• Nationwide rollout reveals efficacy of epidemic control through digital contact tracing 

      Elmokashfi, Ahmed Mustafa Abdalla; Sundnes, Joakim; Kvalbein, Amund; Naumova, Valeriya; Reinemo, Sven-Arne; Florvaag, Per Magne; Stensland, Håkon Kvale; Lysne, Olav (Nature Communications;12, Article number: 5918 (2021), Peer reviewed; Journal article, 2021-10-11)
      Fuelled by epidemiological studies of SARS-CoV-2, contact tracing by mobile phones has been put to use in many countries. Over a year into the pandemic, we lack conclusive evidence on its effectiveness. To address this ...
    • Near Eyes-Free Chauffeur Computer Interaction with Chording and Visual Text Mnemonics 

      Sandnes, Frode Eika; Huang, Yo-Ping; Huang, Yueh-Min (Journal of Universal Computer Science;16 (10), Journal article; Peer reviewed, 2010)
      Modern cars are equipped with advanced technology requiring cognitively complex operation that is reliant on the user’s visual attention. It is therefore hazardous for drivers to operate such devices while driving. In ...
    • Net Auto-Solver: A formal approach for automatic resolution of OpenFlow anomalies 

      Aryan, Ramtin; Yazidi, Anis; Engelstad, Paal E.; Bouhoula, Adel (Conference on Local Computer Networks; 2020 IEEE 45th Conference on Local Computer Networks (LCN), Journal article; Peer reviewed, 2021-01-15)
      Policy anomalies are frequent in nowadays’s computer networks due to their increasing configuration complexity. Resolving policy anomalies usually requires network administrator intervention, which is a time-intensive and ...
    • .NET/C# instrumentation for search-based software testing 

      Golmohammadi, Amid; Zhang, Man; Arcuri, Andrea (Peer reviewed; Journal article, 2023)
      C# is one of the most widely used programming languages. However, to the best of our knowledge, there has been no work in the literature aimed at enabling search-based software testing techniques for applications running ...
    • A neural network model and framework for an automatic evaluation of image descriptions based on NCAM image accessibility guidelines 

      Shrestha, Raju (Chapter; Peer reviewed, 2021)
      Millions of people who are either blind or visually impaired have difficulty understanding the content in an image. To address the problem textual image descriptions or captions are provided separately or as alternative ...
    • A neuro-inspired general framework for the evolution of stochastic dynamical systems: Cellular automata, random Boolean networks and echo state networks towards criticality 

      Pontes-Filho, Sidney; Lind, Pedro; Yazidi, Anis; Zhang, Jianhua; Hammer, Hugo Lewi; Mello, Gustavo; Sandvig, Ioanna; Tufte, Gunnar; Nichele, Stefano (Cognitive Neurodynamics;, Journal article; Peer reviewed, 2020-06-11)
      Although deep learning has recently increased in popularity, it suffers from various problems including high computational complexity, energy greedy computation, and lack of scalability, to mention a few. In this paper, ...
    • A new decision making model based on Rank Centrality for GDM with fuzzy preference relations 

      Yazidi, Anis; Ivanovska, Magdalena; Zennaro, Fabio Massimo; Lind, Pedro; Viedma, Enrique Herrera (European Journal of Operational Research;Volume 297, Issue 3, Peer reviewed; Journal article, 2021-06-01)
      Preference aggregation in Group Decision Making (GDM) is a substantial problem that has received a lot of research attention. Decision problems involving fuzzy preference relations constitute an important class within GDM. ...
    • A new method for identifying possible causal relationships between CO2, total solar irradiance and global temperature change 

      Seip, Knut Lehre; Grøn, Øyvind (Theoretical and Applied Climatology;2015, Journal article; Peer reviewed, 2015-11-20)
      We apply a novel method based upon “before” and “after” relationships to investigate and quantify interconnections between global temperature anomaly, GTA, as response variable, and greenhouse gases, CO2, and total solar ...
    • A new methodology for identifying unreliable sensors in data fusion 

      Yazidi, Anis; Herrera-Viedma, Enrique (Knowledge-Based Systems;Volume 136, Journal article; Peer reviewed, 2017-11-15)
      Sensor fusion is a fundamental research topic that has received significant attention in the literature. An important body of research has focused on assessing the reliability of a sensor or more generally an “information ...
    • A new quantile tracking algorithm using a generalized exponentially weighted average of observations 

      Hammer, Hugo Lewi; Yazidi, Anis; Rue, Håvard (Applied Intelligence;Published online 10 November, 2018, Journal article; Journal article; Peer reviewed, 2018-11-10)
      The Exponentially Weighted Average (EWA) of observations is known to be state-of-art estimator for tracking expectations of dynamically varying data stream distributions. However, how to devise an EWA estimator to rather ...
    • A new user interface for a text proofreading web portal in a digitization and crowdsourcing context 

      Murano, Pietro (International Journal of Web Information Systems;Volume 14, Issue 1, Journal article; Peer reviewed, 2018)
      Purpose: This paper presents a new user interface design for text proofreading portals in a digitization and crowdsourcing context. Several of the current proofreading portals lack usability in their user interfaces. The ...
    • Njord: a fishing trawler dataset 

      Nordmo, Tor-Arne Schmidt; Ovesen, Aril Bernhard; Juliussen, Bjørn Aslak; Hicks, Steven; Thambawita, Vajira L B; Johansen, Håvard D.; Halvorsen, Pål; Riegler, Michael Alexander; Johansen, Dag (Chapter, 2022)
      Fish is one of the main sources of food worldwide. The commercial fishing industry has a lot of different aspects to consider, ranging from sustainability to reporting. The complexity of the domain also attracts a lot of ...
    • A Non-Visual Photo Collection Browser based on Automatically Generated Text Descriptions 

      Sandnes, Frode Eika (DSAI;2010, Chapter; Peer reviewed, 2010)
      This study presents a textual photo collection browser that automatically and quickly analyses large personal photo collections and produces textual reports that can be accessed by blind users using either text-to-speech ...
    • Notes on the Kazhdan-Lusztig Theorem on Equivalence of the Drinfeld Category and the Category of U(q)g-Modules 

      Neshveyev, Sergey; Tuset, Lars (Algebras and Representation Theory;14 (5), Journal article; Peer reviewed, 2011)
    • A Novel Clustering Algorithm based on a Non-parametric "Anti-Bayesian" Paradigm 

      Hammer, Hugo Lewi; Yazidi, Anis; Oommen, John (Lecture Notes in Computer Science;, Journal article; Peer reviewed, 2015-05-01)
      The problem of clustering, or unsupervised classification, has been solved by a myriad of techniques, all of which depend, either directly or implicitly, on the Bayesian principle of optimal classification. To be more ...
    • A Novel Incremental Quantile Estimator Using the Magnitude of the Observations 

      Hammer, Hugo Lewi; Yazidi, Anis (The 26th Mediterranean Conference on Control and Automation;, Chapter; Chapter; Peer reviewed, 2018-08-23)
      Incremental quantile estimators like the the deterministic multiplicative incremental quantile estimator by Yazidi and Hammer (2017) are simple and efficient algorithms to estimate and track quantiles when data are received ...
    • A novel technique for stochastic root-finding: Enhancing the search with adaptive d-ary search 

      Yazidi, Anis; Oommen, John (Information Sciences;Volume 393, Journal article; Peer reviewed, 2017-07)
      The most fundamental problem encountered in the field of stochastic optimization, is the Stochastic Root Finding (SRF) problem where the task is to locate an unknown point x∗ for which g(x∗) = 0 for a given function g ...
    • On achieving intelligent traffic-aware consolidation of virtual machines in a data center using Learning Automata 

      Jobava, Akaki; Yazidi, Anis; Oommen, John; Begnum, Kyrre (Journal of Computational Science;Volume 24, Journal article; Peer reviewed, 2018-01)
      Unlike the computational mechanisms of the past many decades, that involved individual (extremely powerful) computers or clusters of machines, Cloud Computing (CC) is becoming increasingly pertinent and popular. Computing ...
    • On automated cloud bursting and hybrid cloud setups using Apache Mesos 

      Haugerud, Hårek; Xue, Noha; Yazidi, Anis (Concurrency and Computation: Practice and Experience;Volume 32, Issue 17, Special Issue: Special Issue on Computational Intelligence Techniques for Industrial and Medical Applications (CITIMA2018). Special Issue on Cloud Computing, IoT, and Big Data: Technologies and Applications (CloudTech17), e5662, Journal article; Peer reviewed, 2020-02-05)
      Hybrid cloud technology is becoming increasingly popular as it merges private and public clouds to bring the best of two worlds together. However, due to the heterogeneous cloud installation, facilitating a hybrid cloud ...
    • On Converting Crisp Failure Possibility into Probability for Reliability of Complex Systems 

      Sahin, Bekir; Yazidi, Anis; Roman, Dumitru; Uddin, Md Zia; Soylu, Ahmet (Lecture Notes in Networks and Systems;Volume 308, Peer reviewed; Journal article, 2021-08-24)
      The reliability of complex systems is analyzed based on several systematic steps using many safety engineering methods. The most common technique for safety system analysis and reliability, vulnerability and criticality ...