An empirical study of dynamic selection and random under-sampling for the class imbalance problem

The power of ensemble learning in sentiment analysis

(2021) Jacqueline Kazmaier et al.   EXPERT SYSTEMS WITH APPLICATIONS

The impact of class imbalance in classification performance metrics based on the binary confusion matrix

(2019) Amalia Luque et al.   PATTERN RECOGNITION

Dynamic classifier selection: Recent advances and perspectives

(2018) Rafael M.O. Cruz et al.   Information Fusion

Dynamic ensemble selection for multi-class imbalanced datasets

(2018) Salvador García et al.   INFORMATION SCIENCES

A study on combining dynamic selection and data preprocessing for imbalance learning

(2018) Anandarup Roy et al.   NEUROCOMPUTING

Improving the drug discovery process by using multiple classifier systems

(2018) David Ruano-Ordás et al.   EXPERT SYSTEMS WITH APPLICATIONS

Statistical comparison of classifiers through Bayesian hierarchical modelling

(2017) Giorgio Corani et al.   MACHINE LEARNING

A Survey of Predictive Modeling on Imbalanced Domains

(2016) Paula Branco et al.   ACM COMPUTING SURVEYS

Diversity techniques improve the performance of the best imbalance learning ensembles

(2015) José F. Díez-Pastor et al.   INFORMATION SCIENCES

META-DES: A dynamic ensemble selection framework using meta-learning

(2015) Rafael M.O. Cruz et al.   PATTERN RECOGNITION

Dynamic selection of classifiers—A comprehensive review

(2014) Alceu S. Britto et al.   PATTERN RECOGNITION

A survey of multiple classifier systems as hybrid systems

(2013) Michał Woźniak et al.   Information Fusion

A measure of competence based on random classification for dynamic ensemble selection

(2011) Tomasz Woloszynski et al.   Information Fusion

Dynamic selection approaches for multiple classifier systems

(2011) Paulo R. Cavalin et al.   NEURAL COMPUTING & APPLICATIONS

A probabilistic model of classifier competence for dynamic ensemble selection

(2011) Tomasz Woloszynski et al.   PATTERN RECOGNITION

A comparative assessment of ensemble learning for credit scoring

(2010) Gang Wang et al.   EXPERT SYSTEMS WITH APPLICATIONS

Multiple classifier application to credit risk assessment

(2009) Bhekisipho Twala   EXPERT SYSTEMS WITH APPLICATIONS

RUSBoost: A Hybrid Approach to Alleviating Class Imbalance

(2009) Chris Seiffert et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS

From dynamic classifier selection to dynamic ensemble selection

(2007) Albert H.R. Ko et al.   PATTERN RECOGNITION