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      University of Skövde, link to startpage

      Tove Helldin

      Senior Lecturer in Informatics
      School of Informatics
      Room PA520M

      Research

      2023

      H. Joe Steinhauer, Tove Helldin, Gunnar Mathiason, Alexander Karlsson

      Journal of Ambient Intelligence and Humanized Computing

      2023. Article. https://doi.org/10.1007/s12652-019-01372-5 Open Access

      2020

      Juhee Bae, Tove Helldin, Maria Riveiro, Slawomir Nowaczyk, Mohamed-Rafik Bouguelia, Göran Falkman

      ACM Computing Surveys

      2020. Article. https://doi.org/10.1145/3340960 Open Access

      David Koloseni, Tove Helldin, Vicenç Torra

      Mathematics

      2020. Article. https://doi.org/10.3390/math8050813 Open Access

      H. Joe Steinhauer, Anders Åhlén, Tove Helldin, Alexander Karlsson, Gunnar Mathiason

      International Journal of Information, Communication Technology and Applications

      2020. Article.

      2019

      Juhee Bae, Göran Falkman, Tove Helldin, Maria Riveiro

      Data science in Practice

      2019. Chapter in book. https://doi.org/10.1007/978-3-319-97556-6_8

      Tove Helldin, Juhee Bae, Anna-Sofia Alklind Taylor

      2019. Report.

      2018

      Tove Helldin, H. Joe Steinhauer, Alexander Karlsson, Gunnar Mathiason

      2018 21st International Conference on Information Fusion, FUSION 2018

      2018. Conference paper. https://doi.org/10.23919/ICIF.2018.8455529

      David Koloseni, Tove Helldin, Vicenç Torra

      Data Science and Knowledge Engineering for Sensing Decision Support: Proceedings of the 13th International FLINS Conference (FLINS 2018)

      2018. Conference paper. https://doi.org/10.1142/9789813273238_0035

      H. Joe Steinhauer, Tove Helldin, Gunnar Mathiason

      Working Papers and Documents of the IJCAI-ECAI-2018 Workshop on Learning and Reasoning: Principles & Applications to Everyday Spatial and Temporal Knowledge

      2018. Conference paper. Open Access

      H. Joe Steinhauer, Tove Helldin, Gunnar Mathiason, Alexander Karlsson

      Modeling Decisions for Artificial Intelligence, 15th International Conference, MDAI 2018, Mallorca, Spain, October 15–18, 2018

      2018. Conference paper.

      Finished projects

      STRATUS – AI for climate adaption

      This project aims to identify, adjust and implement AI methods to improve and create a more resilient drinking water production and distribution, where the operators at the drinking water plants are supported in their decision making processes.

      November 2021 - November 2023 Informatics

      miRSeps - Future diagnostics of sepsis

      This project is one of several ongoing projects within the research programme “Future diagnostics for sepsis”. The aim is to develop diagnostics that can be used earlier in cases of sepsis in order to increase the patient’s chances of survival with fewer complications.

      January 2020 - June 2023 Systems Biology

      Teamwork through Interaction with Air Systems

      The project will study design elements of future air systems that offer cognitive support for increased team effectiveness. The project will investigate how the design of complex systems can benefit from taking the teamwork perspective.

      November 2019 - February 2022 Informatics

      A smarter society through Big Data analytics

      An unprecedented growth of data, fed by novel technologies, user behaviour and business models, is one of the most dramatic and important developments in both ICT and society at large. Most of this is Big Data, characterised by vast volume, high velocity, large variety and unknown veracity. These properties pose significant challenges when collecting, managing and processing data.

      January 2015 - January 2020 Informatics

      BISON: Better decisions through Big Data

      Big data has gained much interesting in recent years due to the rapid expansion of the massive amount of data that is available for solving different types of tasks within many different application domains. However, today's big data is still on a fairly low level of abstraction when it comes to complex decision support tasks, subject to e.g. high dimensionality and significant portions of uncertainty regarding which patterns to look for in the data.

      October 2015 - September 2019 Informatics
      Published: 1/9/2020
      Edited: 1/9/2020
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