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Explainable Artificial Intelligence (XAI)

Explainable Artificial Intelligence

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TitleStatusHype
Towards Human-Understandable Visual Explanations:Imperceptible High-frequency Cues Can Better Be Removed—0
Towards Human-Understandable Visual Explanations: Human Imperceptible Cues Can Better Be Removed—0
Towards Interpretability in Audio and Visual Affective Machine Learning: A Review—0
Towards Involving End-users in Interactive Human-in-the-loop AI Fairness—0
Towards Providing Explanations for AI Planner Decisions—0
Towards Reconciling Usability and Usefulness of Explainable AI Methodologies—0
Towards Relatable Explainable AI with the Perceptual Process—0
Towards Robust Ferrous Scrap Material Classification with Deep Learning and Conformal Prediction—0
Towards Safe, Explainable, and Regulated Autonomous Driving—0
Towards Self-Explainability of Deep Neural Networks with Heatmap Captioning and Large-Language Models—0
Towards Symbolic XAI -- Explanation Through Human Understandable Logical Relationships Between Features—0
Towards the Linear Algebra Based Taxonomy of XAI Explanations—0
Towards the Use of Saliency Maps for Explaining Low-Quality Electrocardiograms to End Users—0
Towards the Visualization of Aggregated Class Activation Maps to Analyse the Global Contribution of Class Features—0
Towards Transparent AI: A Survey on Explainable Large Language Models—0
Towards Transparent and Accurate Diabetes Prediction Using Machine Learning and Explainable Artificial Intelligence—0
Towards Understanding Human Functional Brain Development with Explainable Artificial Intelligence: Challenges and Perspectives—0
Toward the application of XAI methods in EEG-based systems—0
Toward the Explainability of Protein Language Models for Sequence Design—0
Toward Personalized XAI: A Case Study in Intelligent Tutoring Systems—0
Tracking Peaceful Tractors on Social Media -- XAI-enabled analysis of Red Fort Riots 2021—0
Training Characteristic Functions with Reinforcement Learning: XAI-methods play Connect Four—0
Transcending XAI Algorithm Boundaries through End-User-Inspired Design—0
Transferability and explainability of deep learning emulators for regional climate model projections: Perspectives for future applications—0
Transfer Learning and Explainable AI for Brain Tumor Classification: A Study Using MRI Data from Bangladesh—0
Transferring Domain Knowledge with (X)AI-Based Learning Systems—0
Leveraging Expert Input for Robust and Explainable AI-Assisted Lung Cancer Detection in Chest X-rays—0
Tree-based local explanations of machine learning model predictions, AraucanaXAI—0
Trust and Reliance in Consensus-Based Explanations from an Anti-Misinformation Agent—0
Trust and Reliance in XAI - Distinguishing Between Attitudinal and Behavioral Measures—0
Trustworthy XAI and Application—0
TRUST XAI: Model-Agnostic Explanations for AI With a Case Study on IIoT Security—0
Truth Table Deep Convolutional Neural Network, A New SAT-Encodable Architecture - Application To Complete Robustness—0
Tuning for Trustworthiness -- Balancing Performance and Explanation Consistency in Neural Network Optimization—0
Twin Systems for DeepCBR: A Menagerie of Deep Learning and Case-Based Reasoning Pairings for Explanation and Data Augmentation—0
Unbox the Black-box for the Medical Explainable AI via Multi-modal and Multi-centre Data Fusion: A Mini-Review, Two Showcases and Beyond—0
Uncertainty Quantification of Wind Gust Predictions in the Northeast US: An Evidential Neural Network and Explainable Artificial Intelligence Approach—0
Understanding the Prediction Mechanism of Sentiments by XAI Visualization—0
Understand Watchdogs: Discover How Game Bot Get Discovered—0
Unjustified Sample Sizes and Generalizations in Explainable AI Research: Principles for More Inclusive User Studies—0
Unraveling Pedestrian Fatality Patterns: A Comparative Study with Explainable AI—0
Unraveling the Dilemma of AI Errors: Exploring the Effectiveness of Human and Machine Explanations for Large Language Models—0
Unveiling the Potential of Counterfactuals Explanations in Employability—0
User-centric evaluation of explainability of AI with and for humans: a comprehensive empirical study—0
Using agent-based models and EXplainable Artificial Intelligence (XAI) to simulate social behaviors and policy intervention scenarios: A case study of private well users in Ireland—0
Using explainability to design physics-aware CNNs for solving subsurface inverse problems—0
Using Explainable AI to Cross-Validate Socio-economic Disparities Among Covid-19 Patient Mortality—0
Using Kernel SHAP XAI Method to optimize the Network Anomaly Detection Model—0
Utilizing Explainable AI for improving the Performance of Neural Networks—0
Utilizing XAI technique to improve autoencoder based model for computer network anomaly detection with shapley additive explanation(SHAP)—0
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