Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 6 of 6 for “"Human-in-the-loop Machine Learning"”.
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Accelerating human-in-the-loop machine learning
Machine learning workflow development is a process of trial-and-error: developers iterate on workflows by testing out small modifications until the desired accuracy is achieved. Unfortunately, existing machine learning systems focus narrowly on model training—a small fraction of the overall …
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Towards understanding and simplifying human-in-the-loop machine learning
"Machine learning application developers and data scientists spend inordinate amount of time iterating on machine learning (ML) workflows, by modifying the data pre-processing, model training, and post-processing steps, via trial-and-error to achieve the desired model performance. As a result, …
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Reducing the Burden of Aerial Image Labelling Through Human-in-the-Loop Machine Learning Methods
This dissertation presents an introduction to human-in-the-loop deep learning methods for remote sensing applications. It is motivated by the need to decrease the time spent by volunteers on semantic segmentation of remote sensing imagery. We look at two human-in-the-loop approaches of speeding up …
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Interactive and interpretable machine learning models for human machine collaboration
… that enables successful collaborations between humans and machine learning models by harnessing the relative strength to accomplish what neither can do alone. Machine learning techniques and humans have skills that complement each other - machine learning techniques are good at computation on …
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A Machine Learning Framework for Securing Patient Records
This research concerns the detection of abnormal data usage and unauthorised access in large-scale critical networks, specifically healthcare infrastructures. The focus of this research is safeguarding Electronic Patient Record (EPR)systems in particular. Privacy is a primary concern amongst …
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Human-AI Sensemaking with Semantic Interaction and Deep Learning
Human-AI interaction can improve overall performance, exceeding the performance that either humans or AI could achieve separately, thus producing a whole greater than the sum of the parts. Visual analytics enables collaboration between humans and AI through interactive visual interfaces. Semantic …