• 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 ...
    • A Novel Evolutionary Solution Approach for Many-objective Reliability-Redundancy Allocation Problem Based on Objective Prioritization and Constraint Optimization 

      Nath, Rahul (Journal article; Peer reviewed, 2024)
      The reliability redundancy allocation problem (RRAP) has been mostly solved either as a single or as a multi-objective optimization problem. However, this problem also has numerous important constraints which play prominent ...
    • Learning from positive and negative examples: New proof for binary alphabets 

      Lingg, Jonas; De Oliveira Oliveira, Mateus; Wolf, Petra Henrike Karola (Journal article; Peer reviewed, 2024)
      One of the most fundamental problems in computational learning theory is the problem of learning a finite automaton A consistent with a finite set P of positive examples and with a finite set N of negative examples. By ...
    • Polyhedra and algorithms for problems bridging notions of connectivity and independence 

      Samer, Phillippe (Doctoral thesis, 2023-12-21)
      I denne avhandlinga interesserer vi oss for å finne delgrafer som svarer til utvalgte modeller for begrepene sammenheng og uavhengighet. I korthet betyr dette stabile (også kalt uavhengige) mengder med gitt kardinalitet, ...
    • Multivariate Analysis of Clustering Problems with Constraints 

      Purohit, Nidhi (Doctoral thesis, 2023-12-14)
    • Cryptology in the Crowd 

      Heum, Hans Waardal (Doctoral thesis, 2023-12-08)
      Uhell skjer: Kanskje mistet du nøkkelen til huset, eller hadde PIN-koden til innbruddsalarmen skrevet på en dårlig plassert post-it lapp. Og kanskje endte de slik opp i hendene på feil person, som nå kan påføre livet ditt ...
    • Topological Regularization of Support Vector Machines 

      Schooltink, Willem Theodorus (Master thesis, 2023-11-21)
      The unique functioning of Support Vector Machines (SVMs) can create undesirable behaviour, however this unique functioning in turn also allow for exploration of novel topological regularization methods. SVMs are a common ...
    • Chatbot Generation for Open Data Accessibility 

      Heldal, Julie Marie Schnell; Hermansen, Kathrine (Master thesis, 2023-11-20)
      Open data, despite its availability, often remains inaccessible to the average person due to complex data formats and technical barriers. This challenge hinders the realization of open data’s transformative potential. ...
    • Algebraic Attacks on the Encryption Scheme HADESMiMC 

      Ellingsen, Tor Kristian (Master thesis, 2023-11-20)
      HADESMiMC is a recent symmetric cryptographic algorithm working with elements in a finite field. It is proposed as a candidate cipher for secure data transfers using Multiparty Computation (MPC). MPC is particularly useful ...
    • Exploration of Linear-Algebra Graph Algorithms on the Graphcore IPU 

      Otten, Yoeri Daniel (Master thesis, 2023-11-20)
      More specialized hardware is being created to improve the efficiency of demanding algorithms. Graphcore introduced their Intelligence processors: a specialized true MIMD architecture which specializes in machine learning ...
    • λ' is Confluent 

      Passeniouk, Yan (Master thesis, 2023-11-20)
      The λ-calculus is a well-known model of computation, characterised by its simplicity and adapted for the implementation of functional programming languages. We present an extension of the λ-calculus proposed by ...
    • Scalable Learning of Bayesian Networks Using Feedback Arc Set-Based Heuristics 

      Gillot, Pierre (Doctoral thesis, 2023-11-10)
      Bayesianske nettverk er en viktig klasse av probabilistiske grafiske modeller. De består av en struktur (en rettet asyklisk graf) som beskriver betingede uavhengighet mellom stokastiske variabler og deres parametere (lokale ...
    • On the Significance of Distance in Machine Learning 

      Kim, Hyeongji (Doctoral thesis, 2023-10-23)
      Avstandsbegrepet er grunnleggende i maskinlæring. Hvordan vi velger å måle avstand har betydning, men det er ofte utfordrende å finne et passende avstandsmål. Metrisk læring kan brukes til å lære funksjoner som implementerer ...
    • Integrating Wearable Technology for Enhanced Self-Assessment in Mental Health 

      Johansen, Petter (Master thesis, 2023-10-16)
      Mental health is a critical aspect of overall well-being and affects a large proportion of the world’s population. The first step of identifying possible issues in an individual is often using assessment method such as ...
    • On self-equivalences of APN functions 

      Jensløkken, Vegard (Master thesis, 2023-10-16)
      In this thesis we investigate the structure of what we call extended linear self-equivalences for vectorial Boolean functions. That is, $(L_1, L_2, L)$ such that $L_1 \circ F \circ L_2 + L = F$ for some vectorial Boolean ...
    • Balancing the Game: Comparative Analysis of Single Heuristics and Adaptive Heuristic Approaches for Sports Scheduling Problem 

      Alesahebfosoul, Seyed Erfan (Master thesis, 2023-10-02)
      Sport timetabling problems are Combinatorial Optimization problems which involve the creation of schedules that determine when and where teams compete against each other. One specific type of sports scheduling, the double ...
    • Gaussian Likelihoods in Bayesian Neural Networks 

      Hønsi, Alvar (Master thesis, 2023-10-02)
      Bayesian neural networks (BNNs) offer a promising probabilistic take on neural networks, allowing uncertainty quantification in both model predictions and parameters. Being a relatively new and evolving field of research, ...
    • A Computational Search for Cubic-Like Bent Functions 

      Snorrason, Jakob (Master thesis, 2023-10-02)
      Boolean functions are a central topic in computer science. A subset of Boolean functions, Bent Boolean functions, provide optimal resistance to various cryptographical attack vectors, making them an interesting subject for ...
    • Simulating Private Information Retrieval on Amazon Web Services 

      Rygnestad, Eirik Bergesen (Master thesis, 2023-09-15)
      As our modern lives have gradually moved more and more online, companies and state actors have taken it upon themselves to gather and analyze our behavior online, and as these actors have gradually shown just how much they ...
    • Computational search for isotopic semifields and planar functions in characteristic 3 

      Bergmann, Markus Aleksander (Master thesis, 2023-09-01)
      In this thesis, we investigate the possibility of finding new planar functions and corresponding semifields in characteristic 3 by the construction of isotopic semifields from the known families and sporadic instances of ...