Essays about: "Binary classification model"
Showing result 1 - 5 of 109 essays containing the words Binary classification model.
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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 Applications of Machine Learning in the Public Sector
University essay from Lunds universitet/Fysiska institutionen; Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisationAbstract : Despite the many use cases for machine learning, it sees minimal usage in Sweden’s public sector today. It is important that the public sector in particular utilizes the most efficient tools available. READ MORE
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3. Predicting Nordic Takeover Targets: A Binary Logit Analysis
University essay from Handelshögskolan i Stockholm/Institutionen för redovisning och finansieringAbstract : This thesis aims to investigate if certain firm characteristics increase the likelihood of a company being acquired and if these factors can successfully predict which firms become subjects to takeovers in the Nordic setting. We compare data on a sample of Nordic targets and non-targets between the years 2012 and 2021, and test hypotheses regarding firm and industry characteristics, as well as market sentiments through binary logit models. READ MORE
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4. Aggregating predictions of a yeast semantic segmentation model : Reducing a pixel classifier into a binary image classifier
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The introduction of machine learning in clinical microbiology is important for aiding clinical laboratories with highly repetitive tasks that are fatiguing, error-prone, and require long employee training time due to the complex nature of the task. A challenging task that belongs to the subareas that need assistance is yeast detection in fluorescence microscopy where various yeast morphologies exist. READ MORE
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5. Prediction of the gain in classification performance from combining multiple imaging modalities
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : In this work, we investigate the relationship between different image modalities and classification performance, aiming to predict the potential gain in classification accuracy when combining multiple modalities. We analyze mathematical and statistical measures and develop novel reconstruction measures (RMSE and RSSIM) to assess information distribution between different image modalities. READ MORE
