Δημοσιεύσεις

@inproceedings{Tsiafakietal2025b,

title = {Ηχοτοπία από το παρελθόν της Αθήνας και της Ξάνθης για τον σύγχρονο επισκέπτη [Soundscapes from the past of Athens and Xanthi for the modern-day visitor]},

author = {Despoina Tsiafaki and Natasa Michailidou and Meliana Karta and Yannis Ioannidis and Akrivi Katifori and Lori Kougioumtzian and Georgia Koutiva and Maria Boile and Katerina Servi and Anastasia Vasileiou},

url = {https://www.euromed-dch.eu/wp-content/uploads/2025/02/%CE%A0%CF%81%CE%B1%CE%BA%CF%84%CE%B9%CE%BA%CE%AC-EuroMed-2023.pdf},

year  = {2025},

date = {2025-02-03},

urldate = {2025-02-03},

booktitle = {5o Πανελλήνιο Συνέδριο Ψηφιοποίησης Πολιτιστικής Κληρονομιάς - EUROMED},

pages = { 406–416},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Katiforietal2024,

title = {"It’s Not Fair!”-Exploring Game Master Unfairness in Tabletop Role Playing Games},

author = {Akrivi Katifori and Dimitra Petousi and Pantelis Sakelariadis and Yannis Ioannidis },

url = {https://dl.acm.org/doi/abs/10.1145/3649921.3650008},

year  = {2024},

date = {2024-05-01},

booktitle = {Proceedings of the 19th International Conference on the Foundations of Digital Games},

pages = {1-9},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{nokey,

title = {Agent-Based Simulation of Crowd Movements in Uneven Terrains: archaeological case studies},

author = {Chairi Kiourt and Vasileios Evangelidis and Dimitris Grigoropoulos },

year  = {2024},

date = {2024-11-15},

booktitle = {Arcaeo-Infromatics: Use and Challenges of AI in Archaeology},

address = {Ankara, Turkey},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{evangelidis_2024_11174935,

title = {AI-Enabled Art Education: Unleashing Creative  Potential and Exploring Co-Creation Frontiers},

author = {Vasileios Evangelidis and Helena G Theodoropoulou and Vassilis Katsouros and Chairi Kiourt},

doi = {10.5220/0012747300003693},

year  = {2024},

date = {2024-05-01},

urldate = {2024-05-01},

booktitle = {Proceedings of the 16th International Conference on Computer Supported Education},

volume = {2},

pages = {294–301},

abstract = {This paper explores the intersection of AI technology and art education with the goal of unleashing creative potential and delving into co-creation frontiers within culturally diverse societies. Emphasizing the significance of arts in fostering social inclusion and embracing cultural diversity, the paper outlines the transformative role of AI in enhancing creativity and collaborative processes within education. The envisioned ecosystem, integrating AI-assisted co-creation tools, storytelling development, and digital display boards, proposes a comprehensive framework for revolutionizing art education. The paper places a strong emphasis on ethical considerations and technical robustness, delineating key challenges and foundational components for successful implementation. Envisioned as a versatile platform designed for diverse educational settings, from primary to higher education and non-formal contexts, the initiative aims to foster cultural diversity, social inclusion, and tolerance . Simultaneously, it seeks to promote lifelong learning and collaboration on a global scale.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{nokey,

title = {AI4EDU: An innovative conversational AI assistant for teaching and learning},

author = {Anna Vacalopoulou and Viktor Gardelli and Theodoros Karafyllidis and Foteini Liwicki and Hamam Mokayed and Marios Papaevripidou and Georgios Paraskevopoulos and Spyridoula Stamouli and Athanasios Katsamanis and Vassilis Katsouros},

url = {https://library.iated.org/view/VACALOPOULOU2024AI4},

doi = {10.21125/inted.2024.1877},

isbn = {978-84-09-59215-9},

year  = {2024},

date = {2024-03-12},

urldate = {2024-03-12},

booktitle = {INTED2024 Proceedings},

pages = {7119-7127},

publisher = {IATED},

abstract = {Artificial intelligence (AI) is transforming education by introducing innovative tools and approaches to enhance teaching and learning. Chatbots like Dawebot and TA-bot serve as intelligent student assistants, providing interactive quizzes, immediate feedback, and personalized support. AI-based systems like Rexy and Kwame offer personalized learning experiences, adapting to individual student needs and enhancing self-regulated learning. Chatbots and AI-based systems can address educational challenges in resource-constrained settings, providing scalable and cost-effective learning solutions. More specifically, Generative AI technologies, like the Large Language Model-based ChatGPT, with their advanced language capabilities, promise enriched and interactive real-time learning through natural conversation. These advancements demonstrate the potential of AI to revolutionize education, making it more personalized, accessible, and effective for all learners. Some typical ways in which this potential is demonstrated is the ability to quickly answer questions, provide explanations according to preset criteria, and suggest additional teaching and learning resources.

The Conversational AI assistant for teaching and learning (AI4EDU) project aims to improve school education by exploring and implementing new approaches, technologies, and applications of AI in Education. It seeks to create new, innovative, adaptable, personalized, engaging, and effective ways of teaching and learning, in view of the growing challenges brought on by the digital transformation of education. This paper describes the design and development of a student-facing AI platform to enhance, personalize, and facilitate learning, empower teachers, and support teaching and assessment objectives, increase knowledge and understanding of AI among students and teachers to understand how AI applications work, their potential, and their limitations. A key feature of this endeavor is the incorporation of Large Language Models (LLMs) like ChatGPT. Incorporating LLMs into educational environments poses challenges like restricted personalization, the risk of misinformation, and excessive dependence on technology. In order to combine LLMs with textbooks and other educational resources currently used in schools, AI4EDU tackles these issues by employing Retrieval Augmented Generation (RAG) and a conversational AI model for interacting with students and teachers through natural language understanding. Key aspects include ethical considerations, content reliability, and a balance between AI assistance and human interaction. The project seeks to transform education by delivering personalized, adaptive, and captivating learning experiences for both students and teachers.

To combine all these into a flexible, personalized, engaging, and effective educational platform, AI4EDU develops two different tools that accommodate the needs of both students and teachers. These tools are Study Buddy, a conversational AI assistant to help students with a wide range of learning activities, and Teacher Mate, a dashboard and chatbot that also incorporates AI-powered technologies and assists teachers in organizing the teaching process, preparing materials and tests, evaluating students, tracking their progress, and more. Both tools incorporate educational resources from four EU countries (Cyprus, Greece, Ireland, Sweden) and are offered in three European languages (Greek, Irish, Swedish).},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{banou_2024_12155504,

title = {An onboard tourist experience over the sunken city of Epidaurus, Greece},

author = {Eleni Banou and Ioanna Antoniou-Kritikou and Efthymia Akrivopoulou and Nadia Economou and Akrivi Katifori and Yannis Ioannidis and Katerina Servi and Myrto Koukouli},

editor = {A. Kavoura and T. Borges-Tiago and F. Tiago},

doi = {10.1007/978-3-031-51038-0_109},

year  = {2024},

date = {2024-06-01},

urldate = {2024-06-01},

booktitle = {Strategic Innovative Marketing and Tourism. ICSIMAT 2023. Springer Proceedings in Business and Economics},

pages = {1015–1024},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{ciaperoni2024beam,

title = {Beam-search SIEVE for low-memory speech recognition},

author = {Martino Ciaperoni and Athanasios Katsamanis and Aristides Gionis and Panagiotis Karras},

url = {https://www.isca-archive.org/interspeech_2024/ciaperoni24_interspeech.pdf},

doi = {10.21437/Interspeech.2024-2457},

year  = {2024},

date = {2024-10-01},

booktitle = {Proc. Interspeech 2024},

pages = {272--276},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{nokey,

title = {Classical Guitar Duet Separation using GuitarDuets: A Dataset of Real and Synthesized Guitar Recordings},

author = {M. Glytsos and Christos Garoufis and Nancy Zlatintsi and Petros Maragos },

year  = {2024},

date = {2024-11-30},

booktitle = {Proceedings of the 25th conference of the International Society for Music Information Retrieval (ISMIR)},

address = {San Francisco, CA, USA},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Rhemetal2024,

title = {Common European Language Data Space},

author = {Georg Rehm and Stelios Piperidis and Khalid Choukri and Andrejs Vasiļjevs and Katrin Marheinecke and Victoria Arranz and Aivars Bērziņš and Miltos Deligiannis and Dimitris Galanis and Maria Gavriilidou and Maria Giagkou and Katerina Gkirtzou and Dimitris Gkoumas and Annika Grützner-Zahn and Athanasia Kolovou and Penny Labropoulou and Andis Lagzdiņš and Elena Leitner and Valérie Mapelli and Hélène Mazo and Simon Ostermann and Stefania Racioppa and Mickaël Rigault and Leon Voukoutis},

url = {https://aclanthology.org/2024.lrec-main.317.pdf},

year  = {2024},

date = {2024-05-02},

urldate = {2024-05-02},

booktitle = {Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)},

pages = {3579-3586},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{rehm-etal-2024-common,

title = {Common European Language Data Space},

author = {Georg Rehm and Stelios Piperidis and Khalid Choukri and Andrejs Vasiļjevs and Katrin Marheinecke and Victoria Arranz and Aivars Bērziņš and Miltos Deligiannis and Dimitrios Galanis and Maria Giagkou and Katerina Gkirtzou and Dimitris Gkoumas and Annika Grützner-Zahn and Athanasia Kolovou and Penny Labropoulou and Andis Lagzdiņš and Elen Leitner and Valérie Mapelli and Hélène Mazo and Simon Ostermann and Stefania Racioppa and Mickaël Rigault and Leon Voukoutis },

editor = {Calzolari, Nicoletta and Kan, Min-Yen and Hoste, Veronique and Lenci, Alessandro and Sakti, Sakriani and Xue, Nianwen},

url = {https://aclanthology.org/2024.lrec-main.317.pdf},

year  = {2024},

date = {2024-05-01},

urldate = {2024-05-01},

booktitle = {Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)},

pages = {3579–3586},

publisher = {Torino, Italia},

address = {2024},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{nokey,

title = {Comparing Physics-based Hand Interaction in Virtual Reality: Custom Soft Body Simulation vs. Off-the-Shelf Integrated Solution},

author = {Christos Lougiakis and Jorge Juan González and Giorgos Ganias and Akrivi Katifori and Ioannis Panagiotis Ioannidis and Maria Roussou },

doi = {10.1109/VR58804.2024.00094},

year  = {2024},

date = {2024-09-01},

urldate = {2024-09-01},

booktitle = {IEEE Conference Virtual Reality and 3D User Interfaces (VR)},

pages = {743-753},

address = {Orlando, FL, USA},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{dimakis2024dictionary,

title = {Dictionary-Aided Translation for Handling Multi-Word Expressions in Low-Resource Languages},

author = {Antonios Dimakis and Stella Markantonatou and Antonios Anastasopoulos},

url = {https://aclanthology.org/2024.findings-acl.152.pdf},

year  = {2024},

date = {2024-10-01},

booktitle = {Findings of the Association for Computational Linguistics ACL 2024},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Vacalopoulou2024,

title = {Digging for -ings: a survey of selected (pseudo)anglicisms in dictionaries of modern Greek},

author = {Anna Vacalopoulou},

url = {https://www.afrilex.co.za/conferences},

isbn = { 978-0-7961-8474-0},

year  = {2024},

date = {2024-07-04},

booktitle = {Abstract Booklet},

pages = {73-74},

publisher = {AFRILEX, African Association for Lexicography},

abstract = {One of the many ways for a language’s vocabulary to extend through neology is through lexical borrowing. A very specific type of this phenomenon is the anglicism, which is created when a language borrows a word or phrase from the English language and incorporates it into its vocabulary. This process can be reflected at various levels in the borrowing language, such as its phonology, morphology, grammar, or vocabulary. For historical reasons, the prominence of the English language has caused anglicisms to be the most widely spread lexical items that are borrowed at a global level. This trend has been further enhanced by the introduction of vocabulary from terms related to international business, as well as new technologies, most notably computers and the internet, as these are originally coined in English and very quickly make their way into foreign lexicons. For these reasons, among others, English is also the most popular foreign language to learn, which makes anglicisms spread more easily. In some cases, these items are adopted verbatim in the new languages, usually when these languages share the same alphabet as English, that is, Latin. In the case of languages such as Greek, that use a different alphabet, these items normally follow a process of transliteration or other types of anglicization that help words and phrases assimilate into the new language. In some cases, the influence of English is so prominent that cases of pseudoanglicism also occur, resulting in lexical items that appear to be English because of their form but, in fact, are not. This paper explores the inclusion and treatment of a special category of anglicisms and pseudoanglicisms as they occur in dictionaries of modern Greek. This category consists of nouns ending with -ing, a suffix that corresponds to the present participle and gerund of a verb, which is typical of English morphology and has been incorporated in other languages through the process of borrowing. The methodology is based on a selection of five Greek dictionaries available online: HLNG, LKN, MILNEG, SLANG.gr, and Wiktionary. These are compared with each other in terms of their macrostructure to find out how inclusive they are in their treatment of this phenomenon. Dictionaries that are available exclusively on paper were not considered taking space constraints into account. The decisive criterion for this selection was that the dictionaries are currently in use. Among the selected dictionaries, three are the products of professional lexicographers, while the other two are works of crowdsourcing. At the second stage of the process, the resulting entries are examined in terms of their orthography and cross-checked against a corpus of modern Greek (elTenTen19) to test whether their treatment reflects actual language use according to the data. Then, moving further into the lexicographic microstructure, the possible existence of Greek equivalents is researched in all five dictionaries. These findings are also cross-checked against the corpus for frequency to see which of the existing alternatives native users of Greek tend to use and which are possibly more alien to them. Finally, the list of lexical items in the findings is explored as to which domain or semantic field they belong to as well as their register, style, and attitude; this exploration aims to unveil possible trends in their coinage and usage.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Zarrisetal2024,

title = {Enhancing educational paradigms with large language models: from teacher to study assistants in personalized learning},

author = {Dimitrios Zarris and Stergios Sozos and Foteini Liwicki and Viktor Gardelli and Theodoros Karafyllidis and Spyridoula Stamouli and Marios Papaevripidou and Anna Vacalopoulou and Georgios Paraskevopoulos and Athanasios Katsamanis and Vassilis Katsouros and Marcus Liwicki and Hamam Mokayed

},

doi = {10.21125/edulearn.2024.0435},

isbn = {978-84-09-62938-1},

year  = {2024},

date = {2024-07-21},

urldate = {2024-07-21},

booktitle = {16th International Conference on Education and New Learning Technologies, EDULEARN24 Proceedings},

pages = {1295-1303},

publisher = {IATED},

address = {Palma, Spain},

abstract = {This paper investigates the application of large language models (LLMs) in the educational field, specifically focusing on roles like "Teacher Assistant" and "Study Assistant" to enhance personalized and adaptive learning. The significance of integrating AI in educational frameworks is underscored, given the shift towards AI-powered educational tools. The methodology of this research is structured and multifaceted, examining the dynamics between prompt engineering, methodological approaches, and LLM outputs with the help of indexed documents. The study bifurcates its approach into prompt structuring and advanced prompt engineering techniques. Initial investigations revolve around persona and template prompts to evaluate their individual and collective effects on LLM outputs. Advanced techniques, including few-shot and chain-of-thought prompting, are analyzed for their potential to elevate the quality and specificity of LLM responses. The "Study Assistant" aspect of the study involves applying these techniques to educational content across disciplines such as biology, mathematics, and physics. Findings from this research are poised to contribute significantly to the evolution of AI in education, offering insights into the variables that enhance LLM performance. This paper not only enriches the academic discourse on LLMs but also provides actionable insights for the development of sophisticated AI-based educational tools. As the educational landscape continues to evolve, this research underscores the imperative for continuous exploration and refinement in the application of AI to fully realize its benefits in education.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{roussis2024enhancing,

title = {Enhancing Scientific Discourse: Machine Translation for the Scientific Domain},

author = {Dimitrios Roussis and Sokratis Sofianopoulos and Stelios Piperidis},

url = {https://aclanthology.org/2024.eamt-1.23.pdf},

year  = {2024},

date = {2024-06-01},

urldate = {2024-06-01},

booktitle = {Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1)},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Alexiouetal_2024,

title = {ERIS: Issues in using HurtLex to develop a lexical resource for Modern Greek offensive language detection},

author = { Iakovi Alexiou and Georgia Apostolopoulou and Vana Archonti and Antonis Balas and Eleni Koutli and Maria Panagiotopoulou and Vivian Stamou and Stella Markantonatou },

url = {https://ins.web.auth.gr/images/MEG_PLIRI/MEG_43_27_34.pdf},

doi = {10.5281/ZENODO.8315018},

year  = {2024},

date = {2024-01-01},

urldate = {2024-01-01},

booktitle = {Studies in Greek Linguistics 43, Proceedings of the 43rd Annual Meeting of the Department of Linguistics},

pages = {27-34},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{rehm2024european,

title = {European Language Grid: One Year After},

author = {Georg Rehm and Stelios Piperidis and Dimitris Galanis and Penny Labropoulou and Maria Giagkou and Miltos Deligiannis and Leon Voukoutis and Martin Courtois and Julian Moreno Schneider and Katrin Marheinecke},

url = {https://aclanthology.org/2024.lrec-main.562.pdf},

year  = {2024},

date = {2024-05-01},

urldate = {2024-05-01},

booktitle = {Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)},

pages = {6353-6362},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{casacuberta2024findings,

title = {Findings of a Machine Translation Shared Task Focused on Covid-19 Related Documents},

author = {Francisco Casacuberta and Alexandru Ceausu and Khalid Choukri and Miltos Deligiannis and Miguel Domingo and Mercedes García-Martínez and Manuel Herranz and Guillaume Jacquet and Vassilis Papavassiliou and Stelios Piperidis and Prokopidis Prokopis and Dimitrios Roussis and Marwa Hadj Salah},

url = {https://besaya.infor.uva.es/sepln24/paper03.pdf},

year  = {2024},

date = {2024-05-24},

urldate = {2024-05-24},

booktitle = {40th Conference of the Spanish Society for Natural Language Processing (SEPLN-2024)},

address = {Valladolid, Spain},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{kouletou2024investigating,

title = {Investigating Neural Networks and Transformer Models for Enhanced Comic Decoding},

author = {Eleanna Kouletou and Vassilis Papavassiliou and Vassilis Katsouros},

url = {https://link.springer.com/chapter/10.1007/978-3-031-70645-5_10},

year  = {2024},

date = {2024-10-01},

booktitle = {International Conference on Document Analysis and Recognition},

pages = {138-153},

publisher = {Springer},

address = {Cham},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{plitsis2024investigating,

title = {Investigating personalization methods in text to music generation},

author = {Manos Plitsis and Theodoros Kouzelis and Georgios Paraskevopoulos and Vassilis Katsouros and Yannis Panagakis},

url = {https://ieeexplore.ieee.org/iel7/10445798/10445803/10446869.pdf},

year  = {2024},

date = {2024-10-01},

urldate = {2024-10-01},

booktitle = {ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},

pages = {1081--1085},

organization = {2024},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{gavriilidou2024investigating,

title = {Investigating Political Ideologies through the Greek ParlaMint corpus},

author = {Maria Gavriilidou and Dimitris Gkoumas and Stelios Piperidis and Prokopidis Prokopis },

url = {https://aclanthology.org/2024.parlaclarin-1.17.pdf},

year  = {2024},

date = {2024-10-01},

urldate = {2024-10-01},

booktitle = {Proceedings of the IV Workshop on Creating, Analysing, and Increasing Accessibility of Parliamentary Corpora (ParlaCLARIN) @ LREC-COLING 2024},

pages = {116--120},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Chlapanisetal2024,

title = {LAR-ECHR: A New Legal Argument Reasoning Task and Dataset for Cases of the European Court of Human Rights},

author = {Odysseas Chlapanis and Dimitris Galanis and Ion Androutsopoulos},

url = {https://aclanthology.org/2024.nllp-1.22/},

doi = {10.18653/v1/2024.nllp-1.22},

year  = {2024},

date = {2024-11-01},

booktitle = {Proceedings of the Natural Legal Language Processing Workshop 2024},

pages = {267–279},

publisher = {ACL},

address = {Miami, FL, USA},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{kotitsas2024leveraging,

title = {Leveraging fine-tuned Large Language Models with LoRA for Effective Claim, Claimer, and Claim Object Detection},

author = {Sotiris Kotitsas and Panagiotis Kounoudis and Eleni Koutli and Harris Papageorgiou },

url = {https://aclanthology.org/2024.eacl-long.156.pdf},

year  = {2024},

date = {2024-10-01},

urldate = {2024-10-01},

booktitle = {Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)},

pages = {2540--2554},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}