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Adapting Is Difficult! Introducing a Generic Adaptive Learning Framework for Learner Modeling and Task Recommendation Based on Dynamic Bayesian Networks D - Stať ve sborníkuGNADLINGER, Florian; André SELMANAGIĆ; Katharina SIMBECK a Simone KRIGLSTEIN. Adapting Is Difficult! Introducing a Generic Adaptive Learning Framework for Learner Modeling and Task Recommendation Based on Dynamic Bayesian Networks. Online. In Jelena Jovanovic, Irene-Angelica Chounta, James Uhomoibhi and Bruce McLaren. Proceedings of the 15th International Conference on Computer Supported Education - Volume 1. Prague: SciTePress, 2023, s. 272-280. ISBN 978-989-758-641-5. Dostupné z: https://doi.org/10.5220/0011964700003470.Podrobněji: https://is.muni.cz/publication/2279697/cs
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Towards a Visual Analytics Workflow for Cybersecurity Simulations D - Stať ve sborníkuRUSŇÁK, Vít a Martin DRAŠAR. Towards a Visual Analytics Workflow for Cybersecurity Simulations. Online. In Christophe Hurter, Helen Purchase, Kadi Bouatouch. Proceedings of VISIGRAPP2023 - Volume3: IVAPP. To appear. Lisbon, Portugal: SCITEPRESS – Science and Technology Publications, Lda., 2023, s. 179-186. ISBN 978-989-758-634-7. Dostupné z: https://doi.org/10.5220/0011695000003417.Podrobněji: https://is.muni.cz/publication/2237959/cs
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Improving Cybersecurity Incident Analysis Workflow with Analytical Provenance D - Stať ve sborníkuRUSŇÁK, Vít; Lenka JANEČKOVÁ; Filip DRGOŇ; Anna-Marie DOMBAJOVÁ a Veronika KUDĚLKOVÁ. Improving Cybersecurity Incident Analysis Workflow with Analytical Provenance. Online. In Ebad Banissi, Anna Ursyn, Mark W. McK. Bannatyne, et al. 2022 26th International Conference Information Visualisation (IV). Vienna, Austria: IEEE, 2022, s. 300-306. ISBN 978-1-6654-9007-8. Dostupné z: https://doi.org/10.1109/IV56949.2022.00058.Podrobněji: https://is.muni.cz/publication/1860230/cs