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Results: 217,775
Number of items: 217,775
  • Open Access
    Jiang, W., Luo, T., Liang, Z., Chen, K., He, J., Zhao, Z., Wen, J., Zhao, L., & Song, W. (2024). FBENet: Feature-Level Boosting Ensemble Network for Hashimoto’s Thyroiditis Ultrasound Image Classification. IEEE Journal of Biomedical and Health Informatics, 28(9), 5360–5369. https://doi.org/10.1109/jbhi.2024.3414389
  • Open Access
    van der Wal, O., Bachmann, D., Leidinger, A., van Maanen, L., Zuidema, W., & Schulz, K. (2024). Undesirable Biases in NLP: Addressing Challenges of Measurement. Journal of Artificial Intelligence Research, 79, 1-40. https://doi.org/10.1613/jair.1.15195
  • Open Access
    Børsting, C. K., Batuev, A., Shalvi, S., & Orquin, J. L. (2024). Choosing not to see: Visual inattention as a method of information avoidance. Journal of Experimental Social Psychology, 115, Article 104661. https://doi.org/10.1016/j.jesp.2024.104661
  • Open Access
    Hurlbert, M., & Gupta, J. (2024). The split ladder of participation: A literature review and dynamic path forward. Environmental Science and Policy, 157, Article 103773. https://doi.org/10.1016/j.envsci.2024.103773
  • Open Access
    Di Vece, M., Garlaschelli, D., & Pijpers, F. P. (2024). Triadic Pattern Detection on Inter‐Industry Production Networks: A Multi‐Commodity Analysis. (Discussion paper CBS). Statistics Netherlands. https://www.cbs.nl/en-gb/background/2024/48/triadic-pattern-detection-on-inter-industry-production-networks
  • Open Access
    Stor, M. L. E. (2024). Moving towards a personalized approach in the management of vascular malformations. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Piasecki, S., Morosoli, S., Helberger, N., & Naudts, L. (2024). AI-generated journalism: Do the transparency provisions in the AI Act give news readers what they hope for? Internet Policy Review, 13(4). https://doi.org/10.14763/2024.4.1810
  • Open Access
    Surikuchi, A. K., Fernández, R., & Pezzelle, S. (2024). Not (yet) the whole story: Evaluating Visual Storytelling Requires More than Measuring Coherence, Grounding, and Repetition. In Y. Al-Onaizan, M. Bansal, & Y.-N. Chen (Eds.), The 2024 Conference on Empirical Methods in Natural Language Processing : Findings of EMNLP 2024: EMNLP 2024 : November 12-16, 2024 (pp. 11597–11611). Association for Computational Linguistics. https://doi.org/10.18653/v1/2024.findings-emnlp.679
  • Open Access
    de Heer Kloots, M., & Zuidema, W. (2024). Human-like Linguistic Biases in Neural Speech Models: Phonetic Categorization and Phonotactic Constraints in Wav2Vec2.0. Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, 25, 4593-4597. https://doi.org/10.21437/Interspeech.2024-2490
  • Open Access
    Nieborg, D., Poell, T., Caplan, R., & van Dijck, J. (2024). Introduction to the special issue on Locating and theorising platform power. Internet Policy Review, 13(2). https://doi.org/10.14763/2024.2.1781
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