• Coloring GPenSIM 

      Hatlevold, Jens Otto (Masteroppgave/UIS-TN-IDE/2008, Master thesis, 2008)
      The object of this report is to present a solution on how to implement color functionality in GPenSIM. Current version of GPenSIM is based on Place/Transition nets (PT-nets). When creating systems with PT-nets there are ...
    • The combined effect of amyloid-β and tau biomarkers on brain atrophy in dementia with Lewy bodies 

      Abdelnour, Carla; Ferreira, Daniel; Oppedal, Ketil; Cavallin, Lena; Bousiges, Olivier; Wahlund, Lars Olof; Hort, Jakub; Nedelska, Zuzana; Padovani, Alessandro; Pilotto, Andrea; Bonanni, Laura; Kramberger, Milica Gregoric; Boada, Mercè; Westman, Eric; Pagonabarraga, Javier; Kulisevsky, Jaime; Blanc, Frédéric; Aarsland, Dag (Peer reviewed; Journal article, 2020-07)
      Background Alzheimer’s disease (AD)-related pathology is frequently found in patients with dementia with Lewy bodies (DLB). However, it is unknown how amyloid-β and tau-related pathologies influence neurodegeneration in ...
    • Comparative analysis of mathematical models describing glucose-insulin regulation in vivo 

      Knudsen, Ingeborg Siem (Masteroppgave/UIS-TN-IDE/2013;, Master thesis, 2013-05)
      In this thesis, mathematical models describing glucose-insulin regulation within the human body have been studied. Glucoregulatory models are valuable in diabetes related research. Monitoring glucose-insulin dynamics, testing ...
    • Comparative Analysis of Sampling Methods for Imbalanced Classification 

      Koloszyc Piotr; Li Rongbing (Master thesis, 2023)
      Assigning class labels to instances is a key component of the machine learning technique known as classification predictive modeling. While concentrating largely on balanced classification problems, which are thought to ...
    • Comparative Analysis of Sampling Methods for Imbalanced Classification 

      Li, Rongbing; Koloszyc, Piotr (Master thesis, 2023)
      Assigning class labels to instances is a key component of the machine learning technique known as classification predictive modeling. While concentrating largely on balanced classification problems, which are thought to ...
    • Comparison of Machine Learning Services 

      Nketah, Gabriel (Masteroppgave/UIS-TN-IDE/2016;, Master thesis, 2016-06)
      In this paper, three Cloud Machine Learning services are considered using the same dataset to run predictions on each of them. These services are quantitatively and qualitatively analyzed and compared by considering their ...
    • Comprehensive Python module for computing and visualizing dynamic time warping alignment: DTWPy 

      Gulzar, Hafiz Muhammad (Masteroppgave/UIS-TN-IDE/2015;, Master thesis, 2015-06-15)
      Dynamic Time Warping (DTW) is a well-known technique used to determine alignment between two temporal sequences. DTW has been used in wide range of applications and it can be applied on any data which can be represented ...
    • A conceptual model for ethical business decision-making under the influence of personal relationships 

      Davidrajuh, Reggie (Journal article; Peer reviewed, 2008)
      This paper proposes a conceptual model for ethical business decision-making. The purpose of this model is to explore the ethical implications of personal relationship in business exchanges. Firstly, this paper introduces ...
    • Condition based monitoring - Early-warning system for NOV Cyberbase™ 

      Løvik, Daniel (Bachelor thesis, 2022)
      This thesis project aimed to investigate viable parameters in a condition monitoring system, which could provide an indication for machine degradation, based on the severity of the measured vibration on key components. The ...
    • Constructing a Personal Knowledge Graph from Disparate Data Sources 

      Langholm,Einar (Master thesis, 2021)
      This thesis revolves around the idea of a Personal Knowledge Graph as a uniform coherent structure of personal data collected from multiple disparate sources: A knowledge base consisting of entities such as persons, events, ...
    • Context Modeling for User Simulation for Conversational Information Access 

      Drzewiecki, Aleksander Drzewiecki; Afzali, Jafar (Master thesis, 2022)
      Conversational Information Access systems are systems that help satisfy the information needs of their users via multi-turn conversations. These systems are different from traditional information access systems as they can ...
    • Context Modeling for User Simulation for Conversational Information Access 

      Afzali, Jafar; Drzewiecki, Aleksander Mark (Master thesis, 2022)
      Conversational Information Access systems are systems that help satisfy the information needs of their users via multi-turn conversations. These systems are different from traditional information access systems as they can ...
    • Control system for sheep tracking network 

      Cocanu, Laurentiu (Masteroppgave/UIS-TN-IDE/2011;, Master thesis, 2011)
      FlockWatch is part of an ongoing sheep tracking research project. The goal of this project is to design a system for locating sheep or other animals grazing in the mountains by using sensor nodes (Waspmote), equipped with ...
    • The Control Zendo: A Game of Inductive Logic for Teaching Automatic Control 

      Rotondo, Damiano; Jimarkon, Pattamawan; Fjereide, Didrik Efjestad (Peer reviewed; Journal article, 2023)
      Board games and card games have been used with some degree of success in the implementation of active strategies for education, since they stimulate problem solving and increase the learning and engagement of the students. ...
    • Controller Motifs for Homeostatic Regulation and Their Applications in Biological Systems 

      Thorsen, Kristian (PhD thesis UiS;276, Doctoral thesis, 2015-12-03)
      Living organisms have over billions of years evolved into highly specific and complex entities. Although the range of organisms that inhabit our planet is strikingly diverse, they are all in some extent able to protect ...
    • Conversational AI for Serving Fact-Checks 

      Nilsen, Ole Petter (Master thesis, 2022)
      The purpose of this thesis was to create a conversational AI for serving fact-checks, using a collection of already existing fact-checking articles. The conversational AI uses a hybrid system, combining both a question ...
    • Conversational AI from an Information Retrieval Perspective: Remaining Challenges and a Case for User Simulation 

      Balog, Krisztian (Peer reviewed; Journal article, 2021-09)
      Conversational AI is an emerging field of computer science that engages multiple research communities, from information retrieval to natural language processing to dialogue systems. Within this vast space, we focus on ...
    • Conversational Entity Linking: Problem Definition and Datasets 

      Joko, Hideaki; Hasibi, Faegheh; Balog, Krisztian; de Vries, Arjen (Chapter, 2021-07)
      Machine understanding of user utterances in conversational systems is of utmost importance for enabling engaging and meaningful conversations with users. Entity Linking (EL) is one of the means of text understanding, with ...
    • A Conversational Movie Recommender System 

      Habib, Javeria (Masteroppgave/UIS-TN-IDE/2020;, Master thesis, 2020)
      The purpose of a Conversational Recommender System is to help the users achieve their recommendation specific goals using a multi-turn dialogue. In recent years, numerous studies are conducted on improving the quality ...
    • A Conversational Movie Recommender System 

      Habib, Javeria (Masteroppgave/UIS-TN-IDE/2020;, Master thesis, 2020-06-15)
      The purpose of a Conversational Recommender System is to help the users achieve their recommendation specific goals using a multi-turn dialogue. In recent years, numerous studies are conducted on improving the quality ...