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   Articles with "ensemble classifiers" as a keyword



Stability investigation of multi-objective heuristic ensemble classifiers

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recommendations! Published in 2019 at "International Journal of Machine Learning and Cybernetics"

DOI: 10.1007/s13042-018-0789-6

Abstract: Stability analysis of heuristic ensemble classifiers, which are designed by using heuristic methods, is a significant topic due to the stochastic nature of heuristic algorithms. Considering the importance of this issue, the novelty of this… read more here.

Keywords: heuristic ensemble; objective heuristic; multi objective; stability investigation ... See more keywords
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Ensemble of classifiers and wavelet transformation for improved recognition of Fuhrman grading in clear-cell renal carcinoma

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recommendations! Published in 2017 at "Biocybernetics and Biomedical Engineering"

DOI: 10.1016/j.bbe.2017.04.005

Abstract: Abstract The paper presents an improved system to recognition of Fuhrman grading in clear-cell renal carcinoma using an ensemble of classifiers. The novelty of solution includes the segmentation applying wavelet transformation in preprocessing stage, application… read more here.

Keywords: wavelet transformation; recognition fuhrman; fuhrman grading; ensemble classifiers ... See more keywords
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Less Is More: A Comprehensive Framework for the Number of Components of Ensemble Classifiers

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recommendations! Published in 2019 at "IEEE Transactions on Neural Networks and Learning Systems"

DOI: 10.1109/tnnls.2018.2886341

Abstract: The number of component classifiers chosen for an ensemble greatly impacts the prediction ability. In this paper, we use a geometric framework for a priori determining the ensemble size, which is applicable to most of… read more here.

Keywords: number; ensemble size; less comprehensive; number components ... See more keywords

Ensemble Classifiers and Feature-Based Methods for Structural Damage Assessment

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recommendations! Published in 2020 at "Shock and Vibration"

DOI: 10.1155/2020/8899487

Abstract: In this paper, a new structural damage detection framework is proposed based on vibration analysis and pattern recognition, which consists of two stages: (1) signal processing and feature extraction and (2) damage detection by combining… read more here.

Keywords: damage detection; structural damage; ensemble classifiers; wavelet transform ... See more keywords