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  1. 2019
  2. Published
  3. 2018
  4. Published
  5. Published
  6. E-pub ahead of print
  7. Published
  8. Published
  9. Published
  10. 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
  11. Published
  12. 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.
  13. Published
  14. 2017
  15. Published
  16. Published
  17. Published
  18. Published
  19. Published
    Peeters, R. L. M. (2017). Smart mathematics. Maastricht: Maastricht University.
  20. Published
  21. Published
  22. Published
  23. Published
    Zhao, W., Roos, N., & Peeters, R. (2017). 3D Motion Consistency Analysis for Segmentation in 2D Video Projection. In M. Felsberg, A. Heyden, & N. Krüger (Eds.), Computer Analysis of Images and Patterns (pp. 440-452). Cham: Springer.
  24. Published
  25. Published
  26. Published
  27. 2016
  28. Published
    Lenz, M., Peeters, R., Arts, I., de Kok, T., & Ertaylan, G. (2016). Deconvolution of the white adipose tissue cell types from whole genome gene expression profiles. In A. G. Hoekstra (Ed.), VPH2016, book of abstracts (pp. 528-531). Amsterdam: University of Amsterdam.
  29. 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
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