SBRN Instructions for Author's Presentation
All papers must be presented by one author in a oral presentation session.
The event will provide a computer with windows installed. Each paper will have
15 minutes of presentation and 5 minutes of discussion. Please, prepare a slide show considering the time available. All files must be copied to the computer minutes before the session begins.














SBRN Accepted Papers


Friday, May 14th 2010


Publication Policy
It is the conference policy that at least one of the authors of accepted papers has to register as FULL REGISTRATION *before* the deadline for sending the camera-ready paper. Accepted papers without the respective author registration *before* the deadline will not be included in the proceedings.


A New Class of Implicative Fuzzy Associative Memories for the Reconstruction of Gray-Scale Images Corrupted by Salt and Pepper Noise
Marcos Eduardo Valle

Very Short-Term Load Forecasting Using a Hybrid Neuro-Fuzzy Approach
Luciano Andrade, Ivan Nunes da Silva

A Comparative Study on the Use of Correlation Coefficients for Redundant Feature Elimination
Pablo Jaskowiak, Ricardo Campello, Thiago Covões, Eduardo Hruschka

The Control of Dominance Area in Particle Swarm Optimization Algorithms for Many-objective Problems
André de Carvalho, Aurora Pozo

Artificial Neural Network for Predicting Extreme Sea Level Variation Associated with Severe Storms
Marilia Oliveira

An Evolving System Based on Probabilistic Neural Network
Patrick Ciarelli,Evandro O. T. Salles,Elias Oliveira

Applying a Discrete Particle Swarm Optimization Algorithm to Combinatorial Problems
Matheus Rosendo

Biogeography-based optimization combined with prey-predator approach applied to economic load dispatch
Marsil de Athayde Costa e Silva, Leandro dos Santos Coelho

Multiple-model Identification using ANFIS for Nonlinear Systems
Marconi Rodrigues

Use of evolutionary robots as an auxiliary tool for developing behavioral models of rats in an elevated plus-maze
Helder Shimo, Antônio Filho, Julián Tejada, Sílvio Morato, Renato Tinós

IPNN: An Incremental Probabilistic Neural Network for Function Approximation and Regression Tasks
Milton Heinen, Paulo Engel

Contribution to Single and Multi-objective Evolutionary Algorithms Assisted by Meta-modeling
Leonardo Brito, Adson Rocha, Ciro Macedo, Paulo Carvalho

Using Tile Coding to Represent States in Learning: the case of Stochastic Games with Many Players
Samuel Waskow, Ana Bazzan

Reinforcement Learning for Controlling a Coupled Tank System Based on the Scheduling of Different Controllers
Anthony Diniz, Paulo Motta, Jorge Dantas de Melo, Adrião Duarte Dória Neto, Armando Lemos, Sergio Kanazava

A Local Search Algorithm Based on Clonal Selection and Genetic Mutation for Global Optimization
Omar Andres Carmona Cortes, Josenildo da Silva

Enhancing Performance of Cancellable Fingerprint Biometrics using Classifier Ensembles
Anne Canuto, Michael Fairhurst, Fernando Pintro, Antonino Feitosa

Evolution Strategies with q-Gaussian Mutation for Dynamic Optimization Problems
Renato Tinós, Shengxiang Yang

Self-organizing maps applied to information retrieval of dissertations and theses from BDTD-UFPE
Bruno Pinheiro, Renato Corrêa

Use of Multiobjective Genetic Algorithms in Feature Selection
Newton Spolaôr, Ana Lorena, Huei Lee

Estimating the Number of Hidden Neurons of the MLP Using Singular Value Decomposition and Principal Components Analysis: A Novel Approach
José Daniel Santos, Guilherme Barreto, Cláudio Medeiros

Clonal selection algorithm with oppositional approach applied to trajectory planning of a robotic manipulator
Daniel Jeronymo, Yuri Campbell, Leandro dos Santos Coelho

Combining Meta-Learning and Search Techniques to SVM Parameter Selection
Taciana Gomes, Ricardo Prudêncio, Carlos Soares, André Rossi, André Ponce de Leon F de Carvalho

Hierarchical Multilabel Classification Using Top-Down Label Combination and Artificial Neural Networks
Ricardo Cerri, André Ponce de Leon F de Carvalho

On the Complexity of Gene Marker Selection
Ana Lorena, Newton Spolaôr, Ivan Costa, Marcilio de Souto

Inferring Genetic Regulatory Networks with an Hierarchical Bayesian Model and a Parallel Sampling Algorithm
Adriano Werhli, Mariana Mendoza

Many-Objective Evolutionary Algorithms for Web Service Composition
Arion Junior, Aurora Pozo, Silvia Vergilio, Taylor Savegnago

Identifying Abnormal Nodes in Protein-Protein Interaction Networks
Bilzã Araújo, Francisco Rodrigues, Thiago Silva, Liang Zhao

A Weightless Neural Node based in a Probabilistic Quantum Memory
Adenilton da Silva, Wilson de Oliveira, Teresa Ludermir

Evolving arbitrarily connected feedforward neural networks via genetic algorithms
Wilfredo J. Puma-Villanueva, Fernando Von Zuben 

Static and Dynamic Weights in Ensemble Systems Built by Class-based Feature Selection Methods
 Karliane Vale, Antonino Feitosa, Anne Canuto, Filipe Dias

An evaluation of rule-based classification models induced by a fuzzy method and two classic learning algorithms
Marcos Cintra, Maria Carolina Monard, Heloisa Camargo

Using Meta-learning to Classify Traveling Salesman Problems
Jorge Kanda, André Ponce de Leon F de Carvalho, Eduardo Hruschka, Carlos Soares

Localization of Salient Objects in Scenes through Visual Attention
Alcides Xavier Benicasa, Roseli Francelin Romero

Local Feature Selection for Generation of Ensembles in Text Clustering
 Marcelo Nunes, Ricardo Prudêncio

Assessing Stock Market Time Series Predictors Quality Through a Pairs Trading System
Paulo Gomide, Ruy Milidiú

Genetic Interval Type-2 Fuzzy Classifier Generation: A Comparative Approach
Adinovam Pimenta, Heloisa Camargo

A Method for Reinforcement Learning to BioAgents
 Celia Ralha, Hugo Schneider,Maria Emilia Walter, Ana Bazzan

Improvements on the Partitions Selection Strategy for Set of Clustering Solutions
Tiemi Sakata, Katti Faceli, Marcilio de Souto, André Ponce de Leon F de Carvalho

Visual Interpretation of Self-Organizing Maps
Edson Kitani, Emilio Hernandez, Carlos Eduardo Thomaz, Leandro Silva

A note on sample complexity of training binary output neural networks under fixed input distributions
Vladimir Pestov

Emergence of Neuronal Groups on a Self-Organized Spiking Neurons Network Based on Genetic Algorithm
Gabriela Soares

Algorithms to Augment Diversity and Convergence in Multiobjective Multicast Flow Routing
Marcos Luiz de Paula Bueno, Gina Oliveira

An Application of the Ant Colony System Metaheuristic to the Vehicle Routing Problem with Pickup and Delivery and TimeWindows
Eduardo Carabetti, Sérgio Souza, Marcelo Fraga, Pedro Gama

Hybrid Systems to Select Variables for Time Series Forecasting Using MLP and Search Algorithms
Ivna Valença, Mêuser Valença, Teresa Ludermir

Superposition Based Learning Algorithm
Adenilton da Silva,Wilson de Oliveira  Teresa Ludermir


All camera-ready paper submissions are required to assign copyright to the IEEE

São Bernardo do Campo - SP

OCTOBER 23-28, 2010