Blar i Bergen Open Research Archive på emneord "machine learning"
Viser treff 1-20 av 21
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A workflow-integrated brain tumor segmentation system based on fastai and MONAI
(Master thesis, 2022-06-01)Artificial intelligence (AI) has achieved great results in medical imaging tasks and has the potential to improve the experiences of clinicians and patients in the future, but on the way toward AI integration in medicine, ... -
Attitudes towards the Covid-19 vaccine on Twitter in Norway
(Master thesis, 2022-06-01)The goal of this thesis is to characterize the distribution of attitudes present on Norwegian Twitter concerning the Covid-19 vaccine by implementing methods for text analysis and social media network analysis. The first ... -
Automatisk detektering av den Arterielle Input Funksjonen i DCE-MRI
(Master thesis, 2023-06-02)Formål: I moderne DCE-MRI bildeanalyse er AIF avgjørende for å få korrekte farmakokinetiske verdier. AIF kan ekstraheres enten halvautomatisk eller manuelt. Uansett metode er det imidlertid dårlig reproduserbarhet og risiko ... -
Creating an Agglomerative Clustering Approach Using GDELT
(Master thesis, 2023-06-01)GDELT is a project with a large scale, continuously updated databank that provides a real-time image of the global news picture by outputting these as files that can be downloaded and used by anyone. However, this data is ... -
Data Mining in Norwegian Level-of-Living Survey Data
(Master thesis, 2020-07-11)This thesis analyses how level-of-living survey data can be explored using data mining techniques and how well the resulting patterns can be visualized to inform non-experts. The project utilized the design science research ... -
DRLMA: An Intelligent Move Acceptance for Combinatorial Optimization Problems based on Deep Reinforcement Learning
(Master thesis, 2023-07-01)Numerous heuristic solution methods have been developed to tackle combinatorial opti- mization problems, often customized for specific problem domains and use-cases where they exhibit remarkable performance. However, their ... -
Equivalent Euclidean Data Complexes
(Master thesis, 2021-06-01)Euclidean data complexes are simplicial complexes that have been constructed from a point cloud in Euclidean space. Two of the most important examples of such complexes are the Čech and Alpha complex. In this thesis, we ... -
Expressing Unknown Instance Relations in Program Synthesis using Neurosymbolic Methods
(Master thesis, 2021-10-04)Program synthesis is the task of automatically constructing a program given a high level specification. An instance of this is Inductive Logic Programming (ILP) were discrete methods are used to construct a logic program ... -
Eye Blinks in French Sign Language Definition of eye blink types and automatic detection of eye blinks using computer vision, rule-based and machine learning-based methods.
(Master thesis, 2022-11-21)This study aims at defining the different types of eye blinks in French Sign Language as well as preparing a potential automatic eye blink types classification in creating a method that allows the detection of blinks in a ... -
Fault detection of a wind turbine generator bearing using interpretable machine learning
(Master thesis, 2023-08-10)A wind turbine is subjected to a number of degradation mechanisms during its operational lifetime. If left unattended, the degradation of components will result in poor performance and potential failure. Hence, to mitigate ... -
Feature Selection for Identification of Transcriptome and Clinical Biomarkers for Relapse in Colon Cancer
(Master thesis, 2021-06-01)This study attempts to find good predictive biomarkers for recurrence in colon cancer between two data sources of both mRNA and miRNA expression from frozen tumor samples. In total four datasets, two data sources and two ... -
HALE, the Hip Arthroplasty Longevity Estimation system
(Master thesis, 2018-12-15)This master thesis presents a Design Science research in which the HALE system for total hip arthroplasty prosthesis longevity estimation has been developed. The HALE system was developed to explore the use of machine ... -
Investigating Biases in Rules Extracted from Language Models
(Master thesis, 2023-08-01)We investigate an approach for extracting occupational gender bias in the form of logical rules from Large Language Models (LLM)s based on Angluin's exact learning model with membership and equivalence queries to an oracle. ... -
Irritable Bowel Syndrome and Neuroimaging-based Biomarkers
(Master thesis, 2020-09-01) -
Machine learning and electronic health records
(Master thesis, 2020-10-02)In this work, we investigate the benefits and complications of using machine learning on EHR data. We survey some recent literature and conduct experiments on real data collected from hospital EHR systems. -
Machine learning methods for preference aggregation
(Master thesis, 2019-11-14)Preference aggregation is the process of combining multiple preferences orders into one global ranking. The top-ranked alternative is called the winner. Many aggregation methods have been considered in the literature. Some ... -
Predicting next day’s production in run-of-river hydropower plants using machine learning
(Master thesis, 2023-06-01)This master thesis focuses on time series forecasting using machine learning to predict hourly production in run-of-river hydropower plants. As electrical energy cannot be easily stored, it must be produced and consumed ... -
Predicting the legal status of recreational marijuana in U.S. states
(Master thesis, 2022-06-22)Following decades of a war on drugs in the United States and the demonization of marijuana, a wave of recreational legalization began in 2012 with Washington state and Colorado. Recreational marijuana legalization is a ... -
Using machine learning algorithms to enhance numerical weather prediction
(Master thesis, 2022-11-21)In this master thesis machine learning algorithms have been used in an effort to enhance numerical weather prediction. The learning algorithms used are random forest to provide a no precipitation/precipitation classification, ... -
Video Recommendations Based on Visual Features Extracted with Deep Learning
(Master thesis, 2021-06-01)When a movie is uploaded to a movie Recommender System (e.g., YouTube), the system can exploit various forms of descriptive features (e.g., tags and genre) in order to generate personalized recommendation for users. However, ...