Related references
Note: Only part of the references are listed.Robust Dynamic Multi-Objective Vehicle Routing Optimization Method
Yi-Nan Guo et al.
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS (2018)
Evolving Deep Convolutional Neural Networks by Variable-length Particle Swarm Optimization for Image Classification
Bin Wang et al.
2018 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC) (2018)
A new approach for internet traffic classification: GA-WK-ELM
Fatih Ertam et al.
MEASUREMENT (2017)
Class-specific cost regulation extreme learning machine for imbalanced classification
Wendong Xiao et al.
NEUROCOMPUTING (2017)
An Improved Weighted ELM with Krill Herd Algorithm for Imbalanced Learning
Yi-nan Guo et al.
ADVANCES IN SWARM INTELLIGENCE, ICSI 2017, PT II (2017)
Incremental laplacian regularization extreme learning machine for online learning
Lixia Yang et al.
APPLIED SOFT COMPUTING (2017)
ODOC-ELM: Optimal decision outputs compensation-based extreme learning machine for classifying imbalanced data
Hualong Yu et al.
KNOWLEDGE-BASED SYSTEMS (2016)
Mixed-kernel based weighted extreme learning machine for inertial sensor based human activity recognition with imbalanced dataset
Donghui Wu et al.
NEUROCOMPUTING (2016)
Ensemble of subset online sequential extreme learning machine for class imbalance and concept drift
Bilal Mirza et al.
NEUROCOMPUTING (2015)
A review of boosting methods for imbalanced data classification
Qiujie Li et al.
PATTERN ANALYSIS AND APPLICATIONS (2014)
Semi-Supervised and Unsupervised Extreme Learning Machines
Gao Huang et al.
IEEE TRANSACTIONS ON CYBERNETICS (2014)
Weighted Online Sequential Extreme Learning Machine for Class Imbalance Learning
Bilal Mirza et al.
NEURAL PROCESSING LETTERS (2013)
Weighted extreme learning machine for imbalance learning
Weiwei Zong et al.
NEUROCOMPUTING (2013)
An improved evolutionary extreme learning machine based on particle swarm optimization
Fei Han et al.
NEUROCOMPUTING (2013)
Extreme Learning Machine for Regression and Multiclass Classification
Guang-Bin Huang et al.
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS (2012)
SMOTE-RSB*: a hybrid preprocessing approach based on oversampling and undersampling for high imbalanced data-sets using SMOTE and rough sets theory
Enislay Ramentol et al.
KNOWLEDGE AND INFORMATION SYSTEMS (2012)
Online sequential extreme learning machine with forgetting mechanism
Jianwei Zhao et al.
NEUROCOMPUTING (2012)
A combined SMOTE and PSO based RBF classifier for two-class imbalanced problems
Ming Gao et al.
NEUROCOMPUTING (2011)
Exploratory Undersampling for Class-Imbalance Learning
Xu-Ying Liu et al.
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS (2009)
Online Sequential Fuzzy Extreme Learning Machine for Function Approximation and Classification Problems
Hai-Jun Rong et al.
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS (2009)
KBA: Kernel boundary alignment considering imbalanced data distribution
G Wu et al.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2005)
Share Paper
