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Explainable Artificial Intelligence (XAI)

Explainable Artificial Intelligence

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Showing 501–550 of 1041 papers

TitleStatusHype
From slides (through tiles) to pixels: an explainability framework for weakly supervised models in pre-clinical pathology—0
VR-LENS: Super Learning-based Cybersickness Detection and Explainable AI-Guided Deployment in Virtual Reality—0
Using Explainability to Inform Statistical Downscaling Based on Deep Learning Beyond Standard Validation ApproachesCode0
Example-Based Explainable AI and its Application for Remote Sensing Image Classification—0
Hypothesis Testing and Machine Learning: Interpreting Variable Effects in Deep Artificial Neural Networks using Cohen's f2—0
Diagrammatization and Abduction to Improve AI Interpretability With Domain-Aligned Explanations for Medical Diagnosis—0
LesionAid: Vision Transformers-based Skin Lesion Generation and Classification—0
Charting the Sociotechnical Gap in Explainable AI: A Framework to Address the Gap in XAI—0
BALANCE: Bayesian Linear Attribution for Root Cause LocalizationCode1
Towards the Linear Algebra Based Taxonomy of XAI Explanations—0
Even if Explanations: Prior Work, Desiderata & Benchmarks for Semi-Factual XAICode0
Multi-dimensional concept discovery (MCD): A unifying framework with completeness guaranteesCode1
Incentives to Offer Algorithmic Recourse—0
Explainable AI does not provide the explanations end-users are asking for—0
Selective Explanations: Leveraging Human Input to Align Explainable AI—0
Explaining Quantum Circuits with Shapley Values: Towards Explainable Quantum Machine LearningCode1
ExClaim: Explainable Neural Claim Verification Using RationalizationCode0
Rationalization for Explainable NLP: A Survey—0
An Artificial Intelligence-based model for cell killing prediction: development, validation and explainability analysis of the ANAKIN model—0
Explainable, Interpretable & Trustworthy AI for Intelligent Digital Twin: Case Study on Remaining Useful Life—0
MAFUS: a Framework to predict mortality risk in MAFLD subjects—0
Explainable Data Poison Attacks on Human Emotion Evaluation Systems based on EEG SignalsCode0
Monotonicity for AI ethics and society: An empirical study of the monotonic neural additive model in criminology, education, health care, and finance—0
Trends in Explainable AI (XAI) LiteratureCode1
Towards Reconciling Usability and Usefulness of Explainable AI Methodologies—0
Causal Abstraction: A Theoretical Foundation for Mechanistic Interpretability—0
Video Surveillance System Incorporating Expert Decision-making Process: A Case Study on Detecting Calving Signs in Cattle—0
Learning Support and Trivial Prototypes for Interpretable Image ClassificationCode1
Semantic match: Debugging feature attribution methods in XAI for healthcare—0
Behave-XAI: Deep Explainable Learning of Behavioral Representational Data—0
A Theoretical Framework for AI Models Explainability with Application in Biomedicine—0
Explainable AI for Bioinformatics: Methods, Tools, and ApplicationsCode1
Detection, Explanation and Filtering of Cyber Attacks Combining Symbolic and Sub-Symbolic Methods—0
Bengali Handwritten Digit Recognition using CNN with Explainable AI—0
GraphIX: Graph-based In silico XAI(explainable artificial intelligence) for drug repositioning from biopharmaceutical network—0
Explaining Classifications to Non Experts: An XAI User Study of Post Hoc Explanations for a Classifier When People Lack Expertise—0
Context-dependent Explainability and Contestability for Trustworthy Medical Artificial Intelligence: Misclassification Identification of Morbidity Recognition Models in Preterm Infants—0
It is not "accuracy vs. explainability" -- we need both for trustworthy AI systems—0
Counterfactual Explanations for Misclassified Images: How Human and Machine Explanations DifferCode0
Interpretable ML for Imbalanced DataCode0
On Computing Probabilistic Abductive Explanations—0
Analysis of Explainable Artificial Intelligence Methods on Medical Image Classification—0
Causality-Aware Local Interpretable Model-Agnostic ExplanationsCode1
XRand: Differentially Private Defense against Explanation-Guided Attacks—0
MixBoost: Improving the Robustness of Deep Neural Networks by Boosting Data Augmentation—0
Going Beyond XAI: A Systematic Survey for Explanation-Guided Learning—0
A Time Series Approach to Explainability for Neural Nets with Applications to Risk-Management and Fraud Detection—0
Explainable Artificial Intelligence for Improved Modeling of ProcessesCode0
Optimizing Explanations by Network Canonization and Hyperparameter Search—0
Attribution-based XAI Methods in Computer Vision: A Review—0
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