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1. Transfer Learning for the Recognition of Immunogold Particles in TEM Imaging

2. EE-Inspired Risks

3. Applications

4. MEE with Discrete Errors

5. MEE with Continuous Errors

6. Continuous Risk Functionals

7. Introduction

8. Transfer Learning Using Rotated Image Data to Improve Deep Neural Network Performance

9. Improving Deep Neural Network Performance by Reusing Features Trained with Transductive Transference

37. Batch-Sequential Algorithm for Neural Networks Trained with Entropic Criteria

49. Model Reference Control Using CMAC Neural Networks

50. Automated Text Categorization Based on Readability Fingerprints

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