• Deanonymizing communications on The Onion Router (TOR) network with Deep Learning 

      Barstad, Halvard (Master thesis, 2021-06-01)
      Staying anonymous on the Internet is becoming increasingly difficult. Advertisements for services that to some extent offer privacy are frequent, and the general population seems to be more aware of privacy than previously. ...
    • Deciding EA-equivalence via invariants 

      Kaleyski, Nikolay Stoyanov (Journal article; Peer reviewed, 2022)
      We define a family of efficiently computable invariants for (n,m)-functions under EA-equivalence, and observe that, unlike the known invariants such as the differential spectrum, algebraic degree, and extended Walsh spectrum, ...
    • Decision support framework for choosing treatment 

      Dyrstad, André (Master thesis, 2019-06-29)
      With the release of ”Fritt behandlingsvalg” in 2015, Norwegian patients got the right to select where they want to attend special treatment. As of now, there is no easy way to compare treatment centers, as the information ...
    • Declaratively Programming the Dynamic Structure of Graphical User Interfaces 

      Stokke, Knut Anders (Master thesis, 2020-06-20)
      Structures are everywhere around us - from chemical formulas to biological systems or musical works. In this thesis, we focus on composite structures that appear in graphical user interfaces (GUI), such as lists, tables, ...
    • Decloud: an unsupervised deconvolution tool for building gene expression profiles 

      Kjørsvik, Øystein (Master thesis, 2018-05-29)
      Deconvolution is the process of decomposing a mixed signal into its originating elements. For my thesis I created a clustering application, named DeCloud, with the intent to replace the unsupervised clustering step in the ...
    • Decoding and constructions of codes in rank and Hamming metric 

      Kadir, Wrya Karim (Doctoral thesis, 2022-05-27)
      As coding theory plays an important role in data transmission, decoding algorithms for new families of error correction codes are of great interest. This dissertation is dedicated to the decoding algorithms for new families ...
    • Decomposing Linear Layers 

      Beierle, Christof; Felke, Patrick; Leander, Gregor; Rønjom, Sondre (Journal article; Peer reviewed, 2022)
      There are many recent results on reverse-engineering (potentially hidden) structure in cryptographic S-boxes. The problem of recovering structure in the other main building block of symmetric cryptographic primitives, ...
    • Decomposition of map graphs with applications 

      Fomin, Fedor; Lokshtanov, Daniel; Panolan, Fahad; Saurabh, Saket; Zehavi, Meirav (Peer reviewed; Journal article, 2019)
    • Deep conservation of ribosome stall sites across RNA processing genes 

      Chyzynska, Katarzyna; Labun, Kornel; Jones, Carl Matthew; Grellscheid, Sushma Nagaraja; Valen, Eivind Dale (Journal article; Peer reviewed, 2021)
      The rate of translation can vary depending on the mRNA template. During the elongation phase the ribosome can transiently pause or permanently stall. A pause can provide the nascent protein with the time to fold or be ...
    • Deep Learning and Deep Reinforcement Learning for Graph Based Applications 

      Hasibi, Ramin (Doctoral thesis, 2024-01-26)
      Dyp læring har gitt state-of-the-art ytelse i mange applikasjoner som datasyn, tekstanalyse, biologi, osv. Suksessen med dyp læring har også hjulpet fremveksten av dyp forsterkende læring for optimal beslutningstaking og ...
    • Deep Learning Approach To Gene Network Inference 

      Johannessen, Daniel Hammerstad (Master thesis, 2023-06-01)
      Gene regulatory network(GRN) inference remains a challenging problem in the field of bioinformatics. GRN contain valuable information needed to get a deeper understanding of the regulatory network. This could lead to ...
    • Deep Learning Methods for Automated Classification of Fish Behavior 

      Madslien, Mathias Larsson (Master thesis, 2022-06-01)
    • A deep learning-based method to identify and count pelagic and mesopelagic fishes from trawl camera images 

      Allken, Vaneeda; Rosen, Shale Pettit; Handegard, Nils Olav; Malde, Ketil (Journal article; Peer reviewed, 2021)
      Fish counts and species information can be obtained from images taken within trawls, which enables trawl surveys to operate without extracting fish from their habitat, yields distribution data at fine scale for better ...
    • Deep Reinforcement Learning for Computation Offloading in Mobile Edge Computing 

      Omland, Sondre Eide (Master thesis, 2022-06-01)
      As 5G-networks are deployed worldwide, mobile edge computing (MEC) has been developed to help alleviate resource-intensive computations from an application. Here, IoT devices can offload their computation to an MEC server ...
    • Deep transfer learning in medical imaging 

      Kaliyugarasan, Sathiesh Kumar (Master thesis, 2019-06-29)
    • DeepOtolith v1.0: An Open-Source AI Platform for Automating Fish Age Reading from Otolith or Scale Images 

      Politikos, Dimitris V.; Sykiniotis, Nikolaos; Petasis, Georgios; Dedousis, Pavlos; Ordonez, Alba; Vabø, Rune; Anastasopoulou, Aikaterini; Moen, Endre; Mytilineou, Chryssi; Salberg, Arnt-Børre; Chatzispyrou, Archontia; Malde, Ketil (Journal article; Peer reviewed, 2022-05-29)
      Every year, marine scientists around the world read thousands of otolith or scale images to determine the age structure of commercial fish stocks. This knowledge is important for fisheries and conservation management. ...
    • Demonstrating public value to funders and other stakeholders—the journey of ELIXIR, a virtual and distributed research infrastructure for life science data 

      Martin, Corinne S.; Repo, Susanna; Márquez, Juan Arenas; Blomberg, Niklas; Lauer, Katharina B.; Sitjà, Xènia Pérez; Velek, Premysl; Melo, Ana M. P.; Stansberg, Christine; de Leo, Francesca; Griniece, Elina; Rothe, Hannes; Petryszak, Robert; Smith, Andrew (Journal article; Peer reviewed, 2021)
      Open Science is a founding principle of ELIXIR, a pan-European research infrastructure for life science data, with 21 Member countries plus the European Molecular Biology Laboratory. The mission of ELIXIR is to coordinate ...
    • Dependencies: No Software is an Island 

      Tellnes, Jørgen (Master thesis, 2013-10-15)
      In the past years, package managers, application frameworks and open-source libraries have made it vastly simpler and faster to get functioning software up and running, while cloud providers and external service providers ...
    • Design and Development of Game-based Oculomotor Training using Eye Tracking 

      Pettersen, Håvard Homme (Master thesis, 2018-08-21)
      Many people have oculomotor issues. This means that they have a problem with how their eyes behave, or more importantly how they behave together. These issues are present both in children and adults and could lead to the ...
    • Design and Implementation of Alignment software for a Digital Tracking Calorimeter used for proton CT 

      Almåsbakk, Rune (Master thesis, 2022-06-01)
      Computed Tomography, also called CT, is a diagnostic method used to create images of a patient’s body. These images can be used to identify or discover illness in the imaged patient. Tomography is nothing new and has been ...