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Visual Analytics Tools for the Study of Complex Problems in Engineering and Biomedicine

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Artificial Intelligence Applications and Innovations. AIAI 2023 IFIP WG 12.5 International Workshops (AIAI 2023)

Part of the book series: IFIP Advances in Information and Communication Technology ((IFIPAICT,volume 677))

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Abstract

In this article, we present the main lines of an ongoing research project funded by the Spanish government. The project proposes research on visual analytics techniques for solving complex problems in engineering and biomedicine. We outline the characteristics of complex problems that make it difficult for machine learning approaches to tackle them. Next, we present the benefits of solutions that exploit the synergy between machine learning and data visualization through interactive mechanisms for solving such problems. Finally, we briefly present the approaches being worked on in this project to achieve the objectives and the results achieved so far. We hope that these ideas and approaches will serve as inspiration for other projects or applications in the field.

This work was supported by the Ministerio de Ciencia e Innovación / Agencia Estatal de Investigación (MCIN/AEI/ 10.13039/501100011033) grant [PID2020-115401GB-I00].

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Author information

Authors and Affiliations

  1. Department of Electrical Engineering, University of Oviedo, Edificio Torres Quevedo, módulo 2, Campus de Gijón, Oviedo, 33204, Spain

    Ignacio Díaz, José M. Enguita, Abel A. Cuadrado, Diego García & Ana González

Authors
  1. Ignacio Díaz
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  2. José M. Enguita
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  3. Abel A. Cuadrado
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  4. Diego García
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  5. Ana González
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Corresponding author

Correspondence to Ignacio Díaz .

Editor information

Editors and Affiliations

  1. University of Piraeus, Piraeus, Greece

    Ilias Maglogiannis

  2. Democritus University of Thrace, Xanthi, Greece

    Lazaros Iliadis

  3. Democritus University of Thrace, Xanthi, Greece

    Antonios Papaleonidas

  4. Hellenic Telecom Organization OTE, Athens, Greece

    Ioannis Chochliouros

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Díaz, I., Enguita, J.M., Cuadrado, A.A., García, D., González, A. (2023). Visual Analytics Tools for the Study of Complex Problems in Engineering and Biomedicine. In: Maglogiannis, I., Iliadis, L., Papaleonidas, A., Chochliouros, I. (eds) Artificial Intelligence Applications and Innovations. AIAI 2023 IFIP WG 12.5 International Workshops. AIAI 2023. IFIP Advances in Information and Communication Technology, vol 677. Springer, Cham. https://doi.org/10.1007/978-3-031-34171-7_36

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  • DOI: https://doi.org/10.1007/978-3-031-34171-7_36

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-34170-0

  • Online ISBN: 978-3-031-34171-7

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