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Generative Artificial Intelligence and Explainable Artificial Intelligence for Real-world Applications - Future Generation Information Systems
Generative Artificial Intelligence and Explainable Artificial Intelligence for Real-world Applications - Future Generation Information Systems
The text focuses on the methodologies of generative artificial intelligence, and explainable artificial intelligence, providing readers with an understanding of how artificial intelligence models can be transparent and interpretable. It explores various XAI techniques, feature importance, SHAP values, LIME, and counterfactual explanations.
| Media | Books Hardcover Book (Book with hard spine and cover) |
| To be released | October 27, 2026 |
| ISBN13 | 9781041068761 |
| Publishers | Taylor & Francis Ltd |
| Pages | 512 |
| Dimensions | 150 × 220 × 20 mm · 798 g (Weight (estimated)) |
| Editor | Aurangzeb, Khursheed |
| Editor | Khaitan, Supriya (GCET) |
| Editor | Rai, Hari Mohan |
| Editor | Rajendran, Ramkumar |
| Editor | Rohatgi, Divya |
| Editor | Sweta, Soni |