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Refinado por: Nome da Publicação: Expert Systems With Applications remover assunto: Maschinelles Lernen remover
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A comparison of random forest variable selection methods for classification prediction modeling
A comparison of random forest variable selection methods for classification prediction modeling
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A comparison of random forest variable selection methods for classification prediction modeling

Speiser, Jaime Lynn ; Miller, Michael E. ; Tooze, Janet ; Ip, Edward

Expert systems with applications, 2019-11, Vol.134, p.93-101 [Periódico revisado por pares]

New York: Elsevier Ltd

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2
Learning from class-imbalanced data: Review of methods and applications
Learning from class-imbalanced data: Review of methods and applications
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Learning from class-imbalanced data: Review of methods and applications

Haixiang, Guo ; Yijing, Li ; Shang, Jennifer ; Mingyun, Gu ; Yuanyue, Huang ; Bing, Gong

Expert systems with applications, 2017-05, Vol.73, p.220-239 [Periódico revisado por pares]

Elsevier Ltd

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3
Computational Intelligence and Financial Markets: A Survey and Future Directions
Computational Intelligence and Financial Markets: A Survey and Future Directions
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Computational Intelligence and Financial Markets: A Survey and Future Directions

Cavalcante, Rodolfo C. ; Brasileiro, Rodrigo C. ; Souza, Victor L.F. ; Nobrega, Jarley P. ; Oliveira, Adriano L.I.

Expert systems with applications, 2016-08, Vol.55, p.194-211 [Periódico revisado por pares]

Elsevier Ltd

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4
The impact of microblogging data for stock market prediction: Using Twitter to predict returns, volatility, trading volume and survey sentiment indices
The impact of microblogging data for stock market prediction: Using Twitter to predict returns, volatility, trading volume and survey sentiment indices
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The impact of microblogging data for stock market prediction: Using Twitter to predict returns, volatility, trading volume and survey sentiment indices

Oliveira, Nuno ; Cortez, Paulo ; Areal, Nelson

Expert systems with applications, 2017-05, Vol.73, p.125-144 [Periódico revisado por pares]

New York: Elsevier Ltd

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5
A comparative study of machine learning classifiers for modeling travel mode choice
A comparative study of machine learning classifiers for modeling travel mode choice
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A comparative study of machine learning classifiers for modeling travel mode choice

Hagenauer, Julian ; Helbich, Marco

Expert systems with applications, 2017-07, Vol.78, p.273-282 [Periódico revisado por pares]

New York: Elsevier Ltd

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6
Machine learning models and bankruptcy prediction
Machine learning models and bankruptcy prediction
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Machine learning models and bankruptcy prediction

Barboza, Flavio ; Kimura, Herbert ; Altman, Edward

Expert systems with applications, 2017-10, Vol.83, p.405-417 [Periódico revisado por pares]

New York: Elsevier Ltd

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7
Literature review: Machine learning techniques applied to financial market prediction
Literature review: Machine learning techniques applied to financial market prediction
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Literature review: Machine learning techniques applied to financial market prediction

Henrique, Bruno Miranda ; Sobreiro, Vinicius Amorim ; Kimura, Herbert

Expert systems with applications, 2019-06, Vol.124, p.226-251 [Periódico revisado por pares]

New York: Elsevier Ltd

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8
Classification of sentiment reviews using n-gram machine learning approach
Classification of sentiment reviews using n-gram machine learning approach
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Classification of sentiment reviews using n-gram machine learning approach

Tripathy, Abinash ; Agrawal, Ankit ; Rath, Santanu Kumar

Expert systems with applications, 2016-09, Vol.57, p.117-126 [Periódico revisado por pares]

Elsevier Ltd

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9
Fuzzy rule based unsupervised sentiment analysis from social media posts
Fuzzy rule based unsupervised sentiment analysis from social media posts
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Fuzzy rule based unsupervised sentiment analysis from social media posts

Vashishtha, Srishti ; Susan, Seba

Expert systems with applications, 2019-12, Vol.138, p.112834, Article 112834 [Periódico revisado por pares]

New York: Elsevier Ltd

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10
A text classification framework for simple and effective early depression detection over social media streams
A text classification framework for simple and effective early depression detection over social media streams
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A text classification framework for simple and effective early depression detection over social media streams

Burdisso, Sergio G. ; Errecalde, Marcelo ; Montes-y-Gómez, Manuel

Expert systems with applications, 2019-11, Vol.133, p.182-197 [Periódico revisado por pares]

New York: Elsevier Ltd

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