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Anomalous Diffusion Characterization using Machine Learning Methods - PhD Dissertation
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Investigations Into Using Machine Learning Models to Automate the Sorting of Digitized Texas State Publications
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Improving Energy Conserving Descent for Machine Learning - Theory and Practice
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Supervised machine learning to estimate instabilities in chaotic systems - estimation of local Lyapunov exponents
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Bayesian Renormalization - Bayesian Renormalization
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Modeling and Analytics of Multi-factor Disease Evolutionary Process by Fusing Petri Nets and Machine Learning Methods
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Applying Machine Learning Analysis for Software Quality Test
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Neural Network Entropy (NNetEn) - EEG信号与混沌时间序列的基于熵特征分离及Python计算
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Systematic review finds “Spin” practices and poor reporting standards in studies on machine learning-based prediction models
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Similarity-Based Logic Locking Against Machine Learning Attacks - Preprint
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Machine Learning and the Conundrum of Stroke Risk Prediction - Review
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Salsa Picante - a machine learning attack on LWE with binary secrets
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A machine learning based optimisation method to evaluate the crushing behaviours of square tubes with rectangular-hole-type initiators
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Galaxy pairs in The Three Hundred simulations II - studying bound ones and identifying them via machine learning
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