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1. Generation and Evaluation of Design Using Deep Neural Networks

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2. APPLYING DEEP LEARNING TECHNIQUES TO GENERATE MEDICAL IMAGES

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3. Aggregated Wasserstein distance for hidden Markov models and automated morphological characterization of placenta from photos

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4. Data Augmentation Strategies For Cervical Histopathology Image Classification

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6. Interpretable Artificial Intelligence Models to Detect Chronic and Infectious Diseases

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7. Reducing Model Complexity and Overcoming Overfitting: Deep Learning Algorithms and Medical Applications

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8. Reinforcement learning for well location optimization

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9. Architecture-Centric Bottleneck Analysis for Machine Learning and Deep Learning Applications

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10. Extracting information in text and time series datasets

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