Towards Quantification of Explainability in Explainable Artificial Intelligence Methods

22 November 2019

Papers citing "Towards Quantification of Explainability in Explainable Artificial Intelligence Methods"

7 / 7 papers shown

Title
Benchmark Evaluation of Anomaly-Based Intrusion Detection Systems in the Context of Smart Grids Ömer Sen Simon Glomb Martin Henze Andreas Ulbig 21 1 0 21 Dec 2023
A Review on Explainable Artificial Intelligence for Healthcare: Why, How, and When? M. Rubaiyat Hossain Mondal Prajoy Podder 26 56 0 10 Apr 2023
Take 5: Interpretable Image Classification with a Handful of Features Thomas Norrenbrock Marco Rudolph Bodo Rosenhahn FAtt 42 7 0 23 Mar 2023
FederatedTrust: A Solution for Trustworthy Federated Learning Pedro Miguel Sánchez Sánchez Alberto Huertas Celdrán Ning Xie Gérome Bovet Gregorio Martínez Pérez Burkhard Stiller 36 21 0 20 Feb 2023
SoK: Explainable Machine Learning for Computer Security Applications A. Nadeem D. Vos Clinton Cao Luca Pajola Simon Dieck Robert Baumgartner S. Verwer 34 40 0 22 Aug 2022
Explainability in Process Outcome Prediction: Guidelines to Obtain Interpretable and Faithful Models Alexander Stevens Johannes De Smedt XAI FaML 17 12 0 30 Mar 2022
Knowledge Tracing: A Survey Ghodai M. Abdelrahman Qing Wang B. Nunes AI4Ed 26 193 0 08 Jan 2022