Loan classification using logistic regression by U. I. Behunkou, M. Y. Kovalyov

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Classification of Red Foxes: Logistic Regression and SVM with VGG-16, VGG-19, and Inception V3 by Brian Sabayu, Imam Yuadi

“…This study conducts an evaluation of three deep learning architectures: Inception V3, VGG-16, and VGG-19, utilizing images of red foxes. …”
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Calculation Method of Downstream Water Level in Non-Spilling Periods of Hydropower Stations Based on Decision Tree Classification and Multiple Linear Regression by LI Yinghai, HE Liangzhe, ZHANG Hairong, NIE Panpan, QIN Hui, YANG Qingyu, GUO Jiali

“…This method first employs the classification and regression tree (CART) algorithm, using long-series measured data from hydropower stations to establish decision tree classification rules and classify data of different operation working conditions. …”
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Multinomial logistic regression algorithm for the classification of patients with parkinsonisms by Eva Štokelj, Tomaž Rus, Jan Jamšek, Maja Trošt, Urban Simončič

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Neural network-based classification and regression of magnetohydrodynamic modes in tokamaks by L. Bardoczi, K. Won, N.J. Richner, A.C. Brown, D. Chow, P. Li, J. Monahan

“…We present a machine learning-based magnetohydrodynamic (MHD) classifier and regressor that utilizes real or complex-valued 3D magnetic sensor array data to determine neoclassical tearing mode (NTM) onset times in tokamaks with millisecond accuracy. …”
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Comparison of Dimensionality Reduction Approaches and Logistic Regression for ECG Classification by Simeon Lappa Tchoffo, Éloïse Soucy, Ismaila Baldé, Jalila Jbilou, Salah El Adlouni

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Kernel Negative ε Dragging Linear Regression for Pattern Classification by Yali Peng, Lu Zhang, Shigang Liu, Xili Wang, Min Guo

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ORDINAL LOGISTIC REGRESSION MODEL AND CLASSIFICATION TREE ON ORDINAL RESPONSE DATA by Jajang Jajang, Nunung Nurhayati, Suci Jena Mufida

“…This research studied logistic regression (LR) models and Classification Trees in the case of ordinal response variable types.   …”
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The design of copper flotation process based on multi-label classification and regression by Haipei Dong, Fuli Wang, Dakuo He, Yan Liu

“…However, the above method cannot be used for cleaning and scavenging process design, which is a multi-label regression problem. This study improves on our previous work and proposes new methods that allow it to simultaneously handle multi-label classification and regression for the design of copper flotation processes. …”
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OVERCOMING OVERFITTING IN MONKEY VOCALIZATION CLASSIFICATION: USING LSTM AND LOGISTIC REGRESSION by Suryasatriya Trihandaru, Hanna Arini Parhusip, Abdiel Wilyar Goni

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On-farm 3D images of beef cattle for the prediction of carcass classification traits and cold carcass weight by H. Nisbet, N. Lambe, G.A. Miller, A. Doeschl-Wilson, D. Barclay, A. Wheaton, C-A. Duthie

“…This means that the target classification grades cannot be accurately estimated, leading to over− and under-finished animals being sent to slaughter. …”
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ESTIMATION OF HEALTHY AND LIVER DISEASED INDIVIDUALS BY A LINEAR REGRESSION CLASSIFICATION ALGORITHM by Handan Tanyıldızı Kökkülünk

“…When the correlation relationship graph was examined, it was determined that AST was a strong differential parameter in healthy/liver diseased individuals.Conclusion: Multiple linear regression is a preferable method for categorical disease classification.…”
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Payment Status Classification Invoice Bank Using Logistic Regression and Random Forest by Farah Anindia Putri, Mujiati Dwi Kartikasari

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Automated Detection of Connective Tissue by Tissue Counter Analysis and Classification and Regression Trees by Josef Smolle, Peter Kahofer

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Gaussian Copula Regression Modeling for Marker Classification Metrics with Competing Risk Outcomes by Alejandro Román Vásquez, Gabriel Escarela, Hortensia Josefina Reyes-Cervantes, Gabriel Núñez-Antonio

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Binary classification with Fuzzy-Bayesian logistic regression using Gaussian fuzzy numbers by Georgios Charizanos, Haydar Demirhan, Duygu İçen

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Multi-Neural Network Localisation System with Regression and Classification on Football Autonomous Robots by Carolina Coelho Lopes, António Ribeiro, Tiago Ribeiro, Gil Lopes, A. Fernando Ribeiro

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Thyroid disease classification using generative adversarial networks and Kolmogorov-Arnold network for three-class classification by Aysel Topşir, Ferdi Güler, Ecesu Çetin, Mehmet Furkan Burak, Melih Ağraz

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Improving kernel ridge regression for medical data classification based on meta-heuristic algorithms

“…Of the three datasets, it achieved an overall result of 79 % in producing the highest classification accuracy. © 2025 The Authors…”
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Investigation of Freeway Incident Duration Using Classification and Regression Trees Based on Multisource Data by Xun Xie, Gen Li, Lan Wu, Shuxin Du

“…This study utilized the Classification and Regression Trees (CART) data mining technique to predict and quantify the duration of incidents. …”
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