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Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI

Information fusion, 2020-06, Vol.58, p.82-115

2020

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Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence

Information fusion, 2023-11, Vol.99, p.101805, Article 101805

2023

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Explainable artificial intelligence (XAI) in deep learning-based medical image analysis

Medical image analysis, 2022-07, Vol.79, p.102470-102470, Article 102470

2022

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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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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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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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Explainable artificial intelligence (XAI) for interpreting the contributing factors feed into the wildfire susceptibility prediction model

The Science of the total environment, 2023-06, Vol.879, p.163004-163004, Article 163004

2023

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XAI Meets Mobile Traffic Classification: Understanding and Improving Multimodal Deep Learning Architectures

IEEE eTransactions on network and service management, 2021-12, Vol.18 (4), p.4225-4246

2021

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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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A Survey on Medical Explainable AI (XAI): Recent Progress, Explainability Approach, Human Interaction and Scoring System

Sensors (Basel, Switzerland), 2022-10, Vol.22 (20), p.8068

2022

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Explaining reaction coordinates of alanine dipeptide isomerization obtained from deep neural networks using Explainable Artificial Intelligence (XAI)

The Journal of chemical physics, 2022-04, Vol.156 (15), p.154108-154108

2022

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How Case-Based Reasoning Explains Neural Networks: A Theoretical Analysis of XAI Using Post-Hoc Explanation-by-Example from a Survey of ANN-CBR Twin-Systems

Case-Based Reasoning Research and Development, 2019, Vol.11680, p.155-171

2019

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Quantitative evaluation of Saliency-Based Explainable artificial intelligence (XAI) methods in Deep Learning-Based mammogram analysis

European journal of radiology, 2024-04, Vol.173, p.111356-111356, Article 111356

2024

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Exploring Multilevel Data with Deep Learning and XAI: The Effect of Personal-Care Advertising Spending on Subjective Happiness

International business review, 2024-02, Vol.33 (1), p.102203, Article 102203

Messner, Wolfgang

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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Explainability and Transparency of Classifiers for Air-Handling Unit Faults Using Explainable Artificial Intelligence (XAI)

Sensors (Basel, Switzerland), 2022-08, Vol.22 (17), p.6338

2022

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A methodological and theoretical framework for implementing explainable artificial intelligence (XAI) in business applications

Computers in industry, 2024-02, Vol.155, p.104044, Article 104044

2024

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Spatial flood susceptibility mapping using an explainable artificial intelligence (XAI) model

Di xue qian yuan., 2023-11, Vol.14 (6), p.101625, Article 101625

2023

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Understanding imbalanced data: XAI & interpretable ML framework

Machine learning, 2024-01

2024

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Explainable artificial intelligence (XAI): Precepts, models, and opportunities for research in construction

Advanced engineering informatics, 2023-08, Vol.57, p.102024, Article 102024

2023

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Developing a hybrid deep learning model with explainable artificial intelligence (XAI) for enhanced landslide susceptibility modeling and management

Natural hazards (Dordrecht), 2024-03, Vol.120 (4), p.3719-3747

2024

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An XAI method for convolutional neural networks in self-driving cars

PloS one, 2022-08, Vol.17 (8), p.e0267282-e0267282

2022

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Explaining explainability: The role of XAI in medical imaging

European journal of radiology, 2024-04, Vol.173, p.111389-111389

2024

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Explainable Artificial Intelligence (XAI) Model for Earthquake Spatial Probability Assessment in Arabian Peninsula

Remote sensing (Basel, Switzerland), 2023-04, Vol.15 (9), p.2248

2023

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Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI

Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence

Explainable artificial intelligence (XAI) in deep learning-based medical image analysis

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

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

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

Explainable artificial intelligence (XAI) for interpreting the contributing factors feed into the wildfire susceptibility prediction model

XAI Meets Mobile Traffic Classification: Understanding and Improving Multimodal Deep Learning Architectures

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

A Survey on Medical Explainable AI (XAI): Recent Progress, Explainability Approach, Human Interaction and Scoring System

Explaining reaction coordinates of alanine dipeptide isomerization obtained from deep neural networks using Explainable Artificial Intelligence (XAI)

How Case-Based Reasoning Explains Neural Networks: A Theoretical Analysis of XAI Using Post-Hoc Explanation-by-Example from a Survey of ANN-CBR Twin-Systems

Quantitative evaluation of Saliency-Based Explainable artificial intelligence (XAI) methods in Deep Learning-Based mammogram analysis

Exploring Multilevel Data with Deep Learning and XAI: The Effect of Personal-Care Advertising Spending on Subjective Happiness

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

Explainability and Transparency of Classifiers for Air-Handling Unit Faults Using Explainable Artificial Intelligence (XAI)

A methodological and theoretical framework for implementing explainable artificial intelligence (XAI) in business applications

Spatial flood susceptibility mapping using an explainable artificial intelligence (XAI) model

Understanding imbalanced data: XAI & interpretable ML framework

Explainable artificial intelligence (XAI): Precepts, models, and opportunities for research in construction

Developing a hybrid deep learning model with explainable artificial intelligence (XAI) for enhanced landslide susceptibility modeling and management

An XAI method for convolutional neural networks in self-driving cars

Explaining explainability: The role of XAI in medical imaging

Explainable Artificial Intelligence (XAI) Model for Earthquake Spatial Probability Assessment in Arabian Peninsula

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