Blar i Bergen Open Research Archive på tittel
Viser treff 18604-18623 av 34167
-
Løsningsrettslovens anvendelsesområde og konsekvensene av regelen om bortfall i § 6
(Master thesis, 2022-12-12) -
Løsøreerververs kreditorvern i tilfeller av "sale- and leaseback". Hvordan oppnår løsøreerverver vern mot etterfølgende kreditorbeslag, og i hvilken grad ivaretas hensynet til notoritet?
(Master thesis, 2022-05-10)Masteroppgavens overordnede tema er løsøreerververs kreditorvern i tilfeller av «sale- and leaseback». Det har i lang tid vært uklart om det oppstilles et krav om at avhenderen må fratas besittelsen over løsøregjenstanden, ... -
Løsøreerververs kreditorvern ved kjøp av ikke-registrerbart løsøre
(Master thesis, 2022-05-10) -
Løsørekjøperens rettsvern overfor selgers konkursbo - Avtaleprinsipp eller overleveringskrav?
(Master thesis, 2012-12-10) -
Løsørekjøpers rettsvern overfor selgers kreditorer- Er avtalen tilstrekkelig til separatistrett?
(Master thesis, 2016-06-01) -
L’enseignement de la grammaire française en Norvège. Une étude qualitative chez quatre enseignants.
(Master thesis, 2018-06-12) -
L’influence des changements grammaticaux sur le sens du texte traduit : une étude comparative de L’Étranger par Albert Camus et de The Stranger par Stuart Gilbert
(Master thesis, 2021-06-02)This study aims to compare the grammatical uses in Albert Camus’ L’Étranger (1942) with its first appeared English translation The Stranger by Stuart Gilbert (1946), in an attempt to identify to which extent grammatical ... -
Machine learning and artificial neural networks for seismic processing
(Doctoral thesis, 2023-05-05)Nylig har tilgjengeligheten av kraftige GPUer og "open source"-programvare gjort det mulig for kunstige nevrale nettverk å løse flere praktiske og industrielle problemer. Vi kan bruke nevrale nettverk til viktige seismiske ... -
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 applications in proteomics research: How the past can boost the future
(Peer reviewed; Journal article, 2014)Machine learning is a subdiscipline within artificial intelligence that focuses on algorithms that allow computers to learn solving a (complex) problem from existing data. This ability can be used to generate a solution ... -
Machine Learning Approaches for Biomarker Discovery Using Gene Expression Data
(Chapter, 2021)Biomarkers are of great importance in many fields, such as cancer research, toxicology, diagnosis and treatment of diseases, and to better understand biological response mechanisms to internal or external intervention. ... -
Machine learning approaches for high-dimensional genome-wide association studies
(Doctoral thesis, 2022-08-24)Formålet med Genome-wide association studies (GWAS) er å finne statistiske sammenhenger mellom genetiske varianter og egenskaper av interesser. De genetiske variantene som forklarer mye av variasjonene i genomfattende ... -
Machine Learning Approaches in Imaging Genetics
(Master thesis, 2021-06-01)Established approaches in imaging genetics and genome wide association studies (GWAS) such as univariate, multivariate and voxel-wise approaches, are prone to certain disadvantages such as being computationally expensive, ... -
Machine learning ATR-FTIR spectroscopy data for the screening of collagen for ZooMS analysis and mtDNA in archaeological bone
(Journal article; Peer reviewed, 2021)Faunal remains from archaeological sites allow for the identification of animal species that enables the better understanding of the relationships between humans and animals, not only from their morphological information, ... -
Machine Learning based Detection and Identification of Trees using High Resolution Satellite Images
(Master thesis, 2021-06-01) -
Machine learning based on biomarker profiles identifies distinct subgroups of heart failure with preserved ejection fraction
(Journal article; Peer reviewed, 2021)Aims The lack of effective therapies for patients with heart failure with preserved ejection fraction (HFpEF) is often ascribed to the heterogeneity of patients with HFpEF. We aimed to identify distinct pathophysiologic ... -
Machine Learning in Automated Segmentation of Small Lesions in Magnetic Resonance Imaging for Multiple Sclerosis
(Master thesis, 2023-06-02) -
Machine learning in marine ecology: an overview of techniques and applications
(Journal article; Peer reviewed, 2023)Machine learning covers a large set of algorithms that can be trained to identify patterns in data. Thanks to the increase in the amount of data and computing power available, it has become pervasive across scientific ... -
Machine Learning methods for mood disorder decision support
(Master thesis, 2017-07-11) -
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 ...