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Enhancing Interpretability in Deep Learning-Based Inversion of 2D Ground Penetrating Radar Data: An Explainable AI (XAI) Strategy

IEEE geoscience and remote sensing letters, 2024-05, p.1-1

2024

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IEEE_Xplore

Knee Osteoarthritis Analysis Using Deep Learning and XAI on X-rays

IEEE access, 2024-05, p.1-1

2024

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XAI-FusionNet: Diabetic foot ulcer detection based on multi-scale feature fusion with explainable artificial intelligence

Heliyon, 2024-05, Vol.10 (10), Article e31228

2024

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XAI-IoT: An Explainable AI Framework for Enhancing Anomaly Detection in IoT Systems

IEEE access, 2024-05, Vol.12, p.1-1

2024

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Pathogenicity Prediction of Gene Fusion in Structural Variations: A Knowledge Graph-Infused Explainable Artificial Intelligence (XAI) Framework

Cancers, 2024-01, Vol.16 (10), p.1915

2024

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XAI-IDS: Toward Proposing an Explainable Artificial Intelligence Framework for Enhancing Network Intrusion Detection Systems

Applied sciences, 2024-01, Vol.14 (10), p.4170

2024

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An Exploration of Visual Analytic Techniques for Xai: Applications in Clinical Decision Support

Salimiparsa, Mozhgan

2023

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ProQuest

Explanation-Guided Fair Federated Learning for Transparent 6G RAN Slicing

IEEE transactions on cognitive communications and networking, 2024-05, p.1-1

2024

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IEEE_Xplore

Unraveling the Black Box: A Review of Explainable Deep Learning Healthcare Techniques

IEEE access, 2024, Vol.12, p.66556-66568

2024

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Reassuring, Misleading, Debunking: Comparing Effects of XAI Methods on Human Decisions

ACM transactions on interactive intelligent systems

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Improving interpretability of deep active learning for flood inundation mapping through class ambiguity indices using multi-spectral satellite imagery

Remote sensing of environment, Article 114213

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Prior knowledge-infused Self-Supervised Learning and explainable AI for Fault Detection and Isolation in PEM electrolyzers

Neurocomputing (Amsterdam), Article 127871

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Deterioration micro-mechanism of graded aggregates with different gradations under vibratory compaction using X-CT testing

Measurement : journal of the International Measurement Confederation, 2024-08, Vol.235, Article 114938

2024

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Explainable AI-driven IoMT fusion: Unravelling techniques, opportunities, and challenges with Explainable AI in healthcare

Information fusion, Article 102472

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Synthesis, Characterization, and Functional Validation of DNA Aptamers Targeting Cyanotoxin BMAA

Santiago Maldonado, Xaimara

2024

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ProQuest

Establishing operator trust in machine learning for enhanced reliability and safety in nuclear Power Plants

Progress in nuclear energy (New series), 2024-08, Vol.173, Article 105280

2024

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In-situ humidification performance evaluation of various membranes for proton exchange membrane fuel cell

Energy reports, 2024-06, Vol.11, p.5475-5491

2024

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Adaptive self-calibrated soft sensor for reliable nutrient measurement in rivers: Two-stage stacked autoencoder with densely connected fusion network

Journal of water process engineering, 2024-06, Vol.63, Article 105494

2024

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Predicting life satisfaction using machine learning and explainable AI

Heliyon, 2024-05, Vol.10 (10), Article e31158

2024

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Introducing User Feedback-Based Counterfactual Explanations (UFCE)

International journal of computational intelligence systems, 2024-05, Vol.17 (1)

2024

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Explainable chemical artificial intelligence from accurate machine learning of real-space chemical descriptors

Nature communications, 2024-05, Vol.15 (1), p.4345-4345

2024

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PRECYSE: Predicting Cybersickness using Transformer for Multimodal Time-Series Sensor Data

Proceedings of ACM on interactive, mobile, wearable and ubiquitous technologies, 2024-05, Vol.8 (2), p.1-24, Article 42

2024

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Enhancing Online Food Service User Experience through Advanced Analytics and Hybrid Deep Learning for Comprehensive Evaluation

IEEE access, 2024-05, p.1-1

2024

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Enhancing Going Concern Prediction with Anchor Explainable AI and Attention-Weighted XGBoost

IEEE access, 2024-05, p.1-1

2024

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An Open API Architecture to Discover the Trustworthy Explanation of Cloud AI Services

IEEE transactions on cloud computing, 2024-05, p.1-15

2024

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IEEE_Xplore

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Enhancing Interpretability in Deep Learning-Based Inversion of 2D Ground Penetrating Radar Data: An Explainable AI (XAI) Strategy

Knee Osteoarthritis Analysis Using Deep Learning and XAI on X-rays

XAI-FusionNet: Diabetic foot ulcer detection based on multi-scale feature fusion with explainable artificial intelligence

XAI-IoT: An Explainable AI Framework for Enhancing Anomaly Detection in IoT Systems

Pathogenicity Prediction of Gene Fusion in Structural Variations: A Knowledge Graph-Infused Explainable Artificial Intelligence (XAI) Framework

XAI-IDS: Toward Proposing an Explainable Artificial Intelligence Framework for Enhancing Network Intrusion Detection Systems

An Exploration of Visual Analytic Techniques for Xai: Applications in Clinical Decision Support

Explanation-Guided Fair Federated Learning for Transparent 6G RAN Slicing

Unraveling the Black Box: A Review of Explainable Deep Learning Healthcare Techniques

Reassuring, Misleading, Debunking: Comparing Effects of XAI Methods on Human Decisions

Improving interpretability of deep active learning for flood inundation mapping through class ambiguity indices using multi-spectral satellite imagery

Prior knowledge-infused Self-Supervised Learning and explainable AI for Fault Detection and Isolation in PEM electrolyzers

Deterioration micro-mechanism of graded aggregates with different gradations under vibratory compaction using X-CT testing

Explainable AI-driven IoMT fusion: Unravelling techniques, opportunities, and challenges with Explainable AI in healthcare

Synthesis, Characterization, and Functional Validation of DNA Aptamers Targeting Cyanotoxin BMAA

Establishing operator trust in machine learning for enhanced reliability and safety in nuclear Power Plants

In-situ humidification performance evaluation of various membranes for proton exchange membrane fuel cell

Adaptive self-calibrated soft sensor for reliable nutrient measurement in rivers: Two-stage stacked autoencoder with densely connected fusion network

Predicting life satisfaction using machine learning and explainable AI

Introducing User Feedback-Based Counterfactual Explanations (UFCE)

Explainable chemical artificial intelligence from accurate machine learning of real-space chemical descriptors

PRECYSE: Predicting Cybersickness using Transformer for Multimodal Time-Series Sensor Data

Enhancing Online Food Service User Experience through Advanced Analytics and Hybrid Deep Learning for Comprehensive Evaluation

Enhancing Going Concern Prediction with Anchor Explainable AI and Attention-Weighted XGBoost

An Open API Architecture to Discover the Trustworthy Explanation of Cloud AI Services

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