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OPERATOR-VALUED KERNELS - MACHINE LEARNING, AND DYNAMICAL SYSTEMS - Abstract and Key Results
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Forecasting Process Output using Machine Learning Surrogates and Digital Twin
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Developing machine learning facilitated pedestal models - Conference pre-print
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Machine learning surrogate models for particle insertions and element substitutions
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Machine-learning perspectives on Volterra system identification
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Profiling Social Entrepreneurship Orientation Through Machine Learning Predictive Modeling - Research Article
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Sentiment Analysis of Libyan Tweets Using Machine Learning Algorithms - Decision Tree vs SVM vs Naive Bayes
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Parallel and distributed Machine Learning on Augmented Lagrangian Algorithms - Research
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Machine Learning-Based Liver Cancer Classification Using Gene Expression Microarray Data - Conference Paper
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Regression and machine learning approaches identify potential risk factors for glioblastoma multiforme - Research report
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Explainable and Robust Data-Driven Machine Learning Methods for Digital Healthcare Monitoring - Dissertation
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Enhancing Swelling Pressure Prediction Through Integrated Machine Learning Methods
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Development of a Machine Learning Web Application for Real Estate Price Prediction - Bachelor’s Thesis - Autumn 2025
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Anomaly Detection of Memory Leaks Using Machine Learning - Research-Based Thesis
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Machine learning helps predict early onset psychosis with serum protein biomarkers, neuropsychometry, and clinicodemographic data
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