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An unified scalarization and Ekeland’s variational principle for partial set order

Computational & applied mathematics, 2024-02, Vol.43 (1), Article 45

2024

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Capped Linex Metric Twin Support Vector Machine for Robust Classification

Sensors (Basel, Switzerland), 2022-09, Vol.22 (17), p.6583

2022

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Optimality conditions for strict minimizers of higher-order in semi-infinite multi-objective optimization

Journal of inequalities and applications, 2016-10, Vol.2016 (1), p.1-13, Article 263

Yu, Guolin

2016

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Strict Vector Equilibrium Problems of Multi-Product Supply–Demand Networks with Capacity Constraints and Uncertain Demands

Axioms, 2024-04, Vol.13 (4), p.263

2024

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Lagrangian Regularized Twin Extreme Learning Machine for Supervised and Semi-Supervised Classification

Symmetry (Basel), 2022-06, Vol.14 (6), p.1186

2022

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Strong duality for standard convex programs

Mathematical methods of operations research (Heidelberg, Germany), 2021-12, Vol.94 (3), p.413-436

2021

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Capped L2,p-Norm Metric Based on Robust Twin Support Vector Machine with Welsch Loss

Symmetry (Basel), 2023-05, Vol.15 (5), p.1076

2023

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Optimality Conditions of the Approximate Efficiency for Nonsmooth Robust Multiobjective Fractional Semi-Infinite Optimization Problems

Axioms, 2023-07, Vol.12 (7), p.635

2023

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A Novel Robust Metric Distance Optimization-Driven Manifold Learning Framework for Semi-Supervised Pattern Classification

Axioms, 2023-08, Vol.12 (8), p.737

2023

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Distance Metric Optimization-Driven Neural Network Learning Framework for Pattern Classification

Axioms, 2023-08, Vol.12 (8), p.765

2023

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Graphene in proximity to magnetic insulating LaMnO3

Applied physics letters, 2014-09, Vol.105 (13)

2014

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A class of generalized invex functions and vector variational-like inequalities

Journal of inequalities and applications, 2017-04, Vol.2017 (1), p.1-14, Article 70

2017

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Optimality Conditions for a Nonsmooth Uncertain Multiobjective Programming Problem

Complexity (New York, N.Y.), 2020, Vol.2020 (2020), p.1-8

2020

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Robust adaptive learning framework for semi-supervised pattern classification

Signal processing, 2024-11, Vol.224, p.109594, Article 109594

2024

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Distribution-free Bayesian regularized learning framework for semi-supervised learning

Neural networks, 2024-06, Vol.174, p.106262-106262, Article 106262

2024

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Optimality Conditions and Scalarization of Approximate Quasi Weak Efficient Solutions for Vector Equilibrium Problem

Complexity (New York, N.Y.), 2020, Vol.2020 (2020), p.1-7

2020

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A generalized adaptive robust distance metric driven smooth regularization learning framework for pattern recognition

Signal processing, 2023-10, Vol.211, p.109102, Article 109102

2023

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Synthetic Method and Oil Displacement Capacity of Nano-MoS2

Geofluids, 2022, Vol.2022, p.1-10

2022

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Optimality and error bound for set optimization with application to uncertain multi-objective programming

Journal of global optimization, 2024-04, Vol.88 (4), p.979-998

2024

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Multi-objective estimation of Estimation of Distribution Algorithm based on the Simulated binary Crossover

Journal of Convergence Information Technology, 2012-02, Vol.7 (3), p.110-116

-, Guolin Yu

2012

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Optimality and duality in set-valued optimization utilizing limit sets

Open mathematics (Warsaw, Poland), 2018-10, Vol.16 (1), p.1128-1139

2018

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Characterizations of multi-objective robustness solutions defined by Minkowski set difference

OR Spectrum, 2023-12, Vol.45 (4), p.1361-1380

2023

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Strained HgTe plates grown on SrTiO3 investigated by micro-Raman mapping

Journal of applied physics, 2016-09, Vol.120 (11)

2016

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Optimality for set-valued optimization in the sense of vector and set criteria

Journal of inequalities and applications, 2017-02, Vol.2017 (1), p.1-11, Article 47

2017

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Regularized twin minimax probability machine for pattern classification and regression

Engineering applications of artificial intelligence, 2022-01, Vol.107, p.104550, Article 104550

2022

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An unified scalarization and Ekeland’s variational principle for partial set order

Capped Linex Metric Twin Support Vector Machine for Robust Classification

Optimality conditions for strict minimizers of higher-order in semi-infinite multi-objective optimization

Strict Vector Equilibrium Problems of Multi-Product Supply–Demand Networks with Capacity Constraints and Uncertain Demands

Lagrangian Regularized Twin Extreme Learning Machine for Supervised and Semi-Supervised Classification

Strong duality for standard convex programs

Capped L2,p-Norm Metric Based on Robust Twin Support Vector Machine with Welsch Loss

Optimality Conditions of the Approximate Efficiency for Nonsmooth Robust Multiobjective Fractional Semi-Infinite Optimization Problems

A Novel Robust Metric Distance Optimization-Driven Manifold Learning Framework for Semi-Supervised Pattern Classification

Distance Metric Optimization-Driven Neural Network Learning Framework for Pattern Classification

Graphene in proximity to magnetic insulating LaMnO3

A class of generalized invex functions and vector variational-like inequalities

Optimality Conditions for a Nonsmooth Uncertain Multiobjective Programming Problem

Robust adaptive learning framework for semi-supervised pattern classification

Distribution-free Bayesian regularized learning framework for semi-supervised learning

Optimality Conditions and Scalarization of Approximate Quasi Weak Efficient Solutions for Vector Equilibrium Problem

A generalized adaptive robust distance metric driven smooth regularization learning framework for pattern recognition

Synthetic Method and Oil Displacement Capacity of Nano-MoS2

Optimality and error bound for set optimization with application to uncertain multi-objective programming

Multi-objective estimation of Estimation of Distribution Algorithm based on the Simulated binary Crossover

Optimality and duality in set-valued optimization utilizing limit sets

Characterizations of multi-objective robustness solutions defined by Minkowski set difference

Strained HgTe plates grown on SrTiO3 investigated by micro-Raman mapping

Optimality for set-valued optimization in the sense of vector and set criteria

Regularized twin minimax probability machine for pattern classification and regression

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