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  • 2023

    Interpretable and Reliable Rule Classification Based on Conformal Prediction

    Abdelqader, H., Smirnov, E., Pont, M. & Geijselaers, M., 2023, MACHINE LEARNING AND PRINCIPLES AND PRACTICE OF KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2022, PT I. Koprinska, I., Mignone, P., Guidotti, R., Jaroszewicz, S., Froning, H., Gullo, F., Ferreira, PM., Roqueiro, D., Ceddia, G., Nowaczyk, S., Gama, J., Ribeiro, R., Gavalda, R., Masciari, E., Ras, Z., Ritacco, E., Naretto, F., Theissler, A., Biecek, P., Verbeke, W., Schiele, G., Pernkopf, F., Blott, M., Bordino, I., Danesi, IL., Ponti, G., Severini, L., Appice, A., Andresini, G., Medeiros, I., Graca, G., Cooper, L., Ghazaleh, N., Richiardi, J., Saldana, D., Sechidis, K., Canakoglu, A., Pido, S., Pinoli, P., Bifet, A. & Pashami, S. (eds.). Springer International Publishing AG, Vol. 1752. p. 385-401 17 p. (Communications in Computer and Information Science, Vol. 1752).

    Research output: Chapter in Book/Report/Conference proceedingChapterAcademic

  • Multi-view Semi-supervised Learning Using Privileged Information

    Smirnov, E., Delava, R., Diris, R. & Nikolaev, N., 1 Jan 2023, Engineering Applications of Neural Networks - 24th International Conference, EAAAI/EANN 2023, Proceedings. Iliadis, L., Maglogiannis, I., Alonso, S., Jayne, C. & Pimenidis, E. (eds.). Springer, Vol. 1826 CCIS. p. 144-152 9 p. (Communications in Computer and Information Science, Vol. 1826 CCIS).

    Research output: Chapter in Book/Report/Conference proceedingChapterAcademic

  • 2021

    Shapley-Value Data Valuation for Semi-supervised Learning

    Courtnage, C. & Smirnov, E., 2021, Discovery Science. DS 2021. Soares, C. & Torgo, L. (eds.). Springer, Cham, p. 94-108 (Lecture Notes in Computer Science, Vol. 12986).

    Research output: Chapter in Book/Report/Conference proceedingChapterAcademic

  • 2018

    Heterogeneous Domain Adaptation Based on Class Decomposition Schemes

    Ismailoglu, F., Smirnov, E., Peeters, R., Zhou, S. & Collins, P., 19 Jun 2018, Advances in Knowledge Discovery and Data Mining: PAKDD 2018. Phung, D., Tseng, V., Webb, G., Ho, B., Ganji, M. & Rashidi, L. (eds.). Cham: Springer, p. 169-182 (Lecture Notes in Computer Science, Vol. 10937).

    Research output: Chapter in Book/Report/Conference proceedingChapterAcademic

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  • 2017

    Improving Card Fraud Detection Through Suspicious Pattern Discovery

    Braun, F., Caelen, O., Smirnov, E. N., Kelk, S. & Lebichot, B., 3 Jun 2017, Advances in Artificial Intelligence: From Theory to Practice: 30th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2017. Springer, Cham, p. 181-190 Chapter 21. (Lecture Notes in Computer Science, Vol. 10351).

    Research output: Chapter in Book/Report/Conference proceedingChapterAcademic

  • 2016

    Ranking Accuracy for Logistic-GEE Models

    Davarzani, N., Peeters, R., Smirnov, E., Karel, J. & Brunner-la Rocca, H., 21 Sept 2016, IDA 2016: Advances in Intelligent Data Analysis XV . Boström, H., Knobbe, A., Soares, C. & Papapetrou, P. (eds.). Springer International Publishing AG, p. 14-25 12 p. (Lecture Notes in Computer Science, Vol. 9897).

    Research output: Chapter in Book/Report/Conference proceedingChapterAcademic

    Open Access
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    38 Downloads (Pure)
  • 2004

    One-sided instance-based boundary sets

    Smirnov, EN., Sprinkhuizen-Kuyper, IG. & van den Herik, HJ., 2004, Database Support for Data Mining Applications: Discovering Knowledge with Inductive Queries. Meo, R., Lanzi, PL. & Klemettinen, M. (eds.). Springer Verlag, p. 270-288 19 p. (Lecture Notes in Computer Science, Vol. 2682).

    Research output: Chapter in Book/Report/Conference proceedingChapterAcademic