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Machine Learning for Psychophysical Scaling with Ordinal Comparisons - Dissertation
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Understanding and Enhancing the Efficiency and Efficacy of Machine Learning–Assisted Software Vulnerability Detection
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A Machine learning-based Framework to Support Monoliths to Microservices Migration - From Identification to Packaging and Deployment
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Predicting Adverse Outcomes in At-Risk Populations with Machine Learning Methods - PhD thesis summary
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Interpretability and Privacy for Trustworthy Machine Learning - Bridging Theoretical and User-Centric Perspectives - Dissertation
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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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