Essays about: "question classification"
Showing result 1 - 5 of 150 essays containing the words question classification.
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1. AI-based image generation: The impact of fine-tuning on fake image detection
University essay from Stockholms universitet/Institutionen för data- och systemvetenskapAbstract : Machine learning-based image generation models such as Stable Diffusion are now capable of generating synthetic images that are difficult to distinguish from real images, which gives rise to a number of legal and ethical concerns. As a potential measure of mitigation, it is possible to train neural networks to detect the digital artifacts present in the images synthesized by many generative models. READ MORE
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2. Exploring the prospect that voluntary human shields can take a direct part in hostilities
University essay from FörsvarshögskolanAbstract : This doctrinal thesis centers around the topic of voluntary human shields as a complex phenomenon requiring further scholarly attention. Specifically, this paper acknowledges that the actions of certain voluntary shields renders their classification as civilians strenuous, in which it is explored if the notion of Direct Participation in Hostilities might apply. READ MORE
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3. Uncertainty Quantification in Deep Learning for Breast Cancer Classification in Point-of-Care Ultrasound Imaging
University essay from Lunds universitet/Matematik LTHAbstract : Breast cancer is the most common type of cancer worldwide with an estimate of 2.3 million new cases in 2020, and the number one cause of cancer-related deaths in women. READ MORE
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4. The Impact of Deep Neural Network Pruning on the Hyperparameter Performance Space: An Empirical Study
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : With the continued growth of deep learning models in terms of size and computational requirements, the need for efficient models for deployment on resource-constrained devices becomes crucial. Structured pruning has emerged as a proven method to speed up models and reduce computational requirements. READ MORE
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5. Categorization of Historical Photographs using Convolutional Neural Networks
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : The goal of this project is to explore the possibilities of using Convolutional Neural Networks (CNN) on historical photographs taken in Sweden to determine a feasible way of automatically detecting the studio that the photograph was taken in. Photographs supplied by The City Faces Project were used for this purpose. READ MORE
