Blar i Department of Informatics på emneord "Machine learning"
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EDAM-bioimaging: the ontology of bioimage informatics operations, topics, data, and formats (update 2020)
(Others, 2020)EDAM is a well-established ontology of operations, topics, types of data, and data formats that are used in bioinformatics and its neighbouring fields [1,2] . EDAM-bioimaging is an extension of EDAM dedicated to bioimage ... -
Emerging Era of Biomolecular Membrane Simulations: Automated Physically-Justified Force Field Development and Quality-Evaluated Databanks
(Journal article; Peer reviewed, 2022)Molecular simulations of biological membranes and proxies thereof are entering a new era characterized by several key aspects. Progress starts with the realization that the outcome of the simulations can only be as good ... -
Employing Deep Learning for Fish Recognition
(Master thesis, 2018-08-21)Underwater imagery processing is in high demand, but the unrestricted environment makes it difficult to develop methods for analyzing it. Not only is obtaining a dataset for a single species difficult, but there are reported ... -
Exercise-induced Laryngeal Obstruction Diagnostics Using Machine Learning
(Master thesis, 2024-06-03)Exercise-induced laryngeal obstruction (EILO), characterized by laryngeal narrowing during physical exercise, poses a significant challenge, especially for athletes and active youth, impacting performance and quality of ... -
Online learning through Reinforcement learning in a high-fidelity physics simulator
(Master thesis, 2022-11-21) -
SAR and Optical Satellite Imagery Automated Matching using Machine Learning
(Master thesis, 2022-11-21) -
Towards prediction of CML Treatment Outcomes with Machine Learning and CyTOF Data
(Master thesis, 2024-06-03)Predicting responses to therapy for patients with Chronic Myeloid Leukemia (CML) is crucial for optimizing treatment strategies. This study utilizes machine learning models with mass cytometry (CyTOF) data from samples ...