• Computing in Unstructured Matter 

      Lykkebø, Odd Rune S. (Doctoral theses at NTNU;2017:90, Doctoral thesis, 2017)
    • Data driven case base construction for prediction of success of marine operations 

      Mathisen, Bjørn Magnus; Aamodt, Agnar; Langseth, Helge (Journal article; Peer reviewed, 2017)
      It is a common situation to have lots of recorded data that you want to use for improving a process in your organization or make use of this data to provide new services or products. Starting with one primary data set we ...
    • Data Driven Protein Structure Prediction: Development of a SAXS ab initio modeling in a probabilistic inference framework 

      Andreetta, Christian (Master thesis, 2008)
      Protein structure prediction is one of the most interesting and researched targets in computational biology. The problem in itself is easily posed: to model the three-dimensional structure of a protein, given its genetic ...
    • Data mining methods for the analysis of power systems of vessels 

      Swider, Anna (Doctoral theses at NTNU;2018:412, Doctoral thesis, 2018)
      Measurements from on-board monitoring systems of vessels are now increasingly available for data analysis, and their relevance is growing as the ship industry enters the digitilization phase. The analysis of data from ...
    • Decision Support for Predictive Maintenance of Exposed Aquaculture Structures 

      Pedersen, Niklas Bae; Roppestad, Fredrik Lindahl (Master thesis, 2016)
      It is a global challenge to produce enough healthy food to a growing world population. By moving industrial fish farming to exposed lo- cations, the farmers can possibly satisfy the dietary requirements of the future by ...
    • Decision support in patient-centered health care 

      Prestmo, Tale (Master thesis, 2017)
      This thesis aims to create exercise plans for patients with low back pain and is a part of the research project selfBACK. Case-based reasoning is used to create the exercise plans, which is the process of solving new ...
    • Decoupling deep learning and reinforcement learning for stable and efficient deep policy gradient algorithms 

      Clemente, Alfredo Vicente (Master thesis, 2017)
      This thesis explores the exciting new field of deep reinforcement learning (Deep RL). This field combines well known reinforcement learning algorithms with newly developed deep learning algorithms. With Deep RL it is ...
    • Design of a Bayesian Recommender System for Tourists Presenting a Solution to the Cold-Start User Problem 

      Lillegraven, Terje Nesbakken; Wolden, Arnt Christian (Master thesis, 2010)
      Recommender systems aim to provide users with personalised recommendations of items based on their preferences. Such systems have during the last 15 years been applied in many domains and have enjoyed an increased popularity ...
    • Design of a Hybrid Recommender System: A Study of the Cold-Start User Problem 

      Lund, Sigurd Støen; Tandberg, Øystein (Master thesis, 2015)
      Recommender systems are used to help users discover the items they might be interested in, especially when the number of alternatives is big. In modern streaming websites for music, movies, and TV-shows, E-commerce, social ...
    • Early Warnings of Corporate Bankruptcies Using Machine Learning Techniques 

      Gogstad, Jostein; Øysæd, Jostein (Master thesis, 2009)
      The tax history of a company is used to predict corporate bankruptcies using Bayesian inference. Our developed model uses a combination of Naive Bayesian classification and Gaussian Processes. Based on a sample of 1184 ...
    • 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 ...
    • 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 ...
    • 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 ...
    • 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 ...
    • 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 

      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 ...
    • 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.
    • 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 ...