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pro vyhledávání: '"Vakali A"'
Autor:
Troboukis, Thanasis, Kiki, Kelly, Galanopoulos, Antonis, Sermpezis, Pavlos, Karamanidis, Stelios, Dimitriadis, Ilias, Vakali, Athena
This chapter introduces a research project titled "Analyzing the Political Discourse: A Collaboration Between Humans and Artificial Intelligence", which was initiated in preparation for Greece's 2023 general elections. The project focused on the anal
Externí odkaz:
http://arxiv.org/abs/2410.13400
Autor:
Vakali, Athena, Tantalaki, Nicoleta
Nowadays, we delegate many of our decisions to Artificial Intelligence (AI) that acts either in solo or as a human companion in decisions made to support several sensitive domains, like healthcare, financial services and law enforcement. AI systems,
Externí odkaz:
http://arxiv.org/abs/2407.21202
Autor:
Yfantidou, Sofia, Spathis, Dimitris, Constantinides, Marios, Vakali, Athena, Quercia, Daniele, Kawsar, Fahim
Self-supervised learning (SSL) has become the de facto training paradigm of large models, where pre-training is followed by supervised fine-tuning using domain-specific data and labels. Despite demonstrating comparable performance with supervised met
Externí odkaz:
http://arxiv.org/abs/2406.02361
Autor:
Yfantidou, Sofia, Spathis, Dimitris, Constantinides, Marios, Vakali, Athena, Quercia, Daniele, Kawsar, Fahim
Self-supervised learning (SSL) has become the de facto training paradigm of large models where pre-training is followed by supervised fine-tuning using domain-specific data and labels. Hypothesizing that SSL models would learn more generic, hence les
Externí odkaz:
http://arxiv.org/abs/2401.01640
In today's connected society, self-tracking technologies (STTs), such as wearables and mobile fitness apps, empower humans to improve their health and well-being through ubiquitous physical activity monitoring, with several personal and societal bene
Externí odkaz:
http://arxiv.org/abs/2311.04705
Autor:
Yfantidou, Sofia, Constantinides, Marios, Spathis, Dimitris, Vakali, Athena, Quercia, Daniele, Kawsar, Fahim
Publikováno v:
25th International Conference on Mobile Human-Computer Interaction (MobileHCI '23 Companion), September 26--29, 2023, Athens, Greece
This paper explores the intersection of Artificial Intelligence and Machine Learning (AI/ML) fairness and mobile human-computer interaction (MobileHCI). Through a comprehensive analysis of MobileHCI proceedings published between 2017 and 2022, we fir
Externí odkaz:
http://arxiv.org/abs/2307.12075
Autor:
Sermpezis, Pavlos, Prehn, Lars, Kostoglou, Sofia, Flores, Marcel, Vakali, Athena, Aben, Emile
Network operators and researchers frequently use Internet measurement platforms (IMPs), such as RIPE Atlas, RIPE RIS, or RouteViews for, e.g., monitoring network performance, detecting routing events, topology discovery, or route optimization. To int
Externí odkaz:
http://arxiv.org/abs/2307.09958
Autor:
Dimitriadis, Ilias, Giakatos, Dimitrios P., Karamanidis, Stelios, Sermpezis, Pavlos, Kiki, Kelly, Vakali, Athena
In this paper, we study the Greek wiretappings scandal, which has been revealed in 2022 and attracted a lot of attention by press and citizens. Specifically, we propose a methodology for collecting data and analyzing patterns of online public discuss
Externí odkaz:
http://arxiv.org/abs/2307.09819
Autor:
Voulgaris, Efstratios, Dimitriadis, Ilias, Giakatos, Dimitrios P., Vakali, Athena, Papakonstantinou, Athanasios, Chatzigiannis, Dimitris
The need for a more energy efficient future is now more evident than ever and has led to the continuous growth of sectors with greater potential for energy savings, such as smart buildings, energy consumption meters, etc. The large volume of energy r
Externí odkaz:
http://arxiv.org/abs/2305.05303
Autor:
Ilias Dimitriadis, Dimitrios P. Giakatos, Stelios Karamanidis, Pavlos Sermpezis, Kelly Kiki, Athena Vakali
Publikováno v:
Journalism and Media, Vol 5, Iss 3, Pp 1348-1363 (2024)
In this paper, we study the Greek wiretappings scandal, which was revealed in 2022 and attracted significant attention from the press and citizens. Specifically, we propose a methodology for collecting data and analyzing patterns of online public dis
Externí odkaz:
https://doaj.org/article/8e39c20599d44f29970cf0136481483d
