@article{MTMT:36369383,
	title = {Preface},
	url = {https://m2.mtmt.hu/api/publication/36369383},
	author = {Kő, Andrea and Buccafurri, F. and Kotsis, G. and Tjoa, A.M. and Khalil-Ibrahim, I.},
	journal-iso = {LECT NOTES ARTIF INT},
	journal = {LECTURE NOTES IN ARTIFICIAL INTELLIGENCE},
	volume = {16049},
	unique-id = {36369383},
	issn = {0302-9743},
	year = {2026},
	eissn = {1611-3349},
	pages = {V-VI},
	orcid-numbers = {Kő, Andrea/0000-0003-0023-1143}
}

@article{MTMT:35838825,
	title = {Assessing Static and Dynamic Features for Packing Detection},
	url = {https://m2.mtmt.hu/api/publication/35838825},
	author = {Van Ouytsel, Charles-Henry Bertrand and Legay, Axel and Lucca, Serena and Wauters, Dimitri},
	doi = {10.1007/978-3-031-73887-6_12},
	journal-iso = {LECT NOTES ARTIF INT},
	journal = {LECTURE NOTES IN ARTIFICIAL INTELLIGENCE},
	volume = {15240},
	unique-id = {35838825},
	issn = {0302-9743},
	keywords = {machine learning; Dynamic analysis; PACKING; Static analysis; Experimental comparison; Malware},
	year = {2025},
	eissn = {1611-3349},
	pages = {146-166}
}

@article{MTMT:35878081,
	title = {The AI Act and Some Implications for Developing AI-Based Systems},
	url = {https://m2.mtmt.hu/api/publication/35878081},
	author = {Leucker, Martin},
	doi = {10.1007/978-3-031-73887-6_15},
	journal-iso = {LECT NOTES ARTIF INT},
	journal = {LECTURE NOTES IN ARTIFICIAL INTELLIGENCE},
	volume = {15240},
	unique-id = {35878081},
	issn = {0302-9743},
	keywords = {SE4AI; Trustworthy AI; AI act},
	year = {2025},
	eissn = {1611-3349},
	pages = {202-214}
}

@article{MTMT:35879829,
	title = {Semantic Reflection and Digital Twins: A Comprehensive Overview},
	url = {https://m2.mtmt.hu/api/publication/35879829},
	author = {Kamburjan, Eduard and Pferscher, Andrea and Schlatte, Rudolf and Sieve, Riccardo and Tarifa, Silvia Lizeth Tapia and Johnsen, Einar Broch},
	doi = {10.1007/978-3-031-73887-6_11},
	journal-iso = {LECT NOTES ARTIF INT},
	journal = {LECTURE NOTES IN ARTIFICIAL INTELLIGENCE},
	volume = {15240},
	unique-id = {35879829},
	issn = {0302-9743},
	year = {2025},
	eissn = {1611-3349},
	pages = {129-145}
}

@article{MTMT:35879832,
	title = {The Combined Power of Research, Education and Dissemination},
	url = {https://m2.mtmt.hu/api/publication/35879832},
	author = {Steffen, Bernhard and Hinchey, Mike},
	doi = {10.1007/978-3-031-73887-6_1},
	journal-iso = {LECT NOTES ARTIF INT},
	journal = {LECTURE NOTES IN ARTIFICIAL INTELLIGENCE},
	volume = {15240},
	unique-id = {35879832},
	issn = {0302-9743},
	keywords = {code; Model checking; formal methods; MDD; Service Orientation; Model Synthesis; automata learning; Low-Code/No},
	year = {2025},
	eissn = {1611-3349},
	pages = {1-18}
}

@article{MTMT:36037572,
	title = {Bits and Bytes Betrayal: Unravelling the Dark Threads of Cybercrime in the Metaverse},
	url = {https://m2.mtmt.hu/api/publication/36037572},
	author = {Pandey, Pankaj},
	doi = {10.1007/978-3-031-66708-4_6},
	journal-iso = {LECT NOTES ARTIF INT},
	journal = {LECTURE NOTES IN ARTIFICIAL INTELLIGENCE},
	volume = {14800},
	unique-id = {36037572},
	issn = {0302-9743},
	keywords = {Cyber crime; Metaverse; Metaverse Crime},
	year = {2025},
	eissn = {1611-3349},
	pages = {120-148}
}

@article{MTMT:34955614,
	title = {Pigments and Brush Strokes: Investigating the Painting Techniques Using MA-XRF and Laser Profilometry},
	url = {https://m2.mtmt.hu/api/publication/34955614},
	author = {Graziani, V. and Iorio, G. and Ridolfi, S. and Merucci, C. and Branchini, P. and Tortora, L.},
	doi = {10.1007/978-3-031-51023-6_19},
	journal-iso = {LECT NOTES ARTIF INT},
	journal = {LECTURE NOTES IN ARTIFICIAL INTELLIGENCE},
	volume = {14365},
	unique-id = {34955614},
	issn = {0302-9743},
	year = {2024},
	eissn = {1611-3349},
	pages = {215-226}
}

@article{MTMT:35518692,
	title = {Embryo Graphs: Predicting Human Embryo Viability from 3D Morphology},
	url = {https://m2.mtmt.hu/api/publication/35518692},
	author = {He, C. and Karpavičiūtė, N. and Hariharan, R. and Jacques, C. and Chambost, J. and Malmsten, J. and Zaninovic, N. and Wouters, K. and Fréour, T. and Hickman, C. and Vasconcelos, F.},
	doi = {10.1007/978-3-031-72083-3_8},
	journal-iso = {LECT NOTES ARTIF INT},
	journal = {LECTURE NOTES IN ARTIFICIAL INTELLIGENCE},
	volume = {15004},
	unique-id = {35518692},
	issn = {0302-9743},
	abstract = {Embryo selection is a critical step in the process of in-vitro fertilisation in which embryologists choose the most viable embryos for transfer into the uterus. In recent years, numerous works have used computer vision to perform embryo selection. However, many of these works have neglected the fact that the embryo is a 3D structure, instead opting to analyse embryo images captured at a single focal plane. In this paper we present a method for the 3D reconstruction of cleavage-stage human embryos. Through a user study, we validate that our reconstructions align with expert assessments. Furthermore, we demonstrate the utility of our approach by generating graph representations that capture biologically relevant features of the embryos. In pilot experiments, we train a graph neural network on these representations and show that it outperforms existing methods in predicting live birth from euploid embryo transfers. Our findings suggest that incorporating 3D reconstruction and graph-based analysis can improve automated embryo selection.},
	year = {2024},
	eissn = {1611-3349},
	pages = {80-90}
}

@article{MTMT:33857731,
	title = {Discovery of Small Signals in Big Backgrounds},
	url = {https://m2.mtmt.hu/api/publication/33857731},
	author = {Purohit, M.V.},
	doi = {10.1007/978-3-031-28350-5_3},
	journal-iso = {LECT NOTES ARTIF INT},
	journal = {LECTURE NOTES IN ARTIFICIAL INTELLIGENCE},
	volume = {13830 LNCS},
	unique-id = {33857731},
	issn = {0302-9743},
	year = {2023},
	eissn = {1611-3349},
	pages = {31-37}
}

@article{MTMT:34406580,
	title = {Preface},
	url = {https://m2.mtmt.hu/api/publication/34406580},
	author = {Holzer, M. and Nagy, Benedek},
	journal-iso = {LECT NOTES ARTIF INT},
	journal = {LECTURE NOTES IN ARTIFICIAL INTELLIGENCE},
	volume = {14151 LNCS},
	unique-id = {34406580},
	issn = {0302-9743},
	year = {2023},
	eissn = {1611-3349},
	pages = {v-vi}
}