  | Heidarian Dehkordi, R., Denis, A., Timmermans, C., & Tychon, B. (21 September 2018). Spatial modelling of weeds and crop growth in century-old charcoal kiln sites with integration of high and very high resolution remote sensing [Paper presentation]. Thesis presentation to the members of EED unit in Arlon campus of enviornment, Arlon, Belgium. |
  | Desmet, L., Venet, D., Doffagne, E., Timmermans, C., Legrand, C., Burzykowski, T., & Buyse, M. (2017). Use of the Beta-Binomial Model for Central Statistical Monitoring of Multicenter Clinical Trials. Statistics in Biopharmaceutical Research, 9 (1), 1-11. doi:10.1080/19466315.2016.1164751  Peer Reviewed verified by ORBi |
 | Lebigre, C., Timmermans, C., & Soulsbury, C. D. (2016). No behavioural response to kin competition in a lekking species. Behavioral Ecology and Sociobiology, 70 (9), 1457-1465. doi:10.1007/s00265-016-2154-7 Peer Reviewed verified by ORBi |
 | Timmermans, C., Doffagne, E., Venet, D., Desmet, L., Legrand, C., Burzykowski, T., & Buyse, M. (2016). Statistical monitoring of data quality and consistency in the Stomach Cancer Adjuvant Multi-institutional Trial Group Trial. Gastric Cancer, 19 (1), 24-30. doi:10.1007/s10120-015-0533-9 Peer Reviewed verified by ORBi |
 | Timmermans, C., Venet, D., & Burzykowski, T. (2016). Data-driven risk identification in phase III clinical trials using central statistical monitoring. International Journal of Clinical Oncology, 21, 38-45. doi:10.1007/s10147-015-0877-5 Peer Reviewed verified by ORBi |
 | Fryzlewicz, P., & Timmermans, C. (2015). SHAH: SHape-Adaptive Haar wavelets for image processing. Journal of Computational and Graphical Statistics, 25 (3), 879-898. doi:10.1080/10618600.2015.1048345 Peer Reviewed verified by ORBi |
 | Timmermans, C., & von Sachs, R. (2015). A novel semi-distance for measuring dissimilarities of curves with sharp local patterns. Journal of Statistical Planning and Inference, 160, 35-50. doi:10.1016/j.jspi.2014.11.007 Peer Reviewed verified by ORBi |
 | von Sachs, R., & Timmermans, C. (2015). The BAGIDIS distance: about a fractal topology, with applications to functional classification and prediction. In A. Antoniadis, J.-M. Poggi, ... X. Brossat (Eds.), Modeling and Stochastic Learning for Forecasting in High Dimensions. New York, United States - New York: Springer New York LLC. doi:10.1007/978-3-319-18732-7_16 Peer reviewed |
 | Hochedez, J.-F., Timmermans, C., Hauchecorne, A., & Meftah, M. (2014). Dark signal correction for a lukecold frame-transfer CCD: New method and application to the solar imager of the PICARD space mission. Astronomy and Astrophysics, 561 (A17), 1-16. doi:10.1051/0004-6361/201321607 Peer Reviewed verified by ORBi |
 | Desmet, L., Venet, D., Doffagne, E., Timmermans, C., Burzykowski, T., Legrand, C., & Buyse, M. (2014). Linear mixed-effects models for central statistical monitoring of multicenter clinical trials. Statistics in Medicine, 33 (30), 5265-5279. doi:10.1002/sim.6294 Peer Reviewed verified by ORBi |
 | Timmermans, C., & von Sachs, R. (2013). BAGIDIS: Statistically investigating curves with sharp local patterns using a new functional measure of dissimilarity. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/231462. |
 | Timmermans, C., De Tullio, P., Lambert, V., Frederich, M., Rousseau, R., & von Sachs, R. (2012). Advantages of the Bagidis methodology for metabonomics analyses: application to a spectroscopic study of Age-related Macular Degeneration. In Proceedings of the 12th European Symposium on Statistical Methods for the Food Industry. Peer reviewed |
 | Timmermans, C., Delsol, L., & von Sachs, R. (2012). Using Bagidis in nonparametric functional data analysis: Predicting from curves with sharp local features. Journal of Multivariate Analysis, 115, 421-444. doi:10.1016/j.jmva.2012.10.013 Peer Reviewed verified by ORBi |
 | Timmermans, C. (2012). Investigating functional data with sharp local features with applications to spectroscopy [Doctoral thesis, UCL - Université Catholique de Louvain]. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/231171 |
 | Timmermans, C., & Fryzlewicz, P. (2012). Shah: Shape-Adaptive Haar Wavelet Transform For Images With Application To Classification. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/231460. |
 | Timmermans, C., Delsol, L., & von Sachs, R. (2011). Bases Giving Distances. A New Semimetric and its Use for Nonparemetric Functional Data Analysis. In F. Ferraty (Ed.), Recent Advances in Functional Data Analysis and Related Topics (pp. 307-313). Springer. doi:10.1007/978-3-7908-2736-1_48 Peer reviewed |
 | Timmermans, C., & von Sachs, R. (2010). BAGIDIS, a new method for statistical analysis of differences between curves with sharp discontinuities. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/231464. |
 | Timmermans, C., Delouille, V., & von Sachs, R. (2009). Comparaison et classifications de séries temporelles via leur développement en ondelettes de Haar asymétriques. In Actes des XVIe rencontres de la Société Francophone de Classification (pp. 57-60). Peer reviewed |