Focus! Rating XAI Methods and Finding Biases

Focus! Rating XAI Methods and Finding Biases

28 September 2021

Anna Arias-Duart

Dario Garcia-Gasulla

Víctor Giménez-Ábalos

Papers citing "Focus! Rating XAI Methods and Finding Biases"

15 / 15 papers shown

Title
A Tale of Two Imperatives: Privacy and Explainability Supriya Manna Niladri Sett 91 0 0 30 Dec 2024
Advancing Attribution-Based Neural Network Explainability through Relative Absolute Magnitude Layer-Wise Relevance Propagation and Multi-Component Evaluation Davor Vukadin Petar Afrić Marin Šilić Goran Delač FAtt 93 2 0 12 Dec 2024
Establishing and Evaluating Trustworthy AI: Overview and Research Challenges Dominik Kowald S. Scher Viktoria Pammer-Schindler Peter Müllner Kerstin Waxnegger ... Andreas Truegler Eduardo E. Veas Roman Kern Tomislav Nad Simone Kopeinik 34 3 0 15 Nov 2024
On the Evaluation Consistency of Attribution-based Explanations Jiarui Duan Haoling Li Haofei Zhang Hao Jiang Mengqi Xue Li Sun Mingli Song Jie Song XAI 46 0 0 28 Jul 2024
Evolutionary Computation and Explainable AI: A Roadmap to Transparent Intelligent Systems Ryan Zhou Jaume Bacardit Alexander Brownlee Stefano Cagnoni Martin Fyvie Giovanni Iacca John Mccall N. V. Stein David Walker Ting-Kuei Hu 39 0 0 12 Jun 2024
Classification Metrics for Image Explanations: Towards Building Reliable XAI-Evaluations Benjamin Frész Lena Lörcher Marco F. Huber 18 1 0 07 Jun 2024
Red-Teaming Segment Anything Model K. Jankowski Bartlomiej Sobieski Mateusz Kwiatkowski J. Szulc Michael F. Janik Hubert Baniecki P. Biecek VLM AAML 40 3 0 02 Apr 2024
Impact of Feature Encoding on Malware Classification Explainability E. Manai M. Mejri Jaouhar Fattahi 24 1 0 10 Jul 2023
Evolutionary approaches to explainable machine learning Ryan Zhou Ting-Kuei Hu 33 7 0 23 Jun 2023
Finding the right XAI method -- A Guide for the Evaluation and Ranking of Explainable AI Methods in Climate Science P. Bommer M. Kretschmer Anna Hedström Dilyara Bareeva Marina M.-C. Höhne 38 38 0 01 Mar 2023
The Meta-Evaluation Problem in Explainable AI: Identifying Reliable Estimators with MetaQuantus Anna Hedström P. Bommer Kristoffer K. Wickstrom Wojciech Samek Sebastian Lapuschkin Marina M.-C. Höhne 29 21 0 14 Feb 2023
Understanding User Preferences in Explainable Artificial Intelligence: A Survey and a Mapping Function Proposal M. Hashemi Ali Darejeh Francisco Cruz 40 3 0 07 Feb 2023
Shortcomings of Top-Down Randomization-Based Sanity Checks for Evaluations of Deep Neural Network Explanations Alexander Binder Leander Weber Sebastian Lapuschkin G. Montavon Klaus-Robert Muller Wojciech Samek FAtt AAML 11 22 0 22 Nov 2022
Quantus: An Explainable AI Toolkit for Responsible Evaluation of Neural Network Explanations and Beyond Anna Hedström Leander Weber Dilyara Bareeva Daniel G. Krakowczyk Franz Motzkus Wojciech Samek Sebastian Lapuschkin Marina M.-C. Höhne XAI ELM 16 168 0 14 Feb 2022
Investigating Saturation Effects in Integrated Gradients Vivek Miglani Narine Kokhlikyan B. Alsallakh Miguel Martin Orion Reblitz-Richardson FAtt 16 23 0 23 Oct 2020