Researcher

Smirnov, E.N.

Assistant Professor

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  1. 2018
  2. Published
  3. E-pub ahead of print
  4. Published
    Ismailoglu, F., Smirnov, E., Peeters, R., Zhou, S., & Collins, P. (2018). Heterogeneous Domain Adaptation Based on Class Decomposition Schemes. In D. Phung, V. Tseng, G. Webb, B. Ho, M. Ganji, & L. Rashidi (Eds.), Advances in Knowledge Discovery and Data Mining: PAKDD 2018 (pp. 169-182). (Lecture Notes in Computer Science; Vol. 10937). Cham: Springer. https://doi.org/10.1007/978-3-319-93034-3_14
  5. Published
  6. Published
    Zhou, S., Smirnov, E., Schoenmakers, G., Peeters, R., & Jiang, T. (2018). Conformal feature-selection wrappers for instance transfer. In Proceedings of the 7th Symposium on Conformal and Probabilistic Prediction and Applications, COPA 2018, 11-13 June 2018, Maastricht, The Netherlands. (Vol. 91, pp. 96-113). Proceedings of Machine Learning Research.
  7. Published
    Neeven, J., & Smirnov, E. (2018). Conformal stacked weather forecasting. In Proceedings of the 7th Symposium on Conformal and Probabilistic Prediction and Applications, COPA 2018, 11-13 June 2018, Maastricht, The Netherlands. (Vol. 91, pp. 220-233). Proceedings of Machine Learning Research.
  8. Published
    Beganovic, D., & Smirnov, E. (2018). Ensemble Cross-Conformal Prediction. In Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, ICDM Workshops, Singapore, Singapore, November 17-20, 2018 (pp. 870-877). IEEE.
  9. Published
  10. 2017
  11. Published
    Braun, F., Caelen, O., Smirnov, E. N., Kelk, S., & Lebichot, B. (2017). Improving Card Fraud Detection Through Suspicious Pattern Discovery. In Proceedings of IEA/AIE 2017: Advances in Artificial Intelligence: From Theory to Practice (Vol. 10351, pp. 181-190). [Chapter 21] (Advances in Artificial Intelligence: From Theory to Practice; Vol. 10351). Springer Verlag. https://doi.org/10.1007/978-3-319-60045-1_21
  12. Published
  13. Published
  14. Published
  15. Published
    Houbraken, M., Sun, C., Smirnov, E., & Driessens, K. (2017). Discovering Hidden Course Requirements and Student Competences from Grade Data. In Adjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization (pp. 147-152). (UMAP '17). New York, NY, USA: ACM. https://doi.org/10.1145/3099023.3099034
  16. Published
  17. Published
    Driessens, K., Koprinska, I., Santos, O. C., Smirnov, E., Yacef, K., & Zaiane, O. (2017). UMAP 2017 EdRecSys Workshop Organizers' Welcome & Organization. In Adjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization
  18. 2016
  19. Published
    Davarzani, N., Peeters, R., Smirnov, E., Karel, J., & Brunner-la Rocca, H. (2016). Ranking Accuracy for Logistic-GEE Models. In H. Boström, A. Knobbe, C. Soares, & P. Papapetrou (Eds.), Lecture Notes in Computer Science (Vol. 9897, pp. 14-25). (Advances in Intelligent Data Analysis XV; Vol. 9897). Springer. https://doi.org/10.1007/978-3-319-46349-0_2
  20. Published
    Zhou, S., Smirnov, E., Schoenmakers, G., & Peeters, R. (2016). Decision Trees for Instance Transfer. In Proceedings of the 5th International Symposium on Conformal and Probabilistic Prediction with Applications (pp. 116-127)
  21. 2015
  22. Published
    Jacob, J. (Author), Sanditov, B. (Author), Smirnov, E. (Author), Wintjes, R. (Author), Surpatean, A. (Author), Notten, A. (Author), & Sasso, S. (Author). (2015). Inventory of the patents and publications of FP7 projects in the field of ICT. Data set/Database, Brussels: European Commission. Retrieved from http://hdl.handle.net/10411/VPUXOM
  23. Published
    Zhou, S., Smirnov, E. N., Schoenmakers, G., Peeters, R., & Driessens, K. (2015). A Non-parametric Conformity-Based Test for Transfer Decisions. In Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2015) (pp. 628-635). Vietri sul Mare, Italy.
  24. Published
  25. Published
  26. Published
    Zhou, S., Schoenmakers, G., Smirnov, E. N., Peeters, R., Driessens, K., & Chen, S. (2015). Largest Source Subset Selection for Instance Transfer. In Proceedings of The 7th Asian Conference on Machine Learning (pp. 423-438). Hong Kong, China.
  27. 2014
  28. Published
  29. 2013
  30. Published
  31. 2012
  32. Published
    Dai, H., Liu, J., & Smirnov, E. (Eds.) (2012). Reliable Knowledge Discovery. Springer.
  33. 2009
  34. Published
  35. Published
  36. 2004
  37. Published
  38. Published
    Smirnov, EN., Sprinkhuizen-Kuyper, IG., & van den Herik, HJ. (2004). One-sided instance-based boundary sets. In R. Meo, PL. Lanzi, & M. Klemettinen (Eds.), DATABASE SUPPORT FOR DATA MINING APPLICATIONS: DISCOVERING KNOWLEDGE WITH INDUCTIVE QUERIES (pp. 270-288). (Lecture Notes in Artificial Intelligence; Vol. 2682). Springer Verlag.
  39. 2001
  40. Published