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A comparative study for determining Covid-19 risk levels by unsupervised machine learning methods

Expert systems with applications, 2022-03, Vol.190, p.116243-116243, Article 116243

2022

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A two-stage clustering ensemble algorithm applicable to risk assessment of railway signaling faults

Expert systems with applications, 2024-09, Vol.249, Article 123500

2024

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SOINN+, a Self-Organizing Incremental Neural Network for Unsupervised Learning from Noisy Data Streams

Expert systems with applications, 2020-04, Vol.143, p.113069, Article 113069

2020

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A hybrid machine learning approach for prediction of conversion from mild cognitive impairment to dementia

Expert systems with applications, 2023-05, Vol.217, p.119541, Article 119541

2023

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Extractive summarization using supervised and unsupervised learning

Expert systems with applications, 2019-11, Vol.133, p.173-181

2019

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Unsupervised corrupt data detection for text training

Expert systems with applications, 2024-08, Vol.248, p.123335, Article 123335

Liu, Peiyang

2024

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A hybrid method of link prediction in directed graphs

Expert systems with applications, 2021-03, Vol.165, p.113896, Article 113896

2021

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Word-sentence co-ranking for automatic extractive text summarization

Expert systems with applications, 2017-04, Vol.72, p.189-195

2017

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Rule extraction in unsupervised anomaly detection for model explainability: Application to OneClass SVM

Expert systems with applications, 2022-03, Vol.189, p.116100, Article 116100

2022

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A Hybrid and Light Weight Metaheuristic Approach with Clustering for Multi-Objective Resource Scheduling and Application Placement in Fog Environment

Expert systems with applications, 2023-08, Vol.223, p.119895, Article 119895

2023

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A two-step hybrid unsupervised model with attention mechanism for aspect extraction

Expert systems with applications, 2020-12, Vol.161, p.113673, Article 113673

2020

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Unsupervised neural networks as a support tool for pathology diagnosis in MALDI-MSI experiments: A case study on thyroid biopsies

Expert systems with applications, 2023-04, Vol.215, p.119296, Article 119296

2023

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On the relative value of clustering techniques for Unsupervised Effort-Aware Defect Prediction

Expert systems with applications, 2024-07, Vol.245, p.123041, Article 123041

2024

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Enhancing a Pairs Trading strategy with the application of Machine Learning

Expert systems with applications, 2020-11, Vol.158, p.113490, Article 113490

2020

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Unsupervised learning for human activity recognition using smartphone sensors

Expert systems with applications, 2014-10, Vol.41 (14), p.6067-6074

2014

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Mel Spectrogram-based advanced deep temporal clustering model with unsupervised data for fault diagnosis

Expert systems with applications, 2023-05, Vol.217, p.119551, Article 119551

2023

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A novel cross-domain adaptation framework for unsupervised criminal jargon detection via pre-trained contextual embedding of darknet corpus

Expert systems with applications, 2024-05, Vol.242, p.122715, Article 122715

2024

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Cloud service provisioning strategy using data center consortium clustering

Expert systems with applications, 2023-07, Vol.221, p.119744, Article 119744

2023

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Tax evasion risk management using a Hybrid Unsupervised Outlier Detection method

Expert systems with applications, 2022-05, Vol.193, p.116409, Article 116409

2022

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Unsupervised machine learning approach for building composite indicators with fuzzy metrics

Expert systems with applications, 2022-08, Vol.200, p.116927, Article 116927

2022

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Interaction graph, topical communities, and efficient local event detection from social streams

Expert systems with applications, 2023-12, Vol.232, p.120890, Article 120890

2023

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Two unsupervised learning algorithms for detecting abnormal inactivity within a household based on smart meter data

Expert systems with applications, 2023-11, Vol.230, p.120565, Article 120565

2023

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Opt-TCAE: Optimal temporal convolutional auto-encoder for boiler tube leakage detection in a thermal power plant using multi-sensor data

Expert systems with applications, 2023-04, Vol.215, p.119377, Article 119377

2023

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Talking human face generation: A survey

Expert systems with applications, 2023-06, Vol.219, p.119678, Article 119678

2023

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Penalized nonnegative matrix tri-factorization for co-clustering

Expert systems with applications, 2017-07, Vol.78, p.64-73

2017

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A comparative study for determining Covid-19 risk levels by unsupervised machine learning methods

A two-stage clustering ensemble algorithm applicable to risk assessment of railway signaling faults

SOINN+, a Self-Organizing Incremental Neural Network for Unsupervised Learning from Noisy Data Streams

A hybrid machine learning approach for prediction of conversion from mild cognitive impairment to dementia

Extractive summarization using supervised and unsupervised learning

Unsupervised corrupt data detection for text training

A hybrid method of link prediction in directed graphs

Word-sentence co-ranking for automatic extractive text summarization

Rule extraction in unsupervised anomaly detection for model explainability: Application to OneClass SVM

A Hybrid and Light Weight Metaheuristic Approach with Clustering for Multi-Objective Resource Scheduling and Application Placement in Fog Environment

A two-step hybrid unsupervised model with attention mechanism for aspect extraction

Unsupervised neural networks as a support tool for pathology diagnosis in MALDI-MSI experiments: A case study on thyroid biopsies

On the relative value of clustering techniques for Unsupervised Effort-Aware Defect Prediction

Enhancing a Pairs Trading strategy with the application of Machine Learning

Unsupervised learning for human activity recognition using smartphone sensors

Mel Spectrogram-based advanced deep temporal clustering model with unsupervised data for fault diagnosis

A novel cross-domain adaptation framework for unsupervised criminal jargon detection via pre-trained contextual embedding of darknet corpus

Cloud service provisioning strategy using data center consortium clustering

Tax evasion risk management using a Hybrid Unsupervised Outlier Detection method

Unsupervised machine learning approach for building composite indicators with fuzzy metrics

Interaction graph, topical communities, and efficient local event detection from social streams

Two unsupervised learning algorithms for detecting abnormal inactivity within a household based on smart meter data

Opt-TCAE: Optimal temporal convolutional auto-encoder for boiler tube leakage detection in a thermal power plant using multi-sensor data

Talking human face generation: A survey

Penalized nonnegative matrix tri-factorization for co-clustering

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