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Results: 57,925
Number of items: 57,925
  • Benjamin, C., Quaedackers, E., & Baker, D. (Eds.) (2020). The Routledge Companion to Big History. Routledge. https://doi.org/10.4324/9780429299322
  • Brochhagen, T. (2020). Signalling under Uncertainty: Interpretative Alignment without a Common Prior. British Journal for the Philosophy of Science, 71(2), 471–496. https://doi.org/10.1093/bjps/axx058
  • Zhang, H., Antoncecchi, A., Edward, S., Setija, I., Planken, P., & Witte, S. (2020). Unraveling Phononic, Optoacoustic, and Mechanical Properties of Metals with Light-Driven Hypersound. Physical Review Applied, 13(1), Article 014010. https://doi.org/10.1103/PhysRevApplied.13.014010
  • Byvshev, P., Mettes, P., & Xiao, Y. (2020). Heterogeneous Non-Local Fusion for Multimodal Activity Recognition. In ICMR '20: proceedings of the 2020 International Conference on Multimedia Retrieval : June 08-11, 2020, Dublin, Ireland (pp. 63-72). The Association for Computing Machinery. https://doi.org/10.1145/3372278.3390675
  • Dijt, P., & Mettes, P. (2020). Trajectory Prediction Network for Future Anticipation of Ships. In ICMR '20: proceedings of the 2020 International Conference on Multimedia Retrieval : June 08-11, 2020, Dublin, Ireland (pp. 73-81). The Association for Computing Machinery. https://doi.org/10.1145/3372278.3390676
  • Groen, I., Piantoni, G., Flinker, A., Devore, S., Devinsky, O., Doyle, W., Ramsey, N., Petridou, N., & Winawer, J. (2020). Modeling the temporal dynamics of neural responses in human visual cortex. Journal of Vision, 20(11), Article 582. https://doi.org/10.1167/jov.20.11.582
  • Gulshad, S., & Smeulders, A. (2020). Explaining with Counter Visual Attributes and Examples. In ICMR '20: proceedings of the 2020 International Conference on Multimedia Retrieval : June 08-11, 2020, Dublin, Ireland (pp. 35-43). The Association for Computing Machinery. https://doi.org/10.1145/3372278.3390672
  • Qi, M., Qin, J., Zhen, X., Huang, D., Yang, Y., & Luo, J. (2020). Few-Shot Ensemble Learning for Video Classification with SlowFast Memory Networks. In MM '20: proceedings of the 28th ACM International Conference on Multimedia : October 12-16, 2020, Virtual Event, USA (pp. 3007-3015). Association for Computing Machinery. https://doi.org/10.1145/3394171.3416269
  • Wang, H., Zhang, X., Hu, Y., Hu, Y., Yang, Y., Cao, X., & Zhen, X. (2020). Few-Shot Semantic Segmentation with Democratic Attention Networks. In A. Vedaldi, H. Bischof, T. Brox, & J.-M. Frahm (Eds.), Computer Vision – ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020 : proceedings (Vol. XIII, pp. 730-746). (Lecture Notes in Computer Science; Vol. 12358). Springer. https://doi.org/10.1007/978-3-030-58601-0_43
  • Regazzoni, F., Bhasin, S., Pour, A. A., Alshaer, I., Aydin, F., Aysu, A., Beroulle, V., Di Natale, G., Franzon, P., Hely, D., Homma, N., Ito, A., Jap, D., Kashyap, P., Polian, I., Potluri, S., Ueno, R., Vatajelu, E.-I., & Yli-Mäyry, V. (2020). Machine Learning and Hardware security: Challenges and Opportunities: Invited Talk. In 2020 IEEE/ACM International Conference on Computer-Aided Design (ICADD): digest of technical papers : November 2-5, 2020: virtual conference Article 141 (Proceedings of the International Conference on Computer-Aided Design; Vol. 39). Association for Computing Machinery. https://doi.org/10.1145/3400302.3416260
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