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TitleStatusHype
Evaluating counterfactual explanations using Pearl's counterfactual method—0
Evaluating Explanations Through LLMs: Beyond Traditional User Studies—0
Evaluating Human-like Explanations for Robot Actions in Reinforcement Learning Scenarios—0
Evaluating Large Language Model Capabilities in Assessing Spatial Econometrics Research—0
Evaluating Research Novelty Detection: Counterfactual Approaches—0
Evaluating Stability of Unreflective Alignment—0
Evaluating the impact of quarantine measures on COVID-19 spread—0
Evaluating the Impact of Regulatory Policies on Social Welfare in Difference-in-Difference Settings—0
Evaluating the Utility of Model Explanations for Model Development—0
Evaluation of Attribution Bias in Retrieval-Augmented Large Language Models—0
Evaluation of Induced Expert Knowledge in Causal Structure Learning by NOTEARS—0
Even-if Explanations: Formal Foundations, Priorities and Complexity—0
Eventual Discounting Temporal Logic Counterfactual Experience Replay—0
Evidence-based Prescriptive Analytics, CAUSAL Digital Twin and a Learning Estimation Algorithm—0
Evidence Contextualization and Counterfactual Attribution for Conversational QA over Heterogeneous Data with RAG Systems—0
Exogenous Consideration and Extended Random Utility—0
Expected Eligibility Traces—0
Explainability-Driven Quality Assessment for Rule-Based Systems—0
Explainability for Machine Learning Models: From Data Adaptability to User Perception—0
Explainable AI for Psychological Profiling from Digital Footprints: A Case Study of Big Five Personality Predictions from Spending Data—0
Explainable Anatomy-Guided AI for Prostate MRI: Foundation Models and In Silico Clinical Trials for Virtual Biopsy-based Risk Assessment—0
Explainable Anomaly Detection: Counterfactual driven What-If Analysis—0
Explainable Artificial Intelligence Techniques for Software Development Lifecycle: A Phase-specific Survey—0
Explainable bank failure prediction models: Counterfactual explanations to reduce the failure risk—0
Explainable Fairness in Recommendation—0
Explainable History Distillation by Marked Temporal Point Process—0
Explainable Image Classification with Evidence Counterfactual—0
Explainable Machine Learning in Deployment—0
Explainable Machine Learning System for Predicting Chronic Kidney Disease in High-Risk Cardiovascular Patients—0
Explainable Reinforcement Learning Agents Using World Models—0
Explainable Time Series Prediction of Tyre Energy in Formula One Race Strategy—0
Explaining Agent Behavior with Large Language Models—0
Explaining Chest X-ray Pathology Models using Textual Concepts—0
Explaining Data-Driven Decisions made by AI Systems: The Counterfactual Approach—0
Explaining Deep Learning Models using Causal Inference—0
Explaining Expert Search and Team Formation Systems with ExES—0
Explaining Groups of Instances Counterfactually for XAI: A Use Case, Algorithm and User Study for Group-Counterfactuals—0
Explaining Image Classifiers Using Contrastive Counterfactuals in Generative Latent Spaces—0
Explaining k-Nearest Neighbors: Abductive and Counterfactual Explanations—0
Explaining Model Confidence Using Counterfactuals—0
Explaining Predictions from Tree-based Boosting Ensembles—0
Explaining Recommendation System Using Counterfactual Textual Explanations—0
Explaining the Behavior of Black-Box Prediction Algorithms with Causal Learning—0
Explaining the Black-box Smoothly- A Counterfactual Approach—0
Explaining The Efficacy of Counterfactually Augmented Data—0
Explaining Time Series by Counterfactuals—0
Explaining Visual Models by Causal Attribution—0
Explanation-based Counterfactual Retraining(XCR): A Calibration Method for Black-box Models—0
Exploiting Contextual Structure to Generate Useful Auxiliary Tasks—0
Exploratory Not Explanatory: Counterfactual Analysis of Saliency Maps for Deep Reinforcement Learning—0
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