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ORCIDExplAI 2025: Khmelnytskyi, Ukraine
- Tetiana Hovorushchenko
, Oleksander Barmak, Abdel-Badeeh M. Salem, Pavlo Radiuk:
Proceedings of the 1st Workshop on Advanced AI in Explainability and Ethics for the Sustainable Development Goals (ExplAI-2025), Khmelnytskyi, Ukraine, November 7, 2025. CEUR Workshop Proceedings 4141, CEUR-WS.org 2025
Session 1: Explainable AI
- Tetiana Hovorushchenko, Olga Pavlova, Vitalii Alekseiko, Oleg Voichur, Valeriia Shvaiko, Artem Boyarchuk:
Explainable artificial intelligence foundations for web-based sea ice extent forecasting system. 1-14 - Zakhar Ostrovsky, Andrii Biloshchytskyi, Dmytro Uhryn:
CNNs are explainable domain-specific visual embedders. 15-27 - Olexander Mazurets, Roman Vit, Maryna Molchanova, Olena Sobko, Adam Wierzbicki, Dmytro Chumachenko:
Neural network detection of digital fatigue and burnout with interpretable thematic segmentation. 28-37 - Dmytro Tymoshchuk, Andriy Sverstiuk, Yurii Klots, Nataliia Petliak, Vira Titova:
An explainable artificial intelligence approach for detecting network attacks. 38-51
Session 2: AI Ethics and Governance
- Sergii Lysenko, Oleksandr Bokhonko, Tomas Sochor, Olha Atamaniuk, Nadiia Lysenko, Jiri Balej:
A method for synthesising system architecture for IT infrastructure resistant to social engineering attacks. 52-66 - Ivan Izonin, Roman Tkachenko, Serhii Chesanov, Yaroslav Tolstyak, Myroslav Stupnytskyi:
Linear ensemble model with winner-takes-all aggregation strategy for improved small data classification. 67-77 - Ruslan Bahrii, Tetiana Skrypnyk, Bohdan Romanov, Elena Zaitseva, Houda El Bouhissi, Volodymyr Lytvynenko:
An approach to identifying functional and non-functional requirements in IT-project management using deep learning models. 78-91
Session 3: Sustainable Development Goals
- Dmytro Tymoshchuk, Iryna Didych, Andriy Sverstiuk, Lyubomyr Mosiy, Yuri Palianytsia:
AutoML PyCaret and SHAP explainable AI for ECG signal classification based on amplitude variability. 92-106 - Lyubomyr Chyrun, Dmytro Uhryn, Yuriy Ushenko, Oleksii Iliuk, Yuriy Masikevych:
A method for detecting intestinal thrombosis based on a hybrid approach using grey wolf optimization and a genetic algorithm. 107-116 - Vitaliy Pavlyshyn, Eduard Manziuk, Adnène Arbi, Nebojsa Bacanin, Iurii Krak:
A benchmark methodology for urban traffic pattern clustering using SUMO-based expert-verified ground truth. 117-129 - Khrystyna Lipianina-Honcharenko, Nazar Melnyk, Myroslav Komar, Pavlo Bykovyy, Khrystyna Yurkiv:
Knowledge engineering information technology for cultural-educational scenarios based on RAG. 130-141
Session 4: Trustworthy AI
- Olexander Mazurets, Maryna Molchanova, Olha Zalutska, Ihor Kok, Vitaly G. Levashenko, Abdel-Badeeh M. Salem:
Vision transformers transfer learning for smoking detection in public spaces with transparent AI decisions. 142-152 - Volodymyr Vozniak, Yuriy Ushenko, Orken Mamyrbayev:
An approach to matching satellite and UAV images for visual place recognition using color normalization and YOLO. 153-167 - Andrii Shupta, Pavlo Radiuk, Miroslav Kvassay, Piotr Gaj:
Verifiable by construction: Evidence-anchored LLMs for explainable fake news detection. 168-182 - Dmytro Borovyk, Oleksander Barmak, Pawel Komada, Sergii Babichev:
Hierarchical neural network model for identifying similar objects in drone images. 183-195
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