SOTAVerified

Explainable Artificial Intelligence (XAI)

Explainable Artificial Intelligence

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 701–750 of 1041 papers

TitleStatusHype
TSEM: Temporally Weighted Spatiotemporal Explainable Neural Network for Multivariate Time SeriesCode0
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
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
On the Effect of Information Asymmetry in Human-AI Teams—0
Scientific Explanation and Natural Language: A Unified Epistemological-Linguistic Perspective for Explainable AI—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
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
Modern Views of Machine Learning for Precision Psychiatry—0
A Data-Driven Framework for Identifying Investment Opportunities in Private Equity—0
A Meta Survey of Quality Evaluation Criteria in Explanation Methods—0
Concept Embedding Analysis: A Review—0
Multi-modal multi-objective model-based genetic programming to find multiple diverse high-quality models—0
Trust and Reliance in XAI - Distinguishing Between Attitudinal and Behavioral Measures—0
On Understanding the Influence of Controllable Factors with a Feature Attribution Algorithm: a Medical Case Study—0
Optimizing Binary Decision Diagrams with MaxSAT for classification—0
An Explainable Stacked Ensemble Model for Static Route-Free Estimation of Time of Arrival—0
Beyond Explaining: Opportunities and Challenges of XAI-Based Model Improvement—0
Sparse Subspace Clustering for Concept Discovery (SSCCD)—0
Benchmarking Instance-Centric Counterfactual Algorithms for XAI: From White Box to Black BoxCode0
Explainability for identification of vulnerable groups in machine learning models—0
Threading the Needle of On and Off-Manifold Value Functions for Shapley Explanations—0
Training Characteristic Functions with Reinforcement Learning: XAI-methods play Connect Four—0
Deep Learning Reproducibility and Explainable AI (XAI)—0
The Response Shift Paradigm to Quantify Human Trust in AI Recommendations—0
Explainability of Predictive Process Monitoring Results: Can You See My Data Issues?Code0
XAI in the context of Predictive Process Monitoring: Too much to RevealCode0
Contextual Importance and Utility: aTheoretical FoundationCode0
HaT5: Hate Language Identification using Text-to-Text Transfer Transformer—0
Explainable COVID-19 Infections Identification and Delineation Using Calibrated Pseudo LabelsCode0
Interpretable pipelines with evolutionarily optimized modules for RL tasks with visual inputs—0
Investigating Explainability of Generative AI for Code through Scenario-based Design—0
Show:102550
← PrevPage 15 of 21Next →

No leaderboard results yet.