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Explainable Artificial Intelligence (XAI)

Explainable Artificial Intelligence

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Showing 901–950 of 1041 papers

TitleStatusHype
Designer-User Communication for XAI: An epistemological approach to discuss XAI design—0
Designing ECG Monitoring Healthcare System with Federated Transfer Learning and Explainable AI—0
Detecting AI-Generated Text in Educational Content: Leveraging Machine Learning and Explainable AI for Academic Integrity—0
Detecting Anomalies in Blockchain Transactions using Machine Learning Classifiers and Explainability Analysis—0
Detection, Explanation and Filtering of Cyber Attacks Combining Symbolic and Sub-Symbolic Methods—0
Detection of Sensor-To-Sensor Variations using Explainable AI—0
Developing Guidelines for Functionally-Grounded Evaluation of Explainable Artificial Intelligence using Tabular Data—0
Diagnosing AI Explanation Methods with Folk Concepts of Behavior—0
Diagnosis of Paratuberculosis in Histopathological Images Based on Explainable Artificial Intelligence and Deep Learning—0
Diagrammatization and Abduction to Improve AI Interpretability With Domain-Aligned Explanations for Medical Diagnosis—0
DiCE-Extended: A Robust Approach to Counterfactual Explanations in Machine Learning—0
DiCoFlex: Model-agnostic diverse counterfactuals with flexible control—0
Disagreement amongst counterfactual explanations: How transparency can be deceptive—0
Disproving XAI Myths with Formal Methods -- Initial Results—0
Distance-Restricted Explanations: Theoretical Underpinnings & Efficient Implementation—0
Distrust in (X)AI -- Measurement Artifact or Distinct Construct?—0
Domain-Level Explainability -- A Challenge for Creating Trust in Superhuman AI Strategies—0
Do not explain without context: addressing the blind spot of model explanations—0
Do We Need Explainable AI in Companies? Investigation of Challenges, Expectations, and Chances from Employees' Perspective—0
Easydiagnos: a framework for accurate feature selection for automatic diagnosis in smart healthcare—0
Eclectic Rule Extraction for Explainability of Deep Neural Network based Intrusion Detection Systems—0
Efficient XAI Techniques: A Taxonomic Survey—0
Elucidating Discrepancy in Explanations of Predictive Models Developed using EMR—0
Emergent Explainability: Adding a causal chain to neural network inference—0
Employing Explainable Artificial Intelligence (XAI) Methodologies to Analyze the Correlation between Input Variables and Tensile Strength in Additively Manufactured Samples—0
Empowering Prior to Court Legal Analysis: A Transparent and Accessible Dataset for Defensive Statement Classification and Interpretation—0
Enabling Machine Learning Algorithms for Credit Scoring -- Explainable Artificial Intelligence (XAI) methods for clear understanding complex predictive models—0
Enhanced Prototypical Part Network (EPPNet) For Explainable Image Classification Via Prototypes—0
Enhancing AI Transparency: XRL-Based Resource Management and RAN Slicing for 6G ORAN Architecture—0
Enhancing Breast Cancer Diagnosis in Mammography: Evaluation and Integration of Convolutional Neural Networks and Explainable AI—0
Enhancing Cancer Diagnosis with Explainable & Trustworthy Deep Learning Models—0
Enhancing Counterfactual Image Generation Using Mahalanobis Distance with Distribution Preferences in Feature Space—0
Enhancing Feature Selection and Interpretability in AI Regression Tasks Through Feature Attribution—0
Enhancing Human-Machine Teaming for Medical Prognosis Through Neural Ordinary Differential Equations (NODEs)—0
Enhancing UAV Security Through Zero Trust Architecture: An Advanced Deep Learning and Explainable AI Analysis—0
Ensembles of Convolutional Neural Networks models for pediatric pneumonia diagnosis—0
Evaluating explainable artificial intelligence methods for multi-label deep learning classification tasks in remote sensing—0
Evaluating the Correctness of Explainable AI Algorithms for Classification—0
Evaluating the Stability of Semantic Concept Representations in CNNs for Robust Explainability—0
Evaluation of Human-Understandability of Global Model Explanations using Decision Tree—0
Evaluation of Popular XAI Applied to Clinical Prediction Models: Can They be Trusted?—0
Evaluation of Saliency-based Explainability Method—0
Evolutionary approaches to explainable machine learning—0
Evolutionary Computation and Explainable AI: A Roadmap to Understandable Intelligent Systems—0
EVolutionary Independent DEtermiNistiC Explanation—0
Exact Computation of Any-Order Shapley Interactions for Graph Neural Networks—0
EXACT: Towards a platform for empirically benchmarking Machine Learning model explanation methods—0
Examining the Rat in the Tunnel: Interpretable Multi-Label Classification of Tor-based Malware—0
Example-Based Explainable AI and its Application for Remote Sensing Image Classification—0
Expanding Explainability: Towards Social Transparency in AI systems—0
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