Explainable Artificial Intelligence for Intelligent Transportation Systems
$83.51
- Paperback
276 pages
- Release Date
30 July 2025
Summary
Explainable AI for Smarter, Safer Transportation
Artificial Intelligence (AI) and Machine Learning (ML) are poised to transform all industries, including Intelligent Transportation Systems (ITS). While ML, especially deep learning models, excel in accuracy, their results often lack human interpretability. This poses challenges, particularly in safety-critical systems like transportation. Explainable AI (XAI) addresses this by creating human-understandable representations of machine …
Book Details
| ISBN-13: | 9781032348537 |
|---|---|
| ISBN-10: | 1032348534 |
| Author: | Amina Adadi, Afaf Bouhoute |
| Publisher: | Taylor & Francis Ltd |
| Imprint: | CRC Press |
| Format: | Paperback |
| Number of Pages: | 276 |
| Release Date: | 30 July 2025 |
| Weight: | 530g |
| Dimensions: | 254mm x 178mm |
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About The Author
Amina Adadi
Amina Adadi is an assistant professor of Computer Science at Moulay Ismail University, Morocco. She has published several papers including refereed IEEE/Springer/Elsevier journal articles, conference papers, and book chapters. She has served and continues to serve on executive and technical program committees of numerous international conferences such as IEEE IRASET, ESETI, and WITS. Her research interests include Explainable AI, Data Efficient Models: Data Augmentation, Few-shot learning, Self-supervised learning, Transfer Learning, Blockchain, and Smart Contracts.
Afaf Bouhoute holds a Ph.D., a Master’s degree in information systems, networking, and multimedia, and a bachelor’s degree in computer science, all from the faculty of science, Sidi Mohamed Ben Abdellah University, Fez, Morocco. She regularly serves in the technical and program committees of numerous international conferences such as ISCV, WINCOM, ICECOCS, and ICDS. Her research interests span different techniques and algorithms for modeling and analysis of driving behavior, with a focus on their application in cooperative intelligent transportation systems.
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