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Mining data with random forests: A survey and results of new tests
TLDR
Random forests (RF) has become a popular technique for classification, prediction, studying variable importance, variable selection, and outlier detection. Expand
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Feature selection with neural networks
TLDR
We present a neural network based approach for identifying salient features for classification in feedforward neural networks with an augmented cross-entropy error function. Expand
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Soft combination of neural classifiers: A comparative study
TLDR
This paper presents four schemes for soft fusion of the outputs of multiple classifiers. Expand
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Hybrid and ensemble-based soft computing techniques in bankruptcy prediction: a survey
TLDR
This paper presents a comprehensive review of hybrid and ensemble-based soft computing techniques applied to bankruptcy prediction. Expand
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Automated speech analysis applied to laryngeal disease categorization
TLDR
The long-term goal of the work is a decision support system for diagnostics of laryngeal diseases. Expand
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A general framework for designing a fuzzy rule-based classifier
This paper presents a general framework for designing a fuzzy rule-based classifier. Structure and parameters of the classifier are evolved through a two-stage genetic search. To reduce the searchExpand
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Advances in laryngeal imaging
Imaging and image analysis became an important issue in laryngeal diagnostics. Various techniques, such as videostroboscopy, videokymography, digital kymograpgy, or ultrasonography are available andExpand
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A feature selection technique for generation of classification committees and its application to categorization of laryngeal images
TLDR
This paper is concerned with a two phase procedure to select salient features (variables) for classification committees. Expand
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Random forests based monitoring of human larynx using questionnaire data
TLDR
This paper is concerned with soft computing techniques-based noninvasive monitoring of human larynx using subject's questionnaire data. Expand
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Towards a computer-aided diagnosis system for vocal cord diseases
TLDR
A computer-aided decision support system for automated analysis of vocal cord images aiming to categorize diseases of vocal cords. Expand
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