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Explainable Artificial Intelligence (XAI)

Explainable Artificial Intelligence

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Showing 301–350 of 1041 papers

TitleStatusHype
Local Universal Explainer (LUX) -- a rule-based explainer with factual, counterfactual and visual explanationsCode1
Reputation-Based Federated Learning Defense to Mitigate Threats in EEG Signal Classification—0
Explaining Interactions Between Text SpansCode0
IoTGeM: Generalizable Models for Behaviour-Based IoT Attack DetectionCode1
XAI Benchmark for Visual Explanation—0
The Thousand Faces of Explainable AI Along the Machine Learning Life Cycle: Industrial Reality and Current State of Research—0
In-Context Explainers: Harnessing LLMs for Explaining Black Box ModelsCode1
Extending CAM-based XAI methods for Remote Sensing Imagery SegmentationCode1
Trainable Noise Model as an XAI evaluation method: application on Sobol for remote sensing image segmentationCode1
Refutation of Shapley Values for XAI -- Additional Evidence—0
Sampling - Variational Auto Encoder - Ensemble: In the Quest of Explainable Artificial Intelligence—0
Explaining Predictive Uncertainty with Information Theoretic Shapley ValuesCode1
Explainable Artificial Intelligence for Drug Discovery and Development -- A Comprehensive Survey—0
From Classification to Segmentation with Explainable AI: A Study on Crack Detection and Growth Monitoring—0
Correlation between morphological evolution of splashing drop and exerted impact force revealed by interpretation of explainable artificial intelligence—0
The role of causality in explainable artificial intelligence—0
Evaluation of Human-Understandability of Global Model Explanations using Decision Tree—0
A Co-design Study for Multi-Stakeholder Job Recommender System ExplanationsCode0
Insights Into the Inner Workings of Transformer Models for Protein Function PredictionCode1
Beyond XAI:Obstacles Towards Responsible AI—0
A Context-Sensitive Approach to XAI in Music Performance—0
Natural Example-Based Explainability: a Survey—0
An explainable three dimension framework to uncover learning patterns: A unified look in variable sulci recognitionCode0
Leveraging Learning Metrics for Improved Federated Learning—0
Interpretable Medical Imagery Diagnosis with Self-Attentive Transformers: A Review of Explainable AI for Health Care—0
Calibrated Explanations for RegressionCode1
Ensemble of Counterfactual ExplainersCode0
PCNN: Probable-Class Nearest-Neighbor Explanations Improve Fine-Grained Image Classification Accuracy for AIs and HumansCode0
Exploration of the Rashomon Set Assists Trustworthy Explanations for Medical DataCode0
Deciphering knee osteoarthritis diagnostic features with explainable artificial intelligence: A systematic review—0
Explainable AI for tool wear prediction in turning—0
BSED: Baseline Shapley-Based Explainable Detector—0
FunnyBirds: A Synthetic Vision Dataset for a Part-Based Analysis of Explainable AI MethodsCode1
Predicting and explaining nonlinear material response using deep Physically Guided Neural Networks with Internal Variables—0
Using Kernel SHAP XAI Method to optimize the Network Anomaly Detection Model—0
Formally Explaining Neural Networks within Reactive Systems—0
Towards the Visualization of Aggregated Class Activation Maps to Analyse the Global Contribution of Class Features—0
A New Perspective on Evaluation Methods for Explainable Artificial Intelligence (XAI)—0
Revisiting the Performance-Explainability Trade-Off in Explainable Artificial Intelligence (XAI)—0
ForestMonkey: Toolkit for Reasoning with AI-based Defect Detection and Classification Models—0
The Impact of Imperfect XAI on Human-AI Decision-Making—0
Towards Bridging the FL Performance-Explainability Trade-Off: A Trustworthy 6G RAN Slicing Use-Case—0
eXplainable Artificial Intelligence (XAI) in aging clock models—0
TbExplain: A Text-based Explanation Method for Scene Classification Models with the Statistical Prediction Correction—0
What's meant by explainable model: A Scoping Review—0
Explanation-Guided Fair Federated Learning for Transparent 6G RAN Slicing—0
Towards eXplainable AI for Mobility Data Science—0
Measuring Perceived Trust in XAI-Assisted Decision-Making by Eliciting a Mental Model—0
Explaining and visualizing black-box models through counterfactual pathsCode0
Looking deeper into interpretable deep learning in neuroimaging: a comprehensive survey—0
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