Finding the right XAI method -- A Guide for the Evaluation and Ranking of Explainable AI Methods in Climate Science

1 March 2023

Papers citing "Finding the right XAI method -- A Guide for the Evaluation and Ranking of Explainable AI Methods in Climate Science"

8 / 8 papers shown

Title
ODExAI: A Comprehensive Object Detection Explainable AI Evaluation Loc Phuc Truong Nguyen Hung Truong Thanh Nguyen Hung Cao 59 0 0 27 Apr 2025
Tackling the Accuracy-Interpretability Trade-off in a Hierarchy of Machine Learning Models for the Prediction of Extreme Heatwaves Alessandro Lovo Amaury Lancelin Corentin Herbert Freddy Bouchet AI4CE 23 0 0 01 Oct 2024
A Fresh Look at Sanity Checks for Saliency Maps Anna Hedström Leander Weber Sebastian Lapuschkin Marina M.-C. Höhne FAtt LRM 37 5 0 03 May 2024
Quantitative Analysis of Primary Attribution Explainable Artificial Intelligence Methods for Remote Sensing Image Classification Akshatha Mohan Joshua Peeples 24 4 0 06 Jun 2023
The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective Satyapriya Krishna Tessa Han Alex Gu Steven Wu S. Jabbari Himabindu Lakkaraju 174 185 0 03 Feb 2022
Emulating Aerosol Microphysics with Machine Learning P. Harder D. Watson‐Parris Dominik Strassel N. Gauger P. Stier J. Keuper 20 6 0 22 Sep 2021
Methods for Interpreting and Understanding Deep Neural Networks G. Montavon Wojciech Samek K. Müller FaML 234 2,235 0 24 Jun 2017
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 230 7,903 0 13 Jun 2015