Explainable, Interpretable, and Transparent AI Systems

Explainable, Interpretable, and Transparent AI Systems

Seetha, Hari; Tripathy, B. K.

Taylor & Francis Ltd

08/2024

328

Dura

9781032528564

Pré-lançamento - envio 15 a 20 dias após a sua edição

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1. Unveiling the Power of Explainable AI: Real-World Applications and Implications

2. Looking at exploratory paradigms of explainability in creative computing

3. Applications of XAI in Modern Automotive, Financial and Manufacturing Sectors

4. Explainable AI in Distributed Denial of Service Detection

5. Adaptations of XAI in Smart Agricultural Systems

6. Explainable artificial intelligence for Healthcare applications using Random Forest Classifier with LIME and SHAP

7. Explainable AI and its implications in the business world

8. Fair and Explainable Systems: Informed Decision Making in Machine Learning

9. A Review on Interpretation of Deep Neural Network Predictions on the Various Data through LIME

10. Comprehensive study on Social Trust with XAI Techniques, Evaluation and Future Directions

11. Fuzzy Clustering for Streaming Environment with Explainable Parameter Determination

12. Demystifying the Black Box: Unveiling the Decision-Making Process of AI Systems

13. Explainable Deep Learning Architectures to Study the Customers purchase Behaviour for Product Recommendations

14. Metamorphic Testing for Trustworthy AI

15. Software For Explainable AI

16. Interpretations and Visualization in AI Systems- Methods and Approaches

17. A Study on Transparent Recommendation Systems
Blackbox;Interpretability;Fuzzy Systems;Computer Vision;Machine Learning;Data Sciences