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Research article

First published 2020-10

Feature Selection and Rapid Characterization of Bloodstains on Different Substrates

Rekha Gautam, Deandra Peoples, Kiana Jansen [...]

Applied Spectroscopy

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Research article

First published 2024-2

Determinants of Price Multiples for Technology Firms in Developed and Emerging Markets: Variable Selection Using Shrinkage Algorithm

Himanshu Joshi, Rajneesh Chauhan

Vision: The Journal of Business Perspective

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Research article

First published 2022-11

A CNN-LASSO ensemble classification model for incomplete antibody reactants screening in coombs test

Keqing Wu, Hongmei Wang, Yujue Wang [...]

Technology and Health Care

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Research article

First published 2013-10

Improved Intact Soil-Core Carbon Determination Applying Regression Shrinkage and Variable Selection Techniques to Complete Spectrum Laser-Induced Breakdown Spectroscopy (LIBS)

Ross S. Bricklemyer, David J. Brown, Philip J. Turk [...]

Applied Spectroscopy

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Research article

First published 2022-6

Deep Learning Models for Data-Driven Laser Induced Breakdown Spectroscopy (LIBS) Analysis of Interstitial Oxygen Impurities in Czochralski-Si Crystals

Seyyed Ali Davari, Dibyendu Mukherjee

Applied Spectroscopy

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Research article

First published 2020-9

Canal-LASSO: A sparse noise-resilient online linear regression model

Hejie Lei, Xingke Chen, Ling Jian

Intelligent Data Analysis: An International Journal

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Research article

First published 2023-5

Factors Affecting Road Traffic: Identifying Drivers of Annual Average Daily Traffic Using Least Absolute Shrinkage and Selection Operator Regression

Alexandros Sfyridis, Paolo Agnolucci

Transportation Research Record: Journal of the Transportation Research Board

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Research article

First published 2025-5

Selecting Items to Compose a Brief Version of the Youth Level of Service/Case Management Inventory Using Machine Learning,Sparse Modeling

Takemi Mori, Yoshikazu Shimada

Criminal Justice and Behavior

Open access

Research article

First published 2012

Gene Selection using a High-Dimensional Regression Model with Microarrays in Cancer Prognostic Studies

Shuhei Kaneko, Akihiro Hirakawa, Chikuma Hamada

Cancer Informatics

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Research article

First published 2022-11

A soft-sensing method for product quality monitoring based on particle swarm optimization deep belief networks

Qi Li, Menghan Yang, Zhengyin Lu [...]

Transactions of the Institute of Measurement and Control

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