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Anomaly detection in dynamic attributed networks

Neural computing & applications, 2021-03, Vol.33 (6), p.2125-2136

2021

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Nonparallel Support Vector Ordinal Regression

IEEE transactions on cybernetics, 2017-10, Vol.47 (10), p.3306-3317

2017

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Forward Prediction and Inverse Design of Nanophotonic Devices Based on Capsule Network

IEEE photonics journal, 2022-08, Vol.14 (4), p.1-8

2022

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A Survey on Feature Selection

Procedia computer science, 2016, Vol.91, p.919-926

2016

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Learning With Label Proportions via NPSVM

IEEE transactions on cybernetics, 2017-10, Vol.47 (10), p.3293-3305

2017

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Feature Selection With \ell Regularization

IEEE transaction on neural networks and learning systems, 2018-10, Vol.29 (10), p.4967-4982

2018

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Learning Robust Auto-Encoders With Regularizer for Linearity and Sparsity

IEEE access, 2019, Vol.7, p.17195-17206

2019

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Transformed ℓ1 regularization for learning sparse deep neural networks

Neural networks, 2019-11, Vol.119, p.286-298

2019

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A Brief Survey on Learning Based Methods for Vehicle Routing Problems

Procedia computer science, 2023, Vol.221, p.773-780

2023

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Two-level adversarial attacks for graph neural networks

Information sciences, 2024-01, Vol.654, p.119877, Article 119877

2024

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Support vector machine classifier with truncated pinball loss

Pattern recognition, 2017-08, Vol.68, p.199-210

2017

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Sparse CapsNet with explicit regularizer

Pattern recognition, 2022-04, Vol.124, p.108486, Article 108486

2022

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Training the max-margin sequence model with the relaxed slack variables

Neural networks, 2012-09, Vol.33, p.228-235

2012

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Graph regularized locally linear embedding for unsupervised feature selection

Pattern recognition, 2022-02, Vol.122, p.108299, Article 108299

2022

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Wasserstein distance regularized graph neural networks

Information sciences, 2024-06, Vol.670, p.120608, Article 120608

2024

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Training Compact DNNs with ℓ1/2 Regularization

Pattern recognition, 2023-04, Vol.136, Article 109206

2023

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Diluted binary neural network

Pattern recognition, 2023-08, Vol.140, p.109556, Article 109556

2023

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Sparse optimization guided pruning for neural networks

Neurocomputing (Amsterdam), 2024-03, Vol.574, p.127280, Article 127280

2024

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DREAM: Drug-drug interaction extraction with enhanced dependency graph and attention mechanism

Methods (San Diego, Calif.), 2022-07, Vol.203, p.152-159

2022

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Federated learning with ℓ1 regularization

Pattern recognition letters, 2023-08, Vol.172, p.15-21

2023

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Training Compact DNNs with ℓ 1 / 2 Regularization

Pattern recognition, 2023-04, Vol.136, p.109206, Article 109206

2023

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Federated learning with ℓ 1 regularization

Pattern recognition letters, 2023-08, Vol.172, p.15-21

2023

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Diffusion network embedding

Pattern recognition, 2019-04, Vol.88, p.518-531

2019

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Two New Decomposition Algorithms for Training Bound-Constrained Support Vector Machines

Foundations of computing and decision sciences, 2015-03, Vol.40 (1), p.67-86

2015

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A lightweight network for COVID-19 detection in X-ray images

Methods (San Diego, Calif.), 2023-01, Vol.209, p.29-37

2023

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Anomaly detection in dynamic attributed networks

Nonparallel Support Vector Ordinal Regression

Forward Prediction and Inverse Design of Nanophotonic Devices Based on Capsule Network

A Survey on Feature Selection

Learning With Label Proportions via NPSVM

Feature Selection With \ell Regularization

Learning Robust Auto-Encoders With Regularizer for Linearity and Sparsity

Transformed ℓ1 regularization for learning sparse deep neural networks

A Brief Survey on Learning Based Methods for Vehicle Routing Problems

Two-level adversarial attacks for graph neural networks

Support vector machine classifier with truncated pinball loss

Sparse CapsNet with explicit regularizer

Training the max-margin sequence model with the relaxed slack variables

Graph regularized locally linear embedding for unsupervised feature selection

Wasserstein distance regularized graph neural networks

Training Compact DNNs with ℓ1/2 Regularization

Diluted binary neural network

Sparse optimization guided pruning for neural networks

DREAM: Drug-drug interaction extraction with enhanced dependency graph and attention mechanism

Federated learning with ℓ1 regularization

Training Compact DNNs with ℓ 1 / 2 Regularization

Federated learning with ℓ 1 regularization

Diffusion network embedding

Two New Decomposition Algorithms for Training Bound-Constrained Support Vector Machines

A lightweight network for COVID-19 detection in X-ray images

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