Peeters, R.L.M.

Full professor - Key domain chair, Professor

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  1. 2019
  2. Published
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  5. 2018
  6. Published
  7. Published
  8. E-pub ahead of print
  9. Published
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  11. Published
  12. 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.
  13. Published
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    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.
  15. Published
  16. 2017
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  19. Published
  20. Published
  21. Published
    Peeters, R. L. M. (2017). Smart mathematics. Maastricht: Maastricht University.
  22. Published
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  25. 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.
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  29. 2016
  30. 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.
  31. 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.
  32. Published
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  34. 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)
  35. 2015
  36. Published
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  42. 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.
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    Cluitmans, M., de Jong, M., Karel, J., Bonizzi, P., Prinzen, F., Peeters, R., ... Volders, P. (2015). High-resolution validation of localization of electrocardiographic imaging shows a centimeter-accuracy. In International Society for Computerized Electrocardiology (ISCE) Dolce Hayes Mansion, San Jose, CA, USA.
  47. 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.
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  50. 2014
  51. Published
    Peeters, R., & Karel, J. (2014). Data driven design of an orthogonal wavelet with vanishing moments. In 21st International Symposium on Mathematical Theory of Networks and Systems (pp. 1665-1672)
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    Cluitmans, M., Bonizzi, P., Karel, J., Peeters, R., Volders, P., & Westra, R. (2014). Inverse reconstruction of epicardial potentials is improved by novel regularization methods and extensive validaton. In Mathematical Biosciences Institute (MBI), Workshop 3: Integrating Modalities and Scales in Life Science Imaging Ohio, USA.
  54. Published
  55. 2013
  56. Published
  57. Published
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