Browsing Department of Informatics by Subject "Machine learning"
Now showing items 1-5 of 5
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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 ... -
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)