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Explainable Artificial Intelligence (XAI)

Explainable Artificial Intelligence

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TitleStatusHype
Ada-SISE: Adaptive Semantic Input Sampling for Efficient Explanation of Convolutional Neural Networks—0
VitrAI -- Applying Explainable AI in the Real World—0
The human-AI relationship in decision-making: AI explanation to support people on justifying their decisions—0
Principles of Explanation in Human-AI Systems—0
Enhancing Human-Machine Teaming for Medical Prognosis Through Neural Ordinary Differential Equations (NODEs)—0
Mitigating belief projection in explainable artificial intelligence via Bayesian TeachingCode0
Convolutional Neural Network Interpretability with General Pattern Theory—0
Unbox the Black-box for the Medical Explainable AI via Multi-modal and Multi-centre Data Fusion: A Mini-Review, Two Showcases and Beyond—0
A Survey on Understanding, Visualizations, and Explanation of Deep Neural Networks—0
Hierarchical Variational Autoencoder for Visual Counterfactuals—0
Matching Representations of Explainable Artificial Intelligence and Eye Gaze for Human-Machine Interaction—0
Visual explanation of black-box model: Similarity Difference and Uniqueness (SIDU) methodCode0
Cognitive Perspectives on Context-based Decisions and Explanations—0
Explainable Artificial Intelligence Approaches: A Survey—0
A Few Good Counterfactuals: Generating Interpretable, Plausible and Diverse Counterfactual Explanations—0
How can I choose an explainer? An Application-grounded Evaluation of Post-hoc Explanations—0
Expanding Explainability: Towards Social Transparency in AI systems—0
Explainable Artificial Intelligence (XAI): An Engineering Perspective—0
Explainable AI and Adoption of Financial Algorithmic Advisors: an Experimental Study—0
Quantitative Evaluations on Saliency Methods: An Experimental Study—0
XAI-P-T: A Brief Review of Explainable Artificial Intelligence from Practice to TheoryCode0
Predictive K-means with local models—0
Explanation from Specification—0
Deep Argumentative Explanations—0
An Empirical Study of Explainable AI Techniques on Deep Learning Models For Time Series Tasks—0
Challenging common interpretability assumptions in feature attribution explanationsCode0
Explainable AI for Interpretable Credit Scoring—0
Symbolic AI for XAI: Evaluating LFIT Inductive Programming for Fair and Explainable Automatic Recruitment—0
Hate and Toxic Speech Detection in the Context of Covid-19 Pandemic using XAI: Ongoing Applied Research—0
Why Did the Robot Cross the Road? A User Study of Explanation in Human-Robot Interaction—0
Why model why? Assessing the strengths and limitations of LIMECode0
Understand Watchdogs: Discover How Game Bot Get Discovered—0
Explaining Deep Learning Models for Structured Data using Layer-Wise Relevance Propagation—0
Explainable Incipient Fault Detection Systems for Photovoltaic Panels—0
Data Representing Ground-Truth Explanations to Evaluate XAI Methods—0
Qualitative Investigation in Explainable Artificial Intelligence: A Bit More Insight from Social Science—0
Domain-Level Explainability -- A Challenge for Creating Trust in Superhuman AI Strategies—0
FairLens: Auditing Black-box Clinical Decision Support Systems—0
Explainable AI meets Healthcare: A Study on Heart Disease Dataset—0
Towards Harnessing Natural Language Generation to Explain Black-box Models—0
ExTRA: Explainable Therapy-Related Annotations—0
Argumentation Theoretical Frameworks for Explainable Artificial Intelligence—0
Proceedings of the AI-HRI Symposium at AAAI-FSS 2020—0
Generating Plausible Counterfactual Explanations for Deep Transformers in Financial Text Classification—0
The Need for Standardized Explainability—0
Squashing activation functions in benchmark tests: towards eXplainable Artificial Intelligence using continuous-valued logic—0
A general approach to compute the relevance of middle-level input features—0
Formalizing Trust in Artificial Intelligence: Prerequisites, Causes and Goals of Human Trust in AI—0
Integrating Intrinsic and Extrinsic Explainability: The Relevance of Understanding Neural Networks for Human-Robot Interaction—0
Stuttering Speech Disfluency Prediction using Explainable Attribution Vectors of Facial Muscle Movements—0
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