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Irredundant $k$-Fold Cross-Validation

• Authors : Aguilar-Ruiz, Jesus S.

Subjects: Machine Learning; Artificial Intelligence; Methodology

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Random Forest Stratified K-Fold Cross Validation on SYN DoS Attack SD-IoV

• Authors : Zamrai, Muhammad Arif Hakimi; Yusof, Kamaludin Mohd

Subjects: Cryptography and Security; Artificial Intelligence; Machine Learning

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Asymptotic Theory of $K$-fold Cross-validation in Lasso and the validity of Bootstrap

• Authors : Choudhury, Mayukh; Das, Debraj

Subjects: Methodology

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Combining K-fold cross validation with bayesian hyperparameter optimization for accuracy enhancement of land cover and land use classification

• Authors : Pooya Heidari; Asghar Milan

Subjects: Land cover and land use; Deep learning; Remote sensing

• Source: Scientific Reports, Vol 15, Iss 1, Pp 1-16 (2025)

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Classification of cotton leaf disease using YOLOv8 based k-fold cross validation deep learning method for precision agriculture

• Authors : Kamaldeep Joshi; Yashasvi Yadav; Sahil Hooda

Subjects: Cotton leaf disease recognition; Deep learning; Disease classification

• Source: Scientific Reports, Vol 15, Iss 1, Pp 1-21 (2025)

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The impact of K selection in K‑fold cross-validation on bias and variance in supervised learning models

• Authors : Tahsinul Abedin; Haoming Xu; Shahadat Uddin

Subjects: K-fold cross-validation; Bias-variance trade-off; And supervised machine learning

• Source: Scientific Reports, Vol 16, Iss 1 (2026)

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Sensorless Position Estimation in Electromagnetic Launchers Using Recurrent Neural Networks with Repeated k-Fold Cross-Validation.

• Authors : Özbay, Harun¹ (AUTHOR); Özer, İlyas¹ (AUTHOR); Dalcali, Adem¹ (AUTHOR)

• Source: Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. ). Nov2025, Vol. 50 Issue 21, p17381-17399. 19p.

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A New Flexible Train-Test Split Algorithm, an approach for choosing among the Hold-out, K-fold cross-validation, and Hold-out iteration

• Authors : Bami, Zahra; Behnampour, Ali; Bora, Aniruddha

Subjects: Machine Learning

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Evaluating K-Fold Cross Validation for Transformer Based Symbolic Regression Models

• Authors : Kislay, Kaustubh; Singh, Shlok; Joshi, Soham

Subjects: Machine Learning; Computation and Language

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SOAK: Same/Other/All K-fold cross-validation for estimating similarity of patterns in data subsets

• Authors : Hocking, Toby Dylan; Thibault, Gabrielle; Bodine, Cameron Scott

Subjects: Statistics - Machine Learning; Computer Science - Artificial Intelligence; Computer Science - Machine Learning

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