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Results: 216,623
Number of items: 216,623
  • Open Access
    Lostaglio, M., Belenchia, A., Levy, A., Hernández-Gómez, S., Fabbri, N., & Gherardini, S. (2023). Kirkwood-Dirac quasiprobability approach to the statistics of incompatible observables. Quantum, 7, Article 1128. https://doi.org/10.22331/q-2023-10-09-1128
  • Open Access
    Voskamp, A., Fritz, S. A., Köcke, V., Biber, M. F., Nogueira Brockmeyer, T., Bertzky, B., Forrest, M., Goldstein, A., Henderson, S., Hickler, T., Hof, C., Kastner, T., Lang, S., Manning, P., Mascia, M. B., McFadden, I. R., Niamir, A., Noon, M., O'Donnell, B., ... Böhning-Gaese, K. (2023). Utilizing multi-objective decision support tools for protected area selection. One Earth, 6(9), 1143-1156. https://doi.org/10.1016/j.oneear.2023.08.009
  • Open Access
    Salvatore, C. (2023). Inference with non-probability samples and survey data integration: a science mapping study. Metron, 81(1), 83-107. https://doi.org/10.1007/s40300-023-00243-6
  • Dignum, E., Boterman, W., Flache, A., & Lees, M. (2023). Modeling Mechanisms of School Segregation and Policy Interventions: A Complexity Perspective. In J. Mikyška, C. de Mulatier, M. Paszynski, V. V. Krzhizhanovskaya, J. J. Dongarra, & P. M. A. Sloot (Eds.), Computational Science – ICCS 2023: 23rd International Conference, Prague, Czech Republic, July 3–5, 2023 : proceedings (Vol. III, pp. 74-89). (Lecture Notes in Computer Science; Vol. 14075). Springer. https://doi.org/10.1007/978-3-031-36024-4_6
  • Hooftman, D., Mohammadi Ziabari, S. S., & Snijder, J. (2023). Exploring CycleGAN for Bias Reduction in Gender Classification: Generative Modelling for Diversifying Data Augmentation. In H. Lu, M. Blumenstein, S.-B. Cho, C.-L. Liu, Y. Yagi, & T. Kamiya (Eds.), Pattern Recognition: 7th Asian Conference, ACPR 2023, Kitakyushu, Japan, November 5–8, 2023 : proceedings (Vol. III, pp. 26-40). (Lecture Notes in Computer Science; Vol. 14408). Springer. https://doi.org/10.1007/978-3-031-47665-5_3
  • Deshamudre, R., Mohammadi Ziabari, S. S., & van Houten, M. (2023). Enhancing AI Adoption in Healthcare: A Data Strategy for Improved Heart Disease Prediction Accuracy Through Deep Learning Techniques. In P. Delir Haghighi, E. Pardede, G. Dobbie, V. Yogarajan, N. A. S. ER, G. Kotsis, & I. Khalil (Eds.), Information Integration and Web Intelligence: 25th International Conference, iiWAS 2023, Denpasar, Bali, Indonesia, December 4–6, 2023 : proceedings (pp. 13-19). (Lecture Notes in Computer Science; Vol. 14416). Springer. https://doi.org/10.1007/978-3-031-48316-5_2
  • Open Access
    Jeub, L. G. S., Colavizza, G., Dong, X., Bazzi, M., & Cucuringu, M. (2023). Local2Global: a distributed approach for scaling representation learning on graphs. Machine Learning, 112(5), 1663-1692. https://doi.org/10.1007/s10994-022-06285-7
  • Open Access
    Maggioni, E., Rossetti, M. G., Allen, N. B., Batalla, A., Bellani, M., Chye, Y., Cousijn, J., Goudriaan, A. E., Hester, R., Hutchison, K., Li, C.-SR., Martin-Santos, R., Momenan, R., Sinha, R., Schmaal, L., Solowij, N., Suo, C., van Holst, R. J., Veltman, D. J., ... Lorenzetti, V. (2023). Brain volumes in alcohol use disorder: Do females and males differ? A whole-brain magnetic resonance imaging mega-analysis. Human Brain Mapping, 44(13), 4652-4666. https://doi.org/10.1002/hbm.26404
  • Sijtsma, K. (2023). Never Waste a Good Crisis: Lessons Learned from Data Fraud and Questionable Research Practices. (ASA-CRC series on statistical reasoning in science and society). CRC Press. https://doi.org/10.1201/9781003256847
  • Riddell, C., Kret, M., Zijlstra, T., & Nikolic, M. (2023). Fearful apes, happy apes: is fearfulness associated with uniquely human cooperation? Behavioral and Brain Sciences, 46, Article e76. https://doi.org/10.1017/S0140525X22001911
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