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Results: 78,744
Number of items: 78,744
  • Open Access
    Kowalchuk, M. A., Gupta, S., & Awasthi, N. (2024). Applying pre-trained deep learning models for Multi-Label Classification of Realistic and Noisy Electrocardiogram Images. Computing in Cardiology, 51. https://doi.org/10.22489/cinc.2024.496
  • Open Access
    Tsvilodub, P., Marty, P., Ramotowska, S., Romoli, J., & Franke, M. (2024). Experimental Pragmatics with Machines: Testing LLM Predictions for the Inferences of Plain and Embedded Disjunctions. In L. Samuelson, S. Frank, M. Toneva, A. Mackey, & E. Hazeltine (Eds.), 46th Annual Meeting of the Cognitive Science Society (CogSci 2024): Dynamics of Cognition : Rotterdam, the Netherlands, 24-27 July 2024 (Vol. 6, pp. 3960-3967). (Proceedings of the Annual Meeting of the Cognitive Science Society; Vol. 46). Cognitive Science Society. https://escholarship.org/uc/item/7t58h8h3
  • Open Access
    Casiraghi, M., Curini, L., & Nai, A. (2024). Populism in the eye of the beholder? A conjoint experiment on citizens’ identification of populists. European Journal of Political Research, 63(1), 214-235. https://doi.org/10.1111/1475-6765.12589
  • Open Access
    Achetib, N., Danser, S., Min, K., Köksal, Z., Aalders, M. C. G., & van Dam, A. (2024). Short communications: Exploring temporal fluorescent changes in the composition of human semen stains. Journal of Chromatography B, 1246, Article 124278. https://doi.org/10.1016/j.jchromb.2024.124278
  • Open Access
    Orzan, N., Acar, E., Grossi, D., Mannion, P., & Rădulescu, R. (2024). Learning in Multi-Objective Public Goods Games with Non-Linear Utilities. In U. Endriss, F. S. Melo, K. Bach, A. Bugarín-Diz, J. M. Alonso-Moral, S. Barro, & F. Heintz (Eds.), ECAI 2024: 27th European Conference on Artificial Intelligence, 19–24 October 2024, Santiago de Compostela, Spain : including 13th Conference on Prestigious Applications of Intelligent Systems (PAIS 2024) : proceedings (pp. 2749-2756). (Frontiers in Artificial Intelligence and Applications; Vol. 392). IOS Press. https://doi.org/10.3233/FAIA240809
  • Open Access
    Opiełka, G., Rosenbusch, H., Vijverberg, V., & Stevenson, C. E. (2024). Do Large Language Models Solve ARC Visual Analogies Like People Do? In L. Samuelson, S. Frank, M. Toneva, A. Mackey, & E. Hazeltine (Eds.), 46th Annual Meeting of the Cognitive Science Society (CogSci 2024): Dynamics of Cognition : Rotterdam, the Netherlands, 24-27 July 2024 (Vol. 1, pp. 579-586). (Proceedings of the Annual Meeting of the Cognitive Science Society; Vol. 46). Cognitive Science Society. https://escholarship.org/uc/item/4bp4m6cf
  • Open Access
    Spantidaki Kyriazi, F., Bogaerts, S., Denissen, J. J. A., Yuan, S., Dufner, M., & Garofalo, C. (2024). A multi-method investigation of motive dispositions: Affiliative and antagonistic dispositions in psychopathy. Journal of Criminal Psychology, 14(2), 99-119. https://doi.org/10.1108/JCP-04-2023-0021
  • Open Access
    Liu, Y. (2024). Mapping and computation of dynamic competition, in life and disease. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Bootsma, J. (2024). Photolatent alkyd curing with iron. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Marácz, L. (2024). Hungary and Dutch Fencing Diplomacy after the First World War. International Relations and International Law Journal, 108(4), 24-34. https://doi.org/10.26577/IRILJ.2024.v108-i4-a3
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