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Machine learning-based estimation of crude oil-nitrogen interfacial tension
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Scaling Across Multiple Dimensions to Accelerate Subgrid Machine Learning Parameterization Development - Dissertation
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Applying Machine Learning to Enhance Esport Broadcast Narratives
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Identifying Predictive Biomarkers of Response in Patients With Rheumatoid Arthritis Treated With Adalimumab
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The Association of Periodontal Inflammation and Systemic Health Indicators - A Machine Learning Approach
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Continuous Management of Machine Learning-Based Application Behavior - Paper abstract and approach summary
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Identifying predictors of formal help-seeking for premenstrual symptoms: A machine learning analysis of symptom, functional impairment and barriers data
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A Big Data Infrastructure in Support of Healthy and Independent Living - A Real Case Application
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Classification of Patients with Parotid Cancer Using Dynamic Contrast and Diffusion Examinations with Radiomics and Machine Learning Techniques - Doctoral Thesis
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AccelerQ - Accelerating Quantum Eigensolvers With Machine Learning on Quantum Simulators
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Modeling the Importance of Life Exposure Factors on Memory Performance in Diverse Older Adults - A Machine Learning Approach
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A Comparative Analysis of Machine Learning Models in Prognostics and Prediction of Remaining Useful Life of Aircraft Turbofan Engines - Master’s thesis
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Contributions on dimensionality reduction and interpretable machine learning - PhD thesis
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Identifying Malicious Python Packages - Using Static Indicators and Machine Learning
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