Get started
Keyword

dynamic ensemble selection

Description: A machine-learning method that selects or weights ensemble classifiers for individual predictions according to their estimated local competence.
OpenAlex ID: keywords/dynamic-ensemble-selection
From dynamic classifier selection to dynamic ensemble selection
2007 · Albert H.R. Ko, Robert Sabourin, et al. · Pattern Recognition · 445
META-DES: A dynamic ensemble selection framework using meta-learning
2014 · Rafael M.O. Cruz, Robert Sabourin, et al. · Pattern Recognition · 252
PDF
A probabilistic model of classifier competence for dynamic ensemble selection
2011 · Tomasz Woloszynski, Marek Kurzynski · Pattern Recognition · 186
Dynamic ensemble selection for multi-class imbalanced datasets
2018 · Salvador García, Zhong-Liang Zhang, et al. · Information Sciences · 181
A dynamic overproduce-and-choose strategy for the selection of classifier ensembles
2008 · Eulanda M. Dos Santos, Robert Sabourin, et al. · Pattern Recognition · 152
A measure of competence based on random classification for dynamic ensemble selection
2011 · Tomasz Woloszynski, Marek Kurzynski, et al. · Information Fusion · 129
Dynamic classifier ensemble model for customer classification with imbalanced class distribution
2011 · Jin Xiao, Ling Xie, et al. · Expert Systems with Applications · 125
A study on combining dynamic selection and data preprocessing for imbalance learning
2018 · Anandarup Roy, Rafael M.O. Cruz, et al. · Neurocomputing · 113
A novel tree-based dynamic heterogeneous ensemble method for credit scoring
2020 · Yufei Xia, Junhao Zhao, et al. · Expert Systems with Applications · 109
Preprocessed dynamic classifier ensemble selection for highly imbalanced drifted data streams
2020 · Paweł Zyblewski, Robert Sabourin, et al. · Information Fusion · 107
A novel dynamic ensemble selection classifier for an imbalanced data set: An application for credit risk assessment
2020 · Wen-hui Hou, Xiao-kang Wang, et al. · Knowledge-Based Systems · 97
META-DES.Oracle: Meta-learning and feature selection for dynamic ensemble selection
2017 · Rafael M.O. Cruz, Robert Sabourin, et al. · Information Fusion · 90
PDF
Optimal selection of ensemble classifiers using measures of competence and diversity of base classifiers
2013 · Rafal Lysiak, Marek Kurzynski, et al. · Neurocomputing · 90
A framework for cardiac arrhythmia detection from IoT-based ECGs
2020 · Jinyuan He, Jia Rong, et al. · World Wide Web · 88
PDF
DESlib: A Dynamic ensemble selection library in Python
2018 · Cruz, Rafael M. O., Hafemann, Luiz G., et al. · arXiv (Cornell University) · 81
PDF
Dynamic ensemble selection for multi-class classification with one-class classifiers
2018 · Bartosz Krawczyk, Mikel Galar, et al. · Pattern Recognition · 80
Online pruning of base classifiers for Dynamic Ensemble Selection
2017 · Dayvid V.R. Oliveira, George D.C. Cavalcanti, et al. · Pattern Recognition · 71
A new ensemble learning methodology based on hybridization of classifier ensemble selection approaches
2015 · R. Mousavi, M. Eftekhari · Applied Soft Computing · 71
Detecting financial statement fraud using dynamic ensemble machine learning
2023 · Muhammad Atif Khan Achakzai, Juan Peng · International Review of Financial Analysis · 70
Exploring Early Prediction of Chronic Kidney Disease Using Machine Learning Algorithms for Small and Imbalanced Datasets
2022 · Andressa C. M. da Silveira, Álvaro Sobrinho, et al. · Applied Sciences · 70
PDF
Dynamic ensemble learning for multi-label classification
2022 · Xiaoyan Zhu, Jiaxuan Li, et al. · Information Sciences · 68
SMOTE–ENN-Based Data Sampling and Improved Dynamic Ensemble Selection for Imbalanced Medical Data Classification
2020 · Mouna Lamari, Nabiha Azizi, et al. · Advances in intelligent systems and computing · 62
FIRE-DES++: Enhanced online pruning of base classifiers for dynamic ensemble selection
2018 · Rafael M.O. Cruz, Dayvid V.R. Oliveira, et al. · Pattern Recognition · 59
PDF
Dynamic ensemble selection for quantification tasks
2018 · Pablo Pérez-Gállego, Alberto Castaño, et al. · Information Fusion · 56
META-DES.Oracle
2017 · Rafael M. O. Cruz, Robert Sabourin, et al. · arXiv (Cornell University) · 50
Works count: 301
Citation count: 4,862
Year
Topic
Type