Open Access
Issue
E3S Web Conf.
Volume 399, 2023
International Conference on Newer Engineering Concepts and Technology (ICONNECT-2023)
Article Number 04030
Number of page(s) 9
Section Computer Science
DOI https://doi.org/10.1051/e3sconf/202339904030
Published online 12 July 2023
  1. Exploring the Landscape of Explainable Artificial Intelligence [Google Scholar]
  2. Interpretable Machine Learning Models for Explainable Decision Support Systems: A Survey [Google Scholar]
  3. Visual Explanations in Explainable Artificial Intelligence: A Review of Techniques and Applications [Google Scholar]
  4. Ethical Considerations in Explainable Artificial Intelligence: A Literature Survey [Google Scholar]
  5. Human-Centric Approaches to Explainable Artificial Intelligence: A Comprehensive Review [Google Scholar]
  6. Explainable Artificial Intelligence for Healthcare Decision Support: A Survey of Literature [Google Scholar]
  7. Explainable Deep Learning: A Literature Survey on Interpretable Neural Network Models [Google Scholar]
  8. XAI for Financial Decision Making: A Review of Methods and Applications [Google Scholar]
  9. Explainable Artificial Intelligence in Autonomous Systems: A Survey [Google Scholar]
  10. Evaluation and Benchmarking of Explainable Artificial Intelligence Methods [Google Scholar]
  11. Ethical Considerations in Explainable AI for Transparent Decision Making [Google Scholar]
  12. Human-AI Collaboration in Transparent Decision Making [Google Scholar]
  13. Interpretable Machine Learning Models for Transparent Decision Making [Google Scholar]
  14. Visualizing Explainable AI: Techniques and Applications" [Google Scholar]
  15. Explainable AI for Transparent Healthcare Decision Making: A Review [Google Scholar]
  16. Legal and Regulatory Perspectives on Explainable AI for Transparent Decision Making [17] Explainable AI for Transparent Financial Decision Making: A Literature Survey [Google Scholar]
  17. Social Acceptance of Explainable AI for Transparent Decision Making [Google Scholar]
  18. Real-World Applications of Explainable AI for Transparent Decision Making [Google Scholar]
  19. Dasari, S., Rama Mohana Reddy, A., & Eswara Reddy, B. (2023). KC two-way clustering algorithms for multi-child semantic maps in image mining. International Journal on Recent and Innovation Trends in Computing and Communication, 11(1), 1–11. Retrieved from www.scopus.com [Google Scholar]
  20. Asim, A., & Cada, M. (2023). Enhancement of physical layer security in flying ad-hoc networks by intelligent reflecting metasurfaces. International Journal of Intelligent Systems and Applications in Engineering, 11(1s), 46–50. Retrieved from www.scopus.com [Google Scholar]
  21. Botha, D., Dimitrov, D., Popović, N., Pereira, P., & López, M. Deep Reinforcement Learning for Autonomous Robot Navigation. Kuwait Journal of Machine Learning, 1(3). Retrieved from http://kuwaitj ournals. co m/index.php/kj ml/article/view/140 [Google Scholar]
  22. Steffy, A. D.. (2021). Dimensionality Reduction Based Diabetes Detection Using Feature Selection and Machine Learning Architectures. Research Journal of Computer Systems and Engineering, 2(2), 45:50. Retrieved from https://technicaljournals.org/RJCSE/index.php/joumal/article/view/32 [Google Scholar]
  23. Pande, S. D., Kanna, R. K., & Qureshi, I. (2022). Natural Language Processing Based on Name Entity With N-Gram Classifier Machine Learning Process Through GEBased Hidden Markov Model. Machine Learning Applications in Engineering Education and Management, 2(1), 30–39. Retrieved from http://yashikajournals.com/index.php/mlaeem/article/view/22 [Google Scholar]

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