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  • Olsson, E., & Cai, Q. (2023). Computational Studies on Na-Ion Electrode Materials. In M.-M. Titirici, P. Adelhelm, & Y.-S. Hu (Eds.), Sodium-Ion Batteries: Materials, Characterization, and Technology (Vol. 1, pp. 259-300). Wiley-VCH. https://doi.org/10.1002/9783527825769.ch9
  • Bastiaansen, T. M. M., Benders, R. T., de Vries, S., Hendriks, W. H., Thomas, M., Bosch, G., & Dijksman, J. A. (2023). Capillary rheometry as a model methodology for obtaining insight in feed mash behaviour at conditions approximating pellet manufacturing. Animal Feed Science and Technology, 303, Article 115693. https://doi.org/10.1016/j.anifeedsci.2023.115693
  • Rudge, R. E. D., Mosselman, M. J., Shewan, H. M., Stokes, J. R., Dijksman, J. A., & Scholten, E. (2023). The impact of tribometer motion and surface roughness on the frictional regimes of model foods. Food Hydrocolloids, 145, Article 108976. https://doi.org/10.1016/j.foodhyd.2023.108976
  • Benladgham, R., Hadjila, F., & Belloum, A. (2023). A Pareto-Optimal Privacy-Accuracy Settlement for Differentially Private Image Classification. In 5th International Conference on Pattern Analysis and Intelligent Systems: PAIS'23 : proceedings : 25-26 October 2023, Setif Algeria (pp. 109-115). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/PAIS60821.2023.10321972
  • Jeffery, S., & Zur, S. (2023). Multidimensional Quantum Walks. In B. Saha, & R. A. Servedio (Eds.), STOC '23: Proceedings of the 55th Annual ACM Symposium on Theory of Computing : June 20-23, 2023, Orlando, FL, USA (pp. 1125-1130). Association for Computing Machinery. https://doi.org/10.1145/3564246.3585158
  • Deshamudre, R., Mohammadi Ziabari, S. S., & van Houten, M. (2023). Enhancing AI Adoption in Healthcare: A Data Strategy for Improved Heart Disease Prediction Accuracy Through Deep Learning Techniques. In P. Delir Haghighi, E. Pardede, G. Dobbie, V. Yogarajan, N. A. S. ER, G. Kotsis, & I. Khalil (Eds.), Information Integration and Web Intelligence: 25th International Conference, iiWAS 2023, Denpasar, Bali, Indonesia, December 4–6, 2023 : proceedings (pp. 13-19). (Lecture Notes in Computer Science; Vol. 14416). Springer. https://doi.org/10.1007/978-3-031-48316-5_2
  • Hooftman, D., Mohammadi Ziabari, S. S., & Snijder, J. (2023). Exploring CycleGAN for Bias Reduction in Gender Classification: Generative Modelling for Diversifying Data Augmentation. In H. Lu, M. Blumenstein, S.-B. Cho, C.-L. Liu, Y. Yagi, & T. Kamiya (Eds.), Pattern Recognition: 7th Asian Conference, ACPR 2023, Kitakyushu, Japan, November 5–8, 2023 : proceedings (Vol. III, pp. 26-40). (Lecture Notes in Computer Science; Vol. 14408). Springer. https://doi.org/10.1007/978-3-031-47665-5_3
  • Mikyška, J., de Mulatier, C., Paszynski, M., Krzhizhanovskaya, V. V., Dongarra, J. J., & Sloot, P. M. A. (2023). Preface. 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. IV, pp. v-vi). (Lecture Notes in Computer Science; Vol. 14076). Springer. https://doi.org/10.1007/978-3-031-36027-5
  • Olthof, A. M., Verlinden, J., & Ben Allouch, S. (2023). The Body Can Not Be Thought: design practice at the intersection of human-computer integration and critical disability studies to develop new paradigms for health and well-being. In K. Vaes, & J. Verlinden (Eds.), Cumulus conference: Connectivity and Creativity in times of Conflict (pp. 232-235). (Cumulus Conference Proceedings Series; Vol. 10). Academia Press. https://cumulusassociation.org/wp-content/uploads/2024/01/CumuluaAntwerp23proceedings.pdf
  • Open Access
    Bencs, F., Borbényi, M., & Csikvári, P. (2023). Random Cluster Model on Regular Graphs. Communications in Mathematical Physics, 399(1), 203-248. https://doi.org/10.1007/S00220-022-04552-1
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