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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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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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Exploring the feasibility of smart phone microphone for measurement of acoustic voice parameters and voice pathology screening
The objective of this study is to evaluate the reliability of acoustic voice parameters obtained using smart phone (SP) microphones and investigate the utility of use of SP voice recordings for voiceExpand
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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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Electromyographic Patterns during Golf Swing: Activation Sequence Profiling and Prediction of Shot Effectiveness
TLDR
This study analyzes muscle activity, recorded in an eight-channel electromyographic (EMG) signal stream, during the golf swing using a 7-iron club and exploits information extracted from EMG dynamics to predict the success of the resulting shot. Expand
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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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