Results 61 to 70 of about 36,115 (166)

DPC-SMOTE Over-sampling Algorithm for Imbalanced Data Classification

Journal of Harbin University of Science and Technology
An oversampling algorithm based on density peak clustering is proposed to solve the problem of noise and imbalance among classes in imbalanced data sets.
LIU Zhihan, ZHANG Zhonglin, ZHAO Lei
doaj   +1 more source

An oversampling-undersampling strategy for large-scale data linkage

Frontiers in Big Data
Effective record linkage in big data, particularly in imbalanced datasets, is a critical yet highly challenging task due to the inherent complexity involved.
Hossein Hassani, Mohammad Reza Entezarian, Sara Zaeimzadeh, Leila Marvian, Nadejda Komendantova   +4 more
doaj   +1 more source

Newton’s Cooling Law-Based Oversampling Technique for Handling Imbalanced Data in Software Defect Prediction

IEEE Access
Class imbalance presents considerable challenges for software defect prediction. However, software defect datasets exhibit additional complex characteristics, with class overlap being the most harmful to prediction performance. Currently, most techniques
Faqiang Wang, Liangliang Tao, Yage Liang, Lilin Zhang, Tianyu Luo   +4 more
doaj   +1 more source

Oversampling A/D And D/A Converters

, 1998
Publication in the conference proceedings of EUSIPCO, Rhodes, Greece ...
openaire   +2 more sources

A novel generative oversampling for software defect prediction. [PDF]

Sci Rep
Goyal SR.
europepmc   +1 more source

Developing SHAP interpretable machine learning models for assessing biopsychosocial risk in female drug users: a small sample study. [PDF]

Front Psychiatry
Wang X, Gao M, Gao J, Geng F, Yuan X, Cheng X, Xing Q, Ming Y, Zhu G, Shi H, Wang P.   +10 more
europepmc   +1 more source

A synthetic oversampling-based customized ResNet51-Conv1D framework for early colorectal cancer prediction using structured clinical data from the PLCO screening trial. [PDF]

BMC Med Inform Decis Mak
Prasath ST, Asha MM, Nagarajan B, Yesuraj R, Prathapchandran K, Sreeraman Y.   +5 more
europepmc   +1 more source

mRNALocator-imb: an imbalance-tolerant ensemble framework integrating random forest and transformer for mRNA subcellular localization prediction. [PDF]

Front Genet
Hu J, Liu H, Wang L, Wu H.
europepmc   +1 more source

Advancing Gastrointestinal Cancer Risk Prediction With Patient-Centered Machine Learning: Machine Learning Modeling Study. [PDF]

JMIR Med Inform
Baublyte D, Lee J, Gunathilake M, Kim J.
europepmc   +1 more source

Artificial intelligence improves risk stratification for breast cancer recurrence and mortality in women exposed to pesticides: a call for reassessment of stratification criteria. [PDF]

Front Oncol
Cazagranda IC, Rech D, de Oliveira ST, Alves FM, Panis C, Silveira GF.   +5 more
europepmc   +1 more source