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Results: 216,013
Number of items: 216,013
  • Open Access
    Blankers, M., Salemink, E., & Wiers, R. W. (2024). Cognitive Behavioral Therapy, and Cognitive Bias Modification in Internet-Based Interventions for Mood, Anxiety, and Substance Use Disorders. In D. Mucić, & D. M. Hilty (Eds.), Digital Mental Health: The Future is Now (2nd ed., pp. 351-377). Springer. https://doi.org/10.1007/978-3-031-59936-1_14
  • Open Access
    Müller, M. A., & Grossi, D. (2024). Measuring the Impact of Arguments on Admissibility in Abstract Argumentation. In C. Reed, M. Thimm, & T. Rienstra (Eds.), Computational Models of Argument: Proceedings of COMMA 2024 (pp. 145-156). (Frontiers in Artificial Intelligence and Applications; Vol. 388). IOS Press. https://doi.org/10.3233/FAIA240317
  • Open Access
    Roncevic, V., Živanovic, N., van Boxel, J. H., Iserloh , T., Antić, N., Santos Ferreira, C. S., & Spasić, M. (2024). Measurement of Water Drop Sizes Generated by a Dripping Rainfall Simulator with Drippers in the Form of Hypodermic Needles. Applied Sciences, 14(16), Article 6969. https://doi.org/10.3390/app14166969
  • Open Access
    Stratigopoulou, M. (2024). B-cell clonality and DNA Repair in the germinal center. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Laporte, A., Masson, T. M., Zondag, S. D. A., & Noël, T. (2024). Multiphasic Continuous-Flow Reactors for Handling Gaseous Reagents in Organic Synthesis: Enhancing Efficiency and Safety in Chemical Processes. Angewandte Chemie, 136(11), Article e202316108. https://doi.org/10.1002/ange.202316108, https://doi.org/10.1002/anie.202316108
  • Open Access
    Coe, A. (2024). Surviving the dark ocean: Adaptation and cross-feeding between Prochlorococcus and heterotrophic bacteria. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Bertie, L. A., Quiroz, J. C., Berkovsky, S., Arendt, K., Bögels, S., Coleman, J. R. I., Cooper, P., Creswell, C., Eley, T. C., Hartman, C., Fjermestadt, K., In-Albon, T., Lavallee, K., Lester, K. J., Lyneham, H. J., Marin, C. E., McKinnon, A., McLellan, L. F., Meiser-Stedman, R., ... Hudson, J. L. (2024). Predicting remission following CBT for childhood anxiety disorders: A machine learning approach. Psychological Medicine, 54(16), 4612-4622. https://doi.org/10.1017/S0033291724002654
  • Open Access
    Gupta, U., Paluru, N., Nankani, D., Kulkarni, K., & Awasthi, N. (2024). A comprehensive review on efficient artificial intelligence models for classification of abnormal cardiac rhythms using electrocardiograms. Heliyon, 10(5), Article e26787. https://doi.org/10.1016/j.heliyon.2024.e26787
  • Open Access
    Mazzanti, M., Robalo Pereira, C., Diepeveen, N. A., Gerritsen, B., Wu, Z., Ackerman, Z. E. D., Gallagher, L. P. H., Safavi-Naini, A., Gerritsma, R., & Schüssler, R. X. (2024). Alignment and optimization of optical tweezers on trapped ions. Physical Review A, 110(4), Article 043105. https://doi.org/10.1103/PhysRevA.110.043105
  • Open Access
    Mohebbi, H., Jumelet, J., Hanna, M., Alishahi, A., & Zuidema, W. (2024). Transformer-specific Interpretability. In M. Mesgar, & S. Loáiciga (Eds.), The 18th Conference of the European Chapter of the Association for Computational Linguistics : Proceedings of Tutorial Abstracts: EACL : March 21, 2024 (pp. 21-26). Association for Computational Linguistics. https://doi.org/10.18653/v1/2024.eacl-tutorials.4
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