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Mining data with random forests: A survey and results of new tests

Pattern recognition, 2011-02, Vol.44 (2), p.330-349

2011

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Towards emotion recognition for virtual environments: an evaluation of eeg features on benchmark dataset

Personal and ubiquitous computing, 2017-12, Vol.21 (6), p.1003-1013

2017

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Automated speech analysis applied to laryngeal disease categorization

Computer methods and programs in biomedicine, 2008-07, Vol.91 (1), p.36-47

2008

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A novel approach to estimate proximity in a random forest: An exploratory study

Expert systems with applications, 2012-12, Vol.39 (17), p.13046-13050

2012

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Feature selection with neural networks

Pattern recognition letters, 2002-09, Vol.23 (11), p.1323-1335

2002

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Assessing print quality by machine in offset colour printing

Knowledge-based systems, 2013-01, Vol.37, p.70-79

2013

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Phase congruency-based detection of circular objects applied to analysis of phytoplankton images

Pattern recognition, 2012-04, Vol.45 (4), p.1659-1670

2012

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A feature selection technique for generation of classification committees and its application to categorization of laryngeal images

Pattern recognition, 2009-05, Vol.42 (5), p.645-654

2009

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Increasing the discrimination power of the co-occurrence matrix-based features

Pattern recognition, 2007-09, Vol.40 (9), p.2367-2372

2007

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Data dependent random forest applied to screening for laryngeal disorders through analysis of sustained phonation: Acoustic versus contact microphone

Medical engineering & physics, 2015-02, Vol.37 (2), p.210-218

2015

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Random forests based monitoring of human larynx using questionnaire data

Expert systems with applications, 2012-04, Vol.39 (5), p.5506-5512

2012

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Automatic detection and morphological delineation of bacteriophages in electron microscopy images

Computers in biology and medicine, 2015-09, Vol.64, p.101-116

2015

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Using artificial neural networks for process and system modelling

Chemometrics and intelligent laboratory systems, 2003-08, Vol.67 (2), p.187-191

2003

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Towards a computer-aided diagnosis system for vocal cord diseases

Artificial intelligence in medicine, 2006, Vol.36 (1), p.71-84

2006

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Unsupervised colour image segmentation applied to printing quality assessment

Image and vision computing, 2005-04, Vol.23 (4), p.417-425

2005

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Selecting salient features for classification based on neural network committees

Pattern recognition letters, 2004-12, Vol.25 (16), p.1879-1891

2004

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Multi-resolution screening of paper formation variations on production line

Expert systems with applications, 2009-03, Vol.36 (2), p.3144-3152

2009

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Multiple feature sets based categorization of laryngeal images

Computer methods and programs in biomedicine, 2007-03, Vol.85 (3), p.257-266

2007

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Towards noninvasive screening for malignant tumours in human larynx

Medical engineering & physics, 2010-01, Vol.32 (1), p.83-89

2010

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Predictor output sensitivity and feature similarity-based feature selection

Fuzzy sets and systems, 2008-02, Vol.159 (4), p.422-434

2008

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Using the patient's questionnaire data to screen laryngeal disorders

Computers in biology and medicine, 2009-02, Vol.39 (2), p.148-155

2009

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A hybrid approach to outlier detection in the offset lithographic printing process

Engineering applications of artificial intelligence, 2005-09, Vol.18 (6), p.759-768

2005

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A novel approach to exploring company’s financial soundness: Investor’s perspective

Expert systems with applications, 2013-10, Vol.40 (13), p.5085-5092

2013

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A general framework for designing a fuzzy rule-based classifier

Knowledge and information systems, 2011-10, Vol.29 (1), p.203-221

2011

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A kernel-based approach to categorizing laryngeal images

Computerized medical imaging and graphics, 2007-12, Vol.31 (8), p.587-594

2007

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Mining data with random forests: A survey and results of new tests

Towards emotion recognition for virtual environments: an evaluation of eeg features on benchmark dataset

Automated speech analysis applied to laryngeal disease categorization

A novel approach to estimate proximity in a random forest: An exploratory study

Feature selection with neural networks

Assessing print quality by machine in offset colour printing

Phase congruency-based detection of circular objects applied to analysis of phytoplankton images

A feature selection technique for generation of classification committees and its application to categorization of laryngeal images

Increasing the discrimination power of the co-occurrence matrix-based features

Data dependent random forest applied to screening for laryngeal disorders through analysis of sustained phonation: Acoustic versus contact microphone

Random forests based monitoring of human larynx using questionnaire data

Automatic detection and morphological delineation of bacteriophages in electron microscopy images

Using artificial neural networks for process and system modelling

Towards a computer-aided diagnosis system for vocal cord diseases

Unsupervised colour image segmentation applied to printing quality assessment

Selecting salient features for classification based on neural network committees

Multi-resolution screening of paper formation variations on production line

Multiple feature sets based categorization of laryngeal images

Towards noninvasive screening for malignant tumours in human larynx

Predictor output sensitivity and feature similarity-based feature selection

Using the patient's questionnaire data to screen laryngeal disorders

A hybrid approach to outlier detection in the offset lithographic printing process

A novel approach to exploring company’s financial soundness: Investor’s perspective

A general framework for designing a fuzzy rule-based classifier

A kernel-based approach to categorizing laryngeal images

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