Optimizing shapelets quality measure for imbalanced time series classification

Entropy based fuzzy least squares twin support vector machine for class imbalance learning

(2018) Deepak Gupta et al.   APPLIED INTELLIGENCE

A simple plug-in bagging ensemble based on threshold-moving for classifying binary and multiclass imbalanced data

(2018) Guillem Collell et al.   NEUROCOMPUTING

Time Series Classification with HIVE-COTE

(2018) Jason Lines et al.   ACM Transactions on Knowledge Discovery from Data

Noise Reduction A Priori Synthetic Over-Sampling for class imbalanced data sets

(2017) William A. Rivera   INFORMATION SCIENCES

GIR-based ensemble sampling approaches for imbalanced learning

(2017) Bo Tang et al.   PATTERN RECOGNITION

Synthetic minority oversampling technique for multiclass imbalance problems

(2017) Tuanfei Zhu et al.   PATTERN RECOGNITION

A Proposal for Local $k$ Values for $k$ -Nearest Neighbor Rule

(2017) Nicolas Garcia-Pedrajas et al.   IEEE Transactions on Neural Networks and Learning Systems

A Noise-Filtered Under-Sampling Scheme for Imbalanced Classification

(2017) Qi Kang et al.   IEEE Transactions on Cybernetics

A Parsimonious Mixture of Gaussian Trees Model for Oversampling in Imbalanced and Multimodal Time-Series Classification

(2014) Hong Cao et al.   IEEE Transactions on Neural Networks and Learning Systems

Integrated Oversampling for Imbalanced Time Series Classification

(2013) Hong Cao et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

A time series forest for classification and feature extraction

(2013) Houtao Deng et al.   INFORMATION SCIENCES

Time series shapelets: a novel technique that allows accurate, interpretable and fast classification

(2010) Lexiang Ye et al.   DATA MINING AND KNOWLEDGE DISCOVERY