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Robust twin support vector regression based on Huber loss function

Neural computing & applications, 2020-08, Vol.32 (15), p.11285-11309

2020

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Robust Support Vector Regression in Primal with Asymmetric Huber Loss

Neural processing letters, 2019-06, Vol.49 (3), p.1399-1431

2019

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1-Norm extreme learning machine for regression and multiclass classification using Newton method

Neurocomputing (Amsterdam), 2014-03, Vol.128, p.4-14

2014

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Training Lagrangian twin support vector regression via unconstrained convex minimization

Knowledge-based systems, 2014-03, Vol.59, p.85-96

2014

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On optimization based extreme learning machine in primal for regression and classification by functional iterative method

International journal of machine learning and cybernetics, 2016-10, Vol.7 (5), p.707-728

2016

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Multi-part Analysis and Techniques for Air Traffic Speech Recognition

SAE International journal of aerospace, 2022-12, Vol.15 (2), Article 01-15-02-0014

2022

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Robust Pinball Twin Bounded Support Vector Machine for Data Classification

Neural processing letters, 2023-04, Vol.55 (2), p.1131-1153

2023

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DeepCPD: deep learning with vision transformer for colorectal polyp detection

Multimedia tools and applications, 2024-02, Vol.83 (32), p.78183-78206

2024

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Lagrangian support vector regression via unconstrained convex minimization

Neural networks, 2014-03, Vol.51, p.67-79

2014

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Training primal twin support vector regression via unconstrained convex minimization

Applied intelligence (Dordrecht, Netherlands), 2016-06, Vol.44 (4), p.931-955

2016

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Automatic Text Summarization by Providing Coverage, Non-Redundancy, and Novelty Using Sentence Graph

Journal of information technology research, 2022-06, Vol.15 (1), p.1-18

2022

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On a new approach for Lagrangian support vector regression

Neural computing & applications, 2018-05, Vol.29 (9), p.533-551

2018

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A new approach for training Lagrangian twin support vector machine via unconstrained convex minimization

Applied intelligence (Dordrecht, Netherlands), 2017, Vol.46 (1), p.124-134

2017

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Cost Optimization for Dynamic Content Delivery in Cloud-Based Content Delivery Network

Journal of information technology research, 2021-10, Vol.14 (4), p.18-32

2021

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A new approach for training Lagrangian support vector regression

Knowledge and information systems, 2016-12, Vol.49 (3), p.1097-1129

2016

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Summarizing Learning Materials Using Graph Based Multi-Document Summarization

International journal of web-based learning and teaching technologies, 2021-09, Vol.16 (5), p.39-57

2021

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A novel multi document summarization with document-elements augmentation for learning materials using concept based ILP and clustering methods

International journal of computers & applications, 2024-02, Vol.46 (2), p.78-89

2024

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Direct push–pull or assisted push–pull? Toward optimal video content delivery using shared storage-based cloud CDN (SS-CCDN)

The Journal of supercomputing, 2019-04, Vol.75 (4), p.2193-2220

2019

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Fine-Tuned T5 Transformer with LSTM and Spider Monkey Optimizer for Redundancy Reduction in Automatic Question Generation

SN computer science, 2024-06, Vol.5 (5), p.475, Article 475

2024

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Exploring the Effectiveness of Deep Learning Architectures for Colorectal Polyp Detection: Performance Analysis and Insights

SN computer science, 2024-06, Vol.5 (5), p.452, Article 452

2024

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On robust twin support vector regression in primal using squared pinball loss

Journal of intelligent & fuzzy systems, 2018-01, Vol.35 (5), p.5231-5239

2018

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Two-factor-based RSA key generation from fingerprint biometrics and password for secure communication

Complex & intelligent systems, 2022-08, Vol.8 (4), p.3247-3261

2022

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Outcomes of abo-incompatible kidney transplantation: Novel ways of reducing rejection, complications, and cost

Transplantation reports, 2023-06, Vol.8 (2), p.100127, Article 100127

2023

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Application of error minimized extreme learning machine for simultaneous learning of a function and its derivatives

Neurocomputing (Amsterdam), 2011-09, Vol.74 (16), p.2511-2519

2011

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On implicit Lagrangian twin support vector regression by Newton method

International journal of computational intelligence systems, 2014, Vol.7 (1), p.50-64

2014

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Robust twin support vector regression based on Huber loss function

Robust Support Vector Regression in Primal with Asymmetric Huber Loss

1-Norm extreme learning machine for regression and multiclass classification using Newton method

Training Lagrangian twin support vector regression via unconstrained convex minimization

On optimization based extreme learning machine in primal for regression and classification by functional iterative method

Multi-part Analysis and Techniques for Air Traffic Speech Recognition

Robust Pinball Twin Bounded Support Vector Machine for Data Classification

DeepCPD: deep learning with vision transformer for colorectal polyp detection

Lagrangian support vector regression via unconstrained convex minimization

Training primal twin support vector regression via unconstrained convex minimization

Automatic Text Summarization by Providing Coverage, Non-Redundancy, and Novelty Using Sentence Graph

On a new approach for Lagrangian support vector regression

A new approach for training Lagrangian twin support vector machine via unconstrained convex minimization

Cost Optimization for Dynamic Content Delivery in Cloud-Based Content Delivery Network

A new approach for training Lagrangian support vector regression

Summarizing Learning Materials Using Graph Based Multi-Document Summarization

A novel multi document summarization with document-elements augmentation for learning materials using concept based ILP and clustering methods

Direct push–pull or assisted push–pull? Toward optimal video content delivery using shared storage-based cloud CDN (SS-CCDN)

Fine-Tuned T5 Transformer with LSTM and Spider Monkey Optimizer for Redundancy Reduction in Automatic Question Generation

Exploring the Effectiveness of Deep Learning Architectures for Colorectal Polyp Detection: Performance Analysis and Insights

On robust twin support vector regression in primal using squared pinball loss

Two-factor-based RSA key generation from fingerprint biometrics and password for secure communication

Outcomes of abo-incompatible kidney transplantation: Novel ways of reducing rejection, complications, and cost

Application of error minimized extreme learning machine for simultaneous learning of a function and its derivatives

On implicit Lagrangian twin support vector regression by Newton method

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