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Explainable AI (XAI): A systematic meta-survey of current challenges and future opportunities

Knowledge-based systems, 2023-03, Vol.263, p.110273, Article 110273

2023

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Explaining black-box classifiers using post-hoc explanations-by-example: The effect of explanations and error-rates in XAI user studies

Artificial intelligence, 2021-05, Vol.294, p.103459, Article 103459

2021

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Interpretable and explainable AI (XAI) model for spatial drought prediction

The Science of the total environment, 2021-12, Vol.801, p.149797-149797, Article 149797

2021

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Current Challenges and Future Opportunities for XAI in Machine Learning-Based Clinical Decision Support Systems: A Systematic Review

Applied sciences, 2021-06, Vol.11 (11), p.5088

2021

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Human-centered XAI: Developing design patterns for explanations of clinical decision support systems

International journal of human-computer studies, 2021-10, Vol.154, p.102684, Article 102684

2021

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The explainability paradox: Challenges for xAI in digital pathology

Future generation computer systems, 2022-08, Vol.133, p.281-296

2022

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CLEVR-XAI: A benchmark dataset for the ground truth evaluation of neural network explanations

Information fusion, 2022-05, Vol.81, p.14-40

2022

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An explainable AI (XAI) model for landslide susceptibility modeling

Applied soft computing, 2023-07, Vol.142, p.110324, Article 110324

2023

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Explanatory classification of CXR images into COVID-19, Pneumonia and Tuberculosis using deep learning and XAI

Computers in biology and medicine, 2022-11, Vol.150, p.106156-106156, Article 106156

2022

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Earthquake-Induced Building-Damage Mapping Using Explainable AI (XAI)

Sensors (Basel, Switzerland), 2021-06, Vol.21 (13), p.4489

2021

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A Life-Long Learning XAI Metaheuristic-Based Type-2 Fuzzy System for Solar Radiation Modeling

IEEE transactions on fuzzy systems, 2024-04, Vol.32 (4), p.2102-2115

2024

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Going Beyond XAI: A Systematic Survey for Explanation-Guided Learning

ACM computing surveys, 2024-04, Vol.56 (7), p.1-39, Article 188

2024

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Why did the AI make that decision? Towards an explainable artificial intelligence (XAI) for autonomous driving systems

Transportation research. Part C, Emerging technologies, 2023-11, Vol.156, p.104358, Article 104358

2023

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Explaining Deep Learning using examples: Optimal feature weighting methods for twin systems using post-hoc, explanation-by-example in XAI

Knowledge-based systems, 2021-12, Vol.233, p.107530, Article 107530

2021

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Advanced insights through systematic analysis: Mapping future research directions and opportunities for xAI in deep learning and artificial intelligence used in cybersecurity

Neurocomputing (Amsterdam), 2024-07, Vol.590, Article 127759

2024

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XAI-MethylMarker: Explainable AI approach for biomarker discovery for breast cancer subtype classification using methylation data

Expert systems with applications, 2023-09, Vol.225, p.120130, Article 120130

2023

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A hybrid framework using explainable AI (XAI) in cyber-risk management for defence and recovery against phishing attacks

Decision Support Systems, 2024-02, Vol.177, p.114102, Article 114102

2024

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Vibration Signals Analysis by Explainable Artificial Intelligence (XAI) Approach: Application on Bearing Faults Diagnosis

IEEE access, 2020, Vol.8, p.134246-134256

2020

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Understanding imbalanced data: XAI & interpretable ML framework

Machine learning, 2024-06, Vol.113 (6), p.3751-3769

2024

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A survey on XAI and natural language explanations

Information processing & management, 2023-01, Vol.60 (1), p.103111, Article 103111

2023

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Explainable Artificial Intelligence (XAI) from a user perspective: A synthesis of prior literature and problematizing avenues for future research

Technological forecasting & social change, 2023-01, Vol.186, p.122120, Article 122120

2023

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A new method to promptly evaluate spatial earthquake probability mapping using an explainable artificial intelligence (XAI) model

Gondwana research, 2023-11, Vol.123, p.54-67

2023

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Characterizing the Contribution of Dependent Features in XAI Methods

IEEE journal of biomedical and health informatics, 2024-05, Vol.PP, p.1-8

2024

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IEEE_Xplore

XAI‐MEG: Combining symbolic AI and machine learning to generate first‐principles models and causal explanations

AIChE journal, 2022-06, Vol.68 (6), p.n/a

2022

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Automated Machine Learning and Explainable AI (AutoML-XAI) for Metabolomics: Improving Cancer Diagnostics

Journal of the American Society for Mass Spectrometry, 2024-05

2024

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Explainable AI (XAI): A systematic meta-survey of current challenges and future opportunities

Explaining black-box classifiers using post-hoc explanations-by-example: The effect of explanations and error-rates in XAI user studies

Interpretable and explainable AI (XAI) model for spatial drought prediction

Current Challenges and Future Opportunities for XAI in Machine Learning-Based Clinical Decision Support Systems: A Systematic Review

Human-centered XAI: Developing design patterns for explanations of clinical decision support systems

The explainability paradox: Challenges for xAI in digital pathology

CLEVR-XAI: A benchmark dataset for the ground truth evaluation of neural network explanations

An explainable AI (XAI) model for landslide susceptibility modeling

Explanatory classification of CXR images into COVID-19, Pneumonia and Tuberculosis using deep learning and XAI

Earthquake-Induced Building-Damage Mapping Using Explainable AI (XAI)

A Life-Long Learning XAI Metaheuristic-Based Type-2 Fuzzy System for Solar Radiation Modeling

Going Beyond XAI: A Systematic Survey for Explanation-Guided Learning

Why did the AI make that decision? Towards an explainable artificial intelligence (XAI) for autonomous driving systems

Explaining Deep Learning using examples: Optimal feature weighting methods for twin systems using post-hoc, explanation-by-example in XAI

Advanced insights through systematic analysis: Mapping future research directions and opportunities for xAI in deep learning and artificial intelligence used in cybersecurity

XAI-MethylMarker: Explainable AI approach for biomarker discovery for breast cancer subtype classification using methylation data

A hybrid framework using explainable AI (XAI) in cyber-risk management for defence and recovery against phishing attacks

Vibration Signals Analysis by Explainable Artificial Intelligence (XAI) Approach: Application on Bearing Faults Diagnosis

Understanding imbalanced data: XAI & interpretable ML framework

A survey on XAI and natural language explanations

Explainable Artificial Intelligence (XAI) from a user perspective: A synthesis of prior literature and problematizing avenues for future research

A new method to promptly evaluate spatial earthquake probability mapping using an explainable artificial intelligence (XAI) model

Characterizing the Contribution of Dependent Features in XAI Methods

XAI‐MEG: Combining symbolic AI and machine learning to generate first‐principles models and causal explanations

Automated Machine Learning and Explainable AI (AutoML-XAI) for Metabolomics: Improving Cancer Diagnostics

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