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A two-stage clustering-based cold-start method for active learning

Authors : Hong Yu; Jie Li; Guoyin Wang

Subjects: Computer science; business.industry; Active learning (machine learning)

Source: Intelligent Data Analysis. 25:1169-1185

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MEGA: Predicting the best classifier combination using meta-learning and a genetic algorithm

Authors : Banafsheh Karimian; Fatemeh Karimkhani; Hossein Rahmani ...

Subjects: SELECTION; ENSEMBLES; Ensemble methods

Source: Intelligent Data Analysis, 25(6), 1547-1563. IOS Press

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Predictive modelling of hospital readmission: Evaluation of different preprocessing techniques on machine learning classifiers

Authors : Chee Seng Chan; Nor Hamizah Miswan; Chong Guan Ng

Subjects: Hospital readmission; Artificial Intelligence; business.industry

Source: Intelligent Data Analysis. 25:1073-1098

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Ensemble machine learning methods for spatio-temporal data analysis of plant and ratoon sugarcane

Authors : Rahul Dev Garg; Om Prakash Dubey; Sandeep Kumar Singla

Subjects: Artificial Intelligence; Computer science; business.industry

Source: Intelligent Data Analysis. 25:1291-1322

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Biogc: A novel framework for biological network classification via machine learning

Authors : Bentian Li; Dechang Pi; Izhar Ahmed Khan

Subjects: Artificial Intelligence; Computer science; business.industry

Source: Intelligent Data Analysis. 25:1153-1168

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Methods for detecting and correcting contextual data quality problems

Authors : Daouda Ahmat Mahamat; Sahalu B. Junaidu; Ibrahim A. Elgendy

Subjects: Computer science; business.industry; media_common.quotation_subject

Source: Intelligent Data Analysis. 25:763-787

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C_CART: An instance confidence-based decision tree algorithm for classification

Authors : Shuang Yu; Xiaoli Zhang; Hancheng Wang

Subjects: business.industry; Computer science; Decision tree learning

Source: Intelligent Data Analysis. 25:929-948

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Boosting meta-learning with simulated data complexity measures

Authors : André C. P. L. F. de Carvalho; Adriano Rivolli; Ana Carolina Lorena

Subjects: Boosting (machine learning); Computer science; business.industry

Source: Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)Universidade de São Paulo (USP)instacron:USP

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Bagging k-dependence Bayesian network classifiers

Authors : Limin Wang; Sikai Qi; Hua Lou

Subjects: business.industry; Bayesian network; 020206 networking & telecommunications

Source: Intelligent Data Analysis. 25:641-667

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Optimization of SMOTE for imbalanced data based on AdaRBFNN and hybrid metaheuristics

Authors : Zicheng Wang; Yanrui Sun

Subjects: business.industry; Computer science; 02 engineering and technology

Source: Intelligent Data Analysis. 25:541-554

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