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