• Gradient-Based Optimization in Shape Analysis for Reparametrization of Parametric Curves and Surfaces 

      Riseth, Jørgen Nilsen (Master thesis, 2021)
      I denne oppgaven studerer vi to gradientbaserte optimeringsalgoritmer i formanalyse, for reparametrisering av parametriske kurver og overflater. Den ene algoritmen er en tidligere kjent “gradient descent”-algoritme på ...
    • Gradient-Descent Adaptive Filtering Using Gradient Adaptive Step-Size 

      Talebi, Sayedpouria; Darvishi, Hossein; Werner, Stefan; Salvo Rossi, Pierluigi (Journal article; Peer reviewed, 2022)
      At the heart of most adaptive filtering techniques lies an iterative statistical optimisation process. These techniques typically depend on adaptation gains, which are scalar parameters that must reside within a region ...
    • GRADUATE EMPLOYABILITY SKILLS DEVELOPMENT THROUGH REFLECTION AND SELF-ASSESSMENT USING A MOBILE APP 

      Iqbal, Maria; Fredheim, Lars Jørgen; Olstad, Hege Annette; Abbas, Aisha; Petersen, Sobah Abbas (Chapter, 2022)
      As university students' journey through their studies, their minds are fixed on a common end goal, that of graduating with flying colours and landing their dream job. They aim for achieving the top grades and focus on their ...
    • Grafiske analysemetoder for ikke-geometriske design 

      Niemi, Ranveig (Master thesis, 2008)
      Den grafiske analyseringen av tonivåforsøk har lenge begrenset seg til Lenth's metode, normalplott og halvnormalplott. Disse plotta baserer seg på at de estimerte kontrastene enten representerer aktive effekter eller støy. ...
    • Gramsci vs. Lenin: The First Norwegian Debate on Gramsci 

      Kjelsberg, Ronny (Journal article; Peer reviewed, 2016)
      Norwegian sociologist Rune Slagstad started a couple of political debates on the Norwegian left in 1979. Parts of the debate concerned Antonio Gramsci, and then mostly his relation to Lenin and “Leninism”. Was Gramsci a ...
    • GRANCONF: GRAphical Network CONFiguratione 

      Olstad, Thomas Sørgård; Torgersen, Magnus Omland (Bachelor thesis, 2016-08-25)
      GRANCONF is a framework for mass configuration of network equipment and related systems in a lab environment. The framework is built for complex networking scenarios with equipment from different vendors. The framework has ...
    • Grandis 

      Lysakerud, Fredrik; Kristoffersen, Morten; Reierstad, Ole Jørgen (Bachelor thesis, 2001)
      Hovedprosjektet gikk ut på å lage et helt nytt betillingssystem for Kikki’s pizza da det de har brukt frem til nå er blitt gammeldags og innefektivt. Dette ble gjordt for hånd, med penn og papir. De ønsket seg et ...
    • Granularity as a qualitative concept for GIR 

      Ahlers, Dirk (Chapter, 2015)
      We examine the notion of granularity for qualitative thinking about geospatial data and location references. Granularity can be understood as an abstraction of level of detail or spatial resolution. Pure coordinates, which ...
    • Graph Convolutional Networks for Predicting Cerebral Palsy in Infants 

      Haukeland, Andreas; Aubert, Sindre Aarnes (Master thesis, 2021)
    • Graph diffusion kernel LMS using random Fourier features 

      Gogineni, Vinay Chakravarthi; Elias, Vitor; Martins, Wallace; Werner, Stefan (Chapter, 2021)
      This work introduces kernel adaptive graph filters that operate in the reproducing kernel Hilbert space. We propose a centralized graph kernel least mean squares (GKLMS) approach for identifying the nonlinear graph filters. ...
    • Graph Gaussian Process Classifier with Anchor Graph and Label Propagation 

      Ovanger, Oscar (Master thesis, 2021)
      Gaussiske prosesser er en viktig metode for maskinlæring da den lar oss sette en prioritet p˚a formen til en funksjon, og den arver fine egenskaper fra normalfordelingen. Den har blitt brukt b˚ade som en regresjons- og ...
    • Graph Kernel Recursive Least-Squares Algorithms 

      Gogineni, Vinay Chakravarthi; Naumova, Valeriya; Werner, Stefan; Huang, Yih-Fang (Chapter, 2022)
      This paper presents graph kernel adaptive filters that model nonlinear input-output relationships of streaming graph signals. To this end, we propose centralized and distributed graph kernel recursive least-squares (GKRLS) ...
    • A graph neural approach for group recommendation system based on pairwise preferences 

      Abolghasemi, Roza; Viedma, Enrique Herrera; Engelstad, Paal E.; Djenouri, Youcef; Yazidi, Anis (Peer reviewed; Journal article, 2024)
      Pairwise preference information, which involves users expressing their preferences by comparing items, plays a crucial role in decision-making and has recently found application in recommendation systems. In this study, ...
    • Graph neural network-based virtual network function deployment optimization 

      Kim, Heegon; Park, Suhyun; Lange, Stanislav; Lee, Do-Young; Heo, Dongnyeong; Choi, Heeyoul; Yoo, Jae-Hyoung; Hong, James W. (Peer reviewed; Journal article, 2021)
      Software-defined networking (SDN) and network function virtualization (NFV) help reduce the operating expenditure (OPEX) and capital expenditure (CAPEX) as well as increase the network flexibility and agility. However, ...
    • Graph Representation of DNS-related Data for Detecting Malicious Actions 

      Rismyhr, Eirik (Master thesis, 2020)
      Skadevare er et økende problem innen cybersikkerhet. Forskning viser at en stor andel av skadevaren benytter seg av DNS-protokollen for å utføre ondsinnede handlinger. Da DNS-protokollen først ble utviklet var ikke sikkerhet ...
    • Graph representation of documents content and its suitability for text mining tasks 

      Viaño Iglesias, Adrian (Master thesis, 2011)
      Association rules mining is one of the the most relevant techniques of data mining. It has been also applied in the domain of text mining, but the results are hard to interpret. In this matter, an Association Network is ...
    • Graph theoretical approach to sexual predator detection 

      Matteini Palmerini, Riccardo (Master thesis, 2021)
      Med teknologispredningen er vi i stand til å komme i kontakt med venner langt unna så vel som ukjente personer. Bak skjermer kan personer med onde hensikter skjule identiteten deres og handle i frihet. Overgripere tar ...
    • Graph-based methods for data-driven reservoir modeling 

      Devold, Ingvild Strømsheim (Master thesis, 2023)
      Datadrevne metoder innen reservoarmodellering inkluderer både fullt ut databaserte maskinlæringsmetoder og historietilpasning av tradisjonelle matematiske modeller. I denne oppgaven foreslår vi en type hybride, grafbaserte ...
    • Graph-Based Multi-Modal SLAM for Resilience in Sensor-Degraded Environments 

      Totland, Sigurd Vatn (Master thesis, 2021)
      Pålitelig og nøyaktig samtidig lokalisering og kartlegging (SLAM) er en nødvendig forutsetning for vellykket bruk av autonome systemer, som gjør det mulig for roboter å kartlegge og navigere omgivelsene sine, uten bruk av ...
    • Graph-based Natural Language Processing: Graph edit distance applied to the task of detecting plagiarism 

      Røkenes, Håkon Drolsum (Master thesis, 2012)
      The focus of this thesis is the exploration of graph-based similarity, in the context of natural language processing. The work is motivated by a need for richer representations of text. A graph edit distance algorithm was ...