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Doctoral presentations
Doctoral presentations of current interest, where the thesis is available in Munin:
11 Jun 2024: Henriette Michalsen
11 Jun 2024: Tilman Schmider
Life on Air: On the Physiological Basis of Atmospheric Methane Oxidizing Bacteria
12 Jun 2024: Mithlesh Kumar Ray
Long non-coding RNAs in ulcerative colitis
14 Jun 2024: Srijana Bastakoti Belbase
14 Jun 2024: Katrine Prydz
14 Jun 2024: Nina Planting Mølmann
17 Jun 2024: Nils Bochow
Modelling the Earth System - From Tipping Elements to Reconstructions
18 Jun 2024: Liv-Hege Johnsen
Intracranial artery disease in the general population
18 Jun 2024: Tina Pettersen Engseth
19 Jun 2024: Fredrik Garnås Rylandsholm
Structural characterisation and drug-lipid interaction by NMR spectroscopy
20 Jun 2024: Kay-Martin Johnsen
21 Jun 2024: Tor Håvard Solhaug
26 Jun 2024: Alexandra Kondratieva
Exploring fluorination in MBL inhibitor design
27 Jun 2024: Nina Mjølsnes Salvo
27 Jun 2024: Andreas Kjæreng Winther
Activity Profiles and Training Loads of Highly Trained Female Football Players
28 Jun 2024: Yasemin V. Bodur
Recently Added
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Label Propagation in Machine Learning Systems: Providing End-to-End Traceability with Explainable Artificial Intelligence
(Mastergradsoppgave; Master thesis, 2024-05-15)Artificial Intelligence (AI) and the underlying Machine Learning (ML) technology is experiencing increased applications in various areas. The training of ML models requires significant amounts of data, and data might contain restrictions regarding their permitted usage. High-performant models are often called black-boxes because of their complex decision-making process. Thus, ML applications threaten ... -
Bootstrapping the Integrity of Sensor Data Labels at the Microcontroller Level Using Physically Unclonable Functions: Addressing Physical Vulnerabilities in the IoT Domain
(Mastergradsoppgave; Master thesis, 2024-05-15)Modern decision-making processes across industries today increasingly rely on data-driven insights derived from various sources. As smart devices, sensor tech- nology, and the IoT (Internet of Things) evolve, organizations are progressively leveraging these technologies for data-driven decision-making. However, with the introduction of regulations such as the General Data Protection Regulation (GDPR) ... -
Training and Model Parameters to Defend against Tabular Leakage Attacks
(Mastergradsoppgave; Master thesis, 2024-05-15)Federated Learning (FL) is a privacy-preserving approach to train machine learning models on distributed datasets across different organizations. This is particularly beneficial for domains like healthcare and finance, where user data is often sensitive and tabular (e.g., hospital records and financial transactions). However, recent research like Tableak highlighted vulnerabilities that can exploit ... -
Barne- og ungdomspsykiatri i et lavinntektsland (Nepal). Utfordringer, barrierer og muligheter i pasientbehandling og i samarbeid med distriktene. En kvalitativ studie
(Master thesis; Mastergradsoppgave, 2022-06-15)Denne masteroppgaven tar for seg hvilke erfaringer kliniske psykologer og psykiatere ved det første BUP-senteret i Nepal har hatt med å utvikle barne- og ungdomspsykiatriske tjenester i et av verdens fattigste land. Det ble gjennomført kvalitative, individuelle dybdeintervjuer på engelsk av til sammen åtte informanter: fire psykologer og fire psykiatere fra BUP-poliklinikken på Kanti Children's ... -
Nature Connectedness in Preschool Children
(Master thesis; Mastergradsoppgave, 2024-05-02)This study aimed to assess nature connectedness in preschool children. Spending time in nature is associated with multiple health benefits, in terms of cognitive, social, and emotional well-being. Individuals who are highly connected to nature tend to spend more time in nature. The objectives of this study were threefold: to examine if children in nature preschools differ in their nature connectedness ...