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Fuzzy Density Peaks Clustering

IEEE transactions on fuzzy systems, 2021-07, Vol.29 (7), p.1-1

2021

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A Novel Deep Fuzzy Classifier by Stacking Adversarial Interpretable TSK Fuzzy Sub-Classifiers With Smooth Gradient Information

IEEE transactions on fuzzy systems, 2020-07, Vol.28 (7), p.1369-1382

2020

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Deep Network Embedding for Graph Representation Learning in Signed Networks

IEEE transactions on cybernetics, 2020-04, Vol.50 (4), p.1556-1568

2020

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Deep TSK Fuzzy Classifier With Stacked Generalization and Triplely Concise Interpretability Guarantee for Large Data

IEEE transactions on fuzzy systems, 2017-10, Vol.25 (5), p.1207-1221

2017

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Transfer Prototype-Based Fuzzy Clustering

IEEE transactions on fuzzy systems, 2016-10, Vol.24 (5), p.1210-1232

2016

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Network Together: Node Classification via Cross-Network Deep Network Embedding

IEEE transaction on neural networks and learning systems, 2021-05, Vol.32 (5), p.1935-1948

2021

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Bayesian Takagi-Sugeno-Kang Fuzzy Classifier

IEEE transactions on fuzzy systems, 2017-12, Vol.25 (6), p.1655-1671

2017

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A Novel Style Takagi-Sugeno-Kang Fuzzy Classifier With Its Fast Training on Style Data

IEEE transactions on circuits and systems for video technology, 2024-04, Vol.34 (4), p.2814-2831

2024

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A Cognitively Confidence-Debiased Adversarial Fuzzy Apriori Method

IEEE transactions on fuzzy systems, 2024-03, Vol.32 (3), p.1303-1317

2024

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Recognition of Epileptic EEG Signals Using a Novel Multiview TSK Fuzzy System

IEEE transactions on fuzzy systems, 2017-02, Vol.25 (1), p.3-20

2017

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A Multiview and Multiexemplar Fuzzy Clustering Approach: Theoretical Analysis and Experimental Studies

IEEE transactions on fuzzy systems, 2019-08, Vol.27 (8), p.1543-1557

2019

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MetaGC-MC: A graph-based meta-learning approach to cold-start recommendation with/without auxiliary information

Information sciences, 2023-04, Vol.623, p.791-811

2023

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Biologically Plausible Fuzzy-Knowledge-Out and Its Induced Wide Learning of Interpretable TSK Fuzzy Classifiers

IEEE transactions on fuzzy systems, 2020-07, Vol.28 (7), p.1276-1290

2020

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Generalized Fuzzy C-Means Clustering Algorithm With Improved Fuzzy Partitions

IEEE transactions on cybernetics, 2009-06, Vol.39 (3), p.578-591

2009

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Enhanced Fuzzy Random Forest by Using Doubly Randomness and Copying From Dynamic Dictionary Attributes

IEEE transactions on fuzzy systems, 2022-10, Vol.30 (10), p.4369-4383

2022

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Cross-Network Learning With Fuzzy Labels for Seed Selection and Graph Sparsification in Influence Maximization

IEEE transactions on fuzzy systems, 2020-09, Vol.28 (9), p.2195-2208

2020

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Recognition of Multiclass Epileptic EEG Signals Based on Knowledge and Label Space Inductive Transfer

IEEE transactions on neural systems and rehabilitation engineering, 2019-04, Vol.27 (4), p.630-642

2019

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KAT: A Knowledge Adversarial Training Method for Zero-Order Takagi-Sugeno-Kang Fuzzy Classifiers

IEEE transactions on cybernetics, 2022-07, Vol.PP (7), p.1-15

2022

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Distance metric learning for soft subspace clustering in composite kernel space

Pattern recognition, 2016-04, Vol.52, p.113-134

2016

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Stacked Robust Adaptively Regularized Auto-Regressions for Domain Adaptation

IEEE transactions on knowledge and data engineering, 2019-03, Vol.31 (3), p.561-574

2019

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Collaborative Fuzzy Clustering From Multiple Weighted Views

IEEE transactions on cybernetics, 2015-04, Vol.45 (4), p.688-701

2015

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Multi-Label Bioinformatics Data Classification With Ensemble Embedded Feature Selection

IEEE access, 2019, Vol.7, p.103863-103875

2019

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An Interpretable Fuzzy DBN-Based Classifier for Indoor User Movement Prediction in Ambient Assisted Living Applications

IEEE transactions on industrial informatics, 2020-01, Vol.16 (1), p.42-53

2020

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Improving Generalizability of Graph Anomaly Detection Models Via Data Augmentation

IEEE transactions on knowledge and data engineering, 2023-12, Vol.35 (12), p.1-14

2023

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Multitask TSK Fuzzy System Modeling by Mining Intertask Common Hidden Structure

IEEE transactions on cybernetics, 2015-03, Vol.45 (3), p.534-547

2015

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Fuzzy Density Peaks Clustering

A Novel Deep Fuzzy Classifier by Stacking Adversarial Interpretable TSK Fuzzy Sub-Classifiers With Smooth Gradient Information

Deep Network Embedding for Graph Representation Learning in Signed Networks

Deep TSK Fuzzy Classifier With Stacked Generalization and Triplely Concise Interpretability Guarantee for Large Data

Transfer Prototype-Based Fuzzy Clustering

Network Together: Node Classification via Cross-Network Deep Network Embedding

Bayesian Takagi-Sugeno-Kang Fuzzy Classifier

A Novel Style Takagi-Sugeno-Kang Fuzzy Classifier With Its Fast Training on Style Data

A Cognitively Confidence-Debiased Adversarial Fuzzy Apriori Method

Recognition of Epileptic EEG Signals Using a Novel Multiview TSK Fuzzy System

A Multiview and Multiexemplar Fuzzy Clustering Approach: Theoretical Analysis and Experimental Studies

MetaGC-MC: A graph-based meta-learning approach to cold-start recommendation with/without auxiliary information

Biologically Plausible Fuzzy-Knowledge-Out and Its Induced Wide Learning of Interpretable TSK Fuzzy Classifiers

Generalized Fuzzy C-Means Clustering Algorithm With Improved Fuzzy Partitions

Enhanced Fuzzy Random Forest by Using Doubly Randomness and Copying From Dynamic Dictionary Attributes

Cross-Network Learning With Fuzzy Labels for Seed Selection and Graph Sparsification in Influence Maximization

Recognition of Multiclass Epileptic EEG Signals Based on Knowledge and Label Space Inductive Transfer

KAT: A Knowledge Adversarial Training Method for Zero-Order Takagi-Sugeno-Kang Fuzzy Classifiers

Distance metric learning for soft subspace clustering in composite kernel space

Stacked Robust Adaptively Regularized Auto-Regressions for Domain Adaptation

Collaborative Fuzzy Clustering From Multiple Weighted Views

Multi-Label Bioinformatics Data Classification With Ensemble Embedded Feature Selection

An Interpretable Fuzzy DBN-Based Classifier for Indoor User Movement Prediction in Ambient Assisted Living Applications

Improving Generalizability of Graph Anomaly Detection Models Via Data Augmentation

Multitask TSK Fuzzy System Modeling by Mining Intertask Common Hidden Structure

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