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Results: 58,353
Number of items: 58,353
  • Open Access
    Granato, A., Phillips, W. A., Schulz, J. M., Suzuki, M., & Larkum, M. E. (2024). Dysfunctions of cellular context-sensitivity in neurodevelopmental learning disabilities. Neuroscience and Biobehavioral Reviews, 161, Article 105688. https://doi.org/10.1016/j.neubiorev.2024.105688
  • Open Access
    Picek, S., Heuser, A., Jovic, A., Bhasin, S., & Regazzoni, F. (2024). Tipping the Balance: Imbalanced Classes in Deep Learning Side-channel Analysis. IEEE Design and Test, 41(2), 32-38. https://doi.org/10.1109/MDAT.2023.3288808
  • Open Access
    Chemnitz, R., Engel, M., & Koltai, P. (2024). Continuous-time extensions of discrete-time cocycles. Proceedings of the American Mathematical Society, Series B, 11, 23-35. https://doi.org/10.1090/bproc/209
  • Open Access
    van Erck, D., Moeskops, P., Schoufour, J. D., Weijs, P. J. M., Scholte op Reimer, W. J. M., van Mourik, M. S., Planken, R. N., Vis, M. M., Baan, J., Išgum, I., Henriques, J. P., de Vos, B. D., & Delewi, R. (2024). Low muscle quality on a procedural computed tomography scan assessed with deep learning as a practical useful predictor of mortality in patients with severe aortic valve stenosis. Clinical Nutrition ESPEN, 63, 142–147. https://doi.org/10.1016/j.clnesp.2024.06.013
  • Open Access
    Dogliani, P., Nolan Ruas Rego Canha, A., Elberry, A. M., & Thakur, J. (2024). Multi-option analytical modeling of levelized costs across various hydrogen supply chain nodes. International Journal of Hydrogen Energy, 70, 737-755. https://doi.org/10.1016/j.ijhydene.2024.05.142
  • Open Access
    Koppelle, S., Ivanković, M., Bengtsson, M. M., Preiler, C., Huisman, J., Brussaard, C. P. D., Engelmann, J. C., Ptáčník, R., & Wilken, S. (2024). Contrasting responses of different mixotrophic protists to light and nutrient availability. Limnology and Oceanography, 69(5), 1233-1246. https://doi.org/10.1002/lno.12565
  • Open Access
    Ly, K., Kashnitsky, Y., Chamezopoulos, S., & Krzhizhanovskaya, V. (2024). Article Classification with Graph Neural Networks and Multigraphs. In N. Calzolari, M.-Y. Kan, V. Hoste, A. Lenci, S. Sakti, & N. Xue (Eds.), The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024): main conference proceedings : 20-25 May, 2024, Torino, Italia (pp. 1539-1547). (COLING), (LREC). ELRA Language Resources Association. https://aclanthology.org/2024.lrec-main.136/
  • Open Access
    De Jong, M. G. G., de Nobel, J. S., Polman, E. M. N., Sterk, H. P., & Seijmonsbergen, A. C. (2024). Die spätglaziale und holozäne Beckenfüllung des Moores »Turbastall« bei Schlins (Vorarlberg, Österreich). inatura, forschung-online, 123. https://www.inatura.at/fileadmin/www.inatura.at/Forschung-Online/ForschOn_2024_123_0001-0016.pdf
  • Open Access
    Aghapour, E., Shen, Y., Sapra, D., Pimentel, A. D., & Pathania, A. (2024). PiQi: Partially Quantized DNN Inference on HMPSoCs. In Proceedings of the 29th International Symposium on Low Power Electronics and Design: August 5-7, 2024, Newport Beach CA, USA Association for Computing Machinery. https://doi.org/10.1145/3665314.3670841
  • Open Access
    Alexandrov, A., Bychkov, B., Dunin-Barkowski, P., Kazarian, M., & Shadrin, S. (2024). Symplectic duality via log topological recursion. Communications in Number Theory and Physics, 18(4), 795-841. https://doi.org/10.48550/arXiv.2405.10720, https://doi.org/10.4310/cntp.241203001416
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