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GECCO
2007
Springer
187views Optimization» more  GECCO 2007»
15 years 5 months ago
Defining implicit objective functions for design problems
In many design tasks it is difficult to explicitly define an objective function. This paper uses machine learning to derive an objective in a feature space based on selected examp...
Sean Hanna
81
Voted
GECCO
2007
Springer
162views Optimization» more  GECCO 2007»
15 years 5 months ago
A multi-objective approach to discover biclusters in microarray data
The main motivation for using a multi–objective evolutionary algorithm for finding biclusters in gene expression data is motivated by the fact that when looking for biclusters ...
Federico Divina, Jesús S. Aguilar-Ruiz
IBPRIA
2007
Springer
15 years 5 months ago
Robust Lane Lines Detection and Quantitative Assessment
Detection of lane markings based on a camera sensor can be a low cost solution to lane departure and curve over speed warning. A number of methods and implementations have been rep...
Antonio M. López, Joan Serrat, Cristina Ca&...
IBPRIA
2007
Springer
15 years 5 months ago
A Neural Network Model for Image Change Detection Based on Fuzzy Cognitive Maps
This paper outlines a neural network model based on the Fuzzy Cognitive Maps (FCM) framework for solving the automatic image change detection problem. Each pixel in the reference i...
Gonzalo Pajares, Alfonso Sánchez-Beato, Jes...
IBPRIA
2007
Springer
15 years 5 months ago
Three-Dimensional Ultrasonic Assessment of Atherosclerotic Plaques
Carotid atherosclerosis is the most common life-threatening neurological disease and therefore an accurate assessment of atheromatous plaques is clinically important. Several studi...
José Seabra, João Sanches, Luí...