Publications

2025

Maglaras, L., Kioskli, K.

End-to-End Encryption: Technological and Human Factor Perspectives

In: Schmorrow, D.D., Fidopiastis, C.M. (eds) Augmented Cognition. HCII 2025. Lecture Notes in Computer Science(), vol 15778. Springer, Cham.

https://doi.org/10.1007/978-3-031-93724-8_10

2025

Topini, Alberto & Cecchi, Lorenzo & Fedi, Fausto & Minarelli, Marco & Bucci, Alessandro & Ridolfi, Alessandro

Trustworthy AI-Driven Autonomous Underwater Vehicles for Port Infrastructure Inspection: Paradigm Conceptualization

515-520. 10.1109/MetroSea66681.2025.11245714.

2025

Dr Theofanis Fotis , Kitty Kioskli, Eleni Seralidou

Charting Trustworthiness: A Socio-Technical Perspective on AI and Human Factors

Human Factors in Cybersecurity. AHFE (2025) International Conference. AHFE Open Access, vol 168. AHFE International, USA

http://doi.org/10.54941/ahfe1006137
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2025

Andrea Berti, Rossana Buongiorno, Gianluca Carloni, Claudia Caudai , Francesco Conti, Giulio Del Corso , Danila Germanese , Davide Moroni, Eva Pachetti , Maria Antonietta Pascali and Sara Colantonio

From Covid-19 detection to cancer grading: how medical-AI is boosting clinical diagnostics and may improve treatment

In Ital-IA 2023: 3rd National Conference on Artificial Intelligence, CINI (pp. 372–377). CEUR Workshop Proceedings.

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2025

Nikolaos Antonios Grammatikos, Evangelia Anagnostopoulou , Dimitris Apostolou and Gregoris Mentzas

Towards Trustworthy AI in STEM Education: Challenges and Strategies from the Trust-AI Platform

In Proceedings of TRUST-AI 2025 – The European Workshop on Trustworthy AI, edited by Asbjørn Følstad et al., 103–111. CEUR Workshop Proceedings

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2025

Kitty Kioskli, Theofanis Fotis, Eleni Seralidou, Marios Passaris and Nineta Polemi

trustSense: Measuring Human Oversight Maturity for Trustworthy AI

Computers 2025, 14(11), 483;

https://doi.org/10.3390/computers14110483
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2025

G. Del Corso, S. Colantonio, C. Caudai

Shedding light on uncertainties in machine learning: formal derivation and optimal model selection

Journal of the Franklin Institute 362(2–3):107548,

https://doi.org/10.1016/j.jfranklin.2025.107548
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2025

E. Karampotsis, K. Kioskli, A. Tsirimpa, G. Dounias & A. Polydoropoulou

Understanding evacuation behavior for effective disaster preparedness: a hybrid machine learning approach

Nat Hazards 120, 13627–13665 (2024)

https://doi.org/10.1007/s11069-024-06759-y

2025

Pezoulas, V. C., Tachos, N. S., Zaridis, D. I., Chatzis, L., Goules, A., Marias, K., Tsiknakis, M., Tzioufas A. G., and Fotiadis, D.

A synthetic data-driven generation approach to enhance the fairness and privacy of AI-based systems in the domain of rare diseases

IEEE BHI conference 2025

2025

Apostolidis, K., Zaridis, D. I., Tachos, N. S., Pezoulas, V. C., Marias, K., Tsiknakis, M., and Fotiadis, D

Adversarial Robustness Evaluation of Deep Learning Segmentation Models and Loss Functions in Prostate MRI

Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)

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