Cost-sensitive hierarchical classification for imbalance classes

Hierarchical feature extraction based on discriminant analysis

(2019) Xinxin Liu et al.   APPLIED INTELLIGENCE

Deep super-class learning for long-tail distributed image classification

(2018) Yucan Zhou et al.   PATTERN RECOGNITION

A regularized ensemble framework of deep learning for cancer detection from multi-class, imbalanced training data

(2018) Xiaohui Yuan et al.   PATTERN RECOGNITION

Adaptive Learning-Based k-Nearest Neighbor Classifiers With Resilience to Class Imbalance

(2018) Sankha Subhra Mullick et al.   IEEE Transactions on Neural Networks and Learning Systems

Hierarchical feature selection with subtree based graph regularization

(2018) Qianjuan Tuo et al.   KNOWLEDGE-BASED SYSTEMS

Joint Hierarchical Category Structure Learning and Large-Scale Image Classification

(2017) Yanyun Qu et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Cost-Sensitive Learning of Deep Feature Representations From Imbalanced Data

(2017) Salman H. Khan et al.   IEEE Transactions on Neural Networks and Learning Systems

Protein Folds Prediction with Hierarchical Structured SVM

(2016) Dapeng Li et al.   Current Proteomics

An Improved Protein Structural Classes Prediction Method by Incorporating Both Sequence and Structure Information

(2015) Leyi Wei et al.   IEEE TRANSACTIONS ON NANOBIOSCIENCE

Cost-sensitive learning of hierarchical tree classifiers for large-scale image classification and novel category detection

(2015) Jianping Fan et al.   PATTERN RECOGNITION

Hierarchical Bayesian Inference and Recursive Regularization for Large-Scale Classification

(2015) Siddharth Gopal et al.   ACM Transactions on Knowledge Discovery from Data

Cost-sensitive decision tree ensembles for effective imbalanced classification

(2013) Bartosz Krawczyk et al.   APPLIED SOFT COMPUTING

Learning from Imbalanced Data

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

Exploratory Undersampling for Class-Imbalance Learning

(2008) Xu-Ying Liu et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS

A weighted rough set based method developed for class imbalance learning

(2007) J LIU et al.   INFORMATION SCIENCES