相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。DEEPStack-RBP: Accurate identification of RNA-binding proteins based on autoencoder feature selection and deep stacking ensemble classifier
Qinqin Wei et al.
KNOWLEDGE-BASED SYSTEMS (2022)
Ensemble of deep learning models with surrogate-based optimization for medical image segmentation
Truong Dang et al.
2022 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC) (2022)
Ensemble Selection based on Classifier Prediction Confidence
Tien Thanh Nguyen et al.
PATTERN RECOGNITION (2020)
Evolving interval-based representation for multiple classifier fusion
Tien Thanh Nguyen et al.
KNOWLEDGE-BASED SYSTEMS (2020)
Multi-layer Heterogeneous Ensemble with Classifier and Feature Selection
Tien Thanh Nguyen et al.
GECCO'20: PROCEEDINGS OF THE 2020 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE (2020)
Variable-Length Particle Swarm Optimization for Feature Selection on High-Dimensional Classification
Binh Tran et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2019)
Stacking-based ensemble learning of decision trees for interpretable prostate cancer detection
Yuyan Wang et al.
APPLIED SOFT COMPUTING (2019)
A weighted multiple classifier framework based on random projection
Tien Thanh Nguyen et al.
INFORMATION SCIENCES (2019)
A deep forest classifier with weights of class probability distribution subsets
Lev V. Utkin et al.
KNOWLEDGE-BASED SYSTEMS (2019)
Combining heterogeneous classifiers via granular prototypes
Tien Thanh Nguyen et al.
APPLIED SOFT COMPUTING (2018)
A multi-level approach using genetic algorithms in an ensemble of Least Squares Support Vector Machines
Carlos Alberto de Araujo Padilhaa et al.
KNOWLEDGE-BASED SYSTEMS (2016)
When Ensemble Learning Meets Deep Learning: a New Deep Support Vector Machine for Classification
Zhiquan Qi et al.
KNOWLEDGE-BASED SYSTEMS (2016)
Heterogeneous Ensemble Combination Search Using Genetic Algorithm for Class Imbalanced Data Classification
Mohammad Nazmul Haque et al.
PLOS ONE (2016)
A new ensemble learning methodology based on hybridization of classifier ensemble selection approaches
R. Mousavi et al.
APPLIED SOFT COMPUTING (2015)
Can-Evo-Ens: Classifier stacking based evolutionary ensemble system for prediction of human breast cancer using amino acid sequences
Safdar Ali et al.
JOURNAL OF BIOMEDICAL INFORMATICS (2015)
Deep learning of support vector machines with class probability output networks
Sangwook Kim et al.
NEURAL NETWORKS (2015)
Classifier Subset Selection to construct multi-classifiers by means of estimation of distribution algorithms
Inigo Mendialdua et al.
NEUROCOMPUTING (2015)
Heterogeneous comprehensive learning particle swarm optimization with enhanced exploration and exploitation
Nandar Lynn et al.
SWARM AND EVOLUTIONARY COMPUTATION (2015)
An evolutionary algorithm approach to optimal ensemble classifiers for DNA microarray data analysis
Kyung-Joong Kim et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2008)
Classifier ensemble selection using hybrid genetic algorithms
Young-Won Kim et al.
PATTERN RECOGNITION LETTERS (2008)
RotBoost: A technique for combining Rotation Forest and AdaBoost
Chun-Xia Zhang et al.
PATTERN RECOGNITION LETTERS (2008)
Rotation forest:: A new classifier ensemble method
Juan J. Rodriguez et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2006)
Comprehensive learning particle swarm optimizer for global optimization of multimodal functions
J. J. Liang et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2006)
Classification by evolutionary ensembles
X Wang et al.
PATTERN RECOGNITION (2006)
分享论文
