Fosscomm 2022

Panagiotis Anagnostou

Mr. Panagiotis Anagnostou since December of 2019 is a Ph.D. Candidate at the Department of Computer Science and Biomedical Informatics of the University of Thessaly in Greece with subject “Design and implementation of machine learning algorithms and user interface tools at the field of biomedicine”. Previously he have received a Diploma degree in Computer Science from the University of Patras, Greece, in 2019. In his current position he has served as a Teaching assistant for the courses “Analysis and big data mining at medicine and biology” and “Computer science and computational biomedicine” of the Interdepartmental Postgraduate Program “Computer science and computational biomedicine” of the University of Thessaly’s School of Science, academic year 2019-22. Prior to that he has been a Laboratory Assistant for the course of Digital Electronics at the Department of Computer Engineering and Informatics of the University of Patras, academic year 2016-17. He has served as researcher on the research project “Advanced personalized, multi-scale computer models preventing OsteoArthritis”, funded by European Community’s H2020 Program, under grant agreement Nr. 777159, for the year 2020-2021. His research interests lie within the fields of Machine Learning, Big Data Mining and Big Data Applications.

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Sessions

11-19
18:00
30min
A Machine Learning toolbox, the road to publication.
Panagiotis Anagnostou

The focus of this presentation is to briefly show the process of developing a package for publication and the prerequisites of a peer-reviewed journal for open-source software. In the end, we will see some of the decision-making involved in the development of the package. The case study of the event is the “HiPart: Hierarchical divisive clustering toolbox” package, which includes implementations of several machine learning algorithms along with visualizations and examples (https://github.com/panagiotisanagnostou/HiPart).

Room I