63 citations · 76 across the 12 of their papers we have counts for
6 papers · 1 filter
AI4EF: Artificial Intelligence for Energy Efficiency in the Building Sector
Alexandros Menelaos Tzortzis, Georgios Kormpakis, Sotiris Pelekis +4
AI4EF, Artificial Intelligence for Energy Efficiency, is an advanced, user-centric tool designed to support decision-making in building energy retrofitting and efficiency optimizat…
Convolutional Neural Networks and Mixture of Experts for Intrusion Detection in 5G Networks and beyond
Loukas Ilias, George Doukas, Vangelis Lamprou +2
The advent of 6G/NextG networks comes along with a series of benefits, including extreme capacity, reliability, and efficiency. However, these networks may become vulnerable to new…
Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework
Sotiris Pelekis, Evangelos Karakolis, George Lampropoulos +4
The present study aims to evaluate the current fuzzy landscape of Trustworthy AI (TAI) within the European Union (EU), with a specific focus on the energy sector. The analysis enco…
A Graph Neural Architecture Search Approach for Identifying Bots in Social Media
Georgios Tzoumanekas, Michail Chatzianastasis, Loukas Ilias +3
Social media platforms, including X, Facebook, and Instagram, host millions of daily users, giving rise to bots-automated programs disseminating misinformation and ideologies with…
A multi-dimensional unsupervised machine learning framework for clustering residential heat load profiles
Vasilis Michalakopoulos, Elissaios Sarmas, Viktor Daropoulos +4
Central to achieving the energy transition, heating systems provide essential space heating and hot water in residential and industrial environments. A major challenge lies in effe…
Depression detection in social media posts using transformer-based models and auxiliary features
Marios Kerasiotis, Loukas Ilias, Dimitris Askounis
The detection of depression in social media posts is crucial due to the increasing prevalence of mental health issues. Traditional machine learning algorithms often fail to capture…