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Explainable Artificial Intelligence (XAI)

Explainable Artificial Intelligence

Papers

Showing 601–650 of 1041 papers

TitleStatusHype
Explainable Artificial Intelligence and Causal Inference based ATM Fraud Detection—0
Explainability Via Causal Self-Talk—0
Using explainability to design physics-aware CNNs for solving subsurface inverse problems—0
Explainable Artificial Intelligence in Construction: The Content, Context, Process, Outcome Evaluation Framework—0
Explainable Artificial Intelligence: Precepts, Methods, and Opportunities for Research in Construction—0
Seamful XAI: Operationalizing Seamful Design in Explainable AI—0
Social Construction of XAI: Do We Need One Definition to Rule Them All?—0
Behaviour Trees for Creating Conversational Explanation Experiences—0
Explainability in Practice: Estimating Electrification Rates from Mobile Phone Data in SenegalCode0
Motif-guided Time Series Counterfactual Explanations—0
Privacy Meets Explainability: A Comprehensive Impact Benchmark—0
XAI-BayesHAR: A novel Framework for Human Activity Recognition with Integrated Uncertainty and Shapely Values—0
eXplainable AI for Quantum Machine Learning—0
Explainable AI over the Internet of Things (IoT): Overview, State-of-the-Art and Future Directions—0
Backtracking Counterfactuals—0
Towards Human Cognition Level-based Experiment Design for Counterfactual Explanations (XAI)—0
Painting the black box white: experimental findings from applying XAI to an ECG reading setting—0
Towards Formal XAI: Formally Approximate Minimal Explanations of Neural Networks—0
Human-centered XAI for Burn Depth Characterization—0
A Temporal Type-2 Fuzzy System for Time-dependent Explainable Artificial Intelligence—0
The privacy issue of counterfactual explanations: explanation linkage attacks—0
XC: Exploring Quantitative Use Cases for Explanations in 3D Object DetectionCode0
Towards Human-centered Explainable AI: A Survey of User Studies for Model ExplanationsCode0
Black Box Model Explanations and the Human Interpretability Expectations -- An Analysis in the Context of Homicide PredictionCode0
Gradient Backpropagation based Feature Attribution to Enable Explainable-AI on the Edge—0
TEFL: Turbo Explainable Federated Learning for 6G Trustworthy Zero-Touch Network Slicing—0
Explanations Based on Item Response Theory (eXirt): A Model-Specific Method to Explain Tree-Ensemble Model in Trust PerspectiveCode0
Machine Learning in Transaction Monitoring: The Prospect of xAI—0
Neuro-symbolic Explainable Artificial Intelligence Twin for Zero-touch IoE in Wireless Network—0
Toward the application of XAI methods in EEG-based systems—0
T5 for Hate Speech, Augmented Data and EnsembleCode0
Local Interpretable Model Agnostic Shap Explanations for machine learning models—0
A Detailed Study of Interpretability of Deep Neural Network based Top TaggersCode0
Utilizing Explainable AI for improving the Performance of Neural Networks—0
What Do End-Users Really Want? Investigation of Human-Centered XAI for Mobile Health Apps—0
Do We Need Explainable AI in Companies? Investigation of Challenges, Expectations, and Chances from Employees' Perspective—0
Fault Diagnosis using eXplainable AI: a Transfer Learning-based Approach for Rotating Machinery exploiting Augmented Synthetic Data—0
The Influence of Explainable Artificial Intelligence: Nudging Behaviour or Boosting Capability?—0
Explanation-by-Example Based on Item Response TheoryCode0
"Help Me Help the AI": Understanding How Explainability Can Support Human-AI Interaction—0
OAK4XAI: Model towards Out-Of-Box eXplainable Artificial Intelligence for Digital Agriculture—0
Towards Human-Compatible XAI: Explaining Data Differentials with Concept Induction over Background Knowledge—0
Greybox XAI: a Neural-Symbolic learning framework to produce interpretable predictions for image classificationCode0
Learning Visual Explanations for DCNN-Based Image Classifiers Using an Attention MechanismCode0
Enhancing Cluster Analysis With Explainable AI and Multidimensional Cluster PrototypesCode0
Explaining Anomalies using Denoising Autoencoders for Financial Tabular Data—0
Explainable Clustering via Exemplars: Complexity and Efficient Approximation Algorithms—0
Analyzing Machine Learning Models for Credit Scoring with Explainable AI and Optimizing Investment Decisions—0
RESHAPE: Explaining Accounting Anomalies in Financial Statement Audits by enhancing SHapley Additive exPlanations—0
Explainable AI for clinical and remote health applications: a survey on tabular and time series data—0
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