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Tweet Topics and Sentiments Relating to COVID-19 Vaccination Among Australian Twitter Users: Machine Learning Analysis

Journal of medical Internet research, 2021-05, Vol.23 (5), p.e26953-e26953

2021

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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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Smooth particle hydrodynamics studies of wet granular column collapses

Acta geotechnica, 2020-05, Vol.15 (5), p.1205-1217

2020

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Machine learning ensemble model prediction of northward shift in potato cyst nematodes (Globodera rostochiensis and G. pallida) distribution under climate change conditions

Journal of Integrative Agriculture, 2024-10, Vol.23 (10), p.3576-3591

2024

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Seasonal and Year-Round Distributions of Bactrocera dorsalis (Hendel) and Its Risk to Temperate Fruits under Climate Change

Insects (Basel, Switzerland), 2022-06, Vol.13 (6), p.550

2022

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An artificial intelligence approach for predicting death or organ failure after hospitalization for COVID-19: development of a novel risk prediction tool and comparisons with ISARIC-4C, CURB-65, qSOFA, and MEWS scoring systems

Respiratory research, 2023-03, Vol.24 (1), p.79-16, Article 79

2023

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A review of irregular time series data handling with gated recurrent neural networks

Neurocomputing (Amsterdam), 2021-06, Vol.441, p.161-178

2021

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An accuracy-maximization learning framework for supervised and semi-supervised imbalanced data

Knowledge-based systems, 2022-11, Vol.255, p.109678, Article 109678

2022

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BE-ELM: Biological ensemble Extreme Learning Machine without the need of explicit aggregation

Expert systems with applications, 2023-11, Vol.230, p.120677, Article 120677

2023

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Artificial intelligence in perinatal mental health research: A scoping review

Computers in biology and medicine, 2024-07, Vol.177, p.108685-108685, Article 108685

2024

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AUC-Based Extreme Learning Machines for Supervised and Semi-Supervised Imbalanced Classification

IEEE transactions on systems, man, and cybernetics. Systems, 2021-12, Vol.51 (12), p.7919-7930

2021

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TSK fuzzy system fusion at sensitivity-ensemble-level for imbalanced data classification

Information fusion, 2023-04, Vol.92, p.350-362

2023

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Seizure Classification From EEG Signals Using Transfer Learning, Semi-Supervised Learning and TSK Fuzzy System

IEEE transactions on neural systems and rehabilitation engineering, 2017-12, Vol.25 (12), p.2270-2284

2017

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Anisotropic electrical and abrasion-sensing properties of cement-based composites containing aligned nickel powder

Cement & concrete composites, 2018-03, Vol.87, p.130-136

2018

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Continuum Modeling and Simulation of Robotic Appendage Interaction With Granular Material

Journal of applied mechanics, 2021-02, Vol.88 (2)

2021

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Detection of epilepsy with Electroencephalogram using rule-based classifiers

Neurocomputing (Amsterdam), 2017-03, Vol.228, p.283-290

2017

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Pseudolabel Enhanced Multiview Deep Concept Factorization Fuzzy Clustering

IEEE transactions on fuzzy systems, 2024-09, Vol.32 (9), p.5334-5347

2024

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Deep Reconciled & Self-Paced TSK Fuzzy System Ensemble for Imbalanced Data Classification: Architecture, Interpretability and Theory

IEEE transactions on fuzzy systems, 2024-08, p.1-13

2024

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Graph Fuzzy System for the Whole Graph Prediction: Concepts, Models, and Algorithms

IEEE transactions on fuzzy systems, 2024-03, Vol.32 (3), p.1383-1398

2024

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Tackling Missing Data in Community Health Studies Using Additive LS-SVM Classifier

IEEE journal of biomedical and health informatics, 2018-03, Vol.22 (2), p.579-587

2018

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A two-view deep interpretable TSK fuzzy classifier under mutually teachable classification criterion

Information sciences, 2024-04, Vol.665, p.120388, Article 120388

2024

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A Transfer-Based Additive LS-SVM Classifier for Handling Missing Data

IEEE transactions on cybernetics, 2020-02, Vol.50 (2), p.739-752

2020

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A Deep-Ensemble-Level-Based Interpretable Takagi-Sugeno-Kang Fuzzy Classifier for Imbalanced Data

IEEE transactions on cybernetics, 2022-05, Vol.52 (5), p.3805-3818

2022

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Maxent modelling combined with fuzzy logic provides new insights into Predicting the distribution of potato cyst nematodes with limited data

Computers and electronics in agriculture, 2024-07, Vol.222, p.109035, Article 109035

2024

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A Novel AUC Maximization Imbalanced Learning Approach for Predicting Composite Outcomes in COVID-19 Hospitalized Patients

IEEE journal of biomedical and health informatics, 2023-08, Vol.27 (8), p.1-14

2023

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Tweet Topics and Sentiments Relating to COVID-19 Vaccination Among Australian Twitter Users: Machine Learning Analysis

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

Smooth particle hydrodynamics studies of wet granular column collapses

Machine learning ensemble model prediction of northward shift in potato cyst nematodes (Globodera rostochiensis and G. pallida) distribution under climate change conditions

Seasonal and Year-Round Distributions of Bactrocera dorsalis (Hendel) and Its Risk to Temperate Fruits under Climate Change

An artificial intelligence approach for predicting death or organ failure after hospitalization for COVID-19: development of a novel risk prediction tool and comparisons with ISARIC-4C, CURB-65, qSOFA, and MEWS scoring systems

A review of irregular time series data handling with gated recurrent neural networks

An accuracy-maximization learning framework for supervised and semi-supervised imbalanced data

BE-ELM: Biological ensemble Extreme Learning Machine without the need of explicit aggregation

Artificial intelligence in perinatal mental health research: A scoping review

AUC-Based Extreme Learning Machines for Supervised and Semi-Supervised Imbalanced Classification

TSK fuzzy system fusion at sensitivity-ensemble-level for imbalanced data classification

Seizure Classification From EEG Signals Using Transfer Learning, Semi-Supervised Learning and TSK Fuzzy System

Anisotropic electrical and abrasion-sensing properties of cement-based composites containing aligned nickel powder

Continuum Modeling and Simulation of Robotic Appendage Interaction With Granular Material

Detection of epilepsy with Electroencephalogram using rule-based classifiers

Pseudolabel Enhanced Multiview Deep Concept Factorization Fuzzy Clustering

Deep Reconciled & Self-Paced TSK Fuzzy System Ensemble for Imbalanced Data Classification: Architecture, Interpretability and Theory

Graph Fuzzy System for the Whole Graph Prediction: Concepts, Models, and Algorithms

Tackling Missing Data in Community Health Studies Using Additive LS-SVM Classifier

A two-view deep interpretable TSK fuzzy classifier under mutually teachable classification criterion

A Transfer-Based Additive LS-SVM Classifier for Handling Missing Data

A Deep-Ensemble-Level-Based Interpretable Takagi-Sugeno-Kang Fuzzy Classifier for Imbalanced Data

Maxent modelling combined with fuzzy logic provides new insights into Predicting the distribution of potato cyst nematodes with limited data

A Novel AUC Maximization Imbalanced Learning Approach for Predicting Composite Outcomes in COVID-19 Hospitalized Patients

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