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Results: 58,357
Number of items: 58,357
  • Contigiani, O., Hoekstra, H., Brouwer, M. M., Dvornik, A., Fortuna, M. C., Sifón, C., Yan, Z., & Vakili, M. (2023). Dynamical cluster masses from photometric surveys. Monthly Notices of the Royal Astronomical Society, 518(2), 2640-2650. https://doi.org/10.1093/MNRAS/STAC3027
  • Calore, F., Dekker, A., Serpico, P. D., & Siegert, T. (2023). Constraints on light decaying dark matter candidates from 16 years of INTEGRAL/SPI observations. Monthly Notices of the Royal Astronomical Society, 520(3), 4167–4172. https://doi.org/10.1093/MNRAS/STAD457
  • Koloi, A., Loukas, V. S., Sakellarios, A., Bosch, J. A., Quax, R., Nowakowska, K., Tachos, N., Kaźmierski, J., Papaloukas, C., & Fotiadis, D. (2023). A comparison study on creating simulated patient data for individuals suffering from chronic coronary disorders. In 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC): proceedings : Sydney, Australia, 24-27 July 2023 (pp. 3630-3633). IEEE. https://doi.org/10.1109/EMBC40787.2023.10340194
  • Pongrácz, G., Mihály, A., Gódor, I., Laki, S., Nanos, A., & Papagianni, C. (2023). Towards extreme network KPIs with programmability in 6G. In MobiHoc '23: Proceedings of the 2023 International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing : October 23-26, 2023, Washington, DC, USA (pp. 340-345). Association for Computing Machinery. https://doi.org/10.1145/3565287.3617610
  • Hsu, C. S.-H., De Vleeschauwer, D., & Papagianni, C. (2023). SLA Decomposition for Network Slicing: A Deep Neural Network Approach. IEEE Networking Letters, 5(4), 294-298. https://doi.org/10.1109/LNET.2023.3310359
  • Bumbuc, R. V., Yildirim, V., & Sheraton, M. V. (2023). Modelling the Interplay Between Chronic Stress and Type 2 Diabetes On-Set. In J. Mikyška, C. de Mulatier, M. Paszynski, V. V. Krzhizhanovskaya, J. J. Dongarra, & P. M. A. Sloot (Eds.), Computational Science – ICCS 2023: 23rd International Conference, Prague, Czech Republic, July 3–5, 2023 : proceedings (Vol. II, pp. 330-338). (Lecture Notes in Computer Science; Vol. 14074). Springer. https://doi.org/10.1007/978-3-031-36021-3_34
  • Baglamis, S., Saha, J., van der Heijden, M., Miedema, D. M., van Gent, D., Krawczyk, P. M., Vermeulen, L., & Sheraton, V. M. (2023). A Novel High-Throughput Framework to Quantify Spatio-Temporal Tumor Clonal Dynamics. In J. Mikyška, C. de Mulatier, M. Paszynski, V. V. Krzhizhanovskaya, J. J. Dongarra, & P. M. A. Sloot (Eds.), Computational Science – ICCS 2023: 23rd International Conference, Prague, Czech Republic, July 3–5, 2023 : proceedings (Vol. III, pp. 345-359). (Lecture Notes in Computer Science; Vol. 14075). Springer. https://doi.org/10.1007/978-3-031-36024-4_28
  • Bumbuc, R. V., Korkmaz, H. I., van Zuijlen, P. P. M., Vermeulen, L., & Sheraton, V. M. (2023). Understanding the Dynamics of the Proliferative Phase in Local Burn Wound Healing: A Computational Model. In X. Jiang, H. Wang, R. Alhajj, X. Hu, F. Engel, M. Mahmud, N. Pisanti, X. Cui, & H. Song (Eds.), Proceedings : 2023 IEEE International Conference on Bioinformatics and Biomedicine: December 5-8, 2023, Istanbul & Turkey (pp. 3676-3683). IEEE. https://doi.org/10.1109/BIBM58861.2023.10385875
  • Magra, A., Baarslag, T., & Spreij, P. (2023). Querying User Preferences in Automated Negotiation. In R. Hadfi, W. Li, & T. Ito (Eds.), 2023 IEEE International Conference on Agents : ICA 2023 : 4-6 December 2023, Kyoto, Japan : proceedings (pp. 71-76). IEEE Computer Society. https://doi.org/10.1109/ICA58824.2023.00021
  • Mettes, P. (2023). Hyperbolic Graph Codebooks. In G. Nicosia, V. Ojha, E. La Malfa, G. La Malfa, P. Pardalos, G. Di Fatta, G. Giuffrida, & R. Umeton (Eds.), Machine Learning, Optimization, and Data Science: 8th International Conference, LOD 2022, Certosa di Pontignano, Italy, September 19–22, 2022, Revised Selected Papers (Vol. I, pp. 48-61). (Lecture Notes in Computer Science; Vol. 13810). Springer. https://doi.org/10.1007/978-3-031-25599-1_5
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