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Leneman, T., Alsahag, A. M. M., & Mohammadi Ziabari, S. S. (2026). Explainable AI for subseasonal forecasting of the north atlantic oscillation. Machine Learning for Computational Science and Engineering, 2(1), Article 6. https://doi.org/10.1007/s44379-026-00055-1 -
Vlerken, W. V., Legerstee, J. S., Belleman, R. G., Bouwmeester, S., Meester, L. F., Roorda, A., Lindauer, R. J. L., Utens, E. M. W. J., & Stapersma, L. (2026). The efficacy of home-based virtual reality exposure therapy as an add-on to behavioral therapy for children with selective mutism: Protocol for a single-case experimental design. Contemporary Clinical Trials Communications, 50, Article 101602. https://doi.org/10.1016/j.conctc.2026.101602 -
Sinaasappel, R., Prathyusha, K. R., Tuazon, H., Mirzahossein, E., Illien, P., Bhamla, S., & Deblais, A. (2026). Particle Sweeping and Collection by Active and Living Filaments. Physical Review X, 16(1), Article 011003. https://doi.org/10.1103/yxp1-t43g -
Naumann, F., Ehrlinger, L., Harmouch, H., Mohammed, S., & Srivastava, D. (2026). Data Quality in the Age of AI. In P. K. Chrysanthis, K. Nørvåg, K. Stefanidis, & Z. Zhang (Eds.), Advances in Databases and Information Systems: 29th European Conference, ADBIS 2025, Tampere, Finland, September 23–26, 2025 : proceedings (pp. 3-7). (Lecture Notes in Computer Science; Vol. 16043). Springer. https://doi.org/10.1007/978-3-032-05281-0_1 -
Brakenhoff , B., Alsahag, A. M. M., & Mohammadi Ziabari, S. S. (2026). Dynamic GNNs for Predicting Train Cancellations on the Dutch Railway Network: A Multi-Season Study of Environmental and Operational Factors. Digital Technologies Research and Applications, 5(1), 32-52. https://doi.org/10.54963/dtra.v5i1.1709 -
Blanco-Bercial, L., Questel, J. M., Batta-Lona, P. G., Escribano, R., Falkenhaug, T., Hirai, J., Huggett, J. A., Arbizu, P. M., Peijnenburg, K. T. C. A., Suter, L., Weydmann-Zwolicka, A., Dubbeldam, S., Duijm, E., Ershova-Menze, E., Gonzalez, C. E., Govender, A., Groeneveld, J., Khodami, S., MacDonald, A. J., ... Bucklin, A. (2026). MetaZooGene Intercalibration Experiment (MZG-ICE): Metabarcoding Marine Zooplankton Diversity of the Global Ocean. Molecular Ecology Resources, 26(1), Article e70090. https://doi.org/10.1111/1755-0998.70090 -
Shadrin, S., & Wang, Z. (2026). Structure of Dubrovin-Zhang free energy functions and universal identities. Letters in Mathematical Physics, 116(3), Article 61. https://doi.org/10.1007/s11005-026-02089-1
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