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ASER: Adapted squared error relevance for rare cases prediction in imbalanced regression

Journal of chemometrics, 2023-11, Vol.37 (11)

2023

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Tuning model parameters in class‐imbalanced learning with precision‐recall curve

Biometrical journal, 2019-05, Vol.61 (3), p.652-664

2019

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Affine combination‐based over‐sampling for imbalanced regression

Journal of chemometrics, 2024-03, Vol.38 (3), p.n/a

2024

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Hellinger distance-based stable sparse feature selection for high-dimensional class-imbalanced data

BMC bioinformatics, 2020-03, Vol.21 (1), p.121-121, Article 121

2020

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LASSO‐based false‐positive selection for class‐imbalanced data in metabolomics

Journal of chemometrics, 2019-10, Vol.33 (10), p.n/a

2019

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SoySNP618K array: A high‐resolution single nucleotide polymorphism platform as a valuable genomic resource for soybean genetics and breeding

Journal of integrative plant biology, 2022-03, Vol.64 (3), p.632-648

2022

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A Double-Penalized Estimator to Combat Separation and Multicollinearity in Logistic Regression

Mathematics (Basel), 2022-10, Vol.10 (20), p.3824

2022

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A potential association of RNF219‐AS1 with ADHD: Evidence from categorical analysis of clinical phenotypes and from quantitative exploration of executive function and white matter microstructure endophenotypes

CNS neuroscience & therapeutics, 2021-05, Vol.27 (5), p.603-616

2021

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AWSMOTE: An SVM-Based Adaptive Weighted SMOTE for Class-Imbalance Learning

Scientific programming, 2021-05, Vol.2021, p.1-18

2021

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Characterization of the petiole length in soybean compact architecture mutant M657 and the breeding of new lines

Journal of Integrative Agriculture, 2022-01, Vol.21 (9), p.2508-2520

2022

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An adaptive loss backward feature elimination method for class-imbalanced and mixed-type data in medical diagnosis

Chemometrics and intelligent laboratory systems, 2023-05, Vol.236, p.104809, Article 104809

2023

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Feature Ranking and Screening for Class-Imbalanced Metabolomics Data Based on Rank Aggregation Coupled with Re-Balance

Metabolites, 2021-06, Vol.11 (6), p.389

2021

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Feature selection and classification by minimizing overlap degree for class-imbalanced data in metabolomics

Chemometrics and intelligent laboratory systems, 2020-01, Vol.196, p.103906, Article 103906

2020

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Response of growth and development of the Pacific oyster (Crassostrea gigas) to thermal discharge from a nuclear power plant

BMC ecology, 2018-09, Vol.18 (1), p.31-31, Article 31

2018

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Stable variable selection of class-imbalanced data with precision-recall criterion

Chemometrics and intelligent laboratory systems, 2017-12, Vol.171, p.241-250

2017

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A Comparison of Sparse Partial Least Squares and Elastic Net in Wavelength Selection on NIR Spectroscopy Data

International journal of analytical chemistry, 2019, Vol.2019 (2019), p.1-12

2019

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Stable biomarker screening and classification by subsampling-based sparse regularization coupled with support vector machines in metabolomics

Chemometrics and intelligent laboratory systems, 2017-01, Vol.160, p.22-31

2017

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Combination of kernel PCA and linear support vector machine for modeling a nonlinear relationship between bioactivity and molecular descriptors

Journal of chemometrics, 2011-02, Vol.25 (2), p.92-99

2011

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Bone formation in subcutaneous pocket after bone flap preservation

Clinical case reports, 2016-05, Vol.4 (5), p.473-476

2016

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Exploring nonlinear relationships in chemical data using kernel-based methods

Chemometrics and intelligent laboratory systems, 2011-05, Vol.107 (1), p.106-115

2011

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Early care of acute hyperglycemia benefits the outcome of traumatic brain injury in rats

Brain research, 2016-11, Vol.1650, p.112-117

2016

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Elastic Net Grouping Variable Selection Combined with Partial Least Squares Regression (EN-PLSR) for the Analysis of Strongly Multi-Collinear Spectroscopic Data

Applied spectroscopy, 2011-04, Vol.65 (4), p.402-408

2011

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Group Variable Selection with Oracle Property by Weight-Fused Adaptive Elastic Net Model for Strongly Correlated Data

Communications in statistics. Simulation and computation, 2014-11, Vol.43 (10), p.2468-2481

2014

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Sparse feature selection and rare value prediction in imbalanced regression

Information sciences, 2024-10, Vol.680, p.121145, Article 121145

2024

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Grouping Variable Selection by Weight Fused Elastic Net for Multi-Collinear Data

Communications in statistics. Simulation and computation, 2012-02, Vol.41 (2), p.205-221

2012

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ASER: Adapted squared error relevance for rare cases prediction in imbalanced regression

Tuning model parameters in class‐imbalanced learning with precision‐recall curve

Affine combination‐based over‐sampling for imbalanced regression

Hellinger distance-based stable sparse feature selection for high-dimensional class-imbalanced data

LASSO‐based false‐positive selection for class‐imbalanced data in metabolomics

SoySNP618K array: A high‐resolution single nucleotide polymorphism platform as a valuable genomic resource for soybean genetics and breeding

A Double-Penalized Estimator to Combat Separation and Multicollinearity in Logistic Regression

A potential association of RNF219‐AS1 with ADHD: Evidence from categorical analysis of clinical phenotypes and from quantitative exploration of executive function and white matter microstructure endophenotypes

AWSMOTE: An SVM-Based Adaptive Weighted SMOTE for Class-Imbalance Learning

Characterization of the petiole length in soybean compact architecture mutant M657 and the breeding of new lines

An adaptive loss backward feature elimination method for class-imbalanced and mixed-type data in medical diagnosis

Feature Ranking and Screening for Class-Imbalanced Metabolomics Data Based on Rank Aggregation Coupled with Re-Balance

Feature selection and classification by minimizing overlap degree for class-imbalanced data in metabolomics

Response of growth and development of the Pacific oyster (Crassostrea gigas) to thermal discharge from a nuclear power plant

Stable variable selection of class-imbalanced data with precision-recall criterion

A Comparison of Sparse Partial Least Squares and Elastic Net in Wavelength Selection on NIR Spectroscopy Data

Stable biomarker screening and classification by subsampling-based sparse regularization coupled with support vector machines in metabolomics

Combination of kernel PCA and linear support vector machine for modeling a nonlinear relationship between bioactivity and molecular descriptors

Bone formation in subcutaneous pocket after bone flap preservation

Exploring nonlinear relationships in chemical data using kernel-based methods

Early care of acute hyperglycemia benefits the outcome of traumatic brain injury in rats

Elastic Net Grouping Variable Selection Combined with Partial Least Squares Regression (EN-PLSR) for the Analysis of Strongly Multi-Collinear Spectroscopic Data

Group Variable Selection with Oracle Property by Weight-Fused Adaptive Elastic Net Model for Strongly Correlated Data

Sparse feature selection and rare value prediction in imbalanced regression

Grouping Variable Selection by Weight Fused Elastic Net for Multi-Collinear Data

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