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van Ede, Y. (2024). Dancing Clay: On Kinaesthetic Experience and Tactile Materialization. In L. E. Dankworth, H. Rottenberg, & D. Williams (Eds.), Dance, Performance and Visual Art : Intersections with Material Culture (pp. 127-146). Palgrave Macmillan. https://doi.org/10.1007/978-3-031-69084-6_7 -
Hopman, R., Bleumink, R., Jong, L., & M'charek, A. (2024). Van individualisering naar racialisering: het voorspellen van gezichtskenmerken met forensisch DNA. Podium voor Bio-ethiek, 31(1), 6-11. https://nvbe.nl/wp-content/uploads/2024/06/20240514-Podium-23-4digitaal.pdf -
de Groot, N., M'charek, A., Toom, V., & de Knijff, P. (2024). Recreatieve DNA-databanken doorzoeken voor de opsporing: grenzen tussen bio-ethiek en politiek. Podium voor Bio-ethiek, 31(1), 12-17. https://nvbe.nl/wp-content/uploads/2024/06/20240514-Podium-23-4digitaal.pdf -
Segobin, S., Haast, R. A. M., Kumar, V. J., Lella, A., Alkemade, A., Bach Cuadra, M., Barbeau, E. J., Felician, O., Pergola, G., Pitel, A.-L., Saranathan, M., Tourdias, T., & Hornberger, M. (2024). A roadmap towards standardized neuroimaging approaches for human thalamic nuclei. Nature Reviews Neuroscience, 25(12), 792-808. https://doi.org/10.1038/s41583-024-00867-1 -
Ravn, L., & Johns, F. E. (2024). Digital Humanitarianism: An Interview with Fleur Johns. Critical Humanities, 3(1), Article 10. https://doi.org/10.33470/2836-3140.1073 -
Reeves, M., Havelkova, B., Vasconcelos, V. V., Levin, S. A., & Job, A. (2024). Understanding Corporate Change Using An Agent-Based Model Driven Approach. Web publication or website, Boston Consulting Group. https://bcghendersoninstitute.com/understanding-corporate-change-using-an-agent-based-model-driven-approach/
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Liu, J., Yin, W., Wang, H., Chen, Y., Sonke, J.-J., & Gavves, E. (2024). Dynamic Prototype Adaptation with Distillation for Few-shot Point Cloud Segmentation. In 2024 International Conference in 3D Vision: 3DV 2024 : 18-21 March 2024, Davos, Switzerland : proceedings (pp. 810-819). IEEE Computer Society. https://doi.org/10.1109/3DV62453.2024.00045 -
Müller, N., Scholte, H. S., & Groen, I. I. A. (2024). A single spatial transform improves predictions of neural responses by deep neural network models. Paper presented at 2024 Conference on Cognitive Computational Neuroscience, Boston, Massachusetts, United States. https://2024.ccneuro.org/poster/?id=32 -
Scholte, H. S., Smidi, J., Loke, J., Müller, N., Groen, I. I. A., & van Gerven, M. A. J. (2024). Convolutional neural networks align early in training with neural representations. Paper presented at 2024 Conference on Cognitive Computational Neuroscience, Boston, Massachusetts, United States. https://2024.ccneuro.org/poster/?id=324 -
Egorov, E., Valperga, R., & Gavves, E. (2024). Ai-sampler: Adversarial Learning of Markov kernels with involutive maps. Proceedings of Machine Learning Research, 235, 12304-12317. https://proceedings.mlr.press/v235/egorov24a.html
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