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Results: 227
Number of items: 227
  • Open Access
    Lippert, F., Kranstauber, B., van Loon, E. E., & Forré, P. (2023). Deep Gaussian Markov Random Fields for Graph-Structured Dynamical Systems. In A. Oh, T. Naumann, A. Globerson, K. Saenko, M. Hardt, & S. Levine (Eds.), 37th Conference on Neural Information Processing Systems (NeurIPS 2023): 10-16 December 2023, New Orleans, Louisana, USA (pp. 76248-76271). (Advances in Neural Information Processing Systems; Vol. 36). Neural Information Processing Systems Foundation. https://doi.org/10.48550/arXiv.2306.08445, https://doi.org/10.52202/075280-3333
  • Open Access
    van Erp, J., Sage, E., Bouten, W., van Loon, E., Camphuysen, K. C. J., & Shamoun-Baranes, J. (2023). Thermal soaring over the North Sea and implications for wind farm interactions. Marine Ecology Progress Series, 723, 185-200. https://doi.org/10.3354/meps14315
  • Lippert, F., Kranstauber, B., Forré, P., & van Loon, E. E. (2022). Data from: Learning to predict spatio-temporal movement dynamics from weather radar networks [Data set]. Zenodo. https://doi.org/10.5281/zenodo.6874789
  • Lippert, F., Kranstauber, B., Forré, P., & van Loon, E. E. (2022). Data from: Learning to predict spatio-temporal movement dynamics from static sensor networks [Data set]. Zenodo. https://doi.org/10.5281/zenodo.6364941
  • Open Access
    Salvatori, M., De Groeve, J., van Loon, E., De Baets, B., Morellet, N., Focardi, S., Bonnot, N. C., Gehr, B., Griggio, M., Heurich, M., Kroeschel, M., Licoppe, A., Moorcroft, P., Pedrotti, L., Signer, J., Van de Weghe, N., & Cagnacci, F. (2022). Day versus night use of forest by red and roe deer as determined by Corine Land Cover and Copernicus Tree Cover Density: Assessing use of geographic layers in movement ecology. Landscape Ecology, 37(5), 1453–1468. https://doi.org/10.1007/s10980-022-01416-w
  • Open Access
    Lippert, F., Kranstauber, B., Forré, P. D., & van Loon, E. E. (2022). Learning to predict spatiotemporal movement dynamics from weather radar networks. Methods in Ecology and Evolution, 13(12), 2811-2826. https://doi.org/10.1111/2041-210X.14007
  • Open Access
    Lippert, F., Kranstauber, B., van Loon, E. E., & Forré, P. (2022). Physics-informed inference of aerial animal movements from weather radar data. Paper presented at Workshop AI for Science: Progress and Promises, New Orleans, Louisiana, United States. https://doi.org/10.48550/arXiv.2211.04539
  • Held, P., Adam, L., Alberts, N., Oud, J., & Loon, E. v. (2021, May 30). Human Foraging Experiment Dataset [Data set]. Zenodo. https://doi.org/10.5281/zenodo.4871777
  • Wiesenberg, G. L. B., Jansen, B., Van Loon, E. E., & Thomas, C. (2021). Compiled n-alkane dataset from plants and soils across various studies [Data set]. PANGAEA. https://doi.org/10.1594/pangaea.938917
  • van Erp, J., van Loon, E., Camphuysen, K. C., & Shamoun-Baranes, J. (2021, August 9). Data and analysis script for analysing temporal patterns in bird abundance on the North Sea [Data set]. Universiteit van Amsterdam. https://doi.org/10.21942/uva.14261609.v2
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