Blar i Faculty of Mathematics and Natural Sciences på emneord "machine learning"
Viser treff 1-12 av 12
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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, ... -
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 ... -
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 ... -
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 ... -
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. ... -
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 ... -
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, ...