Global ETD Search
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Showing 1 to 6 of 6 for “"Reliable Deep Learning"”.
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Conformal Methods for Efficient and Reliable Deep Learning
Deep learning has seen exciting progress over the last decade. As large foundation models continue to evolve and be deployed into real-life applications, an important question to ask is how we can make these expensive, inscrutable models more efficient and reliable. In this thesis, we present a …
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Secure and reliable deep learning in signal processing
… about the given problems. On the contrary, deep learning-based signal processing algorithms can discover features and patterns that would not be apparent to humans by feeding a sufficient amount of training data. In the past decade, deep learning has proved to be efficient and effective at …
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Towards a Reliable Deep Learning Framework for Prostate Cancer Diagnosis using Ultrasound
Reliable prostate cancer (PCa) detection using ultrasound is crucial for improving patient outcomes. Developing deep learning (DL) models for PCa detection is hindered by noisy labels and cancer heterogeneity. The purpose of this work is to develop a clinically applicable framework for DL-based …
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Deep learning for the internet of things
… in a human-like fashion. Recent advances in deep learning revolutionized related fields, such as vision and speech recognition, but the existing techniques remain far from efficient for resource-constrained embedded systems. This dissertation pioneers a broad research agenda on Deep Learning …
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Reliable and decentralised deep learning for physiological data
… functions and processes. By employing machine learning to model these data, especially with the advancement of mobile sensing technologies, it becomes feasible to automatically and continually monitor and diagnose one's health status. This holds considerable promise for easing the burden on …
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Sampling, non-linearities and scales: rethinking convolutional neural networks from a signal processing perspective
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-02-04 without embargo terms