technol. Biomed. 13 (3) (2009)
Rodrigo T. Peres, Carlos Eduardo Pedreira
Generalized Risk Zone: Selecting Observations for Classification. IEEE Trans. Pattern Anal. Mach. Intell. 31 (7) (2009)
Carlos Eduardo Pedreira, Elaine S. Costa, M. Elena Arroyo, Julia Almeida, Alberto Orfao
A Multidimensional Classification Approach for the Automated Analysis of Flow Cytometry Data. IEEE Trans. Biomed. Eng. 55 (3) (2008)
Carlos Eduardo Pedreira
Learning Vector Quantization with Training Data Selection. IEEE Trans. Pattern Anal. Mach. Intell. 28 (1) (2006)
Rodrigo T. Peres, Carlos Eduardo Pedreira
Preliminary Results on Noise Detection and Data Selection for Vector Quantization. IJCNN (2006)
Mayte Suárez-Fariñas, Carlos Eduardo Pedreira
Mixture of Experts and Local-Global Neural Networks. ESANN (2003)
Marcelo C. Medeiros, Álvaro Veiga, Carlos Eduardo Pedreira
Modeling exchange rates: smooth transitions, neural networks, and linear models. IEEE Trans. Neural Networks 12 (4) (2001)
Nitzi M. Roehl, Carlos Eduardo Pedreira
An Online Learning Approach: A Methodology for Time Varying Applications. Neural Comput. Appl. 10 (2) (2001)
Francisco M. Assis, Carlos Eduardo Pedreira
). IEEE Trans. Computers 49 (5) (2000)
Henrique S. Hippert, Carlos Eduardo Pedreira, Reinaldo Castro Souza
Combining Neural Networks and ARIMA Models for Hourly Temperature Forecast. IJCNN (4) (2000)
Luis Carlos C. Pedroza, Carlos Eduardo Pedreira
Multilayer Neural Networks and Function Reconstruction by Using a priori Knowledge. Int. J. Neural Syst. 9 (3) (1999)
Carlos Eduardo Pedreira, Eduardo Parente Ribeiro
Neural Networks with Missing Values Attributes. ICNN (1995)
Nitzi M. Roehl, Carlos Eduardo Pedreira, H. R. Teles De Azevedo
Fuzzy ART neural network approach for incipient fault detection and isolation in rotating machines. ICNN (1995)
Carlos Eduardo Pedreira, V. B. Vila
Optimal schedule for cancer chemotherapy. Math. Program. 52 (1991)
Carlos S. Kubrusly, Carlos Eduardo Pedreira
Identification of multiplicative parameters in stochastic bilinear systems. IEEE Trans. Syst. Man Cybern. 14 (2) (1984)