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Theodore Trafalis

Machine Learning Techniques with Fairness for Prediction of Completion of Drug and Alcohol Rehabilitation

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Apr 23, 2024
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Exploring Machine Learning Models for Federated Learning: A Review of Approaches, Performance, and Limitations

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Nov 17, 2023
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The Paradox of Noise: An Empirical Study of Noise-Infusion Mechanisms to Improve Generalization, Stability, and Privacy in Federated Learning

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Nov 09, 2023
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A Distributed Approach to Meteorological Predictions: Addressing Data Imbalance in Precipitation Prediction Models through Federated Learning and GANs

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Oct 19, 2023
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A Review of Machine Learning Techniques in Imbalanced Data and Future Trends

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Oct 11, 2023
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