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De Santi, B., Awasthi, N., & Manohar, S. (2024). Using denoising diffusion probabilistic models to enhance quality of limited-view photoacoustic tomography. In A. A. Oraevsky, & L. V. Wang (Eds.), Photons Plus Ultrasound: Imaging and Sensing 2024: 28–31 January 2024, San Francisco, California, United States Article 1284213 (Proceedings of SPIE; Vol. 12842), (Progress in Biomedical Optics and Imaging; Vol. 25, No. 27). SPIE. https://doi.org/10.1117/12.3001616 -
Waagen, J., Verhagen, P., & de Haas, T. (2024). A new tool to increase the robustness of archaeological field survey. Peer Community in Archaeology, Article 100351. https://doi.org/10.24072/pci.archaeo.100351 -
Duinmeijer, I., Geurts, L., van Dijke, I., Scheffer, A., Spit, S., & de Heer, L. (2024). Training morphosyntactic skills in Dutch preschoolers with (presumed) Developmental Language Disorder: A novel group‐based intervention. International Journal of Language and Communication Disorders, 59(6), 2580-2604. https://doi.org/10.1111/1460-6984.13102 -
van Benthem, J. (2024). An Abstract Look at the Fixed-Point Theorem for Provability Logic. In N. Bezhanishvili, R. Iemhoff, & F. Yang (Eds.), Dick de Jongh on Intuitionistic and Provability Logics (pp. 75-88). (Outstanding Contributions to Logic; Vol. 28). Springer. https://doi.org/10.1007/978-3-031-47921-2_3 -
de Jongh, D. (2024). Notes on My Scientific Life. In N. Bezhanishvili, R. Iemhoff, & F. Yang (Eds.), Dick de Jongh on Intuitionistic and Provability Logics (pp. 1-31). (Outstanding Contributions to Logic; Vol. 28). Springer. https://doi.org/10.1007/978-3-031-47921-2_1 -
Bezhanishvili, N., Iemhoff, R., & Yang, F. (Eds.) (2024). Dick de Jongh on Intuitionistic and Provability Logics. (Outstanding Contributions to Logic; Vol. 28). Springer. https://doi.org/10.1007/978-3-031-47921-2
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Waagen, J. (2024). Mystras Captured from the Air: Digital Recording Techniques for Cultural Heritage Management of a Monumental Archaeological Site. Peer Community in Archaeology, Article 100420. https://doi.org/10.24072/pci.archaeo.100420 -
Kowalchuk, M. A., Gupta, S., & Awasthi, N. (2024). Applying pre-trained deep learning models for Multi-Label Classification of Realistic and Noisy Electrocardiogram Images. Computing in Cardiology, 51. https://doi.org/10.22489/cinc.2024.496 -
Chopard, B., Davishofer, S., Helbing, D., Levrat, N., & Sloot, P. (2024). Preface—From the modeling of social behavior to computational diplomacy. Journal of Computational Science, 77, Article 102115. https://doi.org/10.1016/j.jocs.2023.102115 -
Mohammed, W., & Niculae, V. (2024). On Measuring Context Utilization in Document-Level MT Systems. In Y. Graham, & M. Purver (Eds.), The 18th Conference of the European Chapter of the Association for Computational Linguistics : Findings of EACL 2024: EACL 2024 : March 17-22, 2024 (pp. 1633–1643). Association for Computational Linguistics. https://doi.org/10.18653/v1/2024.findings-eacl.113
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