Search results

    Filter results

  • Full text

  • Document type

  • Publication year

  • Organisation

Results: 57,944
Number of items: 57,944
  • Hellings, J., Leek, P., & Bredeweg, B. (2019). StudyGotchi: Tamagotchi-Like Game-Mechanics to Motivate Students During a Programming Course. In M. Scheffel, J. Broisin, V. Pammer-Schindler, A. Ioannou, & J. Schneider (Eds.), Transforming Learning with Meaningful Technologies: 14th European Conference on Technology Enhanced Learning, EC-TEL 2019, Delft, The Netherlands, September 16–19, 2019 : proceedings (pp. 622-625). (Lecture Notes in Computer Science; Vol. 11722). Springer. https://doi.org/10.1007/978-3-030-29736-7_53
  • Paauw, M., Koes, R., & Quattrocchio, F. M. (2019). Alteration of flavonoid pigmentation patterns during domestication of food crops. Journal of Experimental Botany, 70(15), 3719-3735. https://doi.org/10.1093/jxb/erz141
  • Amato, A., Cavallini, E., Walker, A. R., Pezzotti, M., Bliek, M., Quattrocchio, F., Koes, R., Ruperti, B., Bertini, E., Zenoni, S., & Tornielli, G. B. (2019). The MYB5-driven MBW complex recruits a WRKY factor to enhance the expression of targets involved in vacuolar hyper-acidification and trafficking in grapevine. Plant Journal, 99(6), 1220-1241. https://doi.org/10.1111/tpj.14419
  • Hughes, J., Shimizu, M., & Visser, A. (2019). A Review of Robot Rescue Simulation Platforms for Robotics Education. In S. Chalup, T. Niemueller, J. Suthakorn, & M.-A. Williams (Eds.), RoboCup 2019: Robot World Cup XXIII (pp. 86-98). (Lecture Notes in Computer Science; Vol. 11531), (Lecture Notes in Artificial Intelligence). Springer. https://doi.org/10.1007/978-3-030-35699-6_7
  • Samson, L., van Noord, N., Booij, O., Hofmann, M., Gavves, E., & Ghafoorian, M. (2019). I Bet You Are Wrong: Gambling Adversarial Networks for Structured Semantic Segmentation. In 2019 International Conference on Computer Vision, Workshops: proceedings : 27 October-2 November 2019, Seoul, Korea (pp. 951-960). IEEE Computer Society. https://doi.org/10.1109/ICCVW.2019.00124
  • Cao, X., Qiu, B., Li, X., Shi, Z., Xu, G., & Xu, J. (2019). Multidimensional Balance-Based Cluster Boundary Detection for High-Dimensional Data. IEEE Transactions on Neural Networks and Learning Systems, 30(6), 1867-1880. https://doi.org/10.1109/TNNLS.2018.2874458
  • de la Riva, M., & Mettes, P. (2019). Bayesian 3D ConvNets for Action Recognition from Few Examples. In 2019 International Conference on Computer Vision, Workshops: proceedings : 27 October-2 November 2019, Seoul, Korea (pp. 1337-1343). IEEE Computer Society. https://doi.org/10.1109/ICCVW.2019.00169
  • Ibrahimi, S., Chen, S., Arya, D., Câmara, A., Chen, Y., Crijns, T., van der Goes, M., Mensink, T., van Miltenburg, E., Odijk, D., Thong, W., Zhao, J., & Mettes, P. (2019). Interactive Exploration of Journalistic Video Footage through Multimodal Semantic Matching. In MM'19: proceedings of the 27th ACM Conference on Multimedia : October 21-25, 2019, Nice, France (pp. 2196-2198). Association for Computing Machinery. https://doi.org/10.1145/3343031.3350597
  • Kilias, T., Löser, A., Gers, F., Zhang, Y., Koopmanschap, R., & Kersten, M. (2019). IDEL: In-Database Neural Entity Linking. In 2019 IEEE International Conference on Big Data and Smart Computing (BigComp): proceedings : 27 February -2 March 2019, Kyoto, Japan (pp. 56-63). IEEE. https://doi.org/10.1109/BIGCOMP.2019.8679486
  • Poorter, L., Rozendaal, D. M. A., Bongers, F., de Almeida-Cortez, J. S., Almeyda Zambrano, A. M., Álvarez, F. S., Andrade, J. L., Arreola Villa, L. F., Balvanera, P., Becknell, J. M., Bentos, T. V., Bhaskar, R., Boukili, V., Brancalion, P. H. S., Broadbent, E. N., César, R. G., Chave, J., Chazdon, R. L., Dalla Colletta, G., ... Westoby, M. (2019). Wet and dry tropical forests show opposite successional pathways in wood density but converge over time. Nature Ecology and Evolution, 3(6), 928-934. https://doi.org/10.1038/s41559-019-0882-6
Page 1403 of 5795