• Cognitive video surveillance: an ANN/CBR hybrid approach 

      Oredsson, Anders (Master thesis, 2007)
      Cognitive vision is an interesting field of research that tries to create vision systems with cognitive abilities. Automated video surveillance is increasingly needed to watch our public transport systems, either as a ...
    • Controlling a Signal-regulated Pedestrian Crossing using Case-based Reasoning 

      Kheradmandi, Øyvind Shahin Berntsen; Strøm, Fredrick (Master thesis, 2012)
      The traffic domain, and in particular the domain of traffic control, is a highly complex and uncertain domain. A large network of roads, signal controlling systems, vehicles, pedestrians and other traffic units makes the ...
    • Conversational CBR for an Adaptive Question Answering System 

      Kokkersvold, Ida (Master thesis, 2007)
      Conversational Cased-Based Reasoning (CCBR) is an interactive, dialogoriented method within Cased-Based Reasoning (CBR) that provides a mixed-initative dialog for guiding users to construct their problem description ...
    • Conversational CBR for Improved Patient Information Acquisition 

      Marthinsen, Tor Henrik Aasness (Master thesis, 2007)
      In this thesis we describe our study of two knowledge intensive Conversational Case-Based Reasoning (CCBR) systems and their methods. We look in particular at the way they have solved inferencing and question ranking. Then ...
    • CREEK and Description Logics 

      Opheim, Mads (Master thesis, 2014)
      Creek is a system for diagnosis and problem solving. It makes heavily use of general knowledge, and is intended for open and weak theory domains. The system uses this general knowledge in combination with experiences from ...
    • 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 ...
    • 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 ...
    • Design of a clinician dashboard to facilitate co-decision making in the management of non-specific low back pain 

      Bach, Kerstin; Marling, Cindy; Mork, Paul Jarle; Aamodt, Agnar; Mair, Frances; Nicholl, Barbara I (Journal article; Peer reviewed, 2018)
      This paper presents the design of a Clinician Dashboard to promote co-decision making between patients and clinicians. Targeted patients are those with non-specific low back pain, a leading cause of discomfort, disability ...
    • Diagnosing Root Causes and Generating Graphical Explanations by Integrating Temporal Causal Reasoning and CBR 

      Nikpour, Hoda; Aamodt, Agnar; Skalle, Pål (Journal article; Peer reviewed, 2017)
      This study proposes a methodology to diagnose the root causes of failures in the domain of oil well drilling. The idea is to combine a Bayesian network, which is generated based on an expert knowledge, with situation-specific ...
    • Dialogue Learning in CCBR 

      Vartdal, Hans Arne (Master thesis, 2007)
      In the field of palliative care there is a need to create adaptive questionnaires to minimize the patient's "cognitive load" when acquiring data of the patient's subjective experience of pain. A conversational case based ...
    • Distributed Knowledge in Case-Based Reasoning: Knowledge Sharing and Reuse within the Semantic Web 

      Fidjeland, Mikael Kirkeby (Master thesis, 2006)
      The Semantic Web is an emerging framework for data reuse and sharing. By giving data clear semantics it allows for machine processing of this information. The Semantic Web technologies range from simple meta data to domain ...
    • Downhole failures revealed through ontology engineering 

      Skalle, Pål; Aamodt, Agnar (Peer reviewed; Journal article, 2020)
      Frequency of failures occurring during offshore oil-well drilling do not diminish over time, probably due to increased operational complexity. The volume and frequency of information generated during the drilling process ...
    • Enabling an automated monitor layer for RDF using integrity constraints 

      Valen-Sendstad, Øyvind (Master thesis, 2011)
      The Semantic Web has introduced several innovations to the existing field of Integrated Operations and sparked a shift in the development of the ISO 15926 standard. Industries that want to implement ISO 15926 need to ...
    • Enabling an automated monitor layer for RDF using integrity constraints 

      Valen-Sendstad, Oyvind (Master thesis, 2011)
      The Semantic Web has introduced several innovations to the existing field of Integrated Operations and sparked a shift in the development of the ISO 15926 standard. Industries that want to implement ISO 15926 need to ...
    • Enhanced Similarity Matching by Grouping of Features 

      Landstad, Andreas Ståleson (Master thesis, 2012)
      In this report we introduce a classification system named Grouping of Features (GoF), together with a theoretical exploration of some of the important concepts in the Instant Based Learning(IBL)-field that are related to ...
    • EventSeer: Testing Different Approaches to Topical Crawling for Call for Paper Announcements 

      Brennhaug, Knut Eivind (Master thesis, 2005)
      The goal of the Eventseer project is to build a digital library of call for paper announcements. Today call for papers are collected from different mailing lists, the goal is to develop topical crawlers so that Eventseer ...
    • Explanation Awareness and Ambient Intelligence as Social Technologies 

      Cassens, Jörg (Doctoral Theses at NTNU, 1503-8181; 2008:119, Doctoral thesis, 2008)
      This work focuses on the socio-technical aspects of artificial intelligence, namely how (specific types of) intelligent systems function in human workplace environments. The goal is first to get a better understanding of ...
    • 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 ...
    • Game AI: micromanagement in Star Craft. 

      Szczepanski, Tomasz Szymon (Master thesis, 2010)
      Real-time strategy (RTS) games are both popular among players as well as among academics. A typical RTS gameplay can be divided into macromanagement and micromanagement. Other researchers have successfully applied Case-based ...
    • Growing a Forest: - Genetic Decision tree Induction 

      Fuglseth, Anders Nikolai (Master thesis, 2016)
      In decision tree learning, the traditional top-down divide and conquer approach searches a limited part of the hypothesis space, often leading to sub-optimal solutions. By doing decision tree induction with the use of an ...