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Zhdanov, M., Ruhe, D., Weiler, M., Lucic, A., Forré, P. D., Brandstetter, J., & Forré, P. (2024). Clifford-steerable convolutional neural networks. Proceedings of Machine Learning Research, 235, 61203-612228. https://proceedings.mlr.press/v235/zhdanov24a.html -
Holstege, F., Wouters, B., van Giersbergen, N., & Diks, C. (2024). Removing Spurious Concepts from Neural Network Representations via Joint Subspace Estimation. Proceedings of Machine Learning Research, 235, 18568-18610. https://proceedings.mlr.press/v235/holstege24a.html -
Liu, Y., Magliacane, S., Kofinas, M., & Gavves, E. (2024). Amortized Equation Discovery in Hybrid Dynamical Systems. Proceedings of Machine Learning Research, 235, 31645-31668. https://proceedings.mlr.press/v235/liu24at.html -
Fahner, J. H. (2024). Investment Protection in an Integrated Europe: The Non-Enforcement of Intra-EU Investment Arbitration Awards as the Ultimate Test Case for Strasbourg’s Deference Doctrines. Legal Issues of Economic Integration, 51(1), 1-10. https://doi.org/10.54648/leie2024001 -
Roelofke Muusse, C. G., Mulder, C. L., de Kroon, H., & Pols, J. (2024). Uncertainty Work: Dealing with a Psychiatric Crisis in Two European Community Mental Health Teams. Medical Anthropology, 43(3), 246-261. https://doi.org/10.1080/01459740.2024.2310857 -
Sall, T. L., Sakho, C. S., & Ndiaye, N. L. (2024). Gender-based violence and sexual and reproductive health and rights of adolescent girls in Senegal: an analysis of social control practices. African Journal of Reproductive Health , 28(8s), 176-184. https://doi.org/10.29063/ajrh2024/v28i8s.20 -
Zhang, X., Skoric, V., & Sileno, G. (2024). Automating Fundamental Right Impact Assessment: An Open Experiment. In J. Savelka, J. Harasta, T. Novotna, & J. Misek (Eds.), Legal Knowledge and Information Systems: JURIX 2024: The Thirty-seventh Annual Conference, Brno, Czech Republic, 11-13 December 2024 (pp. 204-214). (Frontiers in Artificial Intelligence and Applications; Vol. 395). IOS Press. https://doi.org/10.3233/FAIA241246 -
van Liebergen, N., Schaaphok, M., & Sileno, G. (2024). ReSGrAL: Fairness-Sensitive Active Learning. In L. Nannini, A. Gillard, C. F. Levy, A. Ozkes, & M. Slavkovik (Eds.), Proceedings of the First Workshop on Implementing AI Ethics through a Behavioural Lens (AIEB 2024): co-located with 26th European Conference on Artificial Intelligence (ECAI 2024) : Santiago de Compostela, Spain, October 19, 2024 (pp. 13-24). Article 2 (CEUR Workshop Proceedings; Vol. 3948). CEUR-WS. https://ceur-ws.org/Vol-3948/paper2.pdf -
Demchenko, Y., Cuadrado-Gallego, J. J., Chertov, O., & Aleksandrova, M. (2024). Big Data Infrastructure Technologies for Data Analytics: Scaling Data Science Applications for Continuous Growth. Springer. https://doi.org/10.1007/978-3-031-69366-3
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Lei, Y., Cao, Y., Zhou, T., Shen, T., & Yates, A. (2024). Corpus-Steered Query Expansion with Large Language Models. In Y. Graham, & M. Purver (Eds.), The 18th Conference of the European Chapter of the Association for Computational Linguistics: proceedings of the conference : EACL 2024 : March 17-22, 2024 (Vol. 2, pp. 393-401). Association for Computational Linguistics. https://doi.org/10.18653/v1/2024.eacl-short.34
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