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2025
Dynamic Predictive Models for Side Effects Following Cancer or Cancer Treatment: A Systematic Review (2025)[Contribution to conference › Abstract] 10th Dutch Biomedical Engineering Conference, BME 2025. Fatime, O. D., Schipper, R., Berendsen, A., Nane, G. F., van Keulen, M., Witteveen, A. & John, A.
2024
Impact of Camera Settings on 3D Reconstruction Quality: Insights from NeRF and Gaussian Splatting (2024)Sensors (Switzerland), 24(23). Article 7594. Rangelov, D., Waanders, S., Waanders, K., van Keulen, M. & Miltchev, R.https://doi.org/10.3390/s24237594MetaLIRS: Meta-learning for Imputation and Regression Selection (2024)In Intelligent Data Engineering and Automated Learning - IDEAL 2024: 25th International Conference, Valencia, Spain, November 20-22, 2024. Proceedings, Part I (pp. 155-166) (Lecture Notes in Computer Science; Vol. 15346). Springer. Baysal Erez, I., Flokstra, J., Poel, M. & van Keulen, M.https://doi.org/10.1007/978-3-031-77731-8_15Dynamic Sparse Training versus Dense Training: The Unexpected Winner in Image Corruption Robustness (2024)[Working paper › Preprint]. ArXiv.org. Wu, B., Xiao, Q., Wang, S., Strisciuglio, N., Pechenizkiy, M., van Keulen, M., Mocanu, D. C. & Mocanu, E.https://doi.org/10.48550/arXiv.2410.03030Insights into Dynamic Sparse Training: Theory Meets Practice (2024)[Contribution to conference › Poster] European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2024. Wu, B., van Keulen, M., Mocanu, D. C. & Mocanu, E.Finding blind spots: Investigating identity data matching in transnational commercialized security infrastructures and beyond (2024)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente. Van Rossem, W.https://doi.org/10.3990/1.9789036561778Prototype-Based Interpretable Breast Cancer Prediction Models: Analysis and Challenges (2024)In Explainable Artificial Intelligence - 2nd World Conference, xAI 2024, Proceedings (pp. 21-42) (Communications in Computer and Information Science; Vol. 2153 CCIS). Springer. Pathak, S., Schlötterer, J., Veltman, J., Geerdink, J., van Keulen, M. & Seifert, C.https://doi.org/10.1007/978-3-031-63787-2_2The interaction between imputation and regression models (2024)[Contribution to conference › Poster] 22nd International Conference of AI in Medicine, AIME 2024. Baysal Erez, I., Flokstra, J., Poel, M. & van Keulen, M.Are Large Language Models the New Interface for Data Pipelines? (2024)In Proceedings of the International Workshop on Big Data in Emergent Distributed Environments, BIDEDE 2024, in conjunction with the 2024 ACM SIGMOD/PODS Conference. Article 6 (Proceedings of the International Workshop on Big Data in Emergent Distributed Environments, BIDEDE 2024, in conjunction with the 2024 ACM SIGMOD/PODS Conference). Association for Computing Machinery. Barbon, S., Ceravolo, P., Groppe, S., Jarrar, M., Maghool, S., Sèdes, F., Sahri, S. & Van Keulen, M.https://doi.org/10.1145/3663741.3664785Are Large Language Models the New Interface for Data Pipelines? (2024)[Working paper › Preprint]. ArXiv.org. Junior, S. B., Ceravolo, P., Groppe, S., Jarrar, M., Maghool, S., Sèdes, F., Sahri, S. & van Keulen, M.https://doi.org/10.48550/arXiv.2406.06596
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