E.N. Smirnov
Recent publications
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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/s13073-025-01541-6More information about this publication
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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 (Vol. 266, pp. 193-213)More information about this publication
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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/s10994-024-06722-9More information about this publication
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Schlembach, F., Smirnov, E., Winands, M. H. M., Luo, Z., Nguyen, KA., Papadopoulos, H., Lofstrom, T., Carlsson, L., & Bostrom, H. (2025). Dynamic Conformal Prediction for Multi-Target Regression: Optimising Informational Efficiency under Jo int Validity. In FOURTEENTH SYMPOSIUM ON CONFORMAL AND PROBABILISTIC PREDICTION WITH APPLICATIONS, COPA 2025 (pp. 193-+)More information about this publication
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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.0292030More information about this publication
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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/FUZZ52849.2023.10309707More information about this publication
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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.2023.06.914More information about this publication
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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.202203053More information about this publication
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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/More information about this publication
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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_13More information about this publication