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Unsupervised K-Means Clustering Algorithm

IEEE access, 2020, Vol.8, p.80716-80727

2020

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An Adversarial Learning Approach to Medical Image Synthesis for Lesion Detection

IEEE journal of biomedical and health informatics, 2020-08, Vol.24 (8), p.2303-2314

2020

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Unsupervised Learning for Cell-Level Visual Representation in Histopathology Images With Generative Adversarial Networks

IEEE journal of biomedical and health informatics, 2019-05, Vol.23 (3), p.1316-1328

2019

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IEEE_Xplore

Unsupervised Multi-View K-Means Clustering Algorithm

IEEE access, 2023-01, Vol.11, p.1-1

2023

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SAGES: Scalable Attributed Graph Embedding With Sampling for Unsupervised Learning

IEEE transactions on knowledge and data engineering, 2023-05, Vol.35 (5), p.5216-5229

2023

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IEEE_Xplore

Toward Securing Federated Learning Against Poisoning Attacks in Zero Touch B5G Networks

IEEE eTransactions on network and service management, 2023-06, Vol.20 (2), p.1612-1624

2023

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IEEE_Xplore

Deep Unsupervised Learning for Optimization With Box and Monotone Matrix Based Polytope Constraints: A Case-Study of D2D Wireless Networks

IEEE wireless communications letters, 2023-12, Vol.12 (12), p.2223-2227

2023

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IEEE_Xplore

A Comprehensive Survey of Machine Learning Methods for Surveillance Videos Anomaly Detection

IEEE access, 2023, Vol.11, p.114680-114713

2023

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Comparative Analysis of Intrusion Detection Systems and Machine Learning-Based Model Analysis Through Decision Tree

IEEE access, 2023, Vol.11, p.80348-80391

2023

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Mining tasks and task characteristics from electronic health record audit logs with unsupervised machine learning

Journal of the American Medical Informatics Association : JAMIA, 2021-06, Vol.28 (6), p.1168-1177

2021

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Analysis of Wind Characteristics for Grid-Tied Wind Turbine Generator Using Incremental Generative Adversarial Network Model

IEEE access, 2024-01, Vol.12, p.1-1

2024

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Fully Unsupervised Person Re-Identification via Multiple Pseudo Labels Joint Training

IEEE access, 2021, Vol.9, p.165120-165131

2021

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Subgraph augmented non-negative tensor factorization (SANTF) for modeling clinical narrative text

Journal of the American Medical Informatics Association : JAMIA, 2015-09, Vol.22 (5), p.1009-1019

2015

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DDC-Outlier: Preventing Medication Errors Using Unsupervised Learning

IEEE journal of biomedical and health informatics, 2019-03, Vol.23 (2), p.874-881

2019

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IEEE_Xplore

Class-Variational Learning with Capsule Networks for Deep Entity-Subspace Clustering

IEEE access, 2023-01, Vol.11, p.1-1

2023

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Implicit Irregularity Detection Using Unsupervised Learning on Daily Behaviors

IEEE journal of biomedical and health informatics, 2020-01, Vol.24 (1), p.131-143

2020

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IEEE_Xplore

Unsupervised machine learning for managing safety accidents in railway stations

IEEE access, 2023-01, Vol.11, p.1-1

2023

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Learning Multicast Patterns for Efficient BIER Forwarding With P4

IEEE eTransactions on network and service management, 2023-06, Vol.20 (2), p.1238-1253

2023

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IEEE_Xplore

Restoration of Single Sand-Dust Image Based on Style Transformation and Unsupervised Adversarial Learning

IEEE access, 2022, Vol.10, p.90092-90100

2022

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Deep embedded multi-view clustering with collaborative training

Information sciences, 2021-09, Vol.573, p.279-290

2021

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LBP4MTS: Local Binary Pattern-Based Unsupervised Representation Learning of Multivariate Time Series

IEEE access, 2023, Vol.11, p.118595-118605

2023

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A Self-Organized Mapping Neural Network-Based Intelligent Evaluation Model for Business Capacity in Enterprise Management

IEEE access, 2023, Vol.11, p.111801-111811

2023

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Real-time Event Detection Using Self-Evolving Contextual Analysis (SECA) Approach

IEEE access, 2023-01, Vol.11, p.1-1

2023

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DeepDiffusion: Unsupervised Learning of Retrieval-adapted Representations via Diffusion-based Ranking on Latent Feature Manifold

IEEE access, 2022, Vol.10, p.1-1

2022

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Graph Laplacian-Improved Convolutional Residual Autoencoder for Unsupervised Human Action and Emotion Recognition

IEEE access, 2022, Vol.10, p.131128-131143

2022

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Unsupervised K-Means Clustering Algorithm

An Adversarial Learning Approach to Medical Image Synthesis for Lesion Detection

Unsupervised Learning for Cell-Level Visual Representation in Histopathology Images With Generative Adversarial Networks

Unsupervised Multi-View K-Means Clustering Algorithm

SAGES: Scalable Attributed Graph Embedding With Sampling for Unsupervised Learning

Toward Securing Federated Learning Against Poisoning Attacks in Zero Touch B5G Networks

Deep Unsupervised Learning for Optimization With Box and Monotone Matrix Based Polytope Constraints: A Case-Study of D2D Wireless Networks

A Comprehensive Survey of Machine Learning Methods for Surveillance Videos Anomaly Detection

Comparative Analysis of Intrusion Detection Systems and Machine Learning-Based Model Analysis Through Decision Tree

Mining tasks and task characteristics from electronic health record audit logs with unsupervised machine learning

Analysis of Wind Characteristics for Grid-Tied Wind Turbine Generator Using Incremental Generative Adversarial Network Model

Fully Unsupervised Person Re-Identification via Multiple Pseudo Labels Joint Training

Subgraph augmented non-negative tensor factorization (SANTF) for modeling clinical narrative text

DDC-Outlier: Preventing Medication Errors Using Unsupervised Learning

Class-Variational Learning with Capsule Networks for Deep Entity-Subspace Clustering

Implicit Irregularity Detection Using Unsupervised Learning on Daily Behaviors

Unsupervised machine learning for managing safety accidents in railway stations

Learning Multicast Patterns for Efficient BIER Forwarding With P4

Restoration of Single Sand-Dust Image Based on Style Transformation and Unsupervised Adversarial Learning

Deep embedded multi-view clustering with collaborative training

LBP4MTS: Local Binary Pattern-Based Unsupervised Representation Learning of Multivariate Time Series

A Self-Organized Mapping Neural Network-Based Intelligent Evaluation Model for Business Capacity in Enterprise Management

Real-time Event Detection Using Self-Evolving Contextual Analysis (SECA) Approach

DeepDiffusion: Unsupervised Learning of Retrieval-adapted Representations via Diffusion-based Ranking on Latent Feature Manifold

Graph Laplacian-Improved Convolutional Residual Autoencoder for Unsupervised Human Action and Emotion Recognition

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