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Application of Synthetic Minority Over-Sampling Technique (SMOTE) to Outlier Data for Probabilistic Neural Network (PNN)

• Authors : Hayati, Ramdan; Hasan, Isran; Achmad, Novianita

Subjects: probabilistic neural network; artificial neural network; Gaussian KDE Function

• Source: Jurnal Matematika Sains dan Teknologi; Vol. 25 No. 1 (2024); 45-57 ; 2442-9147 ; 1411-1934 ; 10.33830/jmst.v25i1

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Addressing Class Imbalances in Video Time-Series Data for Estimation of Learner Engagement: “Over Sampling with Skipped Moving Average”

• Authors : Xianwen Zheng; Shinobu Hasegawa; Wen Gu

Subjects: engagement estimation; time-series data; class imbalances data

• Source: Education Sciences, Vol 14, Iss 6, p 556 (2024)

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A review on over-sampling techniques in classification of multi-class imbalanced datasets: insights for medical problems

• Authors : Yuxuan Yang; Hadi Akbarzadeh Khorshidi; Uwe Aickelin

Subjects: over-sampling; re-sampling; multi-class

• Source: Frontiers in Digital Health, Vol 6 (2024)

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A novel bias-alleviated hybrid ensemble model based on over-sampling and post-processing for fair classification

• Authors : Fang He; Xiaoxia Wu; Wenyu Zhang

Subjects: machine learning; fair classification; over-sampling

• Source: Connection Science, Vol 35, Iss 1 (2023)

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An Analysis of Work Saved over Sampling in the Evaluation of Automated Citation Screening in Systematic Literature Reviews

• Authors : Kusa, Wojciech; Lipani, Aldo; Knoth, Petr

Subjects: Citation Screening; Study Selection; Evaluation

• Source: Intelligent Systems with Applications , Article 200193. (2023) (In press).

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An analysis of work saved over sampling in the evaluation of automated citation screening in systematic literature reviews

• Authors : Wojciech Kusa; Aldo Lipani; Petr Knoth

Subjects: Citation screening; Study selection; Evaluation

• Source: Intelligent Systems with Applications, Vol 18, Iss , Pp 200193- (2023)

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SORAG: Synthetic Data Over-Sampling Strategy on Multi-Label Graphs

• Authors : Yijun Duan; Xin Liu; Adam Jatowt

Subjects: imbalanced data classification; data over-sampling; generative adversarial network

• Source: Remote Sensing; Volume 14; Issue 18; Pages: 4479

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SORAG: Synthetic Data Over-Sampling Strategy on Multi-Label Graphs

• Authors : Yijun Duan; Xin Liu; Adam Jatowt

Subjects: imbalanced data classification; data over-sampling; generative adversarial network

• Source: Remote Sensing, Vol 14, Iss 4479, p 4479 (2022)

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An Enhanced Gas Sensor Data Classification Method Using Principal Component Analysis and Synthetic Minority Over-Sampling Technique Algorithms

• Authors : Xianzhang Zeng; Muhammad Shahzeb; Xin Cheng

Subjects: machine learning; gas sensor; PCA

• Source: Micromachines ; Volume 15 ; Issue 12 ; Pages: 1501

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Klasifikasi Perputaran Karyawan Perusahaan Menggunakan Algoritma Random Forest dan Random Over-sampling

• Authors : Kurniadi, Dede; Nuraeni, Fitri; Faturrohman, Nadhif

• Source: Edu Komputika Journal; Vol 10 No 2 (2023): Edu Komputika Journal; 93-103 ; 2599-297X ; 2252-6811 ; 10.15294/edukomputika.v10i2

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