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Explainable Artificial Intelligence (XAI)

Explainable Artificial Intelligence

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Showing 551–600 of 1041 papers

TitleStatusHype
AUTOLYCUS: Exploiting Explainable AI (XAI) for Model Extraction Attacks against Interpretable Models—0
Example-Based Explainable AI and its Application for Remote Sensing Image Classification—0
Using Explainability to Inform Statistical Downscaling Based on Deep Learning Beyond Standard Validation ApproachesCode0
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
Hypothesis Testing and Machine Learning: Interpreting Variable Effects in Deep Artificial Neural Networks using Cohen's f2—0
LesionAid: Vision Transformers-based Skin Lesion Generation and Classification—0
Diagrammatization and Abduction to Improve AI Interpretability With Domain-Aligned Explanations for Medical Diagnosis—0
Charting the Sociotechnical Gap in Explainable AI: A Framework to Address the Gap in XAI—0
Towards the Linear Algebra Based Taxonomy of XAI Explanations—0
Even if Explanations: Prior Work, Desiderata & Benchmarks for Semi-Factual XAICode0
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
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
Monotonicity for AI ethics and society: An empirical study of the monotonic neural additive model in criminology, education, health care, and finance—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
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
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
Bengali Handwritten Digit Recognition using CNN with Explainable AI—0
Detection, Explanation and Filtering of Cyber Attacks Combining Symbolic and Sub-Symbolic Methods—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
Counterfactual Explanations for Misclassified Images: How Human and Machine Explanations DifferCode0
It is not "accuracy vs. explainability" -- we need both for trustworthy AI systems—0
Interpretable ML for Imbalanced DataCode0
On Computing Probabilistic Abductive Explanations—0
Analysis of Explainable Artificial Intelligence Methods on Medical Image Classification—0
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
Foiling Explanations in Deep Neural NetworksCode0
Attribution-based XAI Methods in Computer Vision: A Review—0
The European AI Liability Directives -- Critique of a Half-Hearted Approach and Lessons for the Future—0
Overcoming Catastrophic Forgetting by XAI—0
Explainable Artificial Intelligence (XAI) from a user perspective- A synthesis of prior literature and problematizing avenues for future research—0
Interpretability of an Interaction Network for identifying H bb jets—0
Crown-CAM: Interpretable Visual Explanations for Tree Crown Detection in Aerial Images—0
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