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Results: 57,874
Number of items: 57,874
  • Open Access
    Pasman, R. (2024). C. albicans and S. aureus: 1+1=3. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Schroetter, I., Berné, O., Joblin, C., Canin, A., Chown, R., Sidhu, A., Habart, E., Peeters, E., Lai, T. S. Y., Candian, A., Chakraborty, S., Petrignani, A., Trahin, B., Van De Putte, D., Alarcón, F., & PDRs4All program (2024). PDRs4All VII: The 3.3 µm aromatic infrared band as a tracer of physical properties of the interstellar medium in galaxies. Astronomy and Astrophysics, 685, Article A78. https://doi.org/10.1051/0004-6361/202348974
  • Open Access
    Evers, K., Farisco, M., & Pennartz, C. M. A. (2024). Assessing the commensurability of theories of consciousness: On the usefulness of common denominators in differentiating, integrating and testing hypotheses. Consciousness and Cognition, 119, Article 103668. https://doi.org/10.1016/j.concog.2024.103668
  • Open Access
    Wittner, R., Holub, P., Mascia, C., Frexia, F., Müller, H., Plass, M., Allocca, C., Betsou, F., Burdett, T., Cancio, I., Chapman, A., Chapman, M., Courtot, M., Curcin, V., Eder, J., Elliot, M., Exter, K., Goble, C., Golebiewski, M., ... Geiger, J. (2024). Toward a common standard for data and specimen provenance in life sciences. Learning Health Systems, 8(1), Article e10365. https://doi.org/10.1002/lrh2.10365
  • Open Access
    Sidiropoulos, G., & Kanoulas, E. (2024). Improving the Robustness of Dense Retrievers Against Typos via Multi-Positive Contrastive Learning. In N. Goharian, N. Tonellotto, Y. He, A. Lipani, G. McDonald, C. Macdonald, & I. Ounis (Eds.), Advances in Information Retrieval: 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, UK, March 24–28, 2024 : proceedings (Vol. III, pp. 297–305). (Lecture Notes in Computer Science; Vol. 14610). Springer. https://doi.org/10.1007/978-3-031-56063-7_21
  • Open Access
    Sloot, P. M. A., Quax, R., & Gu, M. (2024). Natural Information Processing. In D. C. Krakauer (Ed.), Foundational Papers in Complexity Science. - Volume 4: 1989-2000 (pp. 2447-2532). SFI Press. https://doi.org/10.37911/9781947864559.78
  • Open Access
    Luo, L., Kovalchuk, S., Krzhizhanovskaya, V., Paszynski, M., de Mulatier, C., Dongarra, J., & Sloot, P. M. A. (2024). Trends in Computational Science: Natural Language Processing and Network Analysis of 23 Years of ICCS Publications. In L. Franco, C. de Mulatier, M. Paszynski, V. V. Krzhizhanovskaya, J. J. Dongarra, & P. M. A. Sloot (Eds.), Computational Science – ICCS 2024: 24th International Conference, Malaga, Spain, July 2–4, 2024 : proceedings (Vol. II, pp. 19-33). (Lecture Notes in Computer Science; Vol. 14833). Springer. https://doi.org/10.1007/978-3-031-63751-3_2
  • Open Access
    Kocmi, T., Avramidis, E., Bawden, R., Bojar, O., Dvorkovich, A., Federmann, C., Fishel, M., Freitag, M., Gowda, T., Grundkiewicz, R., Haddow, B., Karpinska, M., Koehn, P., Marie, B., Monz, C., Murray, K., Nagata, M., Popel, M., Popović, M., ... Zouhar, V. (2024). Findings of the WMT24 General Machine Translation Shared Task: The LLM Era Is Here but MT Is Not Solved Yet. In B. Haddow, T. Kocmi, P. Koehn, & C. Monz (Eds.), Ninth Conference on Machine Translation : Proceedings of the Conference: WMT 2024 : November 15-16, 2024 (pp. 1–46). Association for Computational Linguistics. https://doi.org/10.18653/v1/2024.wmt-1.1
  • Open Access
    Dorkenwald, M., Barazani, N., Snoek, C. G. M., & Asano, Y. M. (2024). PIN: Positional Insert Unlocks Object Localisation Abilities in VLMs. In 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition: CVPR 2024 : Seattle, Washington, USA, 16-22 June 2024 : proceedings (pp. 13548-13558). IEEE Computer Society. https://doi.org/10.48550/arXiv.2402.08657, https://doi.org/10.1109/CVPR52733.2024.01286
  • Open Access
    The LIGO Scientific Collaboration, The Virgo Collaboration, The KAGRA Collaboration, Abbott, R. H., Antier, S. B., Bhardwaj, U., Bulten, H. J., Caudill, S. E., Guo, Y., Kalaghatgi, C. V., Leonova, E., Linde, F. L., London, L. T., Miller, B. K., Mukherjee, S., Nissanke, S. M., Phukon, K. S., Raaijmakers, G., van Bakel, N., ... Vardaro, M. (2024). A Joint Fermi-GBM and Swift-BAT Analysis of Gravitational-wave Candidates from the Third Gravitational-wave Observing Run. Astrophysical Journal, 964(2), Article 149. https://doi.org/10.3847/1538-4357/ad1eed
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