10 May, 2021

SS07 – Applied Machine Learning

Scope and topics

Data are overwhelming and the research value is just to be able to capture the most important information in order to predict with a high performance and very quickly. To process the data we need to conduct a machine learning task which may include different kinds of pre-processing. This special session welcomes works concerning real-world applications where machine learning plays an important role. The scope may be concerning supervised, unsupervised or semi-supervised learning.

The topics of interest for this thematic session comprise, but are not limited to:

  • Engineering applications
  • Medical data analysis
  • Finance
  • Social sciences
  • Education
  • Science applications
  • Communication
  • Instrumentation
  • Electronic technology
  • Signal processing
  • Audio processing
  • Video processing
  • Automation
  • Networks of any type

Session Chairs

  • Antonio J. Tallón-Ballesteros, University of Huelva (Spain)
  • Ireneusz Czarnowski, Gdynia Maritime University (Poland)

Contact

Antonio J. Tallón-Ballesteros
Higher School of Engineering
University of Huelva

Campus “El Carmen”
Fuerzas Armadas AV.
21007-Huelva (Spain)

antonio.tallon.diesia@zimbra.uhu.es