Search Results - "Feature Selection"

A novel distributed fine-grained energy consumption monitoring for large-scale nonlinear dynamic industrial processes.

Authors: Peng, Kaixiang Wei, Yuzhe Li, Tie et al.

Source: International Journal of Production Research. Jun2025, p1-16. 16p. 7 Illustrations.

Subject Terms: *ENERGY consumption, *PROCESS control systems, FEATURE selection, NONLINEAR mechanics, FEEDBACK control systems, RECURRENT neural networks, DIMENSIONAL reduction algorithms

A Multi-Organ and Multi-Modal Data-Driven Analysis of Metabolic Patterns in Type 2 Diabetes. Unravelling the Pathologic Mechanisms Between Organs: The Impact of Tissue-Specific Insulin Resistance.

Authors: Martín-Saladich, Queralt

Thesis Advisors: Herance Camacho, José Raúl, González Ballester, Miguel Ángel

Source: TDX (Tesis Doctorals en Xarxa)

Subject Terms: Diabetis tipus 2, Type 2 diabetes, Diabetes tipo 2, Imatge [18F]FDG-PET/CT, [18F]FDG-PET/CT scan, Imagen [18F]FDG-PET/CT, Insulino-resistència, Insulin resistance, Insulino-resistencia, Eix fetge-cor-cervell, Liver-heart-brain axis, Eje hígado-corazón-cerebro, Diagnòstic assistit, Computer-aided diagnosis, Diagnóstico asistido, Machine learning, Selecció de paràmetres, Feature selection, Selección de parámetros, Quantificació, Quantification, Cuantificación, Segmentació, Segmentation, Segmentación

File Description: application/pdf

Access URL: http://hdl.handle.net/10803/695511

Transfer learning of high-dimensional features via attention-based embedding for Ni-based superalloys.

Authors: Gao, Jun Gao, Zhenhuan Fan, Xue et al.

Source: Journal of Applied Physics. 7/14/2025, Vol. 138 Issue 2, p1-17. 17p.

Subject Terms: *MACHINE learning, *FEATURE selection, *MECHANICAL behavior of materials, *TRANSFER of training, *NICKEL alloys

A methodology for evaluating feature selection and clustering methods with project-specific requirements.

Authors: von Linde, H. Riedel, O.

Source: International Journal of Production Research. Mar2025, Vol. 63 Issue 5, p1692-1706. 15p.

Subject Terms: *ENGINEERS, ANALYTIC hierarchy process, FEATURE selection, SCIENTIFIC method, MACHINE learning

Dynamic Feature Selection Based on Model Interpretation for Just-in-Time Software Defect Prediction.

Authors: Yu, Qiao Zhang, Yu Zhu, Yi

Source: International Journal of Software Engineering & Knowledge Engineering. Nov2025, p1-23. 23p. 8 Illustrations.

Subject Terms: *TIME series analysis, *FORECASTING, *SOFTWARE engineering, FEATURE selection, PATTERN recognition systems

一种基于 LightGBM 的 UWB 非视距识别方法.

Alternate Title: A UWB Non-Line-of-Sight Recognition Method Based on LightGBM.

Authors: 李乾 刘卓伦 孙晓云 et al.

Source: Telecommunication Engineering. 11/28/2025, Vol. 65 Issue 11, p1766-1772. 7p.

Subject Terms: *MATHEMATICAL optimization, FEATURE selection, MACHINE learning, ULTRA-wideband devices, DETECTION algorithms, ENSEMBLE learning

Budget Constrained Model Selection for Logistic Regression.

Authors: Zhang, Jingying Rardin, Ronald L. Chimka, Justin R.

Source: Stochastics & Quality Control. Nov2025, p1. 10p.

Subject Terms: *MATHEMATICAL statistics, *RESOURCE allocation, *SIMULATION methods & models, LOGISTIC regression analysis, FEATURE selection, INDEPENDENT variables, STATISTICAL models

Variable selection via thresholding.

Authors: Ho, Ka Long Keith Nguyen, Hien Duy

Source: Scandinavian Journal of Statistics. Nov2025, p1. 31p. 1 Illustration.

Subject Terms: *STATISTICS, *DATA analysis, *REGRESSION analysis, *QUANTITATIVE research, THRESHOLDING algorithms, FEATURE selection, INFERENTIAL statistics, SPARSE approximations

Data Quality Improvement for Financial Distress Prediction: Feature Selection, Data Re‐Sampling, and Their Combinations in Different Orders.

Authors: Tsai, Chih‐Fong Lin, Wei‐Chao Chen, Yi‐Hsien

Source: Journal of Forecasting. Nov2025, Vol. 44 Issue 7, p2205-2229. 25p.

Subject Terms: *CREDIT risk, DATA quality, FEATURE selection, MACHINE learning, RESAMPLING (Statistics), PREDICTION models

Default Prediction Framework With Optimal Feature Set and Matching Ratio.

Authors: Chi, Guotai Bai, Fengshan Tan, Hongping et al.

Source: Journal of Forecasting. Nov2025, Vol. 44 Issue 7, p2067-2088. 22p.

Subject Terms: *STATISTICAL errors, *CREDIT analysis, FEATURE selection, DEEP learning, RECEIVER operating characteristic curves

A robust partial linear model combining modified Huber loss function and variable selection.

Authors: Goodarzi Vanani, Vahid Shahsavani, Davood Kazemi, Mohammad

Source: Statistical Papers. Oct2025, Vol. 66 Issue 6, p1-28. 28p.

Subject Terms: *LINEAR statistical models, *SIMULATION methods & models, *STATISTICAL reliability, ROBUST statistics, FEATURE selection, LOSS functions (Statistics), OUTLIER detection

Feature selection on real-time application using hybrid of flamingo search algorithm and improved non-dominated sorting genetic algorithm III.

Authors: Kousalya, C. Gnana kumar, V. Senthil Diaz, P. M. et al.

Source: Journal of Experimental & Theoretical Artificial Intelligence. Oct2025, Vol. 37 Issue 7, p1175-1193. 19p.

Subject Terms: *MATHEMATICAL optimization, *BIG data, FEATURE selection, MACHINE learning, EXTREME learning machines, MULTI-objective optimization, OPTIMIZATION algorithms

Embedded feature selection for neural networks via learnable drop layer Open Access.

Authors: JimÉnez-Navarro, M J MartÍnez-Ballesteros, M Brito, I S et al.

Source: Logic Journal of the IGPL. Oct2025, Vol. 33 Issue 5, p1-25. 25p.

Subject Terms: *ARTIFICIAL neural networks, *REGRESSION analysis, FEATURE selection, DIMENSIONAL reduction algorithms, MACHINE learning, CLASSIFICATION algorithms

A game theoretic decision forest for feature selection and classification.

Authors: Suciu, Mihai-Alexandru Lung, Rodica Ioana

Source: Logic Journal of the IGPL. Oct2025, Vol. 33 Issue 5, p1-15. 15p.

Subject Terms: *GAME theory, *NASH equilibrium, *DECISION trees, FEATURE selection, CLASSIFICATION, RANDOM forest algorithms, LOGISTIC regression analysis, MACHINE learning

People: NASH, John F., 1928-2015

A novel fusion of interpretable boosting algorithm and feature selection for predicting casing damage.

Authors: Juan Li Fargalla, Mandella Ali M. Wei Yan et al.

Source: Petroleum Science (KeAi Communications Co.). Oct2025, Vol. 22 Issue 10, p4157-4173. 17p.

Subject Terms: *PETROLEUM production, FEATURE selection, BOOSTING algorithms, PREDICTION models, SANDSTONE

Interaction screening in high-dimensional multi-response regression via projected distance correlation.

Authors: Liu, Lili Lin, Lu Liu, Lei

Source: Communications in Statistics: Simulation & Computation. 2025, Vol. 54 Issue 11, p4754-4779. 26p.

Subject Terms: *STATISTICAL correlation, *MULTIVARIATE analysis, *REGRESSION analysis, *MATHEMATICAL optimization, FEATURE selection

Determinants of paratransit feeder service provision using AI-synthesized revealed preference data: a paratransit drivers' perspective on PT reform using machine learning.

Authors: Turay, Simeon Stevenson Adams, Charles Anum Ababio-Donkor, Augustus

Source: Transportation Planning & Technology. Oct2025, Vol. 48 Issue 6, p1190-1219. 30p.

Subject Terms: *ARTIFICIAL neural networks, *PUBLIC opinion, *PUBLIC transit, FEATURE selection, MACHINE learning

A comparison between penalized logistic regressions and classification tree approaches.

Authors: Behzadi, Mostafa Yunus, Rossita Mohamad Mohamad, Saharuddin Bin et al.

Source: Communications in Statistics: Theory & Methods. 2025, Vol. 54 Issue 19, p6231-6248. 18p.

Subject Terms: *DECISION trees, *BIG data, FEATURE selection, MATHEMATICAL regularization, NEWTON-Raphson method, RIDGE regression (Statistics), OPTIMIZATION algorithms

A novel method for corn futures price prediction integrating decomposition, denoising, feature selection and hybrid networks.

Authors: Chen, Yi¹ (AUTHOR) syichent@163.com

Source: Annals of Operations Research. Oct2025, Vol. 353 Issue 2, p449-484. 36p.

Subject Terms: *COMMODITY futures, *ECONOMIC forecasting, FEATURE selection, ENSEMBLE learning, HILBERT-Huang transform, SIGNAL denoising

Composite quantile regression for high-dimensional linear mixed effects models.

Authors: Yang, Yiping Li, Jing Duan, Xiaogang et al.

Source: Journal of Statistical Computation & Simulation. Nov2025, Vol. 95 Issue 17, p3749-3775. 27p.

Subject Terms: QUANTILE regression, FEATURE selection, OPTIMIZATION algorithms, MULTILEVEL models, ORTHOGONAL decompositions, MATHEMATICAL regularization