- Home
- Publications
- Publication Search
- Publication Details
Title
Cost-sensitive hierarchical classification for imbalance classes
Authors
Keywords
-
Journal
APPLIED INTELLIGENCE
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2020-03-04
DOI
10.1007/s10489-019-01624-z
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- 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
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started