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(Un)Trustworthy Data in Adversarial Machine Learning - Dissertation
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Machine Learning for Econometrics - Theoretical Foundations and Empirical Insights - Dissertation
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Machine Learning Methods in Biomedical Data for Precision Medicine - Thesis/dissertation
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Towards Robust and Generalizable Machine Learning Models - Thesis
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Radiometer calibration using machine learning
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Potential and limitations of random Fourier features for dequantizing quantum machine learning
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Machine Learning and Cross-Sectional Returns - An Empirical Analysis of Machine Learning for Return Prediction in the Norwegian Equities Market
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Single-shot quantum machine learning - Erik Recio-Armengol
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Machine Learning Approaches to Code Similarity Measurement - A Systematic Review
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Machine Learning Assisted Design of mmWave Radio Frequency Circuits - Thesis
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Preservation of Feature Stability in Machine Learning under Data Uncertainty for Decision Support in Critical Domains
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Predicting of Academic Achievement of Student Using Machine Learning Model - Research Report
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Inherent structural descriptors via machine learning
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Overcoming Machine Learning Training Data Imbalance by Simulating Exoplanet Transits
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