Av. Sete de Setembro, 3165. (2010)
Celia C. Bojarczuk, Curitiba Pr, Heitor S. Lopes, Alex A. Freitas, Rua Imaculada Conceição
a case study in a medical domain
EGIPSYS: AN ENHANCED GENE EXPRESSION PROGRAMMING APPROACH FOR SYMBOLIC REGRESSION PROBLEMS † (2008)
Heitor S. Lopes, Wagner R. Weinert
This paper reports a system based on the recently proposed evolutionary paradigm of gene expression programming (GEP). This enhanced system, called EGIPSYS, has features specially suited to deal with...
Heitor S. Lopes, Geraldo Cezar Corrêa, Lauro César Galvão, Luiz Fernando Nunes
Abstract. To face the growing demand for electric energy in large metropolitan areas, it is necessary the construction of new power substations and the extension of those already in operation....
A Configware Approach for the Implementation of a LVQ Neural Network (2008)
Maurcio Kugler, Heitor S. Lopes
Abstract: This paper describes a methodology for the implementation of a Learning Vector Quantization (LVQ) neural network in a Field Programmable Gate Array (FPGA) device, especially suited for...
Freitas,An artificial immune system for fuzzy-rule induction in data mining (2008)
Roberto T. Alves, Myriam R. Delgado, Heitor S. Lopes, Alex A. Freitas
Abstract. This work proposes a classification-rule discovery algorithm integrating artificial immune systems and fuzzy systems. The algorithm consists of two parts: a sequential covering procedure...
Wagner R. Weinert, César Benitez, Heitor S. Lopes, Carlosr. Eriglima
Abstract. This paper presents the implementation of an environment for the evolution of one-dimensional cellular automata using a reconfigurable logic device. This configware is aimed at evaluating...
Heitor S. Lopes, Marcos P. Scapin
Abstract. This paper presents an enhanced genetic algorithm for the protein structure prediction problem. A new fitness function, that uses the concept of radius of gyration, is proposed. Also, a...
Dieferson L. A. Araujo, Av. De Setembro, Heitor S. Lopes, Curitiba Pr, Alex A. Freitas
An important issue in data mining is scalability with respect to the size of the dataset being mined. In the paper we address this issue by presenting a parallel GA for rule discovery. This algorithm...
For Classification Rule, Rafael S. Parpinelli, Heitor S. Lopes, Alex A. Freitas
This work proposes an algorithm for rule discovery called Ant-Miner (Ant Colony-based Data Miner). The goal of Ant-Miner is to extract classification rules from data. The algorithm is based on recent...
Celia C. Bojarczuk, Heitor S. Lopes, Alex A. Freitas
This work is intended to discover classification rules for diagnosing certain pathologies. In order to discover these rules we have developed a new constrained-syntax genetic programming algorithm...
Mining Comprehensible Rules from Data with an Ant Colony Algorithm (2002)
Rafael S. Parpinelli, Heitor S. Lopes, Alex A. Freitas
This work describes an algorithm for data mining called Ant-Miner (Ant Colony-based Data Miner). The goal of Ant-Miner is to extract classification rules from data. The algorithm is inspired by both...
Data Mining with an Ant Colony Optimization Algorithm (2002)
Rafael S. Parpinelli, Heitor S. Lopes, Alex A. Freitas
Abstract – This work proposes an algorithm for data mining called Ant-Miner (Ant Colony-based Data Miner). The goal of Ant-Miner is to extract classification rules from data. The algorithm is...
Genetic programming for knowledge discovery in chest pain diagnosis (2000)
Celia C. Bojarczuk, Heitor S. Lopes, Alex A. Freitas
This work aims at discovering classification rules for diagnosing certain pathologies. These rules are capable of discriminating among 12 different pathologies, whose main symptom is chest pain. In...
Genetic programming for knowledge discovery in chest pain diagnosis (2000)
Celia C. Bojarczuk, Heitor S. Lopes, Alex A. Freitas
This work aims at discovering classification rules for diagnosing certain pathologies. These rules are capable of discriminating among 12 different pathologies, whose main symptom is chest pain. In...
Celia C. Bojarczuk, Av. Sete De Setembro, Heitor S. Lopes, Alex A. Freitas, Rua Imaculada Conceio
This work it is intended to discover classification rules for diagnosing certain pathologies. These rules are capable of discriminating among 12 different pathologies, whose main symptom is chest...