Explainable deep learning AI : methods and challenges /: methods and challenges. (2023)

• Record Type: Book
• Further Information: Note: Edited by Jenny Benois-Pineau, Romain Bourqui, Dragutin Petkovic, Georges Quenot.
• Editors: Benois-Pineau, Jenny; Bourqui, Romain; Petkovic, Dragutin; Quenot, Georges
• Contents: 1. Introduction; 2. Explainable Deep Learning: Methods, Concepts and New Developments; 3. Compact Visualization of DNN Classification Performances for Interpretation and Improvement; 4. Explaining How Deep Neural Networks Forget by Deep Visualization; 5. Characterizing a scene recognition model by identifying the effect of input features via semantic- wise attribution; 6. A Feature Understanding Method for Explanation of Image Classification by Convolutional Neural Networks; 7. Explainable Deep Learning for decrypting disease signature in Multiple Sclerosis; 8. Explanation of CNN Image Classifiers with Hiding Parts; 9. Remove to Improve?; 10. Explaining CNN classifier using Association Rule Mining Methods on time-series; 11. A Methodology to compare XAI Explanations on Natural Language Processing; 12. Improving Malware Detection with Explainable Machine Learning; 13. AI Explainability. A Bridge between Machine Vision and Natural Language Processing; 14. Explainable Deep Learning for Multimedia Indexing and Retrieval; 15. User Tests and Techniques for the Post-Hoc Explainability of Deep Learning Models; 16. Conclusion
• Publisher Details: Amsterdam : Academic Press
• Publication Date: 2023
• Extent: 1 online resource
• Subjects: 006.31; Machine learning; Deep learning (Machine learning); Explanation-based learning; Artificial intelligence
• Languages: English
• ISBNs: 9780323993883
• Related ISBNs: 9780323960984
• Notes: Note: Description based on CIP data; resource not viewed.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.