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KOC_Net: Impact of the Synthetic Minority Over-Sampling Technique with Deep Learning Models for Classification of Knee Osteoarthritis Using Kellgren–Lawrence X-Ray Grade.

• Authors : Hassan, Syeda Nida¹ (AUTHOR); Khalil, Mudassir² (AUTHOR); Salahuddin, Humayun³ (AUTHOR)

• Source: Mathematics (2227-7390). Nov2024, Vol. 12 Issue 22, p3534. 33p.

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

• Authors : Zheng, Xianwen¹, ; Hasegawa, Shinobu², t.ac.jp; Gu, Wen²,

• Source: Education Sciences; Jun2024, Vol. 14 Issue 6, p556, 15p

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

• Authors : Duan, Yijun¹ (AUTHOR) ; Liu, Xin¹ (AUTHOR); Jatowt, Adam² (AUTHOR)

• Source: Remote Sensing. Sep2022, Vol. 14 Issue 18, pN.PAG-N.PAG. 25p.

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Searching for Optimal Oversampling to Process Imbalanced Data: Generative Adversarial Networks and Synthetic Minority Over-Sampling Technique.

• Authors : Eom, Gayeong¹ (AUTHOR); Byeon, Haewon² (AUTHOR)

• Source: Mathematics (2227-7390). 8/15/2023, Vol. 11 Issue 16, p3605. 14p.

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Data-Driven Cervical Cancer Prediction Model with Outlier Detection and Over-Sampling Methods.

• Authors : Ijaz MF; Department of Industrial and Systems Engineering, Dongguk University-Seoul, Seoul 04620, Korea.; Attique M

Subjects: Machine Learning* ; Uterine Cervical Neoplasms*/Uterine Cervical Neoplasms*/Uterine Cervical Neoplasms*/diagnosis; Algorithms

• Source: Sensors (Basel, Switzerland) [Sensors (Basel)] 2020 May 15; Vol. 20 (10). Date of Electronic Publication: 2020 May 15.Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium:

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Speech Emotion Recognition Based on Selective Interpolation Synthetic Minority Over-Sampling Technique in Small Sample Environment.

• Authors : Liu ZT; School of Automation, China University of Geosciences, Wuhan 430074, China.; Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, Wuhan 430074, China.

Subjects: Emotions/Emotions/Emotions/*physiology ; Pattern Recognition, Automated/Pattern Recognition, Automated/Pattern Recognition, Automated/*methods ; Speech/Speech/Speech/*physiology

• Source: Sensors (Basel, Switzerland) [Sensors (Basel)] 2020 Apr 17; Vol. 20 (8). Date of Electronic Publication: 2020 Apr 17.Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium:

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Research on the Development and Application of a Deep Learning Model for Effective Management and Response to Harmful Algal Blooms.

• Authors : Kim, Jungwook¹ (AUTHOR) ; Kim, Hongtae¹ (AUTHOR); Kim, Kyunghyun¹ (AUTHOR)

Subjects: *DEEP learning; *CYANOBACTERIAL blooms; *WATER useSOUTH Korea

• Source: Water (20734441). Jun2023, Vol. 15 Issue 12, p2293. 16p.

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Investigating Credit Card Payment Fraud with Detection Methods Using Advanced Machine Learning.

• Authors : Chang, Victor¹ (AUTHOR) ; Ali, Basit¹ (AUTHOR) ; Golightly, Lewis² (AUTHOR)

Subjects: *Machine learning; Credit card fraud; Fraud investigation

• Source: Information (2078-2489). Aug2024, Vol. 15 Issue 8, p478. 20p.

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Ensemble-Based Machine Learning Algorithm for Loan Default Risk Prediction.

• Authors : Akinjole, Abisola¹ (AUTHOR) ; Shobayo, Olamilekan¹ (AUTHOR) ; Popoola, Jumoke¹ (AUTHOR)

• Source: Mathematics (2227-7390). Nov2024, Vol. 12 Issue 21, p3423. 31p.

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Data-Driven Approach for Intelligent Classification of Tunnel Surrounding Rock Using Integrated Fractal and Machine Learning Methods.

• Authors : Ma, Junjie^1,2 (AUTHOR) ; Li, Tianbin¹ (AUTHOR) ; Shirani Faradonbeh, Roohollah² (AUTHOR)

• Source: Fractal & Fractional. Dec2024, Vol. 8 Issue 12, p677. 22p.

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