TY - JOUR AU - Kő, Andrea AU - Buccafurri, F. AU - Kotsis, G. AU - Tjoa, A.M. AU - Khalil-Ibrahim, I. TI - Preface JF - LECTURE NOTES IN ARTIFICIAL INTELLIGENCE J2 - LECT NOTES ARTIF INT VL - 16049 PY - 2026 SP - V EP - VI SN - 0302-9743 UR - https://m2.mtmt.hu/api/publication/36369383 ID - 36369383 LA - English DB - MTMT ER - TY - JOUR AU - Van Ouytsel, Charles-Henry Bertrand AU - Legay, Axel AU - Lucca, Serena AU - Wauters, Dimitri TI - Assessing Static and Dynamic Features for Packing Detection JF - LECTURE NOTES IN ARTIFICIAL INTELLIGENCE J2 - LECT NOTES ARTIF INT VL - 15240 PY - 2025 SP - 146 EP - 166 PG - 21 SN - 0302-9743 DO - 10.1007/978-3-031-73887-6_12 UR - https://m2.mtmt.hu/api/publication/35838825 ID - 35838825 LA - English DB - MTMT ER - TY - JOUR AU - Leucker, Martin TI - The AI Act and Some Implications for Developing AI-Based Systems JF - LECTURE NOTES IN ARTIFICIAL INTELLIGENCE J2 - LECT NOTES ARTIF INT VL - 15240 PY - 2025 SP - 202 EP - 214 PG - 13 SN - 0302-9743 DO - 10.1007/978-3-031-73887-6_15 UR - https://m2.mtmt.hu/api/publication/35878081 ID - 35878081 LA - English DB - MTMT ER - TY - JOUR AU - Kamburjan, Eduard AU - Pferscher, Andrea AU - Schlatte, Rudolf AU - Sieve, Riccardo AU - Tarifa, Silvia Lizeth Tapia AU - Johnsen, Einar Broch TI - Semantic Reflection and Digital Twins: A Comprehensive Overview JF - LECTURE NOTES IN ARTIFICIAL INTELLIGENCE J2 - LECT NOTES ARTIF INT VL - 15240 PY - 2025 SP - 129 EP - 145 PG - 17 SN - 0302-9743 DO - 10.1007/978-3-031-73887-6_11 UR - https://m2.mtmt.hu/api/publication/35879829 ID - 35879829 LA - English DB - MTMT ER - TY - JOUR AU - Steffen, Bernhard AU - Hinchey, Mike TI - The Combined Power of Research, Education and Dissemination JF - LECTURE NOTES IN ARTIFICIAL INTELLIGENCE J2 - LECT NOTES ARTIF INT VL - 15240 PY - 2025 SP - 1 EP - 18 PG - 18 SN - 0302-9743 DO - 10.1007/978-3-031-73887-6_1 UR - https://m2.mtmt.hu/api/publication/35879832 ID - 35879832 LA - English DB - MTMT ER - TY - JOUR AU - Pandey, Pankaj TI - Bits and Bytes Betrayal: Unravelling the Dark Threads of Cybercrime in the Metaverse JF - LECTURE NOTES IN ARTIFICIAL INTELLIGENCE J2 - LECT NOTES ARTIF INT VL - 14800 PY - 2025 SP - 120 EP - 148 PG - 29 SN - 0302-9743 DO - 10.1007/978-3-031-66708-4_6 UR - https://m2.mtmt.hu/api/publication/36037572 ID - 36037572 LA - English DB - MTMT ER - TY - JOUR AU - Graziani, V. AU - Iorio, G. AU - Ridolfi, S. AU - Merucci, C. AU - Branchini, P. AU - Tortora, L. TI - Pigments and Brush Strokes: Investigating the Painting Techniques Using MA-XRF and Laser Profilometry JF - LECTURE NOTES IN ARTIFICIAL INTELLIGENCE J2 - LECT NOTES ARTIF INT VL - 14365 PY - 2024 SP - 215 EP - 226 PG - 12 SN - 0302-9743 DO - 10.1007/978-3-031-51023-6_19 UR - https://m2.mtmt.hu/api/publication/34955614 ID - 34955614 LA - English DB - MTMT ER - TY - JOUR AU - He, C. AU - Karpavičiūtė, N. AU - Hariharan, R. AU - Jacques, C. AU - Chambost, J. AU - Malmsten, J. AU - Zaninovic, N. AU - Wouters, K. AU - Fréour, T. AU - Hickman, C. AU - Vasconcelos, F. TI - Embryo Graphs: Predicting Human Embryo Viability from 3D Morphology JF - LECTURE NOTES IN ARTIFICIAL INTELLIGENCE J2 - LECT NOTES ARTIF INT VL - 15004 PY - 2024 SP - 80 EP - 90 PG - 11 SN - 0302-9743 DO - 10.1007/978-3-031-72083-3_8 UR - https://m2.mtmt.hu/api/publication/35518692 ID - 35518692 AB - 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. LA - English DB - MTMT ER - TY - JOUR AU - Purohit, M.V. TI - Discovery of Small Signals in Big Backgrounds JF - LECTURE NOTES IN ARTIFICIAL INTELLIGENCE J2 - LECT NOTES ARTIF INT VL - 13830 LNCS PY - 2023 SP - 31 EP - 37 PG - 7 SN - 0302-9743 DO - 10.1007/978-3-031-28350-5_3 UR - https://m2.mtmt.hu/api/publication/33857731 ID - 33857731 LA - English DB - MTMT ER - TY - JOUR AU - Holzer, M. AU - Nagy, Benedek TI - Preface JF - LECTURE NOTES IN ARTIFICIAL INTELLIGENCE J2 - LECT NOTES ARTIF INT VL - 14151 LNCS PY - 2023 SP - v EP - vi SN - 0302-9743 UR - https://m2.mtmt.hu/api/publication/34406580 ID - 34406580 N1 - Export Date: 22 March 2025; Cited By: 0; Conference name: Implementation and Application of Automata - 27th International Conference, CIAA 2023, Proceedings; Conference date: 19 September 2023 through 22 September 2023; Conference code: 299399 LA - English DB - MTMT ER -