Development of a platform for the exchange of biodatasets with integrated opportunities for artificial intelligence using MatLab
- This paper deals with the issue of automating the process of machine learning and analyzing bio-datasets. For this a user-friendly website has been developed for the interaction with the researchers. On this website it is possible to upload datasets and to share them, if desired, with other scientists. The uploaded data can also be analyzed by various methods and functions. The signals inside these datasets can also be visualized. Furthermore several algorithms have been implemented to create machine learning models with the uploaded data. Based on these generated models new data can be classified or calculated. For all these applications the simplest possible handling was implemented to make the website available to all interested researchers.
Author: | Christian Wansing, Oresti Banos, Hector Pomares, Peter Glösekötter, Ignacio Rojas Ruiz |
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DOI: | https://doi.org/10.1109/ICoCS.2015.7483278 |
Editor: | Conference Paper Junta de Andalucia Project P12-TIC-2082. |
Document Type: | Conference Proceeding |
Language: | German |
Date of Publication (online): | 2021/02/12 |
Year of first Publication: | 2015 |
Provider of the Publication Server: | FH Münster - University of Applied Sciences |
Release Date: | 2021/02/12 |
Tag: | M-health, machine learning, website |
First Page: | 1 |
Last Page: | 6 |
Faculties: | Elektrotechnik und Informatik (ETI) |
Publication list: | Glösekötter, Peter |
Licence (German): | Bibliographische Daten |