Search results

  • Full text

  • Document type

    • Publication year

  • Organisation

Results: 216,565
Number of items: 216,565
  • Open Access
    Kiyavash, N., & Mooij, J. M. (2024). Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence: Preface. Proceedings of Machine Learning Research, 244, i-xi. https://proceedings.mlr.press/v244/kiyavash24a.html
  • Open Access
    Wigard, I., Meyerbröker, K., Ehring, T., Topper, M., Arntz, A., & Emmelkamp, P. (2024). Skills training followed by either EMDR or narrative therapy for posttraumatic stress disorder in adult survivors of childhood abuse: a randomized controlled trial. European Journal of Psychotraumatology, 15(1), Article 2332104. https://doi.org/10.1080/20008066.2024.2332104
  • Open Access
    Guarneri, L., Li, Q., Bauer, T., Song, J. H., Saunders, A. P., Liu, F., Brongersma, M. L., & van de Groep, J. (2024). Temperature-Dependent Excitonic Light Manipulation with Atomically Thin Optical Elements. Nano Letters, 24(21), 6240-6246. https://doi.org/10.1021/acs.nanolett.4c00694
  • Open Access
    Chen, C., Cao, C., Fang, R., Wang, L., & Borsboom, D. (2024). Revealing the psychopathological pathway linking trauma to post-traumatic stress disorder: longitudinal network approach. BJPsych Open, 10(1), Article e2. https://doi.org/10.1192/bjo.2023.615
  • Open Access
    Nasiri, S. (2024). The Idealised Subject of Freedom and the Refugee. In V. Clavé-Mercier, & M. Wuth (Eds.), Decolonising Political Concepts (pp. 61-79). (Routledge Research on Decoloniality and New Postcolonialisms ). Routledge. https://doi.org/10.4324/9781003293460-5
  • Open Access
    Konings, F., Sumter, S. R., & Vandenbosch, L. (2024). Gender Roles and Mobile Dating applications: Exploring Links Between User Characteristics and Traditional Gender Expressions in Self-Presentations. Archives of Sexual Behavior, 53(6), 2361–2376. https://doi.org/10.1007/s10508-024-02884-8
  • Open Access
    Gavros, A., Hsu, Y.-C., & Karatzas, K. (2024). Modelling Smell Events in Urban Pittsburgh with Machine and Deep Learning Techniques. Atmosphere, 15(6), Article 731. https://doi.org/10.3390/atmos15060731
  • Open Access
    Schuurmans, J. . H. A., Masson, T. M., Zondag, S. D. A., Buskens, P., & Noël, T. (2024). Solar-Driven Continuous CO2 Reduction to CO and CH4 using Heterogeneous Photothermal Catalysts: Recent Progress and Remaining Challenges. ChemSusChem, 17(4), Article e202301405. https://doi.org/10.1002/cssc.202301405
  • Open Access
    Kolar Narayanappa, A., & Amrit, C. (2024). An Analysis of the Barriers Preventing the Implementation of MLOps. In S. K. Sharma, Y. K. Dwivedi, B. Metri, B. Lal, & A. Elbanna (Eds.), Transfer, Diffusion and Adoption of Next-Generation Digital Technologies: IFIP WG 8.6 International Working Conference on Transfer and Diffusion of IT, TDIT 2023, Nagpur, India, December 15–16, 2023 : proceedings (Vol. I, pp. 101–114). (IFIP Advances in Information and Communication Technology; Vol. 697). Springer. https://doi.org/10.1007/978-3-031-50188-3_10
  • Open Access
    Xu, D., Yao, D., Lachapelle, S., Taslakian, P., von Kügelgen, J., Locatello, F., & Magliacane, S. (2024). A Sparsity Principle for Partially Observable Causal Representation Learning. Proceedings of Machine Learning Research, 235, 55389-55433. https://proceedings.mlr.press/v235/xu24ac.html
Page 1267 of 21657