Enhancing advanced driver assistance systems through explainable artificial intelligence for driver anomaly detection-Reference-Cited by-同舟云学术

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Enhancing advanced driver assistance systems through explainable artificial intelligence for driver anomaly detection

Published:2024-09 Issue: Volume:17 Page:100580
ISSN:2666-8270
Container-title:Machine Learning with Applications
language:en
Short-container-title:Machine Learning with Applications

Author:

Chengula Tumlumbe Juliana^ORCID,Mwakalonge Judith,Comert Gurcan,Sulle Methusela,Siuhi Saidi,Osei Eric

Publisher

Elsevier BV

Reference43 articles.

1. Explainable AI for retinoblastoma diagnosis: Interpreting deep learning models with LIME and SHAP;Aldughayfiq;Diagnostics,2023

2. SHAP happens: Unlocking the secrets of model interpretability;Ameya Morbale,2023

3. Explaining anomalies detected by autoencoders using Shapley Additive Explanations;Antwarg;Expert Systems with Applications,2021

4. CLEARING THE CONFUSION: Recommended common naming for advanced driver assistance technologies;Brannon,2019

5. IoT anomaly detection methods and applications: A survey;Chatterjee;Internet of Things,2022

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1. Prediction of bike-sharing station demand using explainable artificial intelligence;Machine Learning with Applications;2024-09

2. An Investigation of factors Influencing electric vehicles charging Needs: Machine learning approach;Transportation Research Interdisciplinary Perspectives;2024-09

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