Inter-class and intra-class imbalances

Results 1 to 10 of about 3,109 (176)

Handling Inter-class and Intra-class Imbalance in Class-imbalanced Learning

CoRR, 2021
15 pages, 4 tables, 12 ...
Liu, Zhining +7 more
openaire +4 more sources

An Adaptive and Robust Method for Oriented Oversampling With Spatial Information for Imbalanced Noisy Datasets

IEEE Access, 2023
Imbalanced datasets have a large negative impact on the classifiers, biasing the classification results towards the majority class. Since imbalanced data distribution is an inevitable and significant challenge in the real world, many variants of SMOTE ...
Yi Deng, Mingyong Li
doaj +1 more source

Normalization-Guided and Gradient-Weighted Unsupervised Domain Adaptation Network for Transfer Diagnosis of Rolling Bearing Faults Under Class Imbalance

Actuators
Transfer learning has garnered significant interest in the field of bearing fault diagnosis under varying operational conditions due to its robust generalization capabilities. However, real-world diagnostic scenarios frequently encounter data imbalances,
Hao Luo, Xinyue Wang, Li Zhang
doaj +1 more source

Double-layer stacking optimization for electricity theft detection considering data incompleteness and intra-class imbalance

International Journal of Electrical Power & Energy Systems
Electricity theft detection is crucial for reducing non-technical losses in electric power enterprises and ensuring fairness in electric power transactions. However, challenges such as incomplete data, a scarcity of electricity theft samples, and limited
Leijiao Ge, Jingjing Li, Tianshuo Du, Luyang Hou +3 more
doaj +1 more source

Adaptive diagnosis method based on gearbox unbalanced fault data

Jixie chuandong
ObjectiveThe existing intelligent fault diagnosis methods face challenges, such as model training relying on a large amount of labeled data, difficulty in obtaining fault data with different occurrence probabilities, and insufficient consideration of the
TIAN Juan, XIE Gang, ZHANG Shun, WANG Yufei +3 more
doaj +2 more sources

A Two-Stage Contrastive Learning Framework Grounded in Label-Specific Features for Low-Frequency Labels in Chest X-Ray Multi-Label Classification. [PDF]

Bioengineering (Basel)
Tang S, Huang M, Feng Q.
europepmc +1 more source

AI-based computer vision as an adjunct tool for CVS documentation in laparoscopic cholecystectomy. [PDF]

Surg Endosc
Dayan D, Ortenzi M, Nizri E.
europepmc +1 more source

Hypergraph-based contrastive embedding and attention fusion for detection of skin cancer. [PDF]

Sci Rep
Banerjee T +5 more
europepmc +1 more source

Regional disparities, dynamic evolution, and convergence of China's resident health service development levels. [PDF]

BMC Health Serv Res
Shao X, Wu Z.
europepmc +1 more source

Phenotype driven data augmentation methods for transcriptomic data. [PDF]

Bioinform Adv
Janakarajan N, Graziani M, Rodríguez Martínez M. +2 more
europepmc +1 more source

fault diagnosis