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Explainable Artificial Intelligence (XAI)

Explainable Artificial Intelligence

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TitleStatusHype
"Explanation" is Not a Technical Term: The Problem of Ambiguity in XAI—0
Connecting Algorithmic Research and Usage Contexts: A Perspective of Contextualized Evaluation for Explainable AI—0
Explanation-based Counterfactual Retraining(XCR): A Calibration Method for Black-box Models—0
OpenXAI: Towards a Transparent Evaluation of Model ExplanationsCode1
Eliminating The Impossible, Whatever Remains Must Be TrueCode0
Machine Learning in Sports: A Case Study on Using Explainable Models for Predicting Outcomes of Volleyball Matches—0
Towards ML Methods for Biodiversity: A Novel Wild Bee Dataset and Evaluations of XAI Methods for ML-Assisted Rare Species AnnotationsCode1
Explainable AI for High Energy Physics—0
Attributions Beyond Neural Networks: The Linear Program Case—0
Combining Counterfactuals With Shapley Values To Explain Image Models—0
Do We Need Another Explainable AI Method? Toward Unifying Post-hoc XAI Evaluation Methods into an Interactive and Multi-dimensional BenchmarkCode1
Challenges in Applying Explainability Methods to Improve the Fairness of NLP Models—0
Explainable Artificial Intelligence (XAI) for Internet of Things: A Survey—0
From Attribution Maps to Human-Understandable Explanations through Concept Relevance PropagationCode1
XAI for Cybersecurity: State of the Art, Challenges, Open Issues and Future Directions—0
A Learning-Based Method for Automatic Operator Selection in the Fanoos XAI SystemCode0
Can Requirements Engineering Support Explainable Artificial Intelligence? Towards a User-Centric Approach for Explainability Requirements—0
An Annotated Corpus of Textual Explanations for Clinical Decision SupportCode0
OmniXAI: A Library for Explainable AICode2
Multivariate Probabilistic Forecasting of Intraday Electricity Prices using Normalizing Flows—0
TSEM: Temporally Weighted Spatiotemporal Explainable Neural Network for Multivariate Time SeriesCode0
Deletion and Insertion Tests in Regression ModelsCode1
What Type of Explanation Do Rejected Job Applicants Want? Implications for Explainable AI—0
A Psychological Theory of Explainability—0
Grounding Explainability Within the Context of Global South in XAI—0
Exploring Local Explanations of Nonlinear Models Using Animated Linear Projections—0
Keep Your Friends Close and Your Counterfactuals Closer: Improved Learning From Closest Rather Than Plausible Counterfactual Explanations in an Abstract SettingCode0
The Conflict Between Explainable and Accountable Decision-Making Algorithms—0
A Meta-Analysis of the Utility of Explainable Artificial Intelligence in Human-AI Decision-Making—0
Explainable Deep Learning Methods in Medical Image Classification: A SurveyCode1
Let's Go to the Alien Zoo: Introducing an Experimental Framework to Study Usability of Counterfactual Explanations for Machine LearningCode0
Explain to Not Forget: Defending Against Catastrophic Forgetting with XAI—0
Scientific Explanation and Natural Language: A Unified Epistemological-Linguistic Perspective for Explainable AI—0
On the Effect of Information Asymmetry in Human-AI Teams—0
TRUST XAI: Model-Agnostic Explanations for AI With a Case Study on IIoT Security—0
Explainable Artificial Intelligence for Bayesian Neural Networks: Towards trustworthy predictions of ocean dynamicsCode0
Explainable AI via Learning to Optimize—0
An Explainable Regression Framework for Predicting Remaining Useful Life of Machines—0
A Survey on XAI for 5G and Beyond Security: Technical Aspects, Challenges and Research Directions—0
Process Knowledge-infused Learning for Suicidality Assessment on Social Media—0
Integrating Prior Knowledge in Post-hoc Explanations—0
Towards Involving End-users in Interactive Human-in-the-loop AI Fairness—0
Features of Explainability: How users understand counterfactual and causal explanations for categorical and continuous features in XAI—0
GAM(e) changer or not? An evaluation of interpretable machine learning models based on additive model constraintsCode5
On the Influence of Explainable AI on Automation Bias—0
Semantic interpretation for convolutional neural networks: What makes a cat a cat?—0
Explainable Analysis of Deep Learning Methods for SAR Image Classification—0
Doctor XAvIer: Explainable Diagnosis on Physician-Patient Dialogues and XAI EvaluationCode0
Multi-objective optimization determines when, which and how to fuse deep networks: an application to predict COVID-19 outcomes—0
A Data-Driven Framework for Identifying Investment Opportunities in Private Equity—0
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