Buscar
Mostrando ítems 1-10 de 324
A Diversity-Accuracy Measure for Homogenous Ensemble Selection
Several selection methods in the literature are essentially based on an evaluation function that determines whether a model M contributes positively to boost the performances of the whole ensemble. In this paper, we propose ...
Skin lesion computational diagnosis of dermoscopic images: Ensemble models based on input feature manipulation
(Elsevier B.V., 2017-10-01)
Background and objectives: The number of deaths worldwide due to melanoma has risen in recent times, in part because melanoma is the most aggressive type of skin cancer. Computational systems have been developed to assist ...
Automatic Irony Detection using Feature Fusion and Ensemble Classifier
With the advent of micro-blogging sites, users are pioneer in expressing their sentiments and emotions on global issues through text. Automatic detection and classification of sentiments like sarcastic or ironic content ...
Pattern Recognition in Macroscopic and Dermoscopic Images for Skin Lesion Diagnosis
(Springer, 2018-01-01)
Pattern recognition in macroscopic and dermoscopic images is a challenging task in skin lesion diagnosis. The search for better performing classification has been a relevant issue for pattern recognition in images. Hence, ...
Uma abordagem baseada em Perceptrons balanceados para geração de ensembles e redução do espaço de versões
(Universidade Federal de Juiz de Fora (UFJF)BrasilICE – Instituto de Ciências ExatasPrograma de Pós-graduação em Ciência da ComputaçãoUFJF, 2017)
Acute leukemia classification by ensemble particle swarm model selection
(Elsevier B.V., 2012)
Failure mode detection of reinforced concrete shear walls using ensemble deep neural networks
(Springer, 2022)
Reinforced concrete structural walls (RCSWs) are one of the most efficient lateral force-resisting systems used in buildings, providing sufficient strength, stiffness, and deformation capacities to withstand the forces ...
Evolutionary ensemble pattern classifiers
(2020-01-09)
RESUMEN:
Los comités de clasificadores son métodos que combinan las predicciones de diversos clasificadores base con el objetivo de producir un modelo con mejor poder predictivo; esto es, aplicar el concepto de que muchas ...
Ensemble classification method for structural damage assessment under varying temperature
(SAGE Publications Ltd, 2017)
Vibration-based damage assessment approaches use modal parameters, such as frequency response functions, mode shapes, and natural frequencies, as indicators of structural damage. Nevertheless, these parameters are sensitive ...