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dc.contributor.advisorBianchi, Filippo Maria
dc.contributor.authorMartinsen, Iver
dc.date.accessioned2022-05-19T07:14:46Z
dc.date.available2022-05-19T07:14:46Z
dc.date.issued2021-11-14
dc.description.abstractThis thesis is concerned with classification and regression using deep learning applied to fish otolith images. Otoliths (earstones) are calcified structures in the inner ear of vertebrates, and are used, for instance, in fish stock assessment and fish age determination. We use convolutional neural networks – a class of deep learning models - on two specific problems: discrimination between Northeast Arctic Cod and Norwegian Coastal Cod, and age determination of Greenland halibut. In relation to classification and regression, we are also concerned with the usage of cross-validation procedures such as k*l-fold cross-validation, to obtain reliable test results. We obtain test results for all available data, and we argue for the usage of cross-validation on the bases of variations in test results. Furthermore, feature relevance attribution methods are discussed and compared, which aims at explaining outputs from deep learning models by attributing relevance scores to the input. These comparisons are conducted using image input heatmaps produced by methods such as gradient saliency maps, guided backpropagation, and integrated gradients, along with two proposed variations of those techniques.en_US
dc.identifier.urihttps://hdl.handle.net/10037/25212
dc.language.isoengen_US
dc.publisherUiT Norges arktiske universiteten_US
dc.publisherUiT The Arctic University of Norwayen_US
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2021 The Author(s)
dc.rights.urihttps://creativecommons.org/licenses/by-nc-sa/4.0en_US
dc.rightsAttribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)en_US
dc.subject.courseIDSTA-3900
dc.subjectVDP::Matematikk og Naturvitenskap: 400::Matematikk: 410::Statistikk: 412en_US
dc.subjectVDP::Mathematics and natural science: 400::Mathematics: 410::Statistics: 412en_US
dc.subjectVDP::Matematikk og Naturvitenskap: 400::Matematikk: 410::Analyse: 411en_US
dc.subjectVDP::Mathematics and natural science: 400::Mathematics: 410::Analysis: 411en_US
dc.subjectDeep Learningen_US
dc.subjectRegressionen_US
dc.subjectClassificationen_US
dc.subjectStatistical methodsen_US
dc.titleDeep learning applied to fish otolith imagesen_US
dc.typeMaster thesisen_US
dc.typeMastergradsoppgaveen_US


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Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
Med mindre det står noe annet, er denne innførselens lisens beskrevet som Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)