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Results: 57,958
Number of items: 57,958
  • Vogel, S., Klumpers, F., Navarro Schröder, T., Oplaat, K. T., Krugers, H. J., Oitzl, M. S., Joëls, M., Doeller, C. F., & Fernández, G. (2017). Stress Induces a Shift Towards Striatum-Dependent Stimulus-Response Learning via the Mineralocorticoid Receptor. Neuropsychopharmacology, 42(6), 1262–1271. https://doi.org/10.1038/npp.2016.262
  • Cao, Z., Guo, H., Zhang, J., Oliehoek, F., & Fastenrath, U. (2017). Maximizing the Probability of Arriving on Time: A Practical Q-Learning Method. In Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, Twenty-Ninth Innovative Applications of Artificial Intelligence Conference, Seventh Symposium on Educational Advances in Artificial Intelligence: 4-9 February 2017, San Francisco, California, USA (Vol. 6, pp. 4481-4487). AAAI Press. https://ojs.aaai.org/index.php/AAAI/article/view/11170
  • Sant'Ana, A. S., Koutsoumanis, K., Brul, S., & Pérez-Rodríguez, F. (2017). Special issue on 9th International Conference on Predictive Modelling in Food (Rio de Janeiro, Brazil). International Journal of Food Microbiology, 240, 1-2. https://doi.org/10.1016/j.ijfoodmicro.2016.10.003
  • De Luca, G., Breedijk, R., Hoebe, R., Stallinga, S., & Manders, E. (2017). Re-scan confocal microscopy (RCM) improves the resolution of confocal microscopy and increases the sensitivity. Methods and applications in fluorescence, 5(1), Article 015002. https://doi.org/10.1088/2050-6120/5/1/015002
  • Barberis, M., Todd, R. G., & van der Zee, L. (2017). Advances and challenges in logical modeling of cell cycle regulation: perspective for multi-scale, integrative yeast cell models. FEMS Yeast Research, 17(1), Article fow103. https://doi.org/10.1093/femsyr/fow103
  • Du, W., Angermayr, S. A., Jongbloets, J. A., Molenaar, D., Bachmann, H., Hellingwerf, K. J., & Branco Dos Santos, F. (2017). Nonhierarchical Flux Regulation Exposes the Fitness Burden Associated with Lactate Production in Synechocystis sp. PCC6803. ACS Synthetic Biology, 6(3), 395-401. https://doi.org/10.1021/acssynbio.6b00235
  • Knaus, U. G., Hertzberger, R., Pircalabioru, G. G., Yousefi, S. P. M., & Branco dos Santos, F. (2017). Pathogen control at the intestinal mucosa - H2O2 to the rescue. Gut Microbes, 8(1), 67-74. https://doi.org/10.1080/19490976.2017.1279378
  • Fernando, B., Gavves, E., Oramas M., J., Ghodrati, A., & Tuytelaars, T. (2017). Rank Pooling for Action Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 39(4), 773-787. https://doi.org/10.1109/TPAMI.2016.2558148
  • van Mourik, J. M. (2017). Natural versus anthropogenic genesis of mardels on the Gutland plateau: a geoecological study of mysterious landforms. LAP Lambert Academic Publishing.
  • Overgoor, G., Mazloom, M., Worring, M., Rietveld, R., & van Dolen, W. (2017). A Spatio-Temporal Category Representation for Brand Popularity Prediction. In ICMR '17: proceedings of the 2017 ACM International Conference on Multimedia Retrieval : June 6-9, 2017, Bucharest, Romania (pp. 233-241). The Association for Computing Machinery. https://doi.org/10.1145/3078971.3078998
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