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Explainable analytics: understanding causes, correcting errors, and achieving increasingly perfect accuracy from the nature of distinguishable patterns

Scientific reports, 2022-11, Vol.12 (1), p.18368-18368, Article 18368

2022

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Forecasting PM 2.5 concentration based on integrating of CEEMDAN decomposition method with SVM and LSTM

Ecotoxicology and environmental safety, 2023-11, Vol.266, p.115572-115572, Article 115572

2023

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Investigating Routing in the VANET Network: Review and Classification of Approaches

Algorithms, 2023-08, Vol.16 (8), p.381

2023

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Automatic melanoma detection using discrete cosine transform features and metadata on dermoscopic images

Journal of King Saud University. Computer and information sciences, 2024-02, Vol.36 (2), p.101944, Article 101944

2024

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Performance improvement of machine learning models via wavelet theory in estimating monthly river streamflow

Engineering applications of computational fluid mechanics, 2022-12, Vol.16 (1), p.1833-1848

2022

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Unsupervised distance learning for extended self-organizing map and visualization of mixed-type data

Intelligent data analysis, 2019-01, Vol.23 (4), p.799-823

2019

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Visualized mixed-type data analysis via dimensionality reduction

Intelligent data analysis, 2018-01, Vol.22 (5), p.981-1007

2018

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Visualized Analysis of Mixed Numeric and Categorical Data Via Extended Self-Organizing Map

IEEE transaction on neural networks and learning systems, 2012-01, Vol.23 (1), p.72-86

2012

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Improvement of Human Pose Estimation and Processing with the Intensive Feature Consistency Network

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

2023

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Application of explainable artificial intelligence in medical health: A systematic review of interpretability methods

Informatics in medicine unlocked, 2023, Vol.40, p.101286, Article 101286

2023

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A systematic review of deep learning approaches for surface defect detection in industrial applications

Engineering applications of artificial intelligence, 2024-04, Vol.130, p.107717, Article 107717

2024

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A robust approach for endotracheal tube localization in chest radiographs

Frontiers in artificial intelligence, 2023-05, Vol.6, p.1181812-1181812

2023

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Developments of AI-Assisted Fault Detection and Failure Mode Diagnosis for Operation and Maintenance of Photovoltaic Power Stations in Taiwan

IEEE transactions on industry applications, 2024-03, p.1-12

2024

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IEEE_Xplore

Design of Runge-Kutta optimization for fractional input nonlinear autoregressive exogenous system identification with key-term separation

Chaos, solitons and fractals, 2024-05, Vol.182, Article 114723

2024

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Monthly River Discharge Forecasting Using Hybrid Models Based on Extreme Gradient Boosting Coupled with Wavelet Theory and Lévy–Jaya Optimization Algorithm

Water resources management, 2023-08, Vol.37 (10), p.3953-3972

2023

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Integrated dimensionality reduction technique for mixed-type data involving categorical values

Applied soft computing, 2016-06, Vol.43, p.199-209

2016

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Analyzing mixed-type data by using word embedding for handling categorical features

Intelligent data analysis, 2021-01, Vol.25 (6), p.1349-1368

2021

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Incremental clustering of mixed data based on distance hierarchy

Expert systems with applications, 2008-10, Vol.35 (3), p.1177-1185

2008

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Hierarchical clustering of mixed data based on distance hierarchy

Information sciences, 2007-10, Vol.177 (20), p.4474-4492

2007

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An integrated framework for visualized and exploratory pattern discovery in mixed data

IEEE transactions on knowledge and data engineering, 2006-02, Vol.18 (2), p.161-173

2006

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IEEE_Xplore

Mining of mixed data with application to catalog marketing

Expert systems with applications, 2007, Vol.32 (1), p.12-23

2007

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Relational Structure Visualization in Composition

2023 27th International Conference Information Visualisation (IV), 2023, p.23-28

2023

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Apply extended self-organizing map to cluster and classify mixed-type data

Neurocomputing (Amsterdam), 2011-11, Vol.74 (18), p.3832-3842

2011

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USING TEXT AND VISUAL MINING TO ANALYZE CLINICAL DIAGNOSIS RECORDS

Neural Network World, 2012-01, Vol.22 (5), p.459-478

2012

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Growing Self-Organizing Map with cross insert for mixed-type data clustering

Applied soft computing, 2012-09, Vol.12 (9), p.2856-2866

2012

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Explainable analytics: understanding causes, correcting errors, and achieving increasingly perfect accuracy from the nature of distinguishable patterns

Forecasting PM 2.5 concentration based on integrating of CEEMDAN decomposition method with SVM and LSTM

Investigating Routing in the VANET Network: Review and Classification of Approaches

Automatic melanoma detection using discrete cosine transform features and metadata on dermoscopic images

Performance improvement of machine learning models via wavelet theory in estimating monthly river streamflow

Unsupervised distance learning for extended self-organizing map and visualization of mixed-type data

Visualized mixed-type data analysis via dimensionality reduction

Visualized Analysis of Mixed Numeric and Categorical Data Via Extended Self-Organizing Map

Improvement of Human Pose Estimation and Processing with the Intensive Feature Consistency Network

Application of explainable artificial intelligence in medical health: A systematic review of interpretability methods

A systematic review of deep learning approaches for surface defect detection in industrial applications

A robust approach for endotracheal tube localization in chest radiographs

Developments of AI-Assisted Fault Detection and Failure Mode Diagnosis for Operation and Maintenance of Photovoltaic Power Stations in Taiwan

Design of Runge-Kutta optimization for fractional input nonlinear autoregressive exogenous system identification with key-term separation

Monthly River Discharge Forecasting Using Hybrid Models Based on Extreme Gradient Boosting Coupled with Wavelet Theory and Lévy–Jaya Optimization Algorithm

Integrated dimensionality reduction technique for mixed-type data involving categorical values

Analyzing mixed-type data by using word embedding for handling categorical features

Incremental clustering of mixed data based on distance hierarchy

Hierarchical clustering of mixed data based on distance hierarchy

An integrated framework for visualized and exploratory pattern discovery in mixed data

Mining of mixed data with application to catalog marketing

Relational Structure Visualization in Composition

Apply extended self-organizing map to cluster and classify mixed-type data

USING TEXT AND VISUAL MINING TO ANALYZE CLINICAL DIAGNOSIS RECORDS

Growing Self-Organizing Map with cross insert for mixed-type data clustering

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