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Weighted logistic regression for large-scale imbalanced and rare events data

Knowledge-based systems, 2014-03, Vol.59, p.142-148

2014

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Detecting depression severity using weighted random forest and oxidative stress biomarkers

Scientific reports, 2024-07, Vol.14 (1), p.16328-18, Article 16328

2024

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Analyzing a co-occurrence gene-interaction network to identify disease-gene association

BMC bioinformatics, 2019-02, Vol.20 (1), p.70-70, Article 70

2019

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COVID-19, jobs and skills-Exploratory analysis of the job postings in the US and UK healthcare job market

PloS one, 2023-01, Vol.18 (1), p.e0278237-e0278237

2023

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Robust weighted kernel logistic regression in imbalanced and rare events data

Computational statistics & data analysis, 2011, Vol.55 (1), p.168-183

2011

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Failure strength prediction of aluminum spot-welded joints using kernel ridge regression

International journal of advanced manufacturing technology, 2017-08, Vol.91 (9-12), p.3717-3725

2017

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Selection of optimal strategy for managing decentralized solar PV systems considering uncertain weather conditions

Scientific reports, 2024-05, Vol.14 (1), p.12269-12269, Article 12269

2024

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Truncated Newton Kernel Ridge Regression for Prediction of Porosity in Additive Manufactured SS316L

Applied sciences, 2022-05, Vol.12 (9), p.4252

2022

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Mathematical Modeling of Multi-Performance Metrics and Process Parameter Optimization in Laser Powder Bed Fusion

Metals (Basel ), 2022-12, Vol.12 (12), p.2098

2022

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An Efficient Method to Predict Compressibility Factor of Natural Gas Streams

Energies (Basel), 2019-07, Vol.12 (13), p.2577

2019

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Inferring Causation in Yeast Gene Association Networks With Kernel Logistic Regression

Evolutionary bioinformatics online, 2020, Vol.16, p.1176934320920310-1176934320920310

2020

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Classification of WatSan Technologies Using Machine Learning Techniques

Water (Basel), 2023-08, Vol.15 (15), p.2829

2023

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Inferring Gene Regulatory Networks from RNA-seq Data Using Kernel Classification

Biology (Basel, Switzerland), 2023-03, Vol.12 (4), p.518

2023

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Logistic regression in data analysis: an overview

International journal of data analysis techniques and strategies, 2011, Vol.3 (3), p.281

Maalouf, Maher

2011

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Techno-economic analysis of energy storage systems using reversible fuel cells and rechargeable batteries in green buildings

Energy (Oxford), 2022-05, Vol.247, p.123466, Article 123466

2022

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A comparative analysis of machine learning and statistical methods for evaluating building performance: A systematic review and future benchmarking framework

Building and environment, 2024-03, Vol.252, p.111268, Article 111268

2024

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Kernel ridge regression using truncated newton method

Knowledge-based systems, 2014-11, Vol.71, p.339-344

2014

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Maximizing supply chain performance leveraging machine learning to anticipate customer backorders

Computers & industrial engineering, 2024-08, Vol.194, p.110414, Article 110414

2024

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Prediction of Resilient Modulus from Post-compaction Moisture Content and Physical Properties Using Support Vector Regression

Geotechnical and geological engineering, 2018-10, Vol.36 (5), p.2881-2892

2018

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Techno-economic assessment of energy storage systems in green buildings while considering demand uncertainty

Energy and buildings, 2023-07, Vol.291, p.113130, Article 113130

2023

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Lean and Industry 4.0: A bibliometric analysis, opportunities for future research directions

The Quality management journal, 2023-01, Vol.30 (1), p.41-63

2023

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Analysis of Cancer-Associated Mutations of POLB Using Machine Learning and Bioinformatics

IEEE/ACM transactions on computational biology and bioinformatics, 2024-09, Vol.21 (5), p.1436-1444

2024

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Logistic regression in large rare events and imbalanced data: A performance comparison of prior correction and weighting methods

Computational intelligence, 2018-02, Vol.34 (1), p.161-174

2018

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Improved Modeling of Solar Flash Desalination Using Support Vector Regression

Journal of energy engineering, 2017-08, Vol.143 (4)

2017

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Industry 4.0 benefits, challenges and critical success factors: a comparative analysis through the lens of resource dependence theory across continents and economies

Journal of manufacturing technology management, 2023-10, Vol.34 (7), p.1073-1097

2023

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Weighted logistic regression for large-scale imbalanced and rare events data

Detecting depression severity using weighted random forest and oxidative stress biomarkers

Analyzing a co-occurrence gene-interaction network to identify disease-gene association

COVID-19, jobs and skills-Exploratory analysis of the job postings in the US and UK healthcare job market

Robust weighted kernel logistic regression in imbalanced and rare events data

Failure strength prediction of aluminum spot-welded joints using kernel ridge regression

Selection of optimal strategy for managing decentralized solar PV systems considering uncertain weather conditions

Truncated Newton Kernel Ridge Regression for Prediction of Porosity in Additive Manufactured SS316L

Mathematical Modeling of Multi-Performance Metrics and Process Parameter Optimization in Laser Powder Bed Fusion

An Efficient Method to Predict Compressibility Factor of Natural Gas Streams

Inferring Causation in Yeast Gene Association Networks With Kernel Logistic Regression

Classification of WatSan Technologies Using Machine Learning Techniques

Inferring Gene Regulatory Networks from RNA-seq Data Using Kernel Classification

Logistic regression in data analysis: an overview

Techno-economic analysis of energy storage systems using reversible fuel cells and rechargeable batteries in green buildings

A comparative analysis of machine learning and statistical methods for evaluating building performance: A systematic review and future benchmarking framework

Kernel ridge regression using truncated newton method

Maximizing supply chain performance leveraging machine learning to anticipate customer backorders

Prediction of Resilient Modulus from Post-compaction Moisture Content and Physical Properties Using Support Vector Regression

Techno-economic assessment of energy storage systems in green buildings while considering demand uncertainty

Lean and Industry 4.0: A bibliometric analysis, opportunities for future research directions

Analysis of Cancer-Associated Mutations of POLB Using Machine Learning and Bioinformatics

Logistic regression in large rare events and imbalanced data: A performance comparison of prior correction and weighting methods

Improved Modeling of Solar Flash Desalination Using Support Vector Regression

Industry 4.0 benefits, challenges and critical success factors: a comparative analysis through the lens of resource dependence theory across continents and economies

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