Δημοσιεύσεις

@inproceedings{gray2025agentic,

title = {Agentic Correlates of Consciousness and the Pursuit of Artificial General Intelligence},

author = {Shannon Gray and George Tambouratzis and Sanju Mannumadam Venugopal and Sridhar Raghavan and Richard Jiarui Tong and Zeyu Han},

doi = {10.1007/978-3-032-00686-8_21},

year  = {2026},

date = {2026-01-06},

urldate = {2025-01-01},

booktitle = {International Conference on Artificial General Intelligence},

pages = {225–238},

organization = {Springer},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{10.1145/3742886.3759656,

title = {9th International Workshop on Sign Language Translation and Avatar Technology (SLTAT 2025)},

author = {Fabrizio Nunnari and Cristina Luna-Jiménez and Rosalee Wolfe and John McDonald and Michael Filhol and Eleni Efthimiou and Stavroula-Evita Fotinea and Thomas Hanke},

url = {https://doi.org/10.1145/3742886.3759656},

doi = {10.1145/3742886.3759656},

isbn = {9798400719967},

year  = {2025},

date = {2025-01-01},

booktitle = {Adjunct Proceedings of the 25th ACM International Conference on Intelligent Virtual Agents},

publisher = {Association for Computing Machinery},

address = {New York, NY, USA},

series = {IVA Adjunct '25},

abstract = {The Sign Language Translation and Avatar Technology (SLTAT) workshops continue a series of gatherings to share recent advances in improving deaf / human communication through non-invasive means. This 2025 edition, the 9th since its first appearance in 2011, is hosted by the International Conference on Intelligent Virtual Agents (IVA), giving the opportunity for contamination between two research communities, using digital humans as either virtual interpreters or as interactive conversational agents. As presented in this summary paper, SLTAT sees contributions beyond avatar technologies, with a consistent number of submissions on sign language recognition, and other work on data collection, data analysis, tools, ethics, usability, and affective computing.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{tsiatsianas2025comparative,

title = {A Comparative Study of Floating-Base Space Parameterizations for Agile Whole-Body Motion Planning},

author = {Evangelos Tsiatsianas and Chairi Kiourt and Konstantinos Chatzilygeroudis},

doi = {10.1109/Humanoids65713.2025.11203204},

year  = {2025},

date = {2025-01-01},

urldate = {2025-01-01},

booktitle = {2025 IEEE-RAS 24th International Conference on Humanoid Robots (Humanoids)},

pages = {1187–1194},

organization = {IEEE},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{kong2025unified,

title = {A Unified Framework for Cultural Heritage Data Historicity and Migration: The ARGUS Approach},

author = {Lingxiao Kong and Apostolos Sarris and Miltiadis Polidorou and Victor Klingenberg and Vasileios Sevetlidis and Vasileios Arampatzakis and George Pavlidis and Cong Yang and Zeyd Boukhers},

year  = {2025},

date = {2025-01-01},

urldate = {2025-01-01},

booktitle = {2025 IEEE International Conference on Cyber Humanities (IEEE-CH)},

pages = {1–6},

organization = {IEEE},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{tsikelis2025ahmp,

title = {AHMP: Agile Humanoid Motion Planning with Contact Sequence Discovery},

author = {Ioannis Tsikelis and Evangelos Tsiatsianas and Chairi Kiourt and Serena Ivaldi and Konstantinos Chatzilygeroudis and Enrico Mingo Hoffman},

doi = {10.1109/Humanoids65713.2025.11203211},

year  = {2025},

date = {2025-01-01},

urldate = {2025-01-01},

booktitle = {2025 IEEE-RAS 24th International Conference on Humanoid Robots (Humanoids)},

pages = {33–40},

organization = {IEEE},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{sokorelis2025evaluation,

title = {An Evaluation of Energy Consumption for Deep Learning-Based Privacy Preserving Record Linkage},

author = {Emmanouil Sokorelis and Alexandros Karakasidis and Eftychios Protopapadakis and Chairi Kiourt},

year  = {2025},

date = {2025-01-01},

booktitle = {European Conference on Advances in Databases and Information Systems},

pages = {171–180},

organization = {Springer},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{dorovatas2025auto,

title = {Auto-Compressing Networks},

author = {Vaggelis Dorovatas and Georgios Paraskevopoulos and Alexandros Potamianos},

url = {https://openreview.net/pdf?id=eIDa6pd9iQ},

year  = {2025},

date = {2025-01-01},

urldate = {2025-01-01},

booktitle = {39th Conference on Neural Information Processing Systems (NeurIPS 2025)},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{faliagka2025automatic,

title = {Automatic assessment of verbal responses in a speech and language therapy platform},

author = {Evanthia Faliagka and Manos Plitsis and Kosmas Palios and Athanasios Katsamanis and Spyridoula Stamouli and Athanasia-Lida Dimou and Christos Panagiotou and Dimitris Karadimas and Christos Antonopoulos and Nikolaos Voros and others},

year  = {2025},

date = {2025-01-01},

urldate = {2025-01-01},

booktitle = {Proceedings of the 18th ACM International Conference on PErvasive Technologies Related to Assistive Environments},

pages = {7–13},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{karakatsanis2025autonomous,

title = {Autonomous Management of Low-Water Crossings Using IoT and Computer Vision for Enhanced Public Safety},

author = {Evangelos Karakatsanis and Chairi Kiourt},

doi = {10.1007/978-3-032-10670-4_13},

year  = {2025},

date = {2025-01-01},

urldate = {2025-01-01},

booktitle = {International Conference on Intelligent Vision and Computing},

pages = {149–158},

organization = {Springer},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{farinetti2025balancing,

title = {Balancing openness and sensitivity in archaeological data: European frameworks and digital heritage management},

author = {Emeri Farinetti and Margherita Bottoni and Fernando Moreno-Navarro and Despoina Tsiafaki},

url = {https://ieeexplore.ieee.org/abstract/document/11279276/},

year  = {2025},

date = {2025-01-01},

urldate = {2025-01-01},

booktitle = {2025 IEEE International Conference on Cyber Humanities (IEEE-CH)},

pages = {1–6},

organization = {IEEE},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{zoumpoulidi2025bloomwise,

title = {BloomWise: Enhancing Problem-Solving capabilities of Large Language Models using Bloom's-Taxonomy-Inspired Prompts},

author = {Maria-Eleni Zoumpoulidi and Georgios Paraskevopoulos and Alexandros Potamianos},

url = {arXiv preprint arXiv:2410.04094},

year  = {2025},

date = {2025-01-01},

urldate = {2025-01-01},

booktitle = {EMNLP 2025 Workshop on Mathematical Natural Language Processing},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{zoumpoulidi2025bloomxplain,

title = {BloomXplain: A Framework and Benchmark Dataset for Pedagogically Sound LLM-Generated Explanations Based on Bloom’s Taxonomy},

author = {Maria-Eleni Zoumpoulidi and Eleni Batsi and Georgios Paraskevopoulos and Vassilis Katsouros and Alexandros Potamianos},

url = {https://openreview.net/forum?id=EMMPng2LLl},

year  = {2025},

date = {2025-01-01},

urldate = {2025-01-01},

booktitle = {NeurIPS 2025 Workshop on Evaluating the Evolving LLM Lifecycle: Benchmarks, Emergent Abilities, and Scaling},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{10.1145/3742886.3756706,

title = {Challenges and opportunities in portraying emotion in generated sign language},

author = {John McDonald and Rosalee Wolfe and Fabrizio Nunnari},

url = {https://doi.org/10.1145/3742886.3756706},

doi = {10.1145/3742886.3756706},

isbn = {9798400719967},

year  = {2025},

date = {2025-01-01},

booktitle = {Adjunct Proceedings of the 25th ACM International Conference on Intelligent Virtual Agents},

publisher = {Association for Computing Machinery},

address = {New York, NY, USA},

series = {IVA Adjunct '25},

abstract = {Non-manual signals in sign languages continue to be a challenge for signing avatars. More specifically, emotional content has been difficult to incorporate because of a lack of a standard method of specifying the avatar’s emotional state. This paper explores the application of an intuitive two-parameter representation for emotive non-manual signals to the Paula signing avatar that shows promise for facilitating the linguistic specification of emotional facial expressions in a more coherent manner than previous methods. Users can apply these parameters to control Paula’s emotional expressions through a textual representation called the EASIER notation. The representation can allow avatars to express more nuanced emotional states using two numerical parameters. It also has the potential to enable more consistent specification of emotional non-manual signals in linguistic annotations which drive signing avatars.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Karampiperietal2025,

title = {Characterization of thermoluminescence properties of salt grains and NaCl pellets for R/N emergencies},

author = {Maria Karampiperi and Lamprini Malletzidou and Anna Mrozik and Christopher L. Rääf and Nikolaos Kazakis and Christian Bernhardsson},

year  = {2025},

date = {2025-06-08},

urldate = {2025-06-08},

booktitle = {21st International Conference on Solid State Dosimetry (SSD21)},

address = {Mexico City},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{bompolas2025crossing,

title = {Crossing Dialectal Boundaries: Building a Treebank for the Dialect of Lesbos through Knowledge Transfer from Standard Modern Greek},

author = {Stavros Bompolas and Stella Markantonatou and Angela Ralli and Antonios Anastasopoulos},

url = { https://aclanthology.org/2025.udw-1.5/},

year  = {2025},

date = {2025-01-01},

urldate = {2025-01-01},

booktitle = {Proceedings of the Eighth Workshop on Universal Dependencies (UDW, SyntaxFest 2025)},

pages = {39–51},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{kanatas2025culturemert,

title = {CultureMERT: Continual Pre-Training for Cross-Cultural Music Representation Learning},

author = {Angelos-Nikolaos Kanatas and Charilaos Papaioannou and Alexandros Potamianos},

url = {arXiv:2506.17818},

year  = {2025},

date = {2025-01-01},

urldate = {2025-01-01},

booktitle = {Proceedings of the 26th International Society for Music Information Retrieval Conference (ISMIR 2025)},

address = {Daejeon, South Korea},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{10.1007/978-3-032-06389-2_15,

title = {Deep Learning-Based Monocular Depth Estimation in Cultural Heritage},

author = {Vasileios Arampatzakis and Fotis Arnaoutoglou and Anestis Koutsoudis and George Pavlidis},

editor = {George Pavlidis and Stella Sylaiou},

url = {https://link.springer.com/chapter/10.1007/978-3-032-06389-2_15},

isbn = {978-3-032-06389-2},

year  = {2025},

date = {2025-12-31},

urldate = {2025-12-31},

booktitle = {Transforming Heritage Research in a Transforming World: 5th CAA-GR Conference 2024},

pages = {155–163},

publisher = {Springer},

address = {Cham},

abstract = {In cultural heritage, various methods have addressed three-dimensional (3D) digitization and reconstruction using two-dimensional (2D) images, including shape from structured light, shape from stereo, and structure from motion. A common challenge is the recognition of the distance of objects in a scene from the viewpoint, usually called depth. Recognizing depth in 2D photographs remains a challenge in computer vision. Deep Learning techniques have improved this area, particularly in what is called monocular depth estimation. This work investigates the applicability of state-of-the-art monocular depth estimation methods as a preliminary step toward complete and automated 3D reconstruction of cultural heritage artifacts. As image-based 3D reconstruction is extremely time-consuming and expertise-demanding, monocular depth estimation methods could provide significant advantages in speeding up the overall process. Our preliminary experiments yield promising results, with a mean accuracy of 88.15%, a mean RMSE error of 37.35, and a mean PSNR of 27.37 dB across these methods.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{10.2312:dh.20253260,

title = {Defining a New Digital Twin Ontology for Cultural Heritage Preservation - the Case of ARGUS},

author = {George Pavlidis and Vasileios Sevetlidis and Vasileios Arampatzakis},

editor = {Stefano Campana and Daniele Ferdani and Holger Graf and Gabriele Guidi and Zackary Hegarty and Sofia Pescarin and Fabio Remondino},

doi = {10.2312/dh.20253260},

isbn = {978-3-03868-277-6},

year  = {2025},

date = {2025-01-01},

urldate = {2025-01-01},

booktitle = {Digital Heritage},

publisher = {The Eurographics Association},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{vakirtzian2025dialectal,

title = {Dialectal treebanks and their relation with the standard variety: The case of East Cretan and Standard Modern Greek},

author = {Socrates Vakirtzian and Vivian Stamou and Yannis Kazos and Stella Markantonatou},

year  = {2025},

date = {2025-01-01},

urldate = {2025-01-01},

booktitle = {Proceedings of the Joint 25th Nordic Conference on Computational Linguistics and 11th Baltic Conference on Human Language Technologies (NoDaLiDa/Baltic-HLT 2025)},

pages = {776–784},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{10.1007/978-3-032-06389-2_38,

title = {Exploration and Digitization of the Pomak Linguistic Corpus},

author = {Nikolaos T. Kokkas and Stella Markantonatou and Vasileios Arampatzakis},

editor = {George Pavlidis and Stella Sylaiou},

url = {https://doi.org/10.1007/978-3-032-06389-2_38},

isbn = {978-3-032-06389-2},

year  = {2025},

date = {2025-01-01},

urldate = {2025-01-01},

booktitle = {Transforming Heritage Research in a Transforming World: 5th CAA-GR Conference 2024},

pages = {407–415},

publisher = {Springer},

address = {Cham},

abstract = {The use of emerging technologies and the creation of open-source textual resources is a significant step towards a thorough linguistic study of the language of the Pomaks. ``Philotis'' research project (2020–2023) focused on the creation of the infrastructure, the methodology and the tools for the recording, analysis and documentation of living languages, and adopted Pomak as a case study. The corpus of Pomak compiled by ``Philotis'' contains about 140,000 words selected from a variety of text types including web articles, pieces of news, novels, poems, proverbs, traditional songs, folk tales and language lessons. The resources that resulted from this effort are openly available to Natural Language Processing practitioners and could be helpful for an advanced quantitative and qualitative analysis of the use and structure of Pomak.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{10.1007/978-3-032-06389-2_39,

title = {Exploring Active Learning Approaches in Treebank Development},

author = {Vasileios Arampatzakis and Vivian Stamou and Stella Markantonatou and George Pavlidis},

editor = {George Pavlidis and Stella Sylaiou},

url = {https://doi.org/10.1007/978-3-032-06389-2_39},

isbn = {978-3-032-06389-2},

year  = {2025},

date = {2025-01-01},

urldate = {2025-01-01},

booktitle = {Transforming Heritage Research in a Transforming World: 5th CAA-GR Conference 2024},

pages = {417–425},

publisher = {Springer},

address = {Cham},

abstract = {Developing language treebanks is a challenging and time-consuming process, especially for under-resourced languages with limited data. This study proposes the use of active learning approaches to automate aspects of this process, aiming to reduce both annotation duration and cost. We propose practical active annotation schemes in which experts strategically select sentences for the training set, initiating a circular process involving annotation prediction, expert correction, and model retraining. To validate the feasibility of these schemes, we applied them to 300 annotated sentences from the newly created Pomak corpus (an under-resourced language), recently published in Universal Dependencies treebanks, as the result of our efforts. Through experiments involving a simple weighted summation of annotation errors, we identified an optimal strategy. This strategy resulted in a 69% reduction in total annotation duration and an associated 81% decrease in total corresponding cost compared to a typical manual annotation, demonstrating the effectiveness of this approach.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}