SMOTE-NaN-DE: Addressing the noisy and borderline examples problem in imbalanced classification by natural neighbors and differential evolution

A parameter-free hybrid instance selection algorithm based on local sets with natural neighbors

(2020) Junnan Li et al.   APPLIED INTELLIGENCE

Dynamic imbalanced business credit evaluation based on Learn++ with sliding time window and weight sampling and FCM with multiple kernels

(2020) Lu Wang et al.   INFORMATION SCIENCES

Handling Imbalanced Medical Image Data: A Deep-Learning-Based One-Class Classification Approach

(2020) Long Gao et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

ASRNN: A recurrent neural network with an attention model for sequence labeling

(2020) Jerry Chun-Wei Lin et al.   KNOWLEDGE-BASED SYSTEMS

SMOTE based class-specific extreme learning machine for imbalanced learning

(2019) Bhagat Singh Raghuwanshi et al.   KNOWLEDGE-BASED SYSTEMS

A Comprehensive Analysis of Synthetic Minority Oversampling Technique (SMOTE) for handling class imbalance

(2019) Dina Elreedy et al.   INFORMATION SCIENCES

Learning imbalanced datasets based on SMOTE and Gaussian distribution

(2019) Tingting Pan et al.   INFORMATION SCIENCES

Natural neighborhood graph-based instance reduction algorithm without parameters

(2018) Lijun Yang et al.   APPLIED SOFT COMPUTING

A Highly Accurate Framework for Self-Labeled Semisupervised Classification in Industrial Applications

(2018) Di Wu et al.   IEEE Transactions on Industrial Informatics

Improving imbalanced learning through a heuristic oversampling method based on k-means and SMOTE

(2018) Georgios Douzas et al.   INFORMATION SCIENCES

Imbalanced text sentiment classification using universal and domain-specific knowledge

(2018) Yijing Li et al.   KNOWLEDGE-BASED SYSTEMS

Natural neighbor-based clustering algorithm with local representatives

(2017) Dongdong Cheng et al.   KNOWLEDGE-BASED SYSTEMS

A non-parameter outlier detection algorithm based on Natural Neighbor

(2016) Jinlong Huang et al.   KNOWLEDGE-BASED SYSTEMS

Natural neighbor: A self-adaptive neighborhood method without parameter K

(2016) Qingsheng Zhu et al.   PATTERN RECOGNITION LETTERS

A hybrid classifier combining Borderline-SMOTE with AIRS algorithm for estimating brain metastasis from lung cancer: A case study in Taiwan

(2015) Kung-Jeng Wang et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

SMOTE–IPF: Addressing the noisy and borderline examples problem in imbalanced classification by a re-sampling method with filtering

(2015) José A. Sáez et al.   INFORMATION SCIENCES

Preprocessing noisy imbalanced datasets using SMOTE enhanced with fuzzy rough prototype selection

(2014) Nele Verbiest et al.   APPLIED SOFT COMPUTING

LVQ-SMOTE – Learning Vector Quantization based Synthetic Minority Over–sampling Technique for biomedical data

(2013) Munehiro Nakamura et al.   BioData Mining

Learning from Imbalanced Data

(2009) Haibo He et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING