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ICANN
2010
Springer
13 years 6 months ago
Using Evolutionary Multiobjective Techniques for Imbalanced Classification Data
The aim of this paper is to study the use of Evolutionary Multiobjective Techniques to improve the performance of Neural Networks (NN). In particular, we will focus on classificati...
Sandra García, Ricardo Aler, Inés Ma...
ISBI
2004
IEEE
14 years 9 months ago
Multi-Modal Non-Rigid Registration Using a Stochastic Gradient Approximation
We present a new fast implementation of a non-rigid registration algorithm, based on a finite element elastic deformation model using the mutual information metric with a linear e...
Aloys du Bois d'Aische, Benoît Macq, Florian...
GECCO
2006
Springer
156views Optimization» more  GECCO 2006»
14 years 24 days ago
A comparative study of evolutionary optimization techniques in dynamic environments
Genetic Algorithms have widely been used for solving optimization problems in stationary environments. In recent years, there has been a growing interest for investigating and imp...
Demet Ayvaz, Haluk Topcuoglu, Fikret S. Gürge...
TITB
2010
151views Education» more  TITB 2010»
13 years 3 months ago
An adaptive Monte Carlo approach to phase-based multimodal image registration
In this paper, a novel multiresolution algorithm for registering multimodal images, using an adaptive Monte Carlo scheme is presented. At each iteration, random solution candidates...
Alexander Wong
GECCO
2009
Springer
153views Optimization» more  GECCO 2009»
14 years 1 months ago
An evaporation mechanism for dynamic and noisy multimodal optimization
Dealing with imprecise information is a common characteristic in real-world problems. Specifically, when the source of the information are physical sensors, a level of noise in t...
Jose Luis Fernandez-Marquez, Josep Lluís Ar...