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11. Introduction

12. CateReR: A Graph Neural Network-Based Model for Category-Wise Reliability-Aware Recommendation

16. Sentiment Analysis

17. Image Processing

18. Fault Diagnosis

19. Time Series Forecasting

20. Fuzzy Spiking Neural P Systems

21. Introduction

22. Computational Completeness

24. Explainable AI in Disease Diagnosis

26. Introduction to Explainable AI

30. Explainable AI Methods and Applications

31. Explainable AI for Big Data Control

33. Unveil the Black-Box Model for Healthcare Explainable AI

34. Explainable AI Case Studies in Healthcare

35. Explainable AI for Colorectal Cancer Classification

37. Self-adaptive CMSA

40. Adding Learning to CMSA

41. Introduction to CMSA

44. Introduction

49. Applications

50. Quantization of Neural Networks

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