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Hu, Q., Daza, D., Swinkels, L., Ūsaitė, K., 't Hoen, R.-J., & Groth, P. (2023). Harnessing the Web and Knowledge Graphs for Automated Impact Investing Scoring. Paper presented at KDD Workshop: Fragile Earth: AI for Climate Sustainability - from Wildfire Disaster Management to Public Health and Beyond, Long Beach, California, United States. https://doi.org/10.48550/arXiv.2308.02622 -
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 -
Christianen, M. J. A., Smulders, F. O. H., Vonk, J. A., Becking, L. E., Bouma, T. J., Engel, S. M., James, R. K., Nava, M. I., de Smit, J. C., van der Zee, J. P., Palsbøll, P. J., & Bakker, E. S. (2023). Seagrass ecosystem multifunctionality under the rise of a flagship marine megaherbivore. Global Change Biology, 29(1), 215-230. https://doi.org/10.1111/gcb.16464 -
Villaseñor, J. I., Lennon, D. J., Picco, A., Shenar, T., Marchant, P., Langer, N., Dufton, P. L., Nardini, F., Evans, C. J., Bodensteiner, J., de Mink, S. E., Götberg, Y., Soszyński, I., Taylor, W. D., & Sana, H. (2023). The B-type Binaries Characterisation Programme - II: VFTS 291: a stripped star from a recent mass transfer phase. Monthly Notices of the Royal Astronomical Society, 525(4), 5121-5145. https://doi.org/10.1093/mnras/stad2533 -
Correa, D. F., Duivenvoorden, J. F., ter Steege, H., & Amazon Tree Diversity Network (2023). Geographic patterns of tree dispersal modes in Amazonia and their ecological correlates. Global Ecology and Biogeography, 32(1), 49-69. https://doi.org/10.1111/geb.13596 -
Liu, H., Chen, P., Ouyang, X., Gao, H., Yan, B., Grosso, P., & Zhao, Z. (2023). Robustness challenges in Reinforcement Learning based time-critical cloud resource scheduling: A Meta-Learning based solution. Future Generation Computer Systems, 146, 18-33. https://doi.org/10.1016/j.future.2023.03.029 -
Pascucci, M., & Sileno, G. (2023). A formal, diagrammatic, and operational study of normative relations. Journal of Logic and Computation, 33(4), 764-795. https://doi.org/10.1093/logcom/exad011 -
Zhou, X., Belloum, A., Lees, M. H., van Engers, T., & de Laat, C. (2023). The dynamics of corruption under an optional external supervision service. Applied Mathematics and Computation, 457, Article 128172. https://doi.org/10.1016/j.amc.2023.128172
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