{"total":26,"rows":[{"id":"2106.12543","title":"Synthetic Benchmarks for Scientific Research in Explainable Machine Learning","created":"2021-06-23","cited_by_count":59,"area":null},{"id":"2202.00734","title":"Framework for Evaluating Faithfulness of Local Explanations","created":"2022-02-01","cited_by_count":55,"area":null},{"id":"2106.09078","title":"Probing GNN Explainers: A Rigorous Theoretical and Empirical Analysis of GNN Explanation Methods","created":"2021-06-16","cited_by_count":36,"area":null},{"id":"2106.12447","title":"How Well do Feature Visualizations Support Causal Understanding of CNN Activations?","created":"2021-06-23","cited_by_count":28,"area":null},{"id":"2207.06236","title":"Explainable Intrusion Detection Systems (X-IDS): A Survey of Current Methods, Challenges, and Opportunities","created":"2022-07-13","cited_by_count":25,"area":null},{"id":"2307.14239","title":"Revisiting the Performance-Explainability Trade-Off in Explainable Artificial Intelligence (XAI)","created":"2023-07-26","cited_by_count":10,"area":null},{"id":"2309.11960","title":"A Comprehensive Review on Financial Explainable AI","created":"2023-09-21","cited_by_count":10,"area":null},{"id":"2208.01510","title":"s-LIME: Reconciling Locality and Fidelity in Linear Explanations","created":"2022-08-02","cited_by_count":8,"area":null},{"id":"2211.06154","title":"REVEL Framework to measure Local Linear Explanations for black-box models: Deep Learning Image Classification case of study","created":"2022-11-11","cited_by_count":5,"area":null},{"id":"2305.01808","title":"Hamming Similarity and Graph Laplacians for Class Partitioning and Adversarial Image Detection","created":"2023-05-02","cited_by_count":4,"area":null},{"id":"2308.03161","title":"Precise Benchmarking of Explainable AI Attribution Methods","created":"2023-08-06","cited_by_count":4,"area":null},{"id":"2402.11168","title":"Trust Regions for Explanations via Black-Box Probabilistic Certification","created":"2024-02-17","cited_by_count":4,"area":null},{"id":"2210.04533","title":"Local Interpretable Model Agnostic Shap Explanations for machine learning models","created":"2022-10-10","cited_by_count":3,"area":null},{"id":"2404.02611","title":"X-SHIELD: Regularization for eXplainable Artificial Intelligence","created":"2024-04-03","cited_by_count":3,"area":null},{"id":"2209.09157","title":"RESHAPE: Explaining Accounting Anomalies in Financial Statement Audits by enhancing SHapley Additive exPlanations","created":"2022-09-19","cited_by_count":2,"area":null},{"id":"2410.12803","title":"Developing Guidelines for Functionally-Grounded Evaluation of Explainable Artificial Intelligence using Tabular Data","created":"2024-09-30","cited_by_count":2,"area":null},{"id":"2201.12143","title":"Locally Invariant Explanations: Towards Stable and Unidirectional Explanations through Local Invariant Learning","created":"2022-01-28","cited_by_count":1,"area":null},{"id":"2204.05579","title":"Enriching Artificial Intelligence Explanations with Knowledge Fragments","created":"2022-04-12","cited_by_count":1,"area":null},{"id":"2404.16495","title":"T-Explainer: A Model-Agnostic Explainability Framework Based on Gradients","created":"2024-04-25","cited_by_count":1,"area":null},{"id":"2504.20667","title":"Explanations Go Linear: Post-hoc Explainability for Tabular Data with Interpretable Meta-Encoding","created":"2025-04-29","cited_by_count":1,"area":null},{"id":"2302.07760","title":"Streamlining models with explanations in the learning loop","created":"2023-02-15","cited_by_count":0,"area":null},{"id":"2310.15610","title":"Using Slisemap to interpret physical data","created":"2023-10-24","cited_by_count":0,"area":null},{"id":"2602.22115","title":"Slice and Explain: Logic-Based Explanations for Neural Networks through Domain Slicing","created":"2026-02-25","cited_by_count":0,"area":null},{"id":"2605.27618","title":"Evaluating Local Explainability Metrics for Machine Learning Models on Tabular Data","created":"2026-05-26","cited_by_count":0,"area":null},{"id":"2606.22886","title":"Explanation-Guided Medical Named Entity Recognition with Stability and Boundary Awareness for Atopic Dermatitis","created":"2026-06-22","cited_by_count":0,"area":null},{"id":"2609.07462","title":"When Superpixels Fail on Documents: A Study of Segmentation for LIME Explanations","created":"2026-09-07","cited_by_count":0,"area":null}],"next_cursor":null}