E.N. Smirnov
Recente publicaties
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Jin, H., Maas, S. L., Zou, Y., Lu, C., Yu, B., Huchzermeier, R., Nadeau, S., Dos Santos, J., Gijbels, M., Mees, B. M. E., Smirnov, E., Matic, L., Hedin, U., Maffia, P., Monaco, C., Sluimer, J. C., Martins, G. A., van der Vorst, E. P. C., & Biessen, E. A. L. (2025). Identification of a PRDM1-regulated T cell network to regulate atherosclerotic plaque inflammation. Genome Medicine, 17(1), Article 109. https://doi.org/10.1186/s13073-025-01541-6Meer informatie over deze publicatie
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Schlembach, F., Smirnov, E., & Winands, M. H. M. (2025). Dynamic Conformal Prediction for Multi-Target Regression: Optimising Informational Efficiency under Joint Validity. In Proceedings of the Fourteenth Symposium on Conformal and Probabilistic Prediction with Applications, COPA 2025 (Vol. 266, pp. 193-213). ML Research Press.Meer informatie over deze publicatie
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Schlembach, F., Smirnov, E., Koprinska, I., & Winands, M. H. M. (2025). Conformal multistep-ahead multivariate time-series forecasting. Machine Learning, 114(7), Article 165. https://doi.org/10.1007/s10994-024-06722-9Meer informatie over deze publicatie
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Donovan, S. D. O., Cavill, R., Wimmenauer, F., Lukas, A., Stumm, T., Smirnov, E., Lenz, M., Ertaylan, G., Jennen, D. G. J., van Riel, N. A. W., Driessens, K., Peeters, R. L. M., & de Kok, T. M. C. M. (2023). Application of transfer learning to predict drug-induced human in vivo gene expression changes using rat in vitro and in vivo data. PLOS ONE, 18(11), Article e0292030. https://doi.org/10.1371/journal.pone.0292030Meer informatie over deze publicatie
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Wrede, C., Winands, M. H. M., Smirnov, E., & Wilbik, A. (2023). Towards Explainable Linguistic Summaries. In 2023 IEEE International Conference on Fuzzy Systems (FUZZ) (pp. 1-6). Article 10309707 The IEEE. https://doi.org/10.1109/FUZZ52849.2023.10309707Meer informatie over deze publicatie
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Maas, S., Jin, H., Lu, C., Nagenborg, J., Manca, M., Karel, J., Cavill, R., Sikkink, C., Yu, B., Nadeau, S., Dos Santos, J., Gijbels, M., Mees, B., Smirnov, E., Sluimer, J., Martins, G., Van der Vorst, E., & Biessen, E. (2023). Identification Of A Prdm1-Regulated T-Cell Network Which Controls T-Cell Driven Plaque Inflammation In Human And Mouse Atherosclerosis. Atherosclerosis, 379(S1), S11-S11. https://doi.org/10.1016/j.atherosclerosis.2023.06.914Meer informatie over deze publicatie
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Fontaine, M. A. C., Jin, H., Gagliardi, M., Rousch, M., Wijnands, E., Stoll, M., Li, X., Schurgers, L., Reutelingsperger, C., Schalkwijk, C., van den Akker, N. M. S., Molin, D. G. M., Gullestad, L., Eritsland, J., Hoffman, P., Skjelland, M., Andersen, G. Ø., Aukrust, P., Karel, J., ... Biessen, E. A. L. (2023). Blood Milieu in Acute Myocardial Infarction Reprograms Human Macrophages for Trauma Repair. Advanced Science, 10(5), Article 2203053. https://doi.org/10.1002/advs.202203053Meer informatie over deze publicatie
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Smirnov, E. (2023). Coverage vs Acceptance-Error Curves for Conformal Classification Models. In N. Lawrence (Ed.), Proceedings of Machine Learning Research (Vol. 204, pp. 534-545) https://proceedings.mlr.press/v204/Meer informatie over deze publicatie
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Smirnov, E., Delava, R., Diris, R., & Nikolaev, N. (2023). Multi-view Semi-supervised Learning Using Privileged Information. In L. Iliadis, I. Maglogiannis, S. Alonso, C. Jayne, & E. Pimenidis (Eds.), Engineering Applications of Neural Networks - 24th International Conference, EAAAI/EANN 2023, Proceedings (Vol. 1826 CCIS, pp. 144-152). Springer. https://doi.org/10.1007/978-3-031-34204-2_13Meer informatie over deze publicatie
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Abdelqader, H., Smirnov, E., Pont, M., & Geijselaers, M. (2023). Interpretable and Reliable Rule Classification Based on Conformal Prediction. In I. Koprinska, P. Mignone, R. Guidotti, S. Jaroszewicz, H. Fröning, F. Gullo, P. M. Ferreira, D. Roqueiro, G. Ceddia, S. Nowaczyk, J. Gama, R. Ribeiro, R. Gavaldà, E. Masciari, Z. Ras, E. Ritacco, F. Naretto, A. Theissler, P. Biecek, W. Verbeke, G. Schiele, F. Pernkopf, M. Blott, I. Bordino, I. L. Danesi, G. Ponti, L. Severini, A. Appice, G. Andresini, I. Medeiros, G. Graça, L. Cooper, N. Ghazaleh, J. Richiardi, D. Saldana, K. Sechidis, A. Canakoglu, S. Pido, P. Pinoli, A. Bifet, ... S. Pashami (Eds.), Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2022, Proceedings (Vol. 1752, pp. 385-401). Springer International Publishing AG. https://doi.org/10.1007/978-3-031-23618-1_26Meer informatie over deze publicatie