Blar i Department of Informatics på emneord "machine learning"
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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, ... -
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 ... -
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 ... -
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 ...