1. 2018
  2. 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.
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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.
  8. 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.
  9. 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.
  10. Smedinga, R., & Biehl, M. (Eds.) (2018). 15th SC@RUG 2018 proceedings 2017-2018. Rijksuniversiteit Groningen.
  11. 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.
  12. 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
  13. 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
  14. 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
  15. de Koster, A., Spenader, J., & Hendriks, P. (2018). Are Children’s Overly Distributive Interpretations and Spreading Errors Related? In A. B. Bertolini, & M. J. Kaplan (Eds.), BUCLD 42: Proceedings of the 42nd annual Boston University Conference on Language Development (Vol. 1, pp. 413-426). Somerville, MA: Cascadilla Press.
  16. Weber, A., Ameryan, M., Wolstencroft, K., Stork, L., Heerlien, M., & Schomaker, L. (2018). Towards a Digital Infrastructure for Illustrated Handwritten Archives. In M. Ioannides (Ed.), Lecture Notes in Computer Science, vol. 10605: Final Conference of the Marie Skłodowska-Curie Initial Training Network for Digital Cultural Heritage, ITN-DCH 2017, Olimje, Slovenia (pp. 155-166). Springer. https://doi.org/10.1007/978-3-319-75826-8_13
  17. Mohammadi, M., Peletier, R., Schleif, F-M., Petkov, N., & Bunte, K. (2018). Globular cluster detection in the Gaia survey. In 26th European Symposium on Artificial Neural Networks, ESANN 2018 d-side publishing.
  18. Nolte, A., Wang, L., & Biehl, M. (2018). Prototype-based analysis of GAMA galaxy catalogue data. In M. Verleysen (Ed.), ESANN, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (Vol. 26, pp. 339-344). Louvain-La-Neuve: Ciaco - i6doc.com.
  19. Biehl, M., Bunte, K., Longo, G., & Tino, P. (2018). Machine Learning and Data Analysis in Astroinformatics. In M. Verleysen (Ed.), ESANN, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (Vol. 26, pp. 307-314). Ciaco - i6doc.com.

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