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نمایش تعداد 1-10 از 14

Weighted one-class classification for different types of minority class examples in imbalanced data

نوع: Conference Paper

نویسنده : Krawczyk, Bartosz; Wozniak, Michal; Herrera, Francisco

ناشر: IEEE

سال: 2014

IVTURS: A Linguistic Fuzzy Rule-Based Classification System Based On a New Interval-Valued Fuzzy Reasoning Method With Tuning and Rule Selection

نوع: Journal Paper

نویسنده : Sanz, Jose Antonio; Fernandez, Alberto; Bustince, Humberto; Herrera, Francisco

ناشر: IEEE

سال: 2013

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Eusboost: Enhancing Ensembles for Highly Imbalanced Data-sets by Evolutionary Undersampling

نوع: Journal Paper

نویسنده : Galar, Mikel; FernÃ¡ndez, Alberto; Barrenechea, Edurne; Herrera, Francisco

ناشر: Elsevier Science

سال: 2013

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A New Multiobjective Evolutionary Algorithm for Mining a Reduced Set of Interesting Positive and Negative Quantitative Association Rules

نوع: Journal Paper

نویسنده : Martin, Daniel; Rosete, Alejandro; Alcala-Fdez, Jess; Herrera, Francisco

ناشر: IEEE

سال: 2014

A High Performance Fingerprint Matching System for Large Databases Based on GPU

نوع: Journal Paper

نویسنده : Gutierrez, Pablo David; Lastra, Miguel; Herrera, Francisco; Benitez, Jose Manuel

ناشر: IEEE

سال: 2014

A Review of the Application of Multiobjective Evolutionary Fuzzy Systems: Current Status and Further Directions

نوع: Journal Paper

نویسنده : Fazzolari, Michela; Alcala, Rafael; Nojima, Yusuke; Ishibuchi, Hisao; Herrera, Francisco

سال: 2013

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Computing with Words in Decision support Systems: An overview on Models and Applications

نوع: Journal Paper

نویسنده : MartÃnez, Luis; Ruan, Da; Herrera, Francisco

سال: 2010

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[Advances in Intelligent Systems and Computing] 7th International Conference on Knowledge Management in Organizations: Service and Cloud Computing Volume 172 || Cloud-IO: Cloud Computing Platform for the Fast Deployment of Services over Wireless Sensor Networks

نوع: Journal Paper

سال: 2013

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A study on the application of instance selection techniques in genetic fuzzy rule-based classification systems: Accuracy-complexity trade-off

نوع: Journal Paper

نویسنده : Fazzolari, Michela; Giglio, Bruno; AlcalÃ¡, Rafael; Marcelloni, Francesco; Herrera, Francisco

ناشر: Elsevier Science

سال: 2013

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LI-MLC: A Label Inference Methodology for Addressing High Dimensionality in the Label Space for Multilabel Classification

نوع: Journal Paper

نویسنده : Charte, Francisco; Rivera, Antonio J.; del Jesus, Maria J.; Herrera, Francisco

ناشر: IEEE

سال: 2014

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Weighted one-class classification for different types of minority class examples in imbalanced data

IVTURS: A Linguistic Fuzzy Rule-Based Classification System Based On a New Interval-Valued Fuzzy Reasoning Method With Tuning and Rule Selection

Eusboost: Enhancing Ensembles for Highly Imbalanced Data-sets by Evolutionary Undersampling

A New Multiobjective Evolutionary Algorithm for Mining a Reduced Set of Interesting Positive and Negative Quantitative Association Rules

A High Performance Fingerprint Matching System for Large Databases Based on GPU

A Review of the Application of Multiobjective Evolutionary Fuzzy Systems: Current Status and Further Directions

Computing with Words in Decision support Systems: An overview on Models and Applications

[Advances in Intelligent Systems and Computing] 7th International Conference on Knowledge Management in Organizations: Service and Cloud Computing Volume 172 || Cloud-IO: Cloud Computing Platform for the Fast Deployment of Services over Wireless Sensor Networks

A study on the application of instance selection techniques in genetic fuzzy rule-based classification systems: Accuracy-complexity trade-off

LI-MLC: A Label Inference Methodology for Addressing High Dimensionality in the Label Space for Multilabel Classification

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Weighted one-class classification for different types of minority class examples in imbalanced data

IVTURS: A Linguistic Fuzzy Rule-Based Classification System Based On a New Interval-Valued Fuzzy Reasoning Method With Tuning and Rule Selection

Eusboost: Enhancing Ensembles for Highly Imbalanced Data-sets by Evolutionary Undersampling

A New Multiobjective Evolutionary Algorithm for Mining a Reduced Set of Interesting Positive and Negative Quantitative Association Rules

A High Performance Fingerprint Matching System for Large Databases Based on GPU

A Review of the Application of Multiobjective Evolutionary Fuzzy Systems: Current Status and Further Directions

Computing with Words in Decision support Systems: An overview on Models and Applications

[Advances in Intelligent Systems and Computing] 7th International Conference on Knowledge Management in Organizations: Service and Cloud Computing Volume 172 || Cloud-IO: Cloud Computing Platform for the Fast Deployment of Services over Wireless Sensor Networks

A study on the application of instance selection techniques in genetic fuzzy rule-based classification systems: Accuracy-complexity trade-off

LI-MLC: A Label Inference Methodology for Addressing High Dimensionality in the Label Space for Multilabel Classification