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Local scour depth at piles group exposed to regular waves: On the assessment of expressions based on classification concepts and evolutionary algorithms

Results in engineering, 2024-03, Vol.21, p.101810, Article 101810

2024

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An orchestra of machine learning methods reveals landmarks in single-cell data exemplified with aging fibroblasts

PloS one, 2024-04, Vol.19 (4), p.e0302045-e0302045

2024

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A local spline regression-based framework for semi-supervised sparse feature selection

Knowledge-based systems, 2023-02, Vol.262, p.110265, Article 110265

Sheikhpour, Razieh

2023

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Predicting age and gender from network telemetry: Implications for privacy and impact on policy

PloS one, 2022-07, Vol.17 (7), p.e0271714-e0271714

2022

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A Novel Network Coding Algorithm to Improve TCP in Wireless Networks

Wireless personal communications, 2020-02, Vol.110 (3), p.1199-1216

2020

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Particle swarm optimization for bandwidth determination and feature selection of kernel density estimation based classifiers in diagnosis of breast cancer

Applied soft computing, 2016-03, Vol.40, p.113-131

2016

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Hessian-based semi-supervised feature selection using generalized uncorrelated constraint

Knowledge-based systems, 2023-06, Vol.269, p.110521, Article 110521

2023

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Semi-supervised sparse feature selection via graph Laplacian based scatter matrix for regression problems

Information sciences, 2018-11, Vol.468, p.14-28

2018

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An Energy Efficient Chain-based Routing Protocol for Wireless Sensor Networks

KSII Transactions on Internet and Information Systems, 2013, 7(6), , pp.1357-1378

2013

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A Survey on semi-supervised feature selection methods

Pattern recognition, 2017-04, Vol.64, p.141-158

2017

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A new method for recommendation based on embedding spectral clustering in heterogeneous networks (RESCHet)

Expert systems with applications, 2023-11, Vol.231, p.120699, Article 120699

2023

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WSNMF: Weighted Symmetric Nonnegative Matrix Factorization for attributed graph clustering

Neurocomputing (Amsterdam), 2024-01, Vol.566, p.127041, Article 127041

2024

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Sparse feature selection using hypergraph Laplacian-based semi-supervised discriminant analysis

Pattern recognition, 2025-01, Vol.157, p.110882, Article 110882

2025

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BRNS + SSFSM-DTI: A hybrid method for drug-target interaction prediction based on balanced reliable negative samples and semi-supervised feature selection

Chemometrics and intelligent laboratory systems, 2022-01, Vol.220, p.104462, Article 104462

2022

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An Energy Efficient Chain-based Routing Protocol for Wireless Sensor Networks

KSII transactions on Internet and information systems, 2013-06, Vol.7 (6), p.1357-1378

2013

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Health-aware food recommendation system with dual attention in heterogeneous graphs

Computers in biology and medicine, 2024-02, Vol.169, p.107882-107882, Article 107882

2024

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Drug-target interaction prediction using reliable negative samples and effective feature selection methods

Journal of pharmacological and toxicological methods, 2022-07, Vol.116, p.107191-107191, Article 107191

2022

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Sparse feature selection in multi-target modeling of carbonic anhydrase isoforms by exploiting shared information among multiple targets

Chemometrics and intelligent laboratory systems, 2020-05, Vol.200, p.104000, Article 104000

2020

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A robust graph-based semi-supervised sparse feature selection method

Information sciences, 2020-08, Vol.531, p.13-30

2020

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A survey on deep learning-based image forgery detection

Pattern recognition, 2023-12, Vol.144, p.109778, Article 109778

2023

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Constraint score for semi-supervised feature selection in ligand-and receptor-based QSAR on serine/threonine-protein kinase PLK3 inhibitors

Chemometrics and intelligent laboratory systems, 2017-04, Vol.163, p.31-40

2017

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Semi-supervised learning for the spatial extrapolation of soil information

Geoderma, 2022-11, Vol.426, p.116094, Article 116094

2022

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Proteochemometrics modeling for prediction of the interactions between caspase isoforms and their inhibitors

Molecular diversity, 2023-02, Vol.27 (1), p.249-261

2023

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Gene Identification from Microarray Data for Diagnosis of Acute Myeloid and Lymphoblastic Leukemia Using a Sparse Gene Selection Method

Iranian journal of pediatric hematology and oncology, 2021-01

2021

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In Silico Identification of Effective Genes for Acute Leukemia Classification Using a Spline Regression-based Framework

Iranian journal of pediatric hematology and oncology, 2024-01

2024

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Local scour depth at piles group exposed to regular waves: On the assessment of expressions based on classification concepts and evolutionary algorithms

An orchestra of machine learning methods reveals landmarks in single-cell data exemplified with aging fibroblasts

A local spline regression-based framework for semi-supervised sparse feature selection

Predicting age and gender from network telemetry: Implications for privacy and impact on policy

A Novel Network Coding Algorithm to Improve TCP in Wireless Networks

Particle swarm optimization for bandwidth determination and feature selection of kernel density estimation based classifiers in diagnosis of breast cancer

Hessian-based semi-supervised feature selection using generalized uncorrelated constraint

Semi-supervised sparse feature selection via graph Laplacian based scatter matrix for regression problems

An Energy Efficient Chain-based Routing Protocol for Wireless Sensor Networks

A Survey on semi-supervised feature selection methods

A new method for recommendation based on embedding spectral clustering in heterogeneous networks (RESCHet)

WSNMF: Weighted Symmetric Nonnegative Matrix Factorization for attributed graph clustering

Sparse feature selection using hypergraph Laplacian-based semi-supervised discriminant analysis

BRNS + SSFSM-DTI: A hybrid method for drug-target interaction prediction based on balanced reliable negative samples and semi-supervised feature selection

An Energy Efficient Chain-based Routing Protocol for Wireless Sensor Networks

Health-aware food recommendation system with dual attention in heterogeneous graphs

Drug-target interaction prediction using reliable negative samples and effective feature selection methods

Sparse feature selection in multi-target modeling of carbonic anhydrase isoforms by exploiting shared information among multiple targets

A robust graph-based semi-supervised sparse feature selection method

A survey on deep learning-based image forgery detection

Constraint score for semi-supervised feature selection in ligand-and receptor-based QSAR on serine/threonine-protein kinase PLK3 inhibitors

Semi-supervised learning for the spatial extrapolation of soil information

Proteochemometrics modeling for prediction of the interactions between caspase isoforms and their inhibitors

Gene Identification from Microarray Data for Diagnosis of Acute Myeloid and Lymphoblastic Leukemia Using a Sparse Gene Selection Method

In Silico Identification of Effective Genes for Acute Leukemia Classification Using a Spline Regression-based Framework

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