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Explainable Artificial Intelligence (XAI)

Explainable Artificial Intelligence

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Showing 151–200 of 1041 papers

TitleStatusHype
Revisiting the robustness of post-hoc interpretability methods—0
Introducing δ-XAI: a novel sensitivity-based method for local AI explanations—0
Automated Explanation Selection for Scientific Discovery—0
Explainable Artificial Intelligence Techniques for Irregular Temporal Classification of Multidrug Resistance Acquisition in Intensive Care Unit Patients—0
A Survey of Explainable Artificial Intelligence (XAI) in Financial Time Series Forecasting—0
Explainable AI-based Intrusion Detection System for Industry 5.0: An Overview of the Literature, associated Challenges, the existing Solutions, and Potential Research Directions—0
XAI meets LLMs: A Survey of the Relation between Explainable AI and Large Language Models—0
Geometric Remove-and-Retrain (GOAR): Coordinate-Invariant eXplainable AI Assessment—0
Are Linear Regression Models White Box and Interpretable?—0
XEQ Scale for Evaluating XAI Experience Quality—0
Explainable artificial intelligence in breast cancer detection and risk prediction: A systematic scoping review—0
Robustness of Explainable Artificial Intelligence in Industrial Process Modelling—0
Explainable Image Recognition via Enhanced Slot-attention Based Classifier—0
From Data to Commonsense Reasoning: The Use of Large Language Models for Explainable AI—0
How Reliable and Stable are Explanations of XAI Methods?—0
A Survey of Accessible Explainable Artificial Intelligence Research—0
AXIAL: Attention-based eXplainability for Interpretable Alzheimer's Localized Diagnosis using 2D CNNs on 3D MRI brain scansCode2
Improving Explainability of Softmax Classifiers Using a Prototype-Based Joint Embedding MethodCode0
ShapG: new feature importance method based on the Shapley valueCode0
MiSuRe is all you need to explain your image segmentation—0
Explainable Artificial Intelligence and Multicollinearity : A Mini Review of Current ApproachesCode0
GECOBench: A Gender-Controlled Text Dataset and Benchmark for Quantifying Biases in ExplanationsCode0
Explainable AI for Comparative Analysis of Intrusion Detection ModelsCode0
An Unsupervised Approach to Achieve Supervised-Level Explainability in Healthcare RecordsCode2
Evolutionary Computation and Explainable AI: A Roadmap to Understandable Intelligent Systems—0
Are Large Language Models the New Interface for Data Pipelines?—0
nn2poly: An R Package for Converting Neural Networks into Interpretable Polynomials—0
Transferring Domain Knowledge with (X)AI-Based Learning Systems—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
EXACT: Towards a platform for empirically benchmarking Machine Learning model explanation methods—0
Overlap Number of Balls Model-Agnostic CounterFactuals (ONB-MACF): A Data-Morphology-based Counterfactual Generation Method for Trustworthy Artificial Intelligence—0
From SHAP Scores to Feature Importance Scores—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
A Fresh Look at Sanity Checks for Saliency MapsCode1
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