Carlos Eduardo Pedreira

发表

Optimal schedule for cancer chemotherapy

Carlos Eduardo Pedreira, V. B. Vila, C. E. Pedreira, 1991, Math. Program..

Financial credit analysis via a clustering weightless neural classifier

Felipe Maia Galvão França, Douglas de O. Cardoso, Priscila Machado Vieira Lima, 2016, Neurocomputing.

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

Carlos Eduardo Pedreira, Francisco M. Assis, 2000, IEEE Trans. Computers.

Mixture of Experts and Local-Global Neural Networks

Mayte Suárez-Fariñas, Carlos Eduardo Pedreira, 2003, ESANN.

Preliminary Results on Noise Detection and Data Selection for Vector Quantization

Carlos Eduardo Pedreira, C. E. Pedreira, Rodrigo T. Peres, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Credit analysis with a clustering RAM-based neural classifier

Felipe Maia Galvão França, Douglas de O. Cardoso, Priscila Machado Vieira Lima, 2014, ESANN.

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

Carlos Eduardo Pedreira, Alberto Orfao, C. E. Pedreira, 2008, IEEE Transactions on Biomedical Engineering.

Optimized bi-dimensional data projection for clustering visualization

Claus Aranha, Carlos Eduardo Pedreira, Rodrigo T. Peres, 2013, Inf. Sci..

Theory of shape optimization with applications to heat loss minimization

Carlos Eduardo Pedreira, 1987 .

A universal multilingual weightless neural network tagger via quantitative linguistics

Felipe Maia Galvão França, Priscila Machado Vieira Lima, Carlos Eduardo Pedreira, 2017, Neural Networks.

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

Wagner Coelho A. Pereira, Antonio Fernando Catelli Infantosi, Carlos Eduardo Pedreira, 2010, Comput. Biol. Medicine.

The Exact VC Dimension of the WiSARD n-Tuple Classifier

Felipe Maia Galvão França, Priscila Machado Vieira Lima, Carlos Eduardo Pedreira, 2019, Neural Computation.

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

Carlos Eduardo Pedreira, C. E. Pedreira, Nitzi M. Roehl, 1995, Proceedings of ICNN'95 - International Conference on Neural Networks.

Neural Networks with Missing Values Attributes

Eduardo Parente Ribeiro, Carlos Eduardo Pedreira, 1995, Proceedings of ICNN'95 - International Conference on Neural Networks.

Learning vector quantization with training data selection

Carlos Eduardo Pedreira, C. E. Pedreira, 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.

A new local-global approach for classification

Carlos Eduardo Pedreira, C. E. Pedreira, Rodrigo T. Peres, 2010, Neural Networks.

Generalized Risk Zone: Selecting Observations for Classification

Carlos Eduardo Pedreira, C. E. Pedreira, Rodrigo T. Peres, 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.

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

Marcelo C. Medeiros, Carlos Eduardo Pedreira, Alvaro Veiga, 2001, IEEE Trans. Neural Networks.

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

Carlos Eduardo Pedreira, C. E. Pedreira, Elaine S. Costa, 2009, IEEE Transactions on Information Technology in Biomedicine.

An Online Learning Approach: A Methodology for Time Varying Applications

Carlos Eduardo Pedreira, Nitzi M. Roehl, 2001, Neural Computing & Applications.

Designing an Intelligent Tutoring System Across Multiple Classes

Carlos Eduardo Pedreira, C. E. Pedreira, Laura O. Moraes, 2020, CSEDM@EDM.

Data-Driven Modeling of Breast Cancer Tumors Using Boolean Networks

Alessandra Jordano Conforte, Nicolas Carels, Carlos Eduardo Pedreira, 2021, Frontiers in Big Data.

Clustering Introductory Computer Science Exercises Using Topic Modeling Methods

Carlos Eduardo Pedreira, Laura Oliveira Moraes, 2021, IEEE Transactions on Learning Technologies.

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

Elizabeth F. Wanner, Sancho Salcedo-Sanz, Silvia Jiménez-Fernández, 2021, 2021 IEEE Congress on Evolutionary Computation (CEC).