• Effective hate-speech detection in Twitter data using recurrent neural networks 

      Pitsilis, Georgios; Ramampiaro, Heri; Langseth, Helge (Journal article; Peer reviewed, 2018)
      This paper addresses the important problem of discerning hateful content in social media. We propose a detection scheme that is an ensemble of Recurrent Neural Network (RNN) classifiers, and it incorporates various features ...
    • Estimation of VIV-parameters based on Response Measurements and Bayesian Machine Learning Algorithms 

      Andersen, Martin Lieberkind; Sævik, Svein; Leira, Bernt Johan; Wu, Jie; Langseth, Helge; Passano, Elizabeth Anne; Lie, Halvor; Yin, Decao (Chapter, 2022)
      Analysis of structural response levels due to hydro-elastic vortex-induced vibrations (VIV) involves the specification of several parameters both associated with the fluid flow and the structural properties. To the maximum ...
    • Expanding Our Knowledge of Maritime Trade with AIS and Explainable AI Systems 

      Hanssen, Jørgen (Master thesis, 2023)
      Nyere utvikling innen kunstig intelligens og maskinlæringsmodeller har ledet til fremragende prestasjoner, og har vist beslutningsevner som konkurrerer med, og i noen tilfeller overgår, etablert menneskelig kunnskap. Disse ...
    • Explainable AI (XAI) for grid loss forecasting 

      Høijord, Espen Hansen (Master thesis, 2022)
      Å predikere fremtidige verdier av tidsseriedata er en viktig del av driften til mange bedrifter og virksomheter innen mange ulike sektorer. Når forholdene er stabile, kan man fokusere på å optimalisere prediksjonsmodellene ...
    • Explanation Methods in Clinical Decision Support: A Hybrid System Approach 

      Pedersen, Kim Ohme (Master thesis, 2010)
      The use of computer-based decision support systems within the field of health science has over the last decades been extensively researched and tested, both in controlled environments and in clinical practice. Despite the ...
    • Face Recognition 

      Haugen, Liv Merete; Olavsbråten, Inge (Master thesis, 2007)
      Machine based face recognition has been a popular research area for several years, and has numerous applications. This technology has now reached a point where there already exists good algorithms for recognition for ...
    • Factorization models with relational and contextual information 

      da Silva, Eliezer de Souza (Doctoral theses at NTNU;NTNU, 2021:286, Doctoral thesis, 2021)
      The increasing availability of interconnected multi-modal information sources motivates the development of novel probabilistic models for recommender system that can leverage context present in relational data. Thus, we ...
    • Flocking for Road Traffic Efficiency Improvement - A Concept Study 

      Johansen, Sindre Ilebekk; Løvland, Andreas Sløgedal (Master thesis, 2015)
      This thesis presents a concept study into the viability of flocking as a future road traffic management system for automatic vehicles. The idea is to remove the road lanes and let the vehicles themselves decide on the most ...
    • Forecasting Intra-Hour Imbalances in Electric Power Systems 

      Saleh Salem, Tárik; Kathuria, Karan; Ramampiaro, Heri; Langseth, Helge (Journal article; Peer reviewed, 2019)
      Keeping the electricity production in balance with the actual demand is becoming a difficult and expensive task in spite of an involvement of experienced human operators. This is due to the increasing complexity of the ...
    • Generative Adversarial Networks for Flexible Variational Posteriors in Bayesian Neural Networks 

      Killingberg, Ludvig (Master thesis, 2021)
      Bayesianske nevrale nettverk generaliserer nevrale netverk ved å tillate stokastiske variabler som parametre. Nevrale nettverk holder seg typisk til å maksimere sannsynlighetesestimatorer for å finne optimale vekter. Vi ...
    • Generative AI through Latent Modeling: The Theoretical Foundations of Diffusion Models 

      Dalheim, William (Master thesis, 2023)
      I løpet av de siste årene har diffusjonsmodeller (DMer) gjennomgått en rekke forbedringer, som har ført til bedre resultater enn andre anerkjente dype generative modeller innen bildesyntese. Modellene har også demonstrert ...
    • Human Activity Recognition With Two Body-Worn Accelerometer Sensors 

      Hessen, Hans-Olav; Tessem, Astrid Johnsen (Master thesis, 2016)
      Data used in studies about physical activity is primarily collected from questionnaires and other subjective methods, which may lead to biased and inaccurate data. As subjective data collection methods have shown to be ...
    • Hydropower optimization using model-based Reinforcement Learning 

      Ågotnes, Henrik (Master thesis, 2023)
      En av de mest effektive måtene å lagre energi på er ved å planlegge produksjonen av vannkraft slik at kraft produseres når det er mest gunstig og at vannet i andre perioder reserveres. I det nordiske kraftmarkedet prøver ...
    • Integrating Case-based and Bayesian Reasoning for Decision Support 

      Gravem, Anne-Marit (Master thesis, 2010)
      In this thesis, we present an approach to integration of case-based reasoning and Bayesian reasoning for decision support. Our design is meant to provide physicians with decision support in the context of palliative care ...
    • Intelligent agents in computer games 

      Grastveit, Stein Gunnar (Master thesis, 2008)
      Modify an exiting agent architecture with more learning abilities. The agent should be able to learn its environment, and improve its performance.
    • Intelligent agents in computer games 

      Løland, Karl Syvert (Master thesis, 2008)
      In this project we examine whether or not a intelligent agent can learn how to play a computer game using the same inputs and outputs as a human. An agent architecture is chosen, implemented, and tested on a standard first ...
    • Investigating Zero-Shot Learning techniques in multi-label scenarios 

      Sve, Thomas; Remmen, Bjørnar Moe (Master thesis, 2017)
      Visual recognition systems are often limited to the object categories previously trained on and thus suffer in their ability to scale. This is in part due to the difficulty of acquiring sufficient labeled images as the ...
    • Jantu: A Cognitive Agent Playing StarCraft: Brood War 

      Sandsmark, Martin Tobias Holmedahl; Viktil, Ken Børge Melhus (Master thesis, 2012)
      It has been shown that most players enjoys playing video games against other human players instead of computer controlled opponents. But most research on artificial intelligence in gaming today focus on just winning in the ...
    • Klassifisering av Hypopné og Obstruktiv Søvnapné med Somnofy 

      Bjørgan, Mads T.; Ulvøen, Thomas (Master thesis, 2019)
      Somnofy, en Doppler-basert radar utviklet av VitalThings, undersøkes som metode for å gjenkjenne søvnapné og hypopné. Søvnrelaterte sykdommer diagnotiseres gjerne med polysomnografi, som er både kostbart i form av tid og ...
    • Klassifisering av Hypopné og Obstruktiv Søvnapné med Somnofy 

      Bjørgan, Mads T.; Ulvøen, Thomas (Master thesis, 2019)
      Somnofy, en Doppler-basert radar utviklet av VitalThings, undersøkes som metode for å gjenkjenne søvnapné og hypopné. Søvnrelaterte sykdommer diagnotiseres gjerne med polysomnografi, som er både kostbart i form av tid og ...