Recent Submissions

  • A comprehensive analysis of classification methods in gastrointestinal endoscopy imaging 

    Jha, Debesh; Ali, Sharib; Hicks, Steven; Thambawita, Vajira L B; Borgli, Hanna; Smedsrud, Pia H.; de Lange, Thomas; Pogorelov, Konstantin; Wang, Xiaowei; Harzig, Philipp; Tran, Minh-Triet; Meng, Wenhua; Hoang, Trung-Hieu; Dias, Danielle; Ko, Tobey H.; Agrawal, Taruna; Ostroukhova, Olga; Khan, Zeshan; Tahir, Muhammed Atif; Liu, Yang; Chang, Yuan; Kirkerød, Mathias; Johansen, Dag; Lux, Mathias; Johansen, Håvard D.; Riegler, Michael; Halvorsen, Pål (Peer reviewed; Journal article, 2021)
    Gastrointestinal (GI) endoscopy has been an active field of research motivated by the large number of highly lethal GI cancers. Early GI cancer precursors are often missed during the endoscopic surveillance. The high missed ...
  • Accessible Driver Announcement in Public Transportation: A Solution based on Speech-to-Text and Display 

    Sapkota, Abhijeet; Shrestha, Raju (IEEE International Conference on Smart City and Informatization (iSCI); 2020 IEEE 8th International Conference on Smart City and Informatization (iSCI), Chapter; Conference object; Fagfellevurdert, 2021-02-11)
    Today, the information in public transport, especially when an unforeseen event such as signal failure, platform change, etc. occurs, is largely provided by making an audio announcement. This, in many situations, is hardly ...
  • An Adaptive User Pairing Strategy for Uplink Non-Orthogonal Multiple Access 

    Rauniyar, Ashish; Engelstad, Paal E.; Østerbø, Olav Norvald (IEEE International Symposium on Personal, Indoor, and Mobile Radio Communications workshops;2020 IEEE 31st Annual International Symposium on Personal, Indoor and Mobile Radio Communications, Chapter; Conference object; Journal article, 2020-10-08)
    Non-orthogonal multiple access (NOMA) is consid-ered an important candidate for the next-generation cellular networks to address the issue of exponentially growing data traffic from technologies like the Internet of Things ...
  • Cross-Subject emotion recognition from EEG using Convolutional Neural Networks 

    Zhong, Xiaolong; Yin, Zhong; Zhang, Jianhua (Chinese Control Conference (CCC);2020 39th Chinese Control Conference (CCC), Peer reviewed; Journal article, 2020-09-09)
    Using electroencephalogram (EEG) signals for emotion detection has aroused widespread research concern. However, across subjects emotional recognition has become an insurmountable gap which researchers cannot step across ...
  • An ELM-based Deep SDAE Ensemble for Inter-Subject Cognitive Workload Estimation with Physiological Signals 

    Zheng, Zhanpeng; Yin, Zhong; Zhang, Jianhua (Chinese Control Conference (CCC);2020 39th Chinese Control Conference (CCC), Peer reviewed; Conference object; Journal article, 2020-09-09)
    Evaluating operator cognitive workload (CW) levels in human-machine systems based on neurophysiological signals is becoming the basis to prevent serious accidents due to abnormal state of human operators. This study proposes ...
  • Automated Blackbox and Whitebox Testing of RESTful APIs with EvoMaster 

    Arcuri, Andrea (IEEE Software;Volume: 38, Issue: 3, Peer reviewed; Journal article, 2020-08-03)
    RESTful APIs are very popular in industry, especially when developing enterprise systems using a microservice architecture. Testing such APIs is challenging, as tests will be composed of not only HTTP calls, but also ...
  • Criticality as a measure of developing proteinopathy in engineered human neural networks 

    Valderhaug, Vibeke Devold; Heiney, Kristine; Huse Ramstad, Ola; Bråthen, Geir; Kuan, Wei-Li; Nichele, Stefano; Sandvig, Axel; Sandvig, Ioanna (bioRxiv;, Journal article, 2020-05-04)
    A patterned spread of proteinopathy represents a common characteristic of many neurodegenerative diseases. In Parkinson’s disease (PD), misfolded forms of alpha-synuclein proteins aggregate and accumulate in hallmark ...
  • Structural and functional alterations associated with the LRRK2 G2019S mutation revealed in structured human neural networks 

    Valderhaug, Vibeke Devold; Huse Ramstad, Ola; van de Wijdeven, Rosanne Francisca; Heiney, Kristine; Nichele, Stefano; Sandvig, Axel; Sandvig, Ioanna (bioRxiv;, Journal article, 2020-05-02)
    Mutations in the LRRK2 gene have been widely linked to Parkinson ́s disease. The G2019S variant has been shown to contribute uniquely to both familial and sporadic forms of the disease. LRRK2-related mutations have been ...
  • Criticality-Driven Evolution of Adaptable Morphologies of Voxel-Based Soft-Robots 

    Talamini, Jacopo; Medvet, Eric; Nichele, Stefano (Frontiers in Robotics and AI;1 June 2021 | Volume 8 | Article 673156, Peer reviewed; Journal article, 2021-06-17)
    The paradigm of voxel-based soft robots has allowed to shift the complexity from the control algorithm to the robot morphology itself. The bodies of voxel-based soft robots are extremely versatile and more adaptable than ...
  • Automated authentic assessment: Applied to an undergraduate course in network and system administration 

    Hassan, Ismail (Peer reviewed; Journal article, 2020)
    The traditional pen and paper exam is overwhelmingly the preferred method of assessing students in Norwegian higher education. There is a pressing need to explore alternative approaches that can authentically assess critical ...
  • Teaching cybersecurity to computer science students utilizing terminal sessions recording software as a pedagogical tool 

    Hassan, Ismail (Peer reviewed; Journal article, 2020)
    This Innovate Practice Full Paper presents our experience with teaching a cybersecurity course to undergraduate students utilizing terminal sessions recording software as a pedagogical tool.Developing a practical cybersecurity ...
  • C*-simplicity of HNN extensions and groups acting on trees 

    Bryder, Rasmus Sylvester; Ivanov, Nikolay A.; Omland, Tron (Annales de l'Institut Fourier;volume 70, issue 4, Peer reviewed; Journal article, 2021-04-15)
    We study non-ascending HNN extensions acting on their Bass– Serre tree and characterize C∗-simplicity and the unique trace property by means of the kernel and quasi-kernels of the HNN extension in question. We also present ...
  • Towards an Indoor Navigation Application for Emergency Evacuations and Persons with Visual Impairments – Experiences from First Responders and End Users 

    Giannoumis, George Anthony; Gjøsæter, Terje; Paupini, Cristina (IFIP Advances in Information and Communication Technology;Volume 575, Peer reviewed; Journal article, 2020-06-04)
    As natural and human disaster are increasingly affecting people’s lives around the globe in a growing and variegated way, the need to be prepared for a variety of conditions is imperative. Notwithstanding the relevance of ...
  • A Machine Learning-based Tool for Passive OS Fingerprinting with TCP Variant as a Novel Feature 

    Hagos, Desta Haileselassie; Yazidi, Anis; Kure, Øivind; Engelstad, Paal (IEEE Internet of Things Journal;Volume: 8, Issue: 5, Peer reviewed; Journal article, 2020-09-15)
    With the emergence of Internet of Things (IoT), securing and managing large, complex enterprise network infrastructure requires capturing and analyzing network traffic traces in real-time. An accurate passive Operating ...
  • Learning in Higher Education Under the Covid-19 Pandemic: Were Students More Engaged or Less? 

    Eika, Evelyn (International Journal of English Linguistics;volume 11, issue 3, Peer reviewed; Journal article, 2021-05-17)
    This study explored students’ learning experiences in higher education during the Covid-19 pandemic. A journal writing methodology was used to extract learners’ reflective thoughts regarding their living and learning during ...
  • Is Peer Feedback Helpful When Learning Literature Review Writing? A Study of Feedback Features and Quantity 

    Eika, Evelyn (English Linguistics Research;volume 10, issue 1, Peer reviewed; Journal article, 2021-03-27)
    The literature review is an important part of an academic text. It is common for students to learn literature review writing through reading and practice. This study explored peer feedback as an assisting interactive social ...
  • Distributed learning automata-based scheme for classification using novel pursuit scheme 

    Goodwin, Morten; Yazidi, Anis (Applied intelligenc;volume 50, issue 7, Peer reviewed; Journal article, 2020-03-02)
    Learning Automata (LA) is a popular decision making mechanism to “determine the optimal action out of a set of allowable actions” (Agache and Oommen, IEEE Trans Syst Man Cybern-Part B Cybern 2002(6): 738–749, 2002). The ...
  • C*-algebras of right LCM one-relator monoids and Artin-Tits monoids of finite type 

    Li, Xin; Omland, Tron; Spielberg, Jack (Communications in Mathematical Physics;volume 381, issue 3, Peer reviewed; Journal article, 2020-05-23)
    WestudyC*-algebrasgeneratedbyleftregularrepresentationsofrightLCM one-relator monoids and Artin–Tits monoids of finite type. We obtain structural results concerning nuclearity, ideal structure and pure infiniteness. Moreover, ...
  • Instantaneous mental workload assessment using time–frequency analysis and semi-supervised learning 

    Zhang, Jianhua; Li, Jianrong; Wang, Rubin (Cognitive Neurodynamics;volume 14, issue 5, Peer reviewed; Journal article, 2020-05-12)
    The real-time assessment of mental workload (MWL) is critical for development of intelligent human–machine cooper- ative systems in various safety–critical applications. Although data-driven machine learning (ML) approach ...
  • Enhanced Equivalence Projective Simulation: A Framework for Modeling Formation of Stimulus Equivalence Classes 

    Abolpour Mofrad, Asieh; Yazidi, Anis; Abolpour Mofrad, Samaneh; Hammer, Hugo Lewi; Arntzen, Erik (Neural Computation;Vol. 33, No. 2, Journal article; Peer reviewed, 2021-02-01)
    Formation of stimulus equivalence classes has been recently modeled through equivalence projective simulation (EPS), a modified version of a projective simulation (PS) learning agent. PS is endowed with an episodic memory ...

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