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Navigating the Ethical and Privacy Concerns of Big Data and Machine Learning in Decision Making
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Advancing Automated Machine Learning: Neural Architectures and Optimization Algorithms
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AUTOMATED MACHINE LEARNING WITH CONSTRAINTS AND IMPERFECT DATA - Doctoral Dissertation
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Machine learning using Stata/Python - Hyperparameter tuning via K-fold cross-validation
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Machine Learning Force Fields for Molecular Chemistry - Doctoral Dissertation - January 2024
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Machine learning-assisted anomaly detection for power line components - A case study in Pakistan
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A Machine Learning based approach to predict road rutting considering uncertainty
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pystacked - Stacking generalization and machine learning in Stata
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Applications of Machine Learning for Atomistic Modeling in Catalysis Informatics - Dissertation
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