1. 2018
  2. van der Velde, M., van Vugt, M., & Taatgen, N. (2018). Modelling the Effect of Depression on Working Memory. In I. Juvina, J. Houpt, & C. Myers (Eds.), Proceedings of the 16th International Conference on Cognitive Modeling (pp. 200). Madison, WI: University of Wisconsin.
  3. Bernal Arzola, V., Guryev, V., Bischoff, R., Horvatovich, P., & Grzegorczyk, M. (2018). Significance Tests for Gaussian Graphical Models Based on Shrunken Densities. In proceedings of the 33rd Inter- national Workshop on Statistical Modelling (IWSM), University of Bristol, UK, 16-20 July 2018 (Vol. 2, pp. 27). University of Bristol.
  4. Kilicer, P., Labrande, H., Lercier, R., Ritzenthaler, C., Sijsling, J., & Streng, M. (2018). Plane quartics over Q with complex multiplication. Acta Arith., 185(2), 127-156. https://doi.org/10.4064/aa170227-16-3
  5. Han, W., Trentelman, H. L., Wang, Z., & Shen, Y. (2018). Distributed fault detection observer design for linear systems. In Proceedings of the 23rd International Symposium on the Mathematical Theory of Networks and Systems, MTNS 2018, July 16-20, Hong Kong, China (pp. 838 - 844). Hong Kong: MTNS.
  6. Villmann, T., Ravichandran, J. R. D., Saralajew, S., & Biehl, M. (2018). Dropout in Learning Vector Quantization Networks for Regularized Learning and Classification Confidence Estimation. 15-21. Abstract from Mittweida Workshop on Computational Intelligence , Mittweida, Germany.
  7. Biehl, M. (2018). The Statistical Physics of Learning (in a nutshell): News from the stoneage of neural networks. 23-23. Abstract from Mittweida Workshop on Computational Intelligence , Mittweida, Germany. https://doi.org/10.1007/s10618-017-0506-1
  8. Kausar, R., & Trenn, S. (2018). Water hammer modeling for water networks via hyperbolic PDEs and switched DAEs. In C. Klingenberg, & M. Westdickenberg (Eds.), XVI International Conference on Hyperbolic Problems: Theory, Numerics and Applications of Hyperbolic Problems II (pp. 123-135). (Springer Proceedings in Mathematics & Statistics (PROMS); Vol. 237). Cham: Springer. https://doi.org/10.1007/978-3-319-91548-7_9
  9. Chanda, S., Okafor, E., Hamel, S., Stutzmann, D., & Schomaker, L. (2018). Deep Learning for Classification and as Tapped-Feature Generator in Medieval Word-Image Recognition. In 13th IAPR International Workshop on Document Analysis Systems (DAS) (pp. 217-222). IEEE. https://doi.org/10.1109/DAS.2018.82
  10. DelPozo-Banos, M., John, A., Petkov, N., Berridge, D. M., Southern, K., LLoyd, K., ... Manuel Travieso, C. (2018). Using Neural Networks with Routine Health Records to Identify Suicide Risk: Feasibility Study. JMIR mental health, 5(2), [10144]. https://doi.org/10.2196/10144
  11. Strisciuglio, N., Tylecek, R., Petkov, N., Biber, P., Hemming, J., van Henten, E., ... Fisher, R. B. (2018). Trimbot2020: An outdoor robot for automatic gardening. In 50th International Symposium on Robotics, ISR 2018 VDE VERLAG GMBH.
  12. van der Plas, P., Veldman, A. E. P., Seubers, H., Helder, J., & Lam, K-W. (2018). Adaptive grid refinement for two-phase offshore applications.. Paper presented at 37th International Conference on Ocean, Offshore and Arctic Engineering, Madrid, Spain.
  13. de Koster, A., Spenader, J., & Hendriks, P. (2018). Child-like Adults: Testing Distributivity using a Dual Task. Poster session presented at Annual Conference on Architectures and Mechanisms for Language Processing, Berlin, Germany.
  14. Smedinga, R., & Biehl, M. (Eds.) (2018). 15th SC@RUG 2018 proceedings 2017-2018. Rijksuniversiteit Groningen.
  15. Veldman, A. E. P., Seubers, H., Hosseini Zahraei, S. M., van der Plas, P., Wellens, P. R., & Huijsmans, R. H. M. (2018). Preventing the added-mass instability in fluid-solid coupling for offshore applications. Paper presented at 37th International Conference on Ocean, Offshore and Arctic Engineering, Madrid, Spain.
  16. Duivenvoorden, S., Oliver, S., Scudder, J. M., Greenslade, J., Riechers, D. A., Wilkins, S. M., ... Zemcov, M. (2018). Red, redder, reddest: SCUBA-2 imaging of colour-selected Herschel sources. Monthly Notices of the Royal Astronomical Society, 477(1), 1099-1119. https://doi.org/10.1093/mnras/sty691
  17. Staron, M. (Guest ed.), Sahraoui, H. (Guest ed.), & Telea, A. (Guest ed.) (2018). Special section on Visual Analytics in Software Engineering. Information and Software Technology, 98, 117-117. https://doi.org/10.1016/j.infsof.2018.03.001
  18. van Lenthe, P. G., Verros, S., Hekman, E. E. G., Carloni, R., & Koopman, H. F. J. M. (2018). Comparing assistive admittance control algorithms for a trunk supporting exoskeleton. 2828-2834. Paper presented at 2018 IEEE International Conference on Robotics and Automation (ICRA), Brisbane, Australia. https://doi.org/10.1109/ICRA.2018.8461062
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