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Continual Learning: Applications and the Road Forward
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Effects of Lossy Compression Data on Machine Learning Models - Dissertation
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Evaluation and Comparison of Machine Learning Algorithms for Effective Image Classification with Fault-Tolerance - 2024
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Benchmarking Machine Learning Models at the Edge - M.Sc. Thesis
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A Machine Learning and Bayesian Belief Network Approach to Predicting Cervical Cancer Risk - Implications for Risk Management
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Invariance Testing For Machine Learning Models - Thesis Abstract and Contents
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Automated characterization of spatial and dynamical heterogeneity in supercooled liquids via machine learning implementation
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A Survey of Wearable Sensors and Machine Learning Algorithms for Automated Stroke Rehabilitation
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Probabilistic Numerics - Bayesian Quadrature and Human-AI Collaboration - Thesis
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Machine Learning Agents Leveraging Digital Twins for Failure Prediction in Optical Networks - (2025) - IEEE ICMLCN Paper
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Toward Efficient Machine Learning Systems with Sampling and Compression
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