9 citations · 23 across the 7 of their papers we have counts for
7 papers
Developing Machine-Learned Potentials for Coarse-Grained Molecular Simulations: Challenges and Pitfalls
Eleonora Ricci, George Giannakopoulos, Vangelis Karkaletsis +2
Coarse graining (CG) enables the investigation of molecular properties for larger systems and at longer timescales than the ones attainable at the atomistic resolution. Machine lea…
Investigation of Machine Learning-based Coarse-Grained Mapping Schemes for Organic Molecules
Dimitris Nasikas, Eleonora Ricci, George Giannakopoulos +3
Due to the wide range of timescales that are present in macromolecular systems, hierarchical multiscale strategies are necessary for their computational study. Coarse-graining (CG)…
Tree-based Focused Web Crawling with Reinforcement Learning
Andreas Kontogiannis, Dimitrios Kelesis, Vasilis Pollatos +2
A focused crawler aims at discovering as many web pages and web sites relevant to a target topic as possible, while avoiding irrelevant ones. Reinforcement Learning (RL) has been a…
A study of text representations in Hate Speech Detection
Chrysoula Themeli, George Giannakopoulos, Nikiforos Pittaras
The pervasiveness of the Internet and social media have enabled the rapid and anonymous spread of Hate Speech content on microblogging platforms such as Twitter. Current EU and US…
Comparative Analysis of Content-based Personalized Microblog Recommendations [Experiments and Analysis]
Efi Karra Taniskidou, George Papadakis, George Giannakopoulos +1
Microblogging platforms constitute a popular means of real-time communication and information sharing. They involve such a large volume of user-generated content that their users s…
White Paper: Brief overview of current practices for open consultation
Vassilis Giannakopoulos, George Giannakopoulos
The purpose of this document is to provide a brief overview of open consultation approaches in the current, international setting and propose a role for Information Technologies (I…