• A quantitative analysis of the uncertainty in grading of written exams in mathematics and physics 

      Hammer, Hugo Lewi; Habib, Laurence (Journal article; Peer reviewed, 2016-03-05)
      The most common way to grade students in courses at university and university college level is to use final written exams. The aim of final exams is generally to provide a reliable and a valid measurement of the extent to ...
    • A Queue Model for Reliable Forecasting of Future CPU Consumption 

      Hammer, Hugo Lewi; Yazidi, Anis; Bratterud, Alfred; Haugerud, Hårek; Feng, Boning (Journal article; Peer reviewed, 2017)
      Statistical queuing models are popular to analyze a computer systems ability to process different types requests. A common strategy is to run stress tests by sending artificial requests to the system. The rate and sizes ...
    • Achieving Fair Load Balancing by Invoking a Learning Automata-based Two Time Scale Separation Paradigm 

      Yazidi, Anis; Hassan, Ismail; Hammer, Hugo Lewi; Oommen, John (IEEE Transactions on Neural Networks and Learning Systems;, Journal article; Peer reviewed, 2020-08-05)
      In this article, we consider the problem of load balancing (LB), but, unlike the approaches that have been proposed earlier, we attempt to resolve the problem in a fair manner (or rather, it would probably be more appropriate ...
    • Affect Recognition in Muscular Response Signals 

      Boeker, Matthias; Jakobsen, Petter; Riegler, Michael; Stabell, Lena Antonsen; Fasmer, Ole Bernt; Halvorsen, Pål; Hammer, Hugo Lewi (Peer reviewed; Journal article, 2023)
      This study investigated the potential of recognising arousal in motor activity collected by wrist- worn accelerometers. We hypothesise that emotional arousal emerges from the generalised central nervous system which ...
    • An inhomogeneous Hidden Markov model for efficient virtual machine placement in a cloud computing enviroment 

      Hammer, Hugo Lewi; Yazidi, Anis; Begnum, Kyrre (Journal article; Peer reviewed; Journal article, 2016-09-19)
      In a cloud environment virtual machines are created with different purposes like providing users with computers, handling web traffic etc. A virtual machine is created in such a way that a user will not notice any ...
    • Analysis of Optical Brain Signals Using Connectivity Graph Networks 

      Pinto-Orellana, Marco Antonio; Hammer, Hugo Lewi (Lecture Notes in Computer Science;Volume 12279, Conference object, 2020-08-18)
      Graph network analysis (GNA) showed a remarkable role for understanding brain functions, but its application is mainly nar-rowed to fMRI research. Connectivity analysis (CA) is introduced as a signal-to-graph mapping in a ...
    • “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 ...
    • 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 ...
    • 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, ...
    • Associations Between Immigration-Related User Factors and eHealth Activities for Self-Care: Case of First-Generation Immigrants From Pakistan in the Oslo Area, Norway 

      Tatara, Naoe; Hammer, Hugo Lewi; Mirkovic, Jelena; Kjøllesdal, Marte Karoline Råberg; Andreassen, Hege Kristin (JMIR Public Health and Surveillance;Vol 5, No 3 (2019): Jul-Sep, Journal article; Peer reviewed, 2019-07-28)
      Background: Immigrant populations are often disproportionally affected by chronic diseases, such as type 2 diabetes mellitus (T2DM). Use of information and communication technology (ICT) is one promising approach for better ...
    • Automatic Detection of Hateful Comments in Online Discussion 

      Hammer, Hugo Lewi (Peer reviewed; Journal article, 2016)
      Making violent threats towards minorities like immigrants or homosexuals is increasingly common on the Internet. We present a method to automatically detect threats of violence using machine learn- ing. A material of ...
    • Automatic detection of hateful comments in online discussion 

      Hammer, Hugo Lewi (Journal article; Peer reviewed, 2017)
      Making violent threats towards minorities like immigrants or homosexuals is increasingly common on the Internet. We present a method to automatically detect threats of violence using machine learning. A material of 24,840 ...
    • Automatic security classification by machine learning for cross-domain information exchange 

      Hammer, Hugo Lewi; Kongsgård, Kyrre Wahl; Yazidi, Anis; Bai, Aleksander; Nordbotten, Nils Agne; Engelstad, Paal E. (MILCOM IEEE Military Communications Conference;, Journal article; Peer reviewed, 2015)
      Cross-domain information exchange is necessary to obtain information superiority in the military domain, and should be based on assigning appropriate security labels to the information objects. Most of the data found ...
    • Automatic Unsupervised Clustering of Videos of the Intracytoplasmic Sperm Injection (ICSI) Procedure 

      Storås, Andrea; Riegler, Michael Alexander; Haugen, Trine B.; Thambawita, Vajira L B; Hicks, Steven Alexander; Hammer, Hugo Lewi; Kakulavarapu, Radhika; Halvorsen, Pål; Stensen, Mette Haug (Chapter; Conference object, 2023)
      The in vitro fertilization procedure called intracytoplasmic sperm injection can be used to help fertilize an egg by injecting a single sperm cell directly into the cytoplasm of the egg. In order to evaluate, refine and ...
    • Balanced difficulty task finder: an adaptive recommendation method for learning tasks based on the concept of state of flow 

      Yazidi, Anis; Abolpour Mofrad, Asieh; Goodwin, Morten; Hammer, Hugo Lewi; Arntzen, Erik (Cognitive Neurodynamics;14, Journal article; Peer reviewed, 2020-08-27)
      An adaptive task difficulty assignment method which we reckon as balanced difficulty task finder (BDTF) is proposed in this paper. The aim is to recommend tasks to a learner using a trade-off between skills of the learner and ...
    • Bayesian lithology/fluid inversion - comparison of two algorithms 

      Ulvmoen, Marit; Hammer, Hugo Lewi (Computational Geosciences;14(2), Journal article; Peer reviewed, 2010)
      Algorithms for inversion of seismic prestack AVO data into lithology-fluid classes in a vertical profile are evaluated. The inversion is defined in a Bayesian setting where the prior model for the lithology-fluid classes ...
    • Building domain specific sentiment lexicons combining information from many sentiment lexicons and a domain specific corpus 

      Hammer, Hugo Lewi; Yazidi, Anis; Bai, Aleksander; Engelstad, Paal E. (Computer Science and Its Applications: 5th IFIP TC 5 International Conference, CIIA 2015, Saida, Algeria, May 20-21, 2015, Proceedings;, Peer reviewed; Chapter, 2015)
      Most approaches to sentiment analysis requires a sentiment lexicon in order to automatically predict sentiment or opinion in a text. The lexicon is generated by selecting words and assigning scores to the words, and the ...
    • Comparison of Two Ventilation Control Strategies in the First Passive House Standard Norwegian School 

      Cablé, Axel; Hammer, Hugo Lewi; Mysen, Mads (Journal article; Peer reviewed; Journal article, 2016-03-29)
      The perceived indoor climate resulting from two ventilation control strategies was evaluated in a classroom of the first school built according to the Norwegian passive house standard. Both strategies consisted of varying ...