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Results: 57,928
Number of items: 57,928
  • Open Access
    de Carvalho, E. R., Hoveling, R. J. M., van Noorden, C. J. F., Schlingemann, R. O., & Aalders, M. C. G. (2020). Functional Imaging of the Ocular Fundus Using an 8-Band Retinal Multispectral Imaging System. Instruments, 4(2), Article 12. https://doi.org/10.3390/instruments4020012
  • Open Access
    Martín-Vélez, V., Mohring, B., van Leeuwen, C. H. A., Shamoun-Baranes, J., Thaxter, C. B., Baert, J. M., Camphuysen, C. J., & Green, A. J. (2020). Functional connectivity network between terrestrial and aquatic habitats by a generalist waterbird, and implications for biovectoring. Science of the Total Environment, 705, Article 135886. https://doi.org/10.1016/j.scitotenv.2019.135886
  • Open Access
    Xie, X., Mao, J., Liu, Y., de Rijke, M., Chen, H., Zhang, M., & Ma, S. (2020). Preference-based Evaluation Metrics for Web Image Search. In SIGIR '20: proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval : July 25-30, 2020, virtual event, China (pp. 369-378). Association for Computing Machinery. https://doi.org/10.1145/3397271.3401146
  • Open Access
    Crielaard, L., Dutta, P., Quax, R., Nicolaou, M., Merabet, N., Stronks, K., & Sloot, P. M. A. (2020). Social norms and obesity prevalence: From cohort to system dynamics models. Obesity Reviews, 21(9), Article e13044. https://doi.org/10.1111/obr.13044
  • Open Access
    Worrall, D., & Welling, M. (2020). Deep Scale-spaces: Equivariance Over Scale. In H. Wallach, H. Larochelle, A. Beygelzimer, F. d'Alché-Buc, E. Fox, & R. Garnett (Eds.), 32nd Conference on Neural Information Processing Systems (NeurIPS 2019): Vancouver, Canada, 8-14 December 2019 (Vol. 10, pp. 7334-7346). (Advances in Neural Information Processing Systems; Vol. 32). Neural Information Processing Systems Foundation. https://papers.nips.cc/paper/2019/hash/f04cd7399b2b0128970efb6d20b5c551-Abstract.html
  • Open Access
    Oh, C., Adamczewski, K., & Park, M. (2020). Radial and Directional Posteriors for Bayesian Deep Learning. In AAAI-20, IAAI-20, EAAI-20 proceedings: Thirty-Fourth AAAI Conference on Artificial Intelligence, Thirty-Second Conference on Innovative Applications of Artificial Intelligence, The Tenth Symposium on Educational Advances in Artificial Intelligence : February 7–12th, 2020, New York Hilton Midtown, New York, New York, USA (Vol. 4, pp. 5298-5305). (Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 34). AAAI Press. https://doi.org/10.1609/aaai.v34i04.5976
  • Open Access
    Calderón-Loor, M., Cuesta, F., Pinto, E., & Gosling, W. D. (2020). Carbon sequestration rates indicate ecosystem recovery following human disturbance in the equatorial Andes. PLoS ONE, 15(3), Article e0230612. https://doi.org/10.1371/journal.pone.0230612
  • Open Access
    Schamböck, V. (2020). Random graph modeling of polymer networks. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Schelter, S. (2020). Technical Perspective: Query Optimization for Faster Deep CNN Explanations. SIGMOD Record, 49(1), 60. https://doi.org/10.1145/3422648.3422662
  • Open Access
    Kasper, V., Marino, J., Ji, S., Gritsev, V., Schmiedmayer, J., & Demler, E. (2020). Simulating a quantum commensurate-incommensurate phase transition using two Raman-coupled one-dimensional condensates. Physical Review B, 101(22), Article 224102. https://doi.org/10.1103/PhysRevB.101.224102
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