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Explainable Artificial Intelligence (XAI)

Explainable Artificial Intelligence

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Showing 251–300 of 1041 papers

TitleStatusHype
A Survey of Accessible Explainable Artificial Intelligence Research—0
ShapG: new feature importance method based on the Shapley valueCode0
MiSuRe is all you need to explain your image segmentation—0
GECOBench: A Gender-Controlled Text Dataset and Benchmark for Quantifying Biases in ExplanationsCode0
Explainable Artificial Intelligence and Multicollinearity : A Mini Review of Current ApproachesCode0
Explainable AI for Comparative Analysis of Intrusion Detection ModelsCode0
Evolutionary Computation and Explainable AI: A Roadmap to Understandable Intelligent Systems—0
Are Large Language Models the New Interface for Data Pipelines?—0
Transferring Domain Knowledge with (X)AI-Based Learning Systems—0
nn2poly: An R Package for Converting Neural Networks into Interpretable Polynomials—0
Enhancing Counterfactual Image Generation Using Mahalanobis Distance with Distribution Preferences in Feature Space—0
Unified Explanations in Machine Learning Models: A Perturbation ApproachCode0
Watermarking Counterfactual ExplanationsCode0
Locally Testing Model Detections for Semantic Global Concepts—0
Less is More: Discovering Concise Network ExplanationsCode0
SE3D: A Framework For Saliency Method Evaluation In 3D ImagingCode0
A Transformer variant for multi-step forecasting of water level and hydrometeorological sensitivity analysis based on explainable artificial intelligence technology—0
Comparative Analysis of Hyperspectral Image Reconstruction Using Deep Learning for Agricultural and Biological Applications—0
Explaining Expert Search and Team Formation Systems with ExES—0
From SHAP Scores to Feature Importance Scores—0
Overlap Number of Balls Model-Agnostic CounterFactuals (ONB-MACF): A Data-Morphology-based Counterfactual Generation Method for Trustworthy Artificial Intelligence—0
EXACT: Towards a platform for empirically benchmarking Machine Learning model explanation methods—0
Empowering Prior to Court Legal Analysis: A Transparent and Accessible Dataset for Defensive Statement Classification and Interpretation—0
Tell me more: Intent Fulfilment Framework for Enhancing User Experiences in Conversational XAI—0
Distance-Restricted Explanations: Theoretical Underpinnings & Efficient Implementation—0
Challenges and Opportunities in Text Generation Explainability—0
ExplainableDetector: Exploring Transformer-based Language Modeling Approach for SMS Spam Detection with Explainability Analysis—0
LLMs for XAI: Future Directions for Explaining Explanations—0
Relevant Irrelevance: Generating Alterfactual Explanations for Image ClassifiersCode0
False Sense of Security in Explainable Artificial Intelligence (XAI)—0
Explainable Interface for Human-Autonomy Teaming: A Survey—0
Explainable Multi-Label Classification of MBTI Types—0
Towards trustable SHAP scores—0
Mapping the Potential of Explainable AI for Fairness Along the AI Lifecycle—0
On the Road to Clarity: Exploring Explainable AI for World Models in a Driver Assistance System—0
T-Explainer: A Model-Agnostic Explainability Framework Based on Gradients—0
Explaining AI Decisions: Towards Achieving Human-Centered Explainability in Smart Home Environments—0
How should AI decisions be explained? Requirements for Explanations from the Perspective of European Law—0
Towards Robust Ferrous Scrap Material Classification with Deep Learning and Conformal Prediction—0
Concept Induction using LLMs: a user experiment for assessment—0
Explainable Lung Disease Classification from Chest X-Ray Images Utilizing Deep Learning and XAI—0
Reactive Model Correction: Mitigating Harm to Task-Relevant Features via Conditional Bias Suppression—0
Beyond One-Size-Fits-All: Adapting Counterfactual Explanations to User Objectives—0
Unraveling the Dilemma of AI Errors: Exploring the Effectiveness of Human and Machine Explanations for Large Language Models—0
Concept-Attention Whitening for Interpretable Skin Lesion Diagnosis—0
Enhancing Breast Cancer Diagnosis in Mammography: Evaluation and Integration of Convolutional Neural Networks and Explainable AI—0
Interpreting End-to-End Deep Learning Models for Speech Source Localization Using Layer-wise Relevance PropagationCode0
X-SHIELD: Regularization for eXplainable Artificial Intelligence—0
Explainable AI Integrated Feature Engineering for Wildfire Prediction—0
Energy-based Model for Accurate Shapley Value Estimation in Interpretable Deep Learning Predictive ModelingCode0
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