E.N. Smirnov
Recent publications
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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
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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_26More information about this publication
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Maas, S. L., Jin, H., Lu, C., Nagenborg, J., Karel, J. M. H., Cavill, R., Sikkink, C. J. J. M., Nadeau, S., Gijbels, M., Mees, B. M. E., Smirnov, E., Sluimer, J. C., Martins, G. A., Van der Vorst, E. P. C., & Biessen, E. A. L. (2022). Identification of a PRDM1-regulated T cell network to regulate T cell driving plaque inflammation in human and mouse atherosclerosis. European Heart Journal, 43, 3049-3049. https://doi.org/10.1093/eurheartj/ehac544.3049More information about this publication
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Goossens, P., Lu, C., Cao, J., Gijbels, M. J., Karel, J. M. H., Wijnands, E., Claes, B. S. R., Fazzi, G. E., Hendriks, T. F. E., Wouters, K., Smirnov, E., van Zandvoort, M. J. M., Balluff, B., Cuypers, E., Donners, M. M. P. C., Heeren, R. M. A., & Biessen, E. A. L. (2022). Integrating multiplex immunofluorescent and mass spectrometry imaging to map myeloid heterogeneity in its metabolic and cellular context. Cell Metabolism, 34(8), 1214-1225.e6. https://doi.org/10.1016/j.cmet.2022.06.012More information about this publication
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Jin, H., Maas, S. L., Lu, C., Nagenborg, J., Manca, M., Karel, J. M. H., Cavill, R., Waring, O., Sikkink, C. J. J. M., Mees, B. M. E., Daemen, M. J. A. P., Smirnov, E., Sluimer, J., Van der Vorst, E., & Biessen, E. A. L. (2022). Identification Of Cd8+T Cell Prdm1 In High-Risk Human Plaques And Its Regulatory Role In Murine Lesion Development. Atherosclerosis, 355, E9-E9.More information about this publication