Blar i TKD - Institutt for informasjonsteknologi på tittel

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    • An investigation of learning outcomes for MSc programs in Network and System Administration 

      Begnum, Kyrre; Border, Charles; Sijm, Niels (The USENIX Journal of Education in System Administration;1(1), Journal article; Peer reviewed, 2015)
      What is the essence of a graduate-level system administration education? What skills and abilities of the candidate should educators focus on when developing a new program? This paper investigates the learning outcomes ...

    • An Analysis of Data Production Based on the Consistency of Decision Matrices 

      Sahin, Bekir; Yazidi, Anis; Roman, Dumitru; Uddin, Md Zia; Soylu, Ahmet (Lecture Notes in Networks and Systems;Volume 307, Peer reviewed; Journal article, 2021-08-24)
      Multi-criteria decision making methods are used to solve numerous problems related to several disciplines such as engineering, management and business. Consistency of a decision making application is of crucial importance ...

    • Analysis of human gait using hybrid EEG-fNIRS-based BCI system: A review 

      Khan, Haroon; Naseer, Noman; Yazidi, Anis; Eide, Per Kristian; Hassan, Wajahat; Mirtaheri, Peyman (Peer reviewed; Journal article, 2021)
      Human gait is a complex activity that requires high coordination between the central nervous system, the limb, and the musculoskeletal system. More research is needed to understand the latter coordination's complexity in ...

    • An analysis of pollution Citizen Science projects from the perspective of Data Science and Open Science 

      Roman, Dumitru; Reeves, Neal; Gonzalez, Esteban; Celino, Irene; Abd El Kader, Shady; Turk, Philip Andreas; Soylu, Ahmet; Corcho, Oscar; Cedazo, Raquel; Re Calegari, Gloria; Scandolari, Damiano; Simperl, Elena (Data Technologies and Applications;Volume 55 - Issue 5, Peer reviewed; Journal article, 2021-05-05)
      Purpose: Citizen Science – public participation in scientific projects – is becoming a global practice engaging volunteer participants, often non-scientists, with scientific research. Citizen Science is facing major ...

    • And be but cryonically extant: Don DeLillo and Sir Thomas Browne 

      Muir, Tom (Textual Practice;, Peer reviewed; Journal article, 2022-04-04)
      This paper argues that Don DeLillo’s 2016 novel Zero K uses a debt to Sir Thomas Browne to stage a scalar approach to literature in the Anthropocene. Zero K uses its intertextual relationship to Browne’s Urne-Buriall to ...

    • Animated Backgrounds on the Web Reduce Reading Speed: Some Empirical Evidence from a Remote Experiment 

      Vital, Ana Flávia; van der Baan, Mark; Stenberg, Øyvind Ødegård; Sandnes, Frode Eika (Lecture Notes in Computer Science;Volume 13308, Proceedings, Part I, Conference object, 2022-06-16)
      It is generally considered a bad practice to place animations as back-grounds to text. There are many convincing arguments against using animated backgrounds, yet there are few empirical studies that have assessed effects ...

    • Anomaly Detection in Cellular IoT with Machine Learning 

      Santos, Bernardo; Khan, Imran Qayyrm; Dzogovic, Bruno; Feng, Boning; Do, Thuan Van; Jacot, Niels; Do, van Thanh (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;Volume 401, Conference object, 2021-01-01)
      The number of Internet of Things (IoT) devices used in eldercare are increasing day by day and bringing big security challenges especially for health care organizations, IoT service providers and most seriously for the ...

    • “Anti-Bayesian” Flat and Hierarchical Clustering Using Symmetric Quantiloids 

      Yazidi, Anis; Hammer, Hugo Lewi; Oommen, John (Chapter; Peer reviewed; Journal article, 2016)
      A myriad of works has been published for achieving data clustering based on the Bayesian paradigm, where the clustering sometimes resorts to Naïve-Bayes decisions. Within the domain of clustering, the Bayesian principle ...

    • “Anti-Bayesian” flat and hierarchical clustering using symmetric quantiloids 

      Hammer, Hugo Lewi; Yazidi, Anis; Oommen, John (Journal article; Peer reviewed, 2017)
      A Pattern Recognition (PR) system that does not involve labelled samples requires the clustering of the samples into their respective classes before the training and testing can be achieved. All of the reported clustering ...

    • Antipattern and Code Smell False Positives: Preliminary Conceptualization and Classification 

      Arcelli Fontana, Francesca; Dietrich, Jens; Walter, Bartosz; Yamashita, Aiko; Zanoni, Marco (Chapter; Peer reviewed; Chapter, 2016)
      Anti-patterns and code smells are archetypes used for describing software design shortcomings that can negatively affect software quality, in particular maintainability. Tools, metrics and methodologies ...

    • An AO-ADMM Approach to Constraining PARAFAC2 on All Modes 

      Roald, Marie; Schenker, Carla; Calhoun, Vince D.; Adali, Tülay; Bro, Rasmus; Cohen, Jeremy E.; Acar, Evrim (SIAM Journal on Mathematics of Data Science;Volume 4, Issue 3 | 2022, Peer reviewed; Journal article, 2022-08-30)
      Analyzing multi-way measurements with variations across one mode of the dataset is a challenge in various fields including data mining, neuroscience and chemometrics. For example, measurements may evolve over time or have ...

    • Approximate forward–backward algorithm for a switching linear Gaussian model 

      Hammer, Hugo Lewi; Tjelmeland, Håkon (Computational Statistics & Data Analysis;55 (1), Journal article; Peer reviewed, 2010-06-17)
      A hidden Markov model with two hidden layers is considered. The bottom layer is a Markov chain and given this the variables in the second hidden layer are assumed conditionally independent and Gaussian distributed. The ...

    • Arbitrary-order finite-Ttme corrections for the Kramers–Moyal operator 

      Gorjao, Leonardo; Witthaut, Dirk; Lehnertz, Klaus; Lind, Pedro (Peer reviewed; Journal article, 2021)
      : With the aim of improving the reconstruction of stochastic evolution equations from empirical time-series data, we derive a full representation of the generator of the Kramers–Moyal operator via a power-series expansion ...

    • Are electronic white canes better than traditional canes? A comparative study with blind and blindfolded participants 

      Aline Darc Piculo, dos Santos; Medola, Fausto Orsi; Cinelli, Milton José; Ramirez, Alejandro Rafael Garcia; Sandnes, Frode Eika (Universal Access in the Information Society;20 (2021), Journal article; Peer reviewed, 2020-02-17)
      Visually impaired individuals often rely on assistive technologies such as white canes for independent navigation. Many electronic enhancements to the traditional white cane have been proposed. However, only a few of these ...

    • Are Norwegian academic librarians ready to share usage data for learning analytics? 

      Hoel, Tore; Chen, Weiqin; Gregersen, Anne-Berit (Nordic Journal of Information Literacy in Higher Education, NORIL;10(1), Journal article; Peer reviewed, 2018)
      University libraries offer services that generate data about how students and faculty use knowledge sources and engage with teaching and learning. In an era of Big Data there is mounting pressure ...

    • Are Split Tablet Keyboards Better? A Study of Soft Keyboard Layout and Hand Posture 

      Aschim, Thomas Bekken; Gjerstad, Julie Lidahl; Lien, Lars Vidar; Tahsin, Rukaiya; Sandnes, Frode Eika (Human-Computer Interaction – INTERACT 2019;volume 11748, Chapter; Peer reviewed, 2019)
      Soft Qwerty keyboards are widely used on mobile devices such as tablets and smartphones. Research into physical keyboards have found split keyboards to be ergonomically better than ordinary physical keyboards. Consequently, ...

    • Artificial Intelligence and Mathematical Models of Power Grids Driven by Renewable Energy Sources: A Survey 

      Srinivasan, Sabarathinam; Kumarasamy, Suresh; Andreadakis, Zacharias; Lind, Pedro (Peer reviewed; Journal article, 2023)
      To face the impact of climate change in all dimensions of our society in the near future, the European Union (EU) has established an ambitious target. Until 2050, the share of renewable power shall increase up to 75% of ...

    • Artificial intelligence in dry eye disease 

      Storås, Andrea Marheim; Strumke, Inga; Riegler, Michael Alexander; Grauslund, Jakob; Hammer, Hugo Lewi; Yazidi, Anis; Halvorsen, Pål; Gundersen, Kjell Gunnar; Utheim, Tor Paaske; Jackson, Catherine Joan (The ocular surface;Volume 23, January 2022, Peer reviewed; Journal article, 2021-12-01)
      Dry eye disease (DED) has a prevalence of between 5 and 50%, depending on the diagnostic criteria used and population under study. However, it remains one of the most underdiagnosed and undertreated conditions in ophthalmology. ...

    • Artificial intelligence in the fertility clinic: status, pitfalls and possibilities 

      Riegler, Michael Alexander; Stensen, Mette Haug; Witczak, Oliwia; Andersen, Jorunn Marie; Hicks, Steven; Hammer, Hugo Lewi; Delbarre, Erwan; Halvorsen, Pål; Yazidi, Anis; Holst, Nicolai; Haugen, Trine B. (Human Reproduction;Volume 36, Issue 9, Peer reviewed; Journal article, 2021-07-29)
      In recent years, the amount of data produced in the field of assisted reproduction technology [ART] has increased exponentially. The diversity of data is large, ranging from videos to tabular data. At the same time, ...

    • Assessing cognitive mental workload via EEG signals and an ensemble deep learning classifier based on denoising autoencoders 

      Yang, Shuo; Yin, Zhong; Wang, Yagang; Zhang, Wei; Wang, Yongxiong; Zhang, Jianhua (Computers in Biology and Medicine;Volume 109, June 2019, Journal article; Peer reviewed, 2019-04-26)
      To estimate the reliability and cognitive states of operator performance in a human-machine collaborative environment, we propose a novel human mental workload (MW) recognizer based on deep learning principles and utilizing ...