1. 2018
  2. Kim, Y., Telea, A., & Trager, S. (2018). High-Dimensional Astronomical Data Using Dimension Reduction. Poster session presented at XXX Canary Islands Winter School of Astrophysics, Tenerife, Spain.
  3. You, J., Wilkinson, M. H. F., & Trager, S. (2018). Scalable max-tree and alpha-tree algorithm for high resolution, multispectral, and extreme dynamic range images. Poster session presented at XXX Canary Islands Winter School of Astrophysics, Tenerife, Spain.
  4. Azzopardi, G., Foggia, P., Greco, A., Saggese, A., & Vento, M. (2018). Gender recognition from face images using trainable shape and colour features. In International Conference of Pattern Recognition (pp. 1983-1988). IEEE. https://doi.org/10.1109/ICPR.2018.8545771
  5. Charalampidou, S., Arvanitou, E-M., Ampatzoglou, A., Chatzigeorgiou, A., Avgeriou, P., & Stamelos, I. (2018). Structural Quality Metrics as Indicators of the Long Method Bad Smell: An Empirical Study. In 44th Conference on Software Engineering and Advanced Applications (SEAA) IEEE computer society. https://doi.org/10.1109/SEAA.2018.00046
  6. Bunte, K., Smith, D. J., Chappell, M. J., Hassan-Smith, Z. K., Tomlinson, J. W., Arlt, W., & Tino, P. (2018). Learning pharmacokinetic models for in vivo glucocorticoid activation. Journal of Theoretical Biology, 455, 222-231. https://doi.org/10.1016/j.jtbi.2018.07.025
  7. Fiorini, L., & Aiello, M. (2018). Household CO2-efficient energy management. In Energy Informatics (Proceedings of the 7th DACH+ Conference on Energy Informatics; Vol. 1, No. Suppl. 1). Springer. https://doi.org/10.1186/s42162-018-0021-7
  8. Gattinger, M., & Wagemaker, J. (2018). Towards an Analysis of Dynamic Gossip in Netkat. In J. Desharnais, W. Guttmann, & S. Joosten (Eds.), Relational and Algebraic Methods in Computer Science: 17th International Conference, RAMiCS 2018, Groningen, The Netherlands, October 29 – November 1, 2018, Proceedings (pp. 280-297). (Relational and Algebraic Methods in Computer Science; Vol. 11194). Springer International Publishing, Cham, Switzerland. https://doi.org/10.1007/978-3-030-02149-8_17
  9. Okafor, E., Berendsen, G., Schomaker, L., & Wiering, M. (2018). Detection and Recognition of Badgers Using Deep Learning. In V. Kurkova, Y. Manolopoulos, B. Hammer, L. Iliadis, & I. Maglogiannis (Eds.), International Conference on Artificial Neural Networks (pp. 554-563). (Lecture Notes in Computer Science book series; Vol. 11141). Springer International Publishing, Cham, Switzerland. https://doi.org/10.1007/978-3-030-01424-7_54
  10. Veldman, A., Seubers, J., Hosseini Zahraei, S. M., van der Plas, P., & Wellens, P. R. (2018). Strong quasi-simultaneous coupling of fluid-structure interaction in offshore applications. Paper presented at Numerical Towing Tank Symposium , Cortona, Italy.
  11. Mohades Kasaei, H., Lopes, L. S., & Tomé, A. M. (2018). Coping with Context Change in Open-Ended Object Recognition without Explicit Context Information. Paper presented at 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, Madrid, Spain. https://doi.org/10.1109/IROS.2018.8593922
  12. Waarde, H. J. V., Tesi, P., & Camlibel, M. K. (2018). Identifiability of undirected dynamical networks: A graph-theoretic approach. In Proc. of the 57th IEEE Conference on Decision and Control (4 ed., Vol. 2, pp. 682-688). Miami, USA: IEEE Control Systems Letters. https://doi.org/10.1109/LCSYS.2018.2846630
  13. Strisciuglio, N., Vallina, M. L., Petkov, N., & Salinas, R. M. (2018). Camera Localization in Outdoor Garden Environments Using Artificial Landmarks. In 2018 IEEE International Work Conference on Bioinspired Intelligence, IWOBI 2018 - Proceedings [8464139] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IWOBI.2018.8464139
  14. Sprenger, S., & van Rij, J. (2018). The development of idiom knowledge across the lifespan. Poster session presented at Annual Conference on Architectures and Mechanisms for Language Processing, Berlin, Germany.
  15. Kurs, J., Vrany, J., Ghafari, M., Lungu, M., & Nierstrasz, O. (2018). Efficient parsing with parser combinators. Science of computer programming, 161, 57-88. https://doi.org/10.1016/j.scico.2017.12.001
  16. Anderson, J. R., Borst, J. P., Fincham, J. M., Ghuman, A. S., Tenison, C., & Zhang, Q. (2018). The Common Time Course of Memory Processes Revealed. Psychological Science, 29(9), 1463-1474. https://doi.org/10.1177/0956797618774526
  17. Coquille, L., van Enter, A. C. D., Le Ny, A., & Ruszel, W. M. (2018). Absence of Dobrushin States for 2d Long-Range Ising Models. Journal of Statistical Physics, 172(5), 1210-1222. https://doi.org/10.1007/s10955-018-2097-7
  18. de Vos, M., Kooi, B., & Verbrugge, R. (2018). Provability logic meets the knower paradox. In G. D’Agostino, & G. Bezhanishvilii (Eds.), Advances in Modal Logic 2018: Accepted Short Papers (pp. 31-35). Rijksuniversiteit Groningen.
  19. Verbrugge, R. (2018). Zero-one laws with respect to models of provability logic and two Grzegorczyk logics. In G. D’Agostino, & G. Bezhanishvilii (Eds.), Advances in Modal Logic 2018: Accepted Short Papers (pp. 115-120)
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