Focus! Rating XAI Methods and Finding Biases

Author:

Arias-Duart Anna1,Pares Ferran2,Garcia-Gasulla Dario2,Gimenez-Abalos Victor2

Affiliation:

1. Barcelona Supercomputing Center (BSC),Barcelona,Spain

2. Barcelona Supercomputing Center (BSC)

Publisher

IEEE

Reference25 articles.

1. Towards Explainable Artificial Intelligence

2. Relative attributing propagation: Interpreting the comparative contributions of individual units in deep neural networks;nam,2019

3. Explaining nonlinear classification decisions with deep Taylor decomposition

4. Smoothgrad: removing noise by adding noise;smilkov,2017

5. Captum: A unified and generic model inter-pretability library for pytorch;kokhlikyan,2020

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1. Explaining Taxi Demand Prediction Models Based on Feature Importance;Communications in Computer and Information Science;2024

2. Evolutionary Approaches to Explainable Machine Learning;Handbook of Evolutionary Machine Learning;2023-11-02

3. Explainable Deep Learning Based-System for Multilabel Classification of 12-Lead ECG;2023 International Conference on Networking and Advanced Systems (ICNAS);2023-10-21

4. Deep learning-based detection and identification of brain tumor biomarkers in quantitative MR-images;Machine Learning: Science and Technology;2023-09-01

5. Assessing Biases through Visual Contexts;Electronics;2023-07-13

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