ExplAI - researchr conference series publications

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Viewing Publication 1 - 16 from 16

2025

An approach to identifying functional and non-functional requirements in IT-project management using deep learning modelsRuslan Bahrii, Tetiana Skrypnyk, Bohdan Romanov, Elena Zaitseva, Houda El Bouhissi, Volodymyr Lytvynenko. explai 2025: 78-91 [doi]

Hierarchical neural network model for identifying similar objects in drone imagesDmytro Borovyk, Oleksander Barmak, Pawel Komada, Sergii Babichev. explai 2025: 183-195 [doi]

A method for detecting intestinal thrombosis based on a hybrid approach using grey wolf optimization and a genetic algorithmLyubomyr Chyrun, Dmytro Uhryn, Yuriy Ushenko, Oleksii Iliuk, Yuriy Masikevych. explai 2025: 107-116 [doi]

Explainable artificial intelligence foundations for web-based sea ice extent forecasting systemTetiana Hovorushchenko, Olga Pavlova, Vitalii Alekseiko, Oleg Voichur, Valeriia Shvaiko, Artem Boyarchuk. explai 2025: 1-14 [doi]

Proceedings of the 1st Workshop on Advanced AI in Explainability and Ethics for the Sustainable Development Goals (ExplAI-2025), Khmelnytskyi, Ukraine, November 7, 2025Tetiana Hovorushchenko, Oleksander Barmak, Abdel-Badeeh M. Salem, Pavlo Radiuk, editors, Volume 4141 of CEUR Workshop Proceedings, CEUR-WS.org, 2025. [doi]

Linear ensemble model with winner-takes-all aggregation strategy for improved small data classificationIvan Izonin, Roman Tkachenko, Serhii Chesanov, Yaroslav Tolstyak, Myroslav Stupnytskyi. explai 2025: 67-77 [doi]

Knowledge engineering information technology for cultural-educational scenarios based on RAGKhrystyna Lipianina-Honcharenko, Nazar Melnyk, Myroslav Komar, Pavlo Bykovyy, Khrystyna Yurkiv. explai 2025: 130-141 [doi]

A method for synthesising system architecture for IT infrastructure resistant to social engineering attacksSergii Lysenko, Oleksandr Bokhonko, Tomas Sochor, Olha Atamaniuk, Nadiia Lysenko, Jiri Balej. explai 2025: 52-66 [doi]

Vision transformers transfer learning for smoking detection in public spaces with transparent AI decisionsOlexander Mazurets, Maryna Molchanova, Olha Zalutska, Ihor Kok, Vitaly G. Levashenko, Abdel-Badeeh M. Salem. explai 2025: 142-152 [doi]

Neural network detection of digital fatigue and burnout with interpretable thematic segmentationOlexander Mazurets, Roman Vit, Maryna Molchanova, Olena Sobko, Adam Wierzbicki, Dmytro Chumachenko. explai 2025: 28-37 [doi]

CNNs are explainable domain-specific visual embeddersZakhar Ostrovsky, Andrii Biloshchytskyi, Dmytro Uhryn. explai 2025: 15-27 [doi]

A benchmark methodology for urban traffic pattern clustering using SUMO-based expert-verified ground truthVitaliy Pavlyshyn, Eduard Manziuk, Adnène Arbi, Nebojsa Bacanin, Iurii Krak. explai 2025: 117-129 [doi]

Verifiable by construction: Evidence-anchored LLMs for explainable fake news detectionAndrii Shupta, Pavlo Radiuk, Miroslav Kvassay, Piotr Gaj. explai 2025: 168-182 [doi]

An explainable artificial intelligence approach for detecting network attacksDmytro Tymoshchuk, Andriy Sverstiuk, Yurii Klots, Nataliia Petliak, Vira Titova. explai 2025: 38-51 [doi]

AutoML PyCaret and SHAP explainable AI for ECG signal classification based on amplitude variabilityDmytro Tymoshchuk, Iryna Didych, Andriy Sverstiuk, Lyubomyr Mosiy, Yuri Palianytsia. explai 2025: 92-106 [doi]

An approach to matching satellite and UAV images for visual place recognition using color normalization and YOLOVolodymyr Vozniak, Yuriy Ushenko, Orken Mamyrbayev. explai 2025: 153-167 [doi]

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