Results 81 to 90 of about 219,349 (181)

An oversampling FCM-KSMOTE algorithm for imbalanced data classification

Journal of King Saud University: Computer and Information Sciences
In recent years, imbalanced data classification has emerged as a challenging task. To address this issue, we propose a novel oversampling method named FCM-KSMOTE.
Hongfang Zhou, Jiahao Tong, Yuhan Liu, Kangyun Zheng, Chenhui Cao   +4 more
doaj   +1 more source

Medical imbalanced data classification

Advances in Science, Technology and Engineering Systems Journal, 2017
Sara Belarouci, Mohammed Amine Chikh
openaire   +1 more source

Optimal selection of resampling methods for imbalanced data with high complexity. [PDF]

PLoS One, 2023
Kim A, Jung I.
europepmc   +1 more source

Imbalanced data stream classification method with limited labels

大数据
Data stream classification is a crucial research area within data stream mining, with the core task of swiftly capturing concept drifts from real-time incoming data stream and promptly adjusting classification models.
LI Yanhong, LI Zhihua, ZHENG Jianxing, BAI Hexiang, GUO Xin   +4 more
doaj  

Effective Invasiveness Recognition of Imbalanced Data by Semi-Automated Segmentations of Lung Nodules. [PDF]

Biomedicines, 2023
Tung YC, Su JH, Liao YW, Lee YC, Chen BA, Huang HM, Jhang JJ, Hsieh HY, Tong YS, Cheng YF, Lai CH, Chang WC.   +11 more
europepmc   +1 more source

Predicting asthma using imbalanced data modeling techniques: Evidence from 2019 Michigan BRFSS data. [PDF]

PLoS One, 2023
Budhathoki N, Bhandari R, Bashyal S, Lee C.   +3 more
europepmc   +1 more source

PET-TURTLE: Deep Unsupervised Support Vector Machines for Imbalanced Data Clusters. [PDF]

IEEE Signal Process Lett
Salazar Cavazos J.
europepmc   +1 more source

Machine Learning-Based Screening for Potential Singlet Fission Chromophores: The Challenge of Imbalanced Data Sets. [PDF]

J Phys Chem Lett, 2023
Borislavov L, Nedyalkova M, Tadjer A, Aydemir O, Romanova J.   +4 more
europepmc   +1 more source

Predicting cardiovascular diseases using imbalanced data: An XGBoost-based analysis of the 2022 BRFSS dataset. [PDF]

Am Heart J Plus
Imani M, Maroosi A, Shojaei S, Heidari K, Hoseinzadeh SM, Daneshi N, Saber Z, Sajadi N, Mohammadzadeh M.   +8 more
europepmc   +1 more source

Reliable Multi-Class Mental Health Prediction Using a WiSARD Discriminator Model on Imbalanced Data. [PDF]

Inquiry
Binsawad M.
europepmc   +1 more source