Kernel-based dynamic ensemble approach for classifying imbalanced data with overlapping classes. [PDF]
Abokadr S +3 more
europepmc +1 more source
Estimation of liquefaction-induced settlement of shallow foundation by machine learning with imbalanced data. [PDF]
Sargin S +4 more
europepmc +1 more source
Optimal selection of resampling methods for imbalanced data with high complexity. [PDF]
Kim A, Jung I.
europepmc +1 more source
Effective Invasiveness Recognition of Imbalanced Data by Semi-Automated Segmentations of Lung Nodules. [PDF]
Tung YC +11 more
europepmc +1 more source
PET-TURTLE: Deep Unsupervised Support Vector Machines for Imbalanced Data Clusters. [PDF]
Salazar Cavazos J.
europepmc +1 more source
Enhancing Model Generalizability in Medical Artificial Intelligence: Systematic Comparison of Categorical Encoding and Sampling Techniques for Imbalanced Data. [PDF]
Chuang CW +4 more
europepmc +1 more source
Predicting asthma using imbalanced data modeling techniques: Evidence from 2019 Michigan BRFSS data. [PDF]
Budhathoki N +3 more
europepmc +1 more source
Risk-Sensitive Machine Learning for Financial Decision Modeling Under Imbalanced Data: Evidence from Bank Telemarketing. [PDF]
Dong B +8 more
europepmc +1 more source
Machine Learning-Based Screening for Potential Singlet Fission Chromophores: The Challenge of Imbalanced Data Sets. [PDF]
Borislavov L +4 more
europepmc +1 more source
Predicting cardiovascular diseases using imbalanced data: An XGBoost-based analysis of the 2022 BRFSS dataset. [PDF]
Imani M +8 more
europepmc +1 more source

