• Absence and Presence of Faces in Videos during the COVID19 Lockdown 

      Sandnes, Frode Eika (DSAI: Development and Technologies for Enhancing Accessibility and Fighting Info-exclusion;DSAI 2020 - The 9th International Conference on Software Development and Technologies for Enhancing Accessibility and Fighting Info-exclusion, Conference object, 2021-12-02)
      The COVID-19 outbreak forced the educators to deploy digital online learning giving rise to a range of new situations. The phenomenon of undergraduate students not activating their cameras during video lectures has been ...
    • 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 ...
    • Concept drift detection using online histogram-based bayesian classifiers 

      Astudillo, César A.; Gonzalez, Javier I.; Oommen, John; Yazidi, Anis (Lecture Notes in Computer Science;9992, Journal article; Peer reviewed, 2016)
      In this paper, we present a novel algorithm that performs online histogram-based classification, i.e., specifically designed for the case when the data is dynamic and its distribution is non-stationary. Our method, called ...