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X-WR-CALDESC:Events for Human-Computer Interaction & Visual Analytics Reasearch Department (vis) at Darmstadt University of Applied Sciences (h_da)
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DTSTART;VALUE=DATE:20240723
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SUMMARY:International Conference Information Visualisation (IV2024)
DESCRIPTION:IV2024 – 28th International Conference Information Visualisation \n23-26 July 2024 \n Coimbra University ● Portugal \nhttps://www.graphicslink.co.uk/IV2024/index.htm \n  \nCall for Papers\, Poster\, Videos\, and Participation \n  \nTheme and scope are planned as a series of symposia with details\, and further information is available at IV2024: https://iv.csites.fct.unl.pt/fi/symposia/ \nSubmission Porta: https://www.conftool.org/IV-cgiv-2024/ \nPublication:  https://iv.csites.fct.unl.pt/fi/call-for-papers/publication/ \n  \nVisual Analytics is the science of analytical reasoning empowered by interactive visualizations. The research on Visual Analytics is closely related to that of Data Science. Both areas seek to enhance knowledge discovery using machine learning\, data mining\, and artificial intelligence methods. In contrast\, Visual Analytics commonly allows direct manipulation of the underlying models through graphical representations. By leveraging human perception of the visual space\, patterns that might not otherwise be discovered emerge. Visual Analytics utilizes concepts from various disciplines\, including computer graphics\, information visualization\, machine learning\, artificial intelligence\, knowledge discovery\, cognition\, and visual perception. \nThe topics of interest include but are not limited to: \n\nCombining visual and computational methods of Data Analysis\, Machine Learning\, and Artificial Intelligence\nVisual Analytics models and approaches\nNovel Visual Analytics applications\nVisual Trend Analytics\nVisual Analytics\, geo-visualization\, and geographical visualization of spatial\, temporal\, and Spatio-temporal data\nVisualization support for multi-criteria decision analysis related to multivariate and spatial data\nKnowledge construction and management in Visual Analytics\nGuidance in Visual Analytics\nIntelligent approaches of Visual Analytics and Data Science\nAdaptive Visual Analytics\n\nIntegrative visual analytics and artificial intelligence systems and approaches \n\n\nAI and visual analytics to support decision-making \n\n\nTechniques and methods in explainable AI \n\n\nVisual analytic solutions for handling big data challenges \n\nHCI issues of geographical and Spatio-temporal visual analytics\nCognitive approaches and explanations for Visual Analytics\nVisual Analytics for explaining AI\nVisualization of Data Mining algorithms\nEmpirical performance studies\nEvaluation of Visual Data Mining methods\nCollaborative Visual Analytics and Data Science\nComputational steering for long-running Data Mining applications\nReviews and surveys of related literature\n\n  \nPreconference course:     Doctoral Research Workshop \nResearcher Link Forum:   Research Project Collaboration \nFocus Group Publication: Post-conference publication \n  \n——————————————————————————- \nImportant Dates – https://iv.csites.fct.unl.pt/fi/call-for-papers/important-dates/ \nSubmission Portal: https://www.conftool.org/IV-cgiv-2024/ \n========= =================================== \nGeneral Co-Chairs:\nEbad Banissi (Em Prof. Dr)\, LSBU\, UK\nDr Evgheni Polisciuc\, Coimbra University\, Portugal \n\nSymposium General Co-Chairs:\nKawa Nazemi (Prof.)\, Darmstadt University of Applied Sciences\, Germany – Visual Analytics and Data Science\nBoris Kovalerchuk (Prof.)\, University of Central Washington\, USA – AI and Visual Knowledge Discovery\nUrska Cvek (Prof.)\, Louisiana State University\, USA – Visualization and Artificial Intelligence for Medicine\, Healthcare\nAnna Ursyn (Prof.)\, University of Northern Colorado\, USA – Digital Art and Gallery
URL:https://vis.h-da.de/events/international-conference-information-visualisation-iv2024
LOCATION:Private: Coimbra University\, 3004-531\, Coimbra\, Portugal
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