E.N. Smirnov
Publicaties
Meest recente publicaties:
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Jin, H., Goossens, P., Juhasz, P., Eijgelaar, W-J., Manca, M., Karel, J., Smirnov, E., Sikkink, C. J. J. M., Mees, B., Waring, O., van Kuijk, K., Fazzi, G., Gijbels, M., Kutmon, M., Evelo, C., Hedin, U., Daemen, M. J., Sluimer, J., Matic, L. P., & Biessen, E. (2021). Integrative multiomics analysis of human atherosclerosis reveals a serum response factor-driven network associated with intraplaque hemorrhage. Clinical and Translational Medicine, 11(6), [e458]. https://doi.org/10.1002/ctm2.458
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Lopez Jaramillo, W., & Smirnov, E. (2021). Shapley-value based inductive conformal prediction. In Proceedings of Machine Learning Research: Volume 152: Conformal and Probabilistic Prediction and Applications (Vol. 152, pp. 52-71) https://proceedings.mlr.press/v152/jaramillo21a/jaramillo21a.pdf
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Courtnage, C., & Smirnov, E. (2021). Shapley-Value Data Valuation for Semi-supervised Learning. In C. Soares, & L. Torgo (Eds.), Discovery Science. DS 2021 (pp. 94-108). Springer, Cham. Lecture Notes in Computer Science Vol. 12986 https://doi.org/10.1007/978-3-030-88942-5_8
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O'Donovan, S. D., Driessens, K., Lopatta, D., Wimmenauer, F., Lukas, A., Neeven, J., Smirnov, E., Lenz, M., Ertaylan, G., Jennen, D. G. J., van Riel, N. A. W., Cavill, R., Peeters, R. L. M., & de Kok, T. M. C. M. (2020). Use of deep learning methods to translate drug-induced gene expression changes from rat to human primary hepatocytes. PLOS ONE, 15(8), [e0236392]. https://doi.org/10.1371/journal.pone.0236392
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Zhou, S., Smirnov, E., Schoenmakers, G., Peeters, R., & Wu, X. (2020). Conformal Feature-Selection Wrappers and ensembles for negative-transfer avoidance. Neurocomputing, 397, 309-319. https://doi.org/10.1016/j.neucom.2019.09.105
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Gammerman, A., Vovk, V., Luo, Z., Smirnov, E., & Peeters, R. (2020). Special Issue on Conformal and Probabilistic Prediction with Applications. Neurocomputing, 397, 264-265. https://doi.org/10.1016/j.neucom.2019.11.025
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Ismailoglu, F., Cavill, R., Smirnov, E., Zhou, S., Collins, P., & Peeters, R. (2020). Heterogeneous Domain Adaptation for IHC Classification of Breast Cancer Subtypes. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 17(1), 347-353. https://doi.org/10.1109/TCBB.2018.2877755
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Warnes, Z., & Smirnov, E. (2020). Course Recommender Systems with Statistical Confidence. In Proceedings of the 13th International Conference on Educational Data Mining, EDM 2020, Fully virtual conference, July 10-13, 2020 (pp. 509-515). educationaldatamining.org. https://educationaldatamining.org/files/conferences/EDM2020/papers/paper_103.pdf
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Gammerman, A., Vovk, V., Luo, Z., Smirnov, E., Cherubin, G., & Christini, M. (2020). Preface: Conformal and Probabilistic Prediction with Applications. In Proceedings of Machine Learning Research: Conformal and Probabilistic Prediction with Applications (COPA 2020) (Vol. 128, pp. 1-3)
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Morsomme, R., & Smirnov, E. (2020). Valid Prediction Intervals for Course Grades with Conformal Prediction. In Proceedings of the 19th IEEE International Conference on Machine Learning and Applications: ICMLA IEEE.

E.N. Smirnov
Universitair docent
Data Science & Knowledge Engineering, Faculty of Science and Engineering