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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
About me
About me
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Posts
Future Blog Post
Published:
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Blog Post number 4
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
publications
Search Engine Similarity Analysis: A Combined Content and Rankings Approach
Published in Web Information Systems Engineering - WISE 2020, 2020
Download here
Aspects of the History of Computing in Modern Greece
Published in IEEE Annals of the History of Computing 2018, 2021
Download here
CrossVul: a cross-language vulnerability dataset with commit data
Published in Proceedings of the 29th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE), 2021
Download here
Standing on shoulders or feet? An extended study on the usage of the MSR data papers
Published in Empirical Software Engineering (EMSE 2021), 2021
Download here
talks
Introduction to Neural Networks and Comparison of Deep Learning Frameworks
Published:
Introduction to the basics of deep learning and neural networks and an extensive theoritical and practical comparison between Keras, PyTorch and Tensorflow. Invited talk in the context of the GRNET annual HPC training.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.