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Explainable Artificial Intelligence (XAI)

Explainable Artificial Intelligence

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Showing 401–450 of 1041 papers

TitleStatusHype
A Novel real-time arrhythmia detection model using YOLOv8—0
An Experimental Investigation into the Evaluation of Explainability MethodsCode0
PIC-XAI: Post-hoc Image Captioning Explanation using SegmentationCode0
Balancing Explainability-Accuracy of Complex Models—0
A Survey of Explainable AI and Proposal for a Discipline of Explanation Engineering—0
Echoes of Biases: How Stigmatizing Language Affects AI Performance—0
Pittsburgh Learning Classifier Systems for Explainable Reinforcement Learning: Comparing with XCSCode0
Unveiling the Potential of Counterfactuals Explanations in Employability—0
XAI for Self-supervised Clustering of Wireless Spectrum Activity—0
ConvXAI: Delivering Heterogeneous AI Explanations via Conversations to Support Human-AI Scientific WritingCode1
Unlocking the black box of CNNs: Visualising the decision-making process with PRISMCode1
Disproving XAI Myths with Formal Methods -- Initial Results—0
AURA : Automatic Mask Generator using Randomized Input Sampling for Object Removal—0
eXplainable Artificial Intelligence on Medical Images: A Survey—0
COCKATIEL: COntinuous Concept ranKed ATtribution with Interpretable ELements for explaining neural net classifiers on NLP tasksCode0
Achieving Diversity in Counterfactual Explanations: a Review and Discussion—0
Explainable Knowledge Distillation for On-device Chest X-Ray Classification—0
Why Don't You Do Something About It? Outlining Connections between AI Explanations and User Actions—0
Unjustified Sample Sizes and Generalizations in Explainable AI Research: Principles for More Inclusive User Studies—0
XAI in Computational Linguistics: Understanding Political Leanings in the Slovenian ParliamentCode0
Explaining the ghosts: Feminist intersectional XAI and cartography as methods to account for invisible labour—0
Human Attention-Guided Explainable Artificial Intelligence for Computer Vision Models—0
Towards Feminist Intersectional XAI: From Explainability to Response-Ability—0
Hardware Acceleration of Explainable Artificial Intelligence—0
Additive Class Distinction Maps using Branched-GANs—0
Biomarker Investigation using Multiple Brain Measures from MRI through XAI in Alzheimer's Disease Classification—0
Widespread Increases in Future Wildfire Risk to Global Forest Carbon Offset Projects Revealed by Explainable AI—0
Metric Tools for Sensitivity Analysis with Applications to Neural Networks—0
A Perspective on Explainable Artificial Intelligence Methods: SHAP and LIME—0
Calibrated Explanations: with Uncertainty Information and CounterfactualsCode1
Revealing Similar Semantics Inside CNNs: An Interpretable Concept-based Comparison of Feature Spaces—0
The Dark Side of Explanations: Poisoning Recommender Systems with Counterfactual Examples—0
Evaluating the Stability of Semantic Concept Representations in CNNs for Robust Explainability—0
XAI-based Comparison of Input Representations for Audio Event Classification—0
Categorical Foundations of Explainable AI: A Unifying Theory—0
Disagreement amongst counterfactual explanations: How transparency can be deceptive—0
On the Soundness of XAI in Prognostics and Health Management (PHM)Code0
Generating robust counterfactual explanations—0
Explainable AI Insights for Symbolic Computation: A case study on selecting the variable ordering for cylindrical algebraic decomposition—0
Towards a Praxis for Intercultural Ethics in Explainable AI—0
SketchXAI: A First Look at Explainability for Human Sketches—0
Trust and Reliance in Consensus-Based Explanations from an Anti-Misinformation Agent—0
An XAI framework for robust and transparent data-driven wind turbine power curve modelsCode1
Impact Of Explainable AI On Cognitive Load: Insights From An Empirical Study—0
Bridging the Gap: Gaze Events as Interpretable Concepts to Explain Deep Neural Sequence ModelsCode0
A Review on Explainable Artificial Intelligence for Healthcare: Why, How, and When?—0
Explainable AI And Visual Reasoning: Insights From Radiology—0
Towards Self-Explainability of Deep Neural Networks with Heatmap Captioning and Large-Language Models—0
Deep-BIAS: Detecting Structural Bias using Explainable AICode1
A Brief Review of Explainable Artificial Intelligence in Healthcare—0
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