SBRN 2008: Accepted Papers

 

Predicting the Performance of Learning Algorithms Using Support Vector Machines as Meta-Regressors Silvio Guerra
Ricardo Prudêncio
Teresa Ludermir
Selecting Neural Network Forecasting Models Using the Zoomed-Ranking Approach Patrícia dos Santos
Teresa Ludermir
Ricardo Prudêncio
Using a Probabilistic Neural Network for a Large Multi-label Problem Elias Oliveira
Improving Support of Appropriate Executive Decisions by Combining Artificial Immune Systems and Fuzzy Logic Bernardo Caldas
Flávio Oliveira Fernando Buarque de Lima Neto
Applying Neural Networks to Control Gait of Simulated Robots Milton Heinen
Fernando Osório
The Growing Self-Organizing Surface Map: Improvements Vilson Mole
Aluizio Araújo
Neurons and neural fuzzy networks based on nullnorms Michel Hell
Pyramo Pires
Fernando Gomide
GASpeech: A Framework for Automatically Estimating Input Parameters of Klatt's Speech Synthesizer José Borges,
Igor Couto Tales Imbiriba
Fabíola Oliveira
Aldebaro Klautau
Edward Bruckert
Selection of Radial Basis Functions via Genetic Algorithms in Pattern Recognition Problems Renato Tinós,
Luiz Otavio Murta Junior
A Solution of Dynamic Vehicle Routing Problem via Ant Colony System Metaheuristic Sabrina Moreira de Oliveira
Sérgio Souza
Maria Amélia Lopes Silva
Optimization of the Area Under the ROC Curve Cristiano Castro,
Antônio Braga
Controlling Chaos in Elman Network Gustavo Melo
Aluizio Araújo
Segmented Overdetermined Nonlinear Independent Component Analysis for Online Neural Filtering Eduardo Simas
José Manoel de Seixas
Luiz Calôba
A multi-objective learning algorithm for RBF neural network Illya Kokshenev
Antônio Braga
Applying Static and Dynamic Weight Measures in Ensemble Systems Raul Paradeda
Joao Carlos Xavier Junior,
Anne Canuto
Structural and Parametric Evolution of Continuous-time Recurrent Neural Networks Cesar Miguel,
Carolina Feher da Silva
Marcio Netto
Binary Tree Decomposition of Multiclass Problems Ana Lorena
André Ponce de Leon F de Carvalho
Weightless Neural Networks: Knowledge-based Inference System Teresa Ludermir
Marcilio de Souto
Wilson de Oliveira
Multi-Label Text Categorization using VG-RAM Weightless Neural Networks Claudine Gonçalves
Felipe Pedroni
Alberto De Souza
Combining distances through an auto-encoder network to verify signatures Milena Souza
Leandro Almeida
George Cavalcanti
Hierarchical Agglomerative Clustering of Short-Circuit Faults in Transmission Lines Claudomir Cardoso
Yomara Pires
Jefferson Morais
Aldebaro Klautau
Imitation Learning of an Intelligent Navigation System for Mobile Robots using Reservoir Computing Eric Antonelo
Benjamin Schrauwen
Dirk Stroobandt
A neural network generating adaptive rhythms for controlling Behavior Based Robotic Systems Ernesto Burattini
Massimo De Gregorio,
Silvia Rossi
Neural Control Applied to the Problem of Trajectory Tracking of Mobile Robots with Uncertainties Nardenio Martins
Douglas Wildgrube Bertol
Ebrahim El''youssef
Warody Lombardi
Edson De Pieri
Bio-inspired Optimization Techniques for SVM Parameter Tuning André Rossi
André Ponce de Leon F de Carvalho
Error Entropy and Mean Square Error Minimization Algorithms for Neural Identification of Supercritical Extraction Process Rosana Soares
Adriana Rosa Garcez Castro
Roberto Célio Limão de Oliveira
Vladimiro Miranda
Searching for a cryptographic model based on the pre-image calculus of cellular automata Heverton Macedo
Gina Oliveira
A Strategy for the Selection of Solutions of the Pareto Front Approximation in Multi-Objective Clustering Approaches Katti Faceli
Marcilio de Souto
André Ponce de Leon F de Carvalho
A Methodology using Neural Networks to Cluster Validity Discovered from a Marketing Database Renato Sassi
Leandro Silva,
Emilio Del-Moral-Hernandez
A Method to Detect Novelty in Time Series by Bata Clustering and Prediction Leonardo Aguayo
Guilherme Barreto
Automatic Information Extraction in Semi-Structured Official Journals Valmir Macário
Ricardo Prudêncio
Francisco De Carvalho,
Leandro Rodriguez Torres
Laerte Rodrigues Júnior
Marcos Lima
On Frequency Sensitive Competitive Learning for VQ Codebook Design Paulo Espírito Santo
Rebecca Albuquerque
Daniel Cunha
Francisco Madeiro Bernardino Junior
Multi-Ring Particle Swarm Optimization Carmelo Bastos-Filho
Marcel Caraciolo
Péricles Miranda
Danilo Carvalho
Easy efficiency-enhancement techniques for the ECGA Vinicius Melo
Alexandre Delbem
Adjusting Weights and Architecture of Neural Networks through PSO with Time-Varying Parameters and Early Stopping Lamartine Teixeira Felipe Oliveira
Adriano Oliveira
Carmelo Bastos
Quantum Logical Neural Networks Wilson de Oliveira
Adenilton da Silva
Amanda Leonel
Wilson Galindo
Jefferson Pereira

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