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    • Human activity recognition using wearable sensors, discriminant analysis, and long short-term memory-based neural structured learning 

      Uddin, Md Zia; Soylu, Ahmet (Scientific Reports;11, Article number: 16455 (2021), Peer reviewed; Journal article, 2021-08-12)
      Healthcare using body sensor data has been getting huge research attentions by a wide range of researchers because of its good practical applications such as smart health care systems. For instance, smart wearable sensor-based ...

    • Human Experts’ Perceptions of Auto-Generated Summarization Quality 

      Lotfigolian, Maryam; Papanikolaou, Christos; Taghizadeh, Samaneh; Sandnes, Frode Eika (Chapter; Conference object, 2023)
      In this study we addressed automatic summarizations generated us- ing modern artificial intelligence techniques. Several mathematical methods for evaluating the performance of automatic summariza- tion exist. Such methods ...

    • Human Performance Characteristics of Three-finger Chord Sequences 

      Sandnes, Frode Eika (Procedia Manufacturing;3, Journal article; Peer reviewed, 2015-10-23)
      This study addressed human performance characteristics of chord sequences using a framework where each alphabetic letter is represented by a unit of three three-finger chords recalled according to a mnemonic. Fourteen ...

    • Hvorfor trenger vi statistikk? 

      Brurberg, Kjetil Gundro; Hammer, Hugo Lewi (Sykepleien Forskning;8 (1), Journal article, 2013)

    • The Hydra: A layered, redundant configuration management approach for cloud-agnostic disaster recovery 

      Huang, Ke; Begnum, Kyrre (IEEE International Conference on Cloud Computing Technology and Science;, Chapter; Peer reviewed, 2013)
      This paper demonstrates a bottom-up approach to developing autonomic fault tolerance and disaster recovery on cloud-based deployments. We avoid lock-in to specific recovery features provided by the cloud itself, and instead ...

    • HYPERAKTIV: An Activity Dataset from Patients with Attention-Deficit/Hyperactivity Disorder (ADHD) 

      Hicks, Steven; Stautland, Andrea; Fasmer, Ole Bernt; Førland, Wenche; Hammer, Hugo Lewi; Halvorsen, Pål; Mjeldheim, Kristin; Ødegaard, Ketil Joachim; Osnes, Berge; Syrstad, Vigdis Elin Giæver; Riegler, Michael; Jakobsen, Petter (MMSys: ACM Multimedia Systems;MMSys '21: Proceedings of the 12th ACM Multimedia Systems Conference, Conference object, 2021-09-22)
      Machine learning research within healthcare frequently lacks the public data needed to be fully reproducible and comparable. Datasets are often restricted due to privacy concerns and legal requirementsthat come with ...

    • HyperKvasir, a comprehensive multi-class image and video dataset for gastrointestinal endoscopy 

      Borgli, Hanna; Thambawita, Vajira; Smedsrud, Pia H; Hicks, Steven; Jha, Debesh; Eskeland, Sigrun Losada; Randel, Kristin Ranheim; Pogorelov, Konstantin; Lux, Mathias; Dang Nguyen, Duc Tien; Johansen, Dag; Griwodz, Carsten; Stensland, Håkon Kvale; Garcia-Ceja, Enrique; Schmidt, Peter T; Hammer, Hugo Lewi; Riegler, Michael; Halvorsen, Pål; de Lange, Thomas (Scientific Data;7, Article number: 283 (2020), Journal article; Peer reviewed, 2020-08-28)
      Artifcial intelligence is currently a hot topic in medicine. However, medical data is often sparse and hard to obtain due to legal restrictions and lack of medical personnel for the cumbersome and tedious process to manually ...

    • ICRAN: Intelligent control for self-driving RAN based on deep reinforcement learning 

      Mohamed Ahmed, Azza Hassan; Elmokashfi, Ahmed Mustafa Abdalla (Peer reviewed; Journal article, 2022)

    • Ideals generated by submaximal minors 

      Kleppe, Jan Oddvar; Miro-Roig, Rosa Maria (Algebra & Number Theory;3 (4), Journal article; Peer reviewed, 2009)
      The goal of this paper is to study irreducible families W(b;a) of codimension 4, arithmetically Gorenstein schemes X of P^n defined by the submaximal minors of a t x t matrix A whose entries are homogeneous forms of degree ...

    • Identifying Important Proteins in Meibomian Gland Dysfunction with Explainable Artificial Intelligence 

      Storås, Andrea; Magnø, Morten Schjerven; Fineide, Fredrik; Thiede, Bernd; Chen, Xiangjun; Strumke, Inga; Halvorsen, Pål; Utheim, Tor Paaske; Riegler, Michael Alexander (Peer reviewed; Journal article, 2023)
      Meibomian gland dysfunction is the most common cause of dry eye disease and leads to significantly reduced quality of life and social burdens. Because meibomian gland dysfunction results in impaired function of the tear ...

    • Identifying the Usability Factors of Mid-Air Hand Gestures for 3D Virtual Model Manipulation 

      Chen, Li-Chieh; Cheng, Yun-Maw; Chu, Po-Ying; Sandnes, Frode Eika (Journal article; Peer reviewed, 2017)
      Although manipulating 3D virtual models with mid-air hand gestures had the benefits of natural interactions and free from the sanitation problems of touch surfaces, many factors could influence the usability of such an ...

    • Identity Federation for Cellular Internet of Things 

      Santos, Bernardo; Do, van Thanh; Feng, Boning; Thuan, Do Van (ACM International Conference Proceeding Series;ICSCA 2018 Proceedings of the 2018 7th International Conference on Software and Computer Applications, Journal article; Peer reviewed, 2018)
      Although the vision of 5G is to accommodate billions IoT devices and applications, its success depends very much on its ability to provide enhanced and affordable security. This paper introduces an Identity Federation ...

    • If I had a rich picture… : insights into the use of “soft” methodological tools to support the development of interprofessional education 

      Fougner, Marit; Habib, Laurence (Journal of Interprofessional Care;22 (5), Journal article; Peer reviewed, 2008)
      This paper describes a methodological experiment that aimed to test a small number of tools borrowed from Soft Systems Methodology. Those tools were intended to support action research for a project in interprofessional ...

    • An Image based Automatic 2D:4D Digit Ratio Measurement Procedure for Smart City Health and Business Applications 

      Sandnes, Frode Eika; Neyse, Levent (Chapter; Peer reviewed, 2018)
      2D:4D digit ratios are used for several health and business related applications. Currently, digit ratios are measured manually. This study proposes an automatic digit ratio measurement approach that can be used in the ...

    • Image based contamination detection on hard disk head gimbal assembly 

      Ieamsaard, Jirarat; Muneesawang, Paisarn; Sandnes, Frode Eika (SITIS 2015 - The 11th International Conference on Signal Image Technology & Internet System;, Peer reviewed; Chapter, 2015)
      Contamination may appear in various stages of hard disk manufacturing including the head gimbal assembly. Currently, the detection of contamination requires manual intervention. An image based automatic contamination ...

    • Image Search Versus Text Search Revisited: A Simple Experiment Using a Kahoot Quiz 

      Eide, Signe Aanderaa; Poljac, Ana-Maria; Sandnes, Frode Eika (Lecture Notes in Computer Science;Volume 12768, Conference object, 2021-07-03)
      Information search is a common task when interacting with computers. Many studies have investigated the characteristics that facilitate effective search, specifically the use of icons and/or text. This study reports a ...

    • An image-based visual strategy for working with color contrasts during design 

      Sandnes, Frode Eika (Lecture Notes in Computer Science;Computers Helping People with Special Needs; 10896, Journal article; Peer reviewed, 2018-06-26)
      Many websites do not satisfy minimum contrast requirements. One reason could be that designers must select colors through trial and error using contrast calculators. This paper presents a visual framework for working with ...

    • An Immersive Virtual Reality Exergame for People with Parkinson’s Disease 

      Chen, Weiqin; Bang, Martin; Krivonos, Daria; Schimek, Hanna; Naval, Arnau (Lecture Notes in Computer Science (LNCS); Volume 12376, Conference object, 2020-09-04)
      Parkinson’s disease is a neurodegenerative disorder that affects primarily motor system. Physical exercise is considered important for people with Parkinson’s disease (PD) to slow down disease progression and maintain ...

    • Impact of image resolution on deep learning performance in endoscopy image classification: An experimental study using a large dataset of endoscopic images 

      Thambawita, Vajira L B; Strumke, Inga; Hicks, Steven; Halvorsen, Pål; Parasa, Sravanthi; Riegler, Michael (Diagnostics;Volume 11 / Issue 12, Peer reviewed; Journal article, 2021-11-24)
      Recent trials have evaluated the efficacy of deep convolutional neural network (CNN)- based AI systems to improve lesion detection and characterization in endoscopy. Impressive results are achieved, but many medical studies ...

    • The Impact of Leadership on Digital Learning in Health 

      Meyer Solheim, Marit; Skjølsvik, Tale (Proceedings of the European Conference on Knowledge Management;Vol. 23 No. 2 (2022): Proceedings of the 23rd European Conference on Knowledge Management, Peer reviewed; Journal article, 2022-08-25)
      Leaders have a key responsibility in providing employees with the necessary knowledge and training so that they can carry out their work. At the same time, advances in technology, changes in demographics, increased demands ...