Blar i Vitenskapelige publikasjoner (TN-IDE) på tittel

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    • MRI data-driven clustering reveals different subtypes of Dementia with Lewy bodies 

      Inguanzo, Anna; Poulakis, Konstantinos; Mohanty, Rosaleena; Schwarz, Christopher G.; Przybelski, Scott A.; Diaz-Galvan, Patricia; Lowe, Val J.; Boeve, Bradley F.; Lemstra, Afina W.; van de Beek, Marleen; van der Flier, Wiesje; Barkhof, Frederik; Blanc, Frederic; Loureiro de Sousa, Paulo; Philippi, Nathalie; Cretin, Benjamin; Demuynck, Catherine; Nedelska, Zuzana; Hort, Jakub; Segura, Barbara; Junque, Carme; Oppedal, Ketil; Aarsland, Dag; Westman, Eric; Kantarci, Kejal; Ferreira, Daniel (Peer reviewed; Journal article, 2023)
      Dementia with Lewy bodies (DLB) is a neurodegenerative disorder with a wide heterogeneity of symptoms, which suggests the existence of different subtypes. We used data-driven analysis of magnetic resonance imaging (MRI) ...

    • A Multi-Agent Reinforcement Learning Architecture for Network Slicing Orchestration 

      Mason, Federico; Nencioni, Gianfranco; Zanella, Andrea (Chapter, 2021)
      The Network Slicing (NS) paradigm is one of the pillars of the future 5G networks and is gathering great attention from both industry and scientific communities. In a NS scenario, physical and virtual resources are partitioned ...

    • Multi-input segmentation of damaged brain in acute ischemic stroke patients using slow fusion with skip connection 

      Tomasetti, Luca; Khanmohammadi, Mahdieh; Engan, Kjersti; Høllesli, Liv Jorunn; Kurz, Kathinka Dæhli (Peer reviewed; Journal article, 2022-03)
      Time is a fundamental factor during stroke treatments. A fast, automatic approach that segmentsthe ischemic regions helps treatment decisions. In clinical use today, a set of color-coded parametric maps generated from ...

    • Multimodal biosignal analysis algorithm for the classification of cardiac rhythms during resuscitation 

      Lasea, Haizea; Irusta, Unai; Eftestøl, Trygve Christian; Aramendi, Elisabete; Rad, Ali Bahrami; Kramer-Johansen, Jo; Wik, Lars (Peer reviewed; Journal article, 2020)
      Monitoring the heart rhythm during out-of-hospital cardiac arrest (OHCA) is important to improve treatment quality. OHCA rhythms fall into five categories: asystole (AS), pulseless electrical activity (PEA), pulse-generating ...

    • Multipath Dynamic Adaptive Streaming over HTTP Using Scalable Video Coding in Software Defined Networking 

      Gohar, Ali; Lee, Sanghwan (Peer reviewed; Journal article, 2020)
      Dynamic Adaptive Streaming over HTTP (DASH) offers adaptive and dynamic multimedia streaming solutions to heterogeneous end systems. However, it still faces many challenges in determining an appropriate rate adaptation ...

    • A Multiscale Approach for Whole-Slide Image Segmentation of five Tissue Classes in Urothelial Carcinoma Slides 

      Wetteland, Rune; Engan, Kjersti; Eftestøl, Trygve Christian; Janssen, Emiel; Kvikstad, Vebjørn (Peer reviewed; Journal article, 2020)
      In pathology labs worldwide, we see an increasing number of tissue samples that need to be assessed without the same increase in the number of pathologists. Computational pathology, where digital scans of histological ...

    • Network-Aware Availability Modeling of an End-to-End NFV-Enabled Service 

      Tola, Besmir; Nencioni, Gianfranco; Helvik, Bjarne Emil (Peer reviewed; Journal article, 2019)
      Network Function Virtualization (NFV) represents a key shift in nowadays network service provisioning by entailing higher flexibility, elasticity, and programmability of network services. Dependability is one of the main ...

    • A New Modular Petri Net for Modeling Large Discrete-Event Systems: A Proposal Based on the Literature Study 

      Davidrajuh, Reggie (Peer reviewed; Journal article, 2019)
      Petri net is a highly useful tool for modeling of discrete-event systems. However, Petri net models of real-life systems are enormous, and their state-spaces are usually of infinite size. Thus, performing analysis on the ...

    • NewbornTime - improved newborn care based on video and artificial intelligence - study protocol 

      Engan, Kjersti; Meinich-Bache, Øyvind; Brunner, Sara; Myklebust, Helge; Rong, Chunming; Garcia-Torres Fernandez, Jorge; Ersdal, Hege Langli; Johannessen, Anders; Pike, Hanne; Rettedal, Siren (Journal article, 2023)
      Background Approximately 3-8% of all newborns do not breathe spontaneously at birth, and require time critical resuscitation. Resuscitation guidelines are mostly based on best practice, and more research on newborn ...

    • On Interpretation and Measurement of Soft Attributes for Recommendation 

      Balog, Krisztian; Radlinski, Filip; Karatzoglou, Alexandros (Chapter, 2021-07)
      We address how to robustly interpret natural language refinements (or critiques) in recommender systems. In particular, in human-human recommendation settings people frequently use soft attributes to express preferences ...

    • On the optimization of actuator saturation limits for LTI systems: an LMI-based invariant ellipsoid approach 

      Rotondo, Damiano; Rizzello, Gianluca (Peer reviewed; Journal article, 2021)
      This paper considers the problem of optimal actuator dimensioning for LTI systems, in the sense of choosing appropriate saturation limits for a given set of admissible initial conditions and for a predefined integral ...

    • On the Performance of Energy Criterion Method in Wi-Fi Transient Signal Detection 

      Mohamed, Ismail; Dalveren, Yaser; Catak, Ferhat Özgur; Kara, Ali (Peer reviewed; Journal article, 2022-01)
      In the development of radiofrequency fingerprinting (RFF), one of the major challenges is to extract subtle and robust features from transmitted signals of wireless devices to be used in accurate identification of possible ...

    • Open Humans: A platform for participant-centered research and personal data exploration 

      Tzovaras, Bastian Greshake; Angrist, Misha; Arvai, Kevin; Dulaney, Mairi; Estrada-Galiñanes, Vero; Gunderson, Beau; Head, Tim; Lewis, Dana; Nov, Oded; Shaer, Orit; Tzovara, Athina; Bobe, Jason; Ball, Mad Price (Peer reviewed; Journal article, 2019)
      Background Many aspects of our lives are now digitized and connected to the internet. As a result, individuals are now creating and collecting more personal data than ever before. This offers an unprecedented chance for ...

    • OpenIaC: open infrastructure as code - the network is my computer 

      Chunming, Rong; Geng, Jiahui; Hacker, Thomas J.; Bryhni, Haakon; JAATUN, Martin Gilje (Peer reviewed; Journal article, 2022)
      Modern information systems are built fron a complex composition of networks, infrastructure, devices, services, and applications, interconnected by data flows that are often private and financially sensitive. The 5G networks, ...

    • Optimal Access Point Power Management for Green IEEE 802.11 Networks 

      Garroppo, Rosario G.; Nencioni, Gianfranco; Tavanti, Luca; Gendron, Bernard; Scutellà, Maria Grazia (Peer reviewed; Journal article, 2021-03)
      In this paper, we present an approach and an algorithm aimed at minimising the energy consumption of enterprise Wireless Local Area Networks (WLANs) during periods of low user activity. We act on two network management ...

    • Optimizing Document Classification: Unleashing the Power of Genetic Algorithms 

      Mustafa, Ghulam; Rauf, Abid; Al-Shamayleh, Ahmad Sami; Sulaiman, Muhammad; Afzal, Muhammad Tanvir; Akhunzada, Adnan (Peer reviewed; Journal article, 2023)
      Many individuals, including researchers, professors, and students, encounter difficulties when searching for scholarly documents, papers, and journals within a specific domain. Consequently, scholars have begun to focus ...

    • Optimizing support vector machines and autoregressive integrated moving average methods for heart rate variability data correction 

      Svane, Jakob; Wiktorski, Tomasz; Trygve Christian, Eftestøl; Stein, Ørn (Peer reviewed; Journal article, 2023-09)
      Heart rate variability (HRV) is the variation in time between successive heartbeats and can be used as an indirect measure of autonomic nervous system (ANS) activity. During physical exercise, movement of the measuring ...

    • Orchestration and Control in Software-Defined 5G Networks: Research Challenges 

      Nencioni, Gianfranco; Garroppo, Rosario G.; Gonzalez, Andres J.; Helvik, Bjarne Emil; Procissi, Gregorio (Journal article; Peer reviewed, 2018-08)
      The fifth generation (5G) of cellular networks promises to be a major step in the evolution of wireless technology. 5G is planned to be used in a very broad set of application scenarios. These scenarios have strict ...

    • Parsing heterogeneity within dementia with Lewy bodies using clustering of biological, clinical, and demographic data 

      Abdelnour, Carla; Ferreira, Daniel; van de Beek, Marleen; Cedres, Nira; Oppedal, Ketil; Cavallin, Lena; Blanc, Frédéric; Bousiges, Olivier; Wahlund, Lars-Olof; Pilotto, Andrea; Padovani, Alessandro; Boada, Mercè; Pagonabarraga, Javier; Kulisevsky, Jaime; Aarsland, Dag; Lemstra, Afina W.; Westman, Eric (Peer reviewed; Journal article, 2022)
      Background Dementia with Lewy bodies (DLB) includes various core clinical features that result in different phenotypes. In addition, Alzheimer’s disease (AD) and cerebrovascular pathologies are common in DLB. All this ...

    • Partial search vector selection for sparse signal representation 

      Skretting, Karl; Husøy, John Håkon (Conference object, 2008)
      In this paper a new algorithm for vector selection in signal representation problems is proposed, we call it space is searched. Partial Search (PS). The vector selection problem is described, and one group of algorithms ...