5. HIS 2005: Rio de Janeiro, Brazil

Cover

• Fifth International Conference on Hybrid Intelligent Systems - Cover.
  
• Fifth International Conference on Hybrid Intelligent Systems - Title Page.
  
• Fifth International Conference on Hybrid Intelligent Systems - Copyright.
  

Introduction

• Foreword.
  
• Welcome from the General Co-chairs.
  
• Welcome from the Program Co-chairs.
  
• Conference Committees.
  
• Program Committee.
  
• Additional Reviewers.
  

Plenary Keynotes Session

• Rudolf Kruse, Jörg Gebhardt:
  Probabilistic Graphical Models in Complex Industrial Applications. 3
  
• Stefan Wermter:
  Hybrid Intelligent Systems and Cognitive Robotics. 4
  
• Carlos A. Coello Coello:
  Evolutionary Multi-Objective Optimization: Current State and Future Challenges. 5
  
• Alexander F. Gelbukh:
  Natural Language Processing. 6
  

ONS Invited Paper

• Marcio Cataldi, Luiz Guilherme, Ferreira Guilhon, Carla da C. Lopes Achao:
  Application of Data Mining Techniques as a Complement to Natural Inflow Uni-variable Stochastic Forecasting - A Case Study : The Iguaçu River Basin. 9-16
  

Hybrid Intelligent System Architectures

• Joao Marcos Vieira, Maria do Carmo Nicoletti, Marina Teresa Pires Vieira:
  A Collaborative Approach to Knowledge Extraction from Rough Relational Databases. 17-22
  
• Pablo Alberto Dalbem de Castro, Fernando J. Von Zuben:
  An Immune-Inspired Approach to Bayesian Networks. 23-28
  
• Antonio Henrique Pinto Selvatici, Anna Helena Reali Costa:
  A Hybrid Adaptive Architecture for Mobile Robots Based on Reactive Behaviors. 29-34
  
• Ramin Halavati, Jaffar Habibi, Saeed Bagheri Shouraki:
  Evolving Analytic Hierarchy Processes for Artificial Life-Based Games. 35-40
  
• Juan José Pantrigo, Ángel Sánchez:
  Hybridizing Particle Filters and Population-based Metaheuristics for Dynamic Optimization Problems. 41-48
  

Evolutionary Computation

• Antonio Augusto Chaves, Luiz Antonio Nogueira Lorena:
  Hybrid Algorithms with Detection of Promising Areas for the Prize Collecting Travelling Salesman Problem. 49-54
  
• Lily Rachmawati, Dipti Srinivasan:
  A Hybrid Fuzzy Evolutionary Algorithm for A Multi-Objective Resource Allocation Problem. 55-60
  
• Guilherme Bastos Alvarenga, Ricardo Martins de Abreu Silva, Geraldo Robson Mateus:
  A Hybrid Approach for the Dynamic Vehicle Routing Problem with Time Windows. 61-67
  
• Rogerio Marinke, Ivone Matiko, Ernesto Araujo, Leandro dos Santos Coelho:
  Particle Swarm Optimization (PSO) applied to Fuzzy Modeling in a Thermal-Vacuum System. 67-72
  
• Chang Su, Yang Gao, Jianmei Yang, Bin Luo:
  An Efficient Adaptive Focused Crawler Based on Ontology Learning. 73-78
  
• John A. Bullinaria:
  Evolved Age Dependent Plasticity Improves Neural Network Performance. 79-86
  

Fuzzy Systems

• Inhaúma Neves Ferraz, Ana Cristina Bicharra Garcia:
  Lithofacies recognition Hybrid Bench. 87-91
  
• Leonid Sheremetov, Ildar Z. Batyrshin, Jorge Martínez Muñoz, Hector Rodriguez, Denis Filatov:
  Fuzzy Expert System for Solving Lost Circulation Problem. 92-97
  
• Rodrigo Rodrigues Sumar, Antonio Augusto Rodrigues Coelho, Leandro dos Santos Coelho:
  Assessing Fuzzy and Neural Approaches for a PID Controller Using Universal Model. 98-103
  
• Nicomedes Cavalcanti:
  A Fuzzy c-means Algorithm Based on an Adaptive L2 Minkowsky Distance. 104-109
  
• Elaine T. Fonseca, Pedro C. G. da S. Vellasco, Marley B. R. Vellasco, Sebastião A. L. de Andrade:
  A Neuro-Fuzzy System for Steel Beams Patch Load Prediction. 110-115
  
• Jose Antonio Vieira, Fernando Morgado Dias, Alexandre Manuel Mota:
  Hybrid Neuro-Fuzzy Network-Priori Knowledge Model in Temperature Control of a Gas Water Heater System. 116-124
  

Neural Networks

• Maria do Carmo Nicoletti, Lucas Baggio Figueira, Estevam R. Hruschka Jr.:
  Initializing an Exemplar Based Learning Process from a RuleNet Network. 125-130
  
• Bruno Apolloni, Dario Malchiodi, Andrea Brega:
  BICA: a Boolean Independent Component Analysis Algorithm. 131-136
  
• Priscila Machado Vieira Lima, M. Mariela Morveli-Espinoza, Glaucia C. Pereira, Felipe Maia Galvão França:
  SATyrus: A SAT-based Neuro-Symbolic Architecture for Constraint Processing. 137-142
  
• Paulemir G. Campos, Teresa Bernarda Ludermir:
  Literal and ProRulext: Algorithms for Rule Extraction of ANNs. 143-148
  
• Amanda Pimentel e Silva Lins, Teresa Bernarda Ludermir:
  Hybrid Optimization Algorithm for the Definition of MLP Neural Network Architectures and Weights. 149-154
  
• Domingos Vanderlei Filho, Hilton de C. Chaves Jr., Mêuser Jorge Silva Valença, Fernando M. Campello de Souza:
  A Constructive Neural Network for Detecting Left Ventricular Hypertrophy. 155-162
  

Machine Learning

• Esther Luna Colombini, Carlos H. C. Ribeiro:
  An Analysis of Feature-based and State-based Representations for Module-Based Learning in Mobile Robots. 163-168
  
• Hidenao Abe, Miho Ohsaki, Shusaku Tsumoto, Takahira Yamaguchi:
  Evaluating a Rule Evaluation Support Method with Learning Models Based on Objective Rule Evaluation Indices - A Case Study with a Meningitis Data Mining Result. 169-174
  
• Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe, Teresa Mroczek, Edward Rój, Boleslaw Skowronski:
  Data Mining Experiments on Hop Processing Data. 175-180
  
• Marzena Kryszkiewicz:
  Using Generators for Discovering Certain and Generalized Decision Rules. 181-186
  
• James F. Peters, Daniel Lockery, Sheela Ramanna:
  Monte Carlo Off-Policy Reinforcement Learning: A Rough Set Approach. 187-192
  
• Abdelhamid Bouchachia:
  Learning with Hybrid Data. 193-200
  

Statistical Learning

• Bernd-Jürgen Falkowski:
  On a Ranking Problem Associated with Basel II. 201-205
  
• Amitava Karmaker, Stephen Kwek:
  A Boosting Approach to remove Class Label Noise. 206-211
  
• Krzysztof Grabczewski, Norbert Jankowski:
  Feature Selection with Decision Tree Criterion. 212-217
  
• Cleber Zanchettin, Ferdinand L. Minku, Teresa Bernarda Ludermir:
  Design of Experiments in Neuro-Fuzzy Systems. 218-226
  

Heuristics and Optimization

• Shigeyuki Takahara, Sadaaki Miyamoto:
  An Evolutionary Approach for the Multiple Container Loading Problem. 227-232
  
• Christian Blum, Krzysztof Socha:
  Training feed-forward neural networks with ant colony optimization: An application to pattern classification. 233-238
  
• Lucas de O. Bastos, Luiz Satoru Ochi, Elder M. Macambira:
  GRASP with Path-Relinking for the SONET Ring Assignment Problem. 239-244
  
• Heitor Silvério Lopes, Leandro dos Santos Coelho:
  Particle Swarm Optimization with Fast Local Search for the Blind Traveling Salesman Problem. 245-250
  
• Manoel Junior Leandro de Lima, Jorge Dantas de Melo, Adrião Duarte Dória Neto:
  Hierarchical Reinforcement Learning for Metrical Task Systems. 251-258
  

Multi-Objective Optimization

• Peter Tawdross, Andreas König:
  Investigation of Particle Swarm Optimization for Dynamic Reconfiguration of Field-Programmable Analog Circuits. 259-264
  
• Hisao Ishibuchi, Kaname Narukawa:
  Spatial Implementation of Evolutionary Multiobjective Algorithms with Partial Lamarckian Repair for Multiobjective Knapsack Problems. 265-270
  
• Hisao Ishibuchi, Yusuke Nojima:
  Performance Evaluation of Evolutionary Multiobjective Approaches to the Design of Fuzzy Rule-Based Ensemble Classifiers. 271-276
  
• Crina Grosan, Ajith Abraham:
  Ensemble of Genetic Programming Models for Designing Reactive Power Controllers. 277-284
  

Features, Classification, and Clustering

• Anne M. P. Canuto, Lucas de Melo Oliveira, João Carlos Xavier Jr., Araken M. Santos, Marjory C. C. Abreu:
  Performance and Diversity Evaluation in Hybrid and Non-Hybrid Structures of Ensembles. 285-290
  
• Giovanni Semeraro, Pasquale Lops, Marco Degemmis:
  WordNet-based User Profiles for Neighborhood Formation in Hybrid Recommender Systems. 291-296
  
• Leonardo Vidal Batista, Moab Mariz Meira, Nicomedes Cavalcanti:
  Texture Classification using Local and Global Histogram Equalization and the Lempel-Ziv-Welch Algorithm. 297-302
  
• Kihoon Yoon, Stephen Kwek:
  An Unsupervised Learning Approach to Resolving the Data Imbalanced Issue in Supervised Learning Problems in Functional Genomics. 303-308
  
• Amitava Karmaker:
  Incorporating an EM-Approach for Handling Missing Attribute-Values in Decision Tree Induction. 309-314
  
• Flavia Cristina Bernardini, Maria Carolina Monard, Ronaldo C. Prati:
  Constructing Ensembles of Symbolic Classifiers. 315-322
  

Support Vector Machines and Kernel Methods

• Bernardo Penna Resende de Carvalho, Wilian Soares Lacerda, Antônio de Pádua Braga:
  A Hybrid Approach for Sparse Least Squares Support Vector Machines. 323-328
  
• Marcelo M. Silva, Thiago T. Maia, Antônio de Pádua Braga:
  An evolutionary approach to Transduction in Support Vector Machines. 329-334
  
• Adriana da Costa F. Chaves, Marley B. R. Vellasco, Ricardo Tanscheit:
  Fuzzy Rule Extraction from Support Vector Machines. 335-340
  
• Jose Guajardo, Jaime Miranda, Richard Weber:
  A Hybrid Forecasting Methodology using Feature Selection and Support Vector Regression. 341-346
  
• E. Douglas, D. Torres, M. Claudio, S. Rocco:
  Reliability Assessment of Complex Networks using rules extracted from trained ANN and SVM models. 347-352
  
• E. Douglas, D. Torres, M. Claudio, S. Rocco:
  Extracting Trees from Trained SVM Models using a TREPAN Based Approach. 353-360
  

Image and Signal Processing

• Rodrigo Verschae, Javier Ruiz-del-Solar, Mario Köppen, Raul Vicente-Garcia:
  Improvement of a Face Detection System by Evolutionary Multi-Objective Optimization. 361-366
  
• Jiang Yun, Zhanhuai Li, Wang Yong, Longbo Zhang:
  Joining Associative Classifier for Medical Images. 367-372
  
• JanKees van der Poel, Carlos Wilson Dantas de Almeida, Leonardo Vidal Batista:
  A New Multiscale, Curvature-Based Shape Representation Technique for Image Retrieval Based on DSP Techniques. 373-378
  
• Daniela Mayumi Ushizima, Ana Carolina Lorena, André Carlos Ponce Leon Ferreira de Carvalho:
  Support Vector Machines Applied to White Blood Cell Recognition. 379-384
  
• Airam Carlos Pais Barreto Marques, Antonio Carlos Gay Thomé:
  A Neural Network Fingerprint Segmentation Method. 385-392
  

Data Mining

• Leonardo R. Emmendorfer, Rodrigo Traleski, Aurora Trinidad Ramirez Pozo:
  Using Prior Knowledge to Improve the Performance of an Estimation of Distribution Algorithm Applied to Feature Selection. 393-398
  
• Shoji Hirano, Shusaku Tsumoto:
  Grouping of Soccer Game Records by Multiscale Comparison Technique and Rough Clustering. 399-404
  
• Eduardo R. Hruschka, Thiago F. Covoes, Estevam R. Hruschka Jr., Nelson F. F. Ebecken:
  Feature Selection for Clustering Problems: a Hybrid Algorithm that Iterates Between k-means and a Bayesian Filter. 405-410
  
• Ana R. Teixeira, Paula M. Alves, Rui Oliveira, Carlos Alves, Manuel J. T. Carrondo:
  Hybrid Metabolic Flux Analysis/Artificial Neural Network Modeling of Bioprocesses. 411-416
  
• Norbert Jankowski, Krzysztof Grabczewski:
  Heterogenous Committees with Competence Analysis. 417-424
  

Control and Automation

• Hongbo Li, Zengqi Sun, Fengge Wu, Fuchun Sun:
  Optimal Controller Design for a class of Networked Control Systems. 425-430
  
• Norman Bauersfeld, Klaus-Dietrich Kramer, Steffen Patzwahl:
  Methods of Computational Intelligence to Give Qualitative and Quantitative Statements of Gas Concentrations at a High Temperature Sensor. 431-436
  
• Denise Regina Pechmann Simon, Adelmo Luis Cechin:
  Comparison of Deterministic and Fuzzy Finite Automata Extraction Methods from Jordan Networks. 437-444
  

Multi-Agent Systems

• Hongbo Liu, Ajith Abraham:
  Fuzzy Adaptive Turbulent Particle Swarm Optimization. 445-450
  
• Marjory C. C. Abreu, Anne M. P. Canuto, Laura Emmanuella A. Santana:
  A Comparative Analysis of Negotiation Methods for a Multi-neural Agent System. 451-456
  
• Karl Kaas Laursen, Martin Fejrskov Pedersen, Jan Dimon Bendtsen, Lars Alminde:
  The SOPHY framework: Simulation, Observation and Planning in Hybrid Systems. 457-462
  
• Dennis Barrios-Aranibar, Pablo Javier Alsina:
  Recognizing Behaviors Patterns in a Micro Robot Soccer Game. 463-468
  
• Derek Messie, Jae C. Oh:
  SWARMs of Self-Organizing Polymorphic Agents. 469-476
  

Business Systems and Financial Engineering

• José A. B. Tomé, João Paulo Carvalho:
  Market Index Prediction using Fuzzy Boolean Nets. 477-481
  
• Maricela Bravo, Joaquín Pérez, Víctor Jesús Sosa Sosa, Azucena Montes Rendón, Gerardo Reyes Salgado:
  Ontology Support for Communicating Agents in Negotiation Processes. 482-487
  
• Juan G. Lazo Lazo, Marley B. R. Vellasco, Marco Aurélio Cavalcanti Pacheco:
  Determination of Real Options Value by Monte Carlo Simulation and Fuzzy Numbers. 488-496
  

Posters

• Antonio J. T. Garcia, Eduardo R. Hruschka:
  Naive Bayes as an Imputation Tool for Classification Problems. 497-499
  
• Viviane de Aragao Trindade, Luiz Satoru Ochi:
  Hybrid Adaptive Memory Programming Using GRASP and Path Relinking for the Scheduling Workover Rigs for Onshore Oil Production. 500-502
  
• Antoniya Georgie, Ivan Jordanov:
  A Hybrid Heuristic Method for Global Optimization. 503-505
  
• David Al-Dabass, David J. Evans, Manling Ren:
  Observability in Hybrid Multi Agent Recurrent Nets for Natural Language Processing. 506-508
  
• Jian Ma, Zengqi Sun:
  MRS Classification Based on Independent Component Analysis and Support Vector Machines. 509-511
  
• Adriano L. I. Oliveira, Ericles A. Medeiros, Thyago A. B. V. Rocha, Miguel E. R. Bezerra, Ronaldo C. Veras:
  A Study on the Influence of Parameter ?- on Performance of RBF Neural Networks Trained with the Dynamic Decay Adjustment Algorithm. 512-514
  
• Marcus S. Aquino, Fernando F. de Sousa, Alejandro César Frery:
  Multi-Agent Architecture for Generating and Monitoring Adaptive Virtual Environments. 515-517
  
• Sandeep Chandana, René V. Mayorga:
  Rough Approximation based Neuro Fuzzy Inference System: A novel approach to Approximation and Error Estimation. 518-520
  
• Fabio A. Guerra, Leandro dos Santos Coelho:
  Radial Basis Neural Network Learning Based on Particle Swarm Optimization to Multistep Prediction of Chaotic Lorenz's System. 521-523
  
• Mehdi Fatemi, Mehdi Roopaei, Faridoon Shabaninia:
  New Enhanced Methods for Radial Basis Function Neural Networks in Function Approximation. 524-527
  
• Patrick B. Moratori, Leila Cristina V. de Andrade, Adriano J. de Oliveira Cruz, Cabral Lima:
  Comparing Sensitivity and Robustness of Fuzzy and Neuro-fuzzy Controllers. 528-530
  
• Wilian Soares Lacerda, Antônio de Pádua Braga:
  Design of digital classifier circuits with nearest neighbour prior sample selection. 531-533
  
• McGregor J. Collie, David L. Dowe, Leigh J. Fitzgibbon:
  Stock Market Simulation and Inference Technique. 534-538
  
• João Alberto Fabro, Flávio Neves Jr., Lucia V. R. Arruda:
  A Proposal of a Fuzzy-Neuro Predictive Control, Tuned by Genetic Algorithms, with application to the Start-Up Control of a Distillation Column. 539-541
  
• Vicente O. Baez-Monroy, Simon O'Keefe:
  Modelling Incremental LearningWith The Batch SOM Training Method. 542-544
  
• Mêuser Jorge Silva Valença, Teresa Bernarda Ludermir, Anelle Valença:
  River Flow Forecasting for Reservoir management through Neural Networks. 545-547
  
• Mêuser Jorge Silva Valença, Teresa Bernarda Ludermir, Anelle Valença:
  Modeling of the rainfall-runoff relationship with artificial neural network. 548-550
  
• Karla Figueiredo, Luciana Campos, Marley B. R. Vellasco, Marco Aurélio Cavalcanti Pacheco:
  Reinforcement Learning-Hierarchical Neuro-Fuzzy Politree Model for Autonomous Agents - Evaluation in a Multi-Obstacle Environment. 551-554