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Results: 58,357
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  • Zhang, L., Jiang, W., & Zhao, Z. (2022). Short‐text feature expansion and classification based on nonnegative matrix factorization. International Journal of Intelligent Systems, 37(12), 10066-10080. https://doi.org/10.1002/int.22290
  • Coile, M. W., Harmon, R. E., Wang, G., SriBala, G., & Broadbelt, L. J. (2022). Kinetic Monte Carlo Tool for Kinetic Modeling of Linear Step-Growth Polymerization: Insight into Recycling of Polyurethanes. Macromolecular Theory and Simulations, 31(2), Article 2100058. https://doi.org/10.1002/mats.202100058
  • Li, Z., Wijerathne, D., Chen, X., Pathania, A., & Mitra, T. (2022). ChordMap: Automated Mapping of Streaming Applications onto CGRA. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 41(2), 306-319. https://doi.org/10.1109/TCAD.2021.3058313
  • ten Brink, M., Bredeweg, B., & Schouten, B. (2022). Students’ Attitude Towards Technology Enhanced Photovoice to Support Critical Reflection. In F. De la Prieta, R. Gennari, M. Temperini, T. Di Mascio, P. Vittorini, Z. Kubincova, E. Popescu, D. Rua Carneiro, L. Lancia, & A. Addone (Eds.), Methodologies and Intelligent Systems for Technology Enhanced Learning, 11th International Conference (pp. 32-41). (Lecture Notes in Networks and Systems; Vol. 326). Springer. https://doi.org/10.1007/978-3-030-86618-1_4
  • Bom, R. A., Conklin, J. R., Verkuil, Y. I., Alves, J. A., de Fouw, J., Dekinga, A., Hassell, C. J., Klaassen, R. H. G., Kwarteng, A. Y., Rakhimberdiev, E., Rocha, A., ten Horn, J., Tibbitts, T. L., Tomkovich, P. S., Victor, R., & Piersma, T. (2022). Central-West Siberian-breeding Bar-tailed Godwits (Limosa lapponica) segregate in two morphologically distinct flyway populations. Ibis, 164(2), 468-485. https://doi.org/10.1111/ibi.13024
  • Mouarrawis, V., Mathew, S., Meeus, E. J., de Bruin, B., & Reek, J. (2022). A chromatography-free synthesis of meso-tetrakis(4-formylphenyl) porphyrin and meso-tetrakis(3-formylphenyl) porphyrin: Versatile synthons in supramolecular and macromolecular chemistry. Journal of Porphyrins and Phthalocyanines, 26(6-7), 427-433. https://doi.org/10.1142/S1088424621500504
  • Laposchan, S., Kranenburg, R. F., & van Asten, A. C. (2022). Impurities, adulterants and cutting agents in cocaine as potential candidates for retrospective mining of GC-MS data. Science and Justice, 62(1), 60-75. https://doi.org/10.1016/j.scijus.2021.11.004
  • Fu, Y., Hong, Y., Chen, L., & You, S. (2022). LE-GAN: Unsupervised low-light image enhancement network using attention module and identity invariant loss. International Journal of Uncertainty and Knowledge-Based Systems, 240, Article 106539. https://doi.org/10.1016/j.knosys.2021.108010
  • Schreuder, A., Jacobs, C., Lessmann, N., Broeders, M. J. M., Silva, M., Išgum, I., de Jong, P. A., van den Heuvel, M. M., Sverzellati, N., Prokop, M., Pastorino, U., Schaefer-Prokop, C. M., & van Ginneken, B. (2022). Scan-based competing death risk model for re-evaluating lung cancer computed tomography screening eligibility. The European Respiratory Journal, 59(5), Article 2101613. https://doi.org/10.1183/13993003.01613-2021
  • van Velzen, S. G. M., Gal, R., Teske, A. J., van der Leij, F., van den Bongard, D. H. J. G., Viergever, M. A., Verkooijen, H. M., & Išgum, I. (2022). AI-Based Radiation Dose Quantification for Estimation of Heart Disease Risk in Breast Cancer Survivors After Radiation Therapy. International Journal of Radiation Oncology Biology Physics, 112(3), 621-632. https://doi.org/10.1016/j.ijrobp.2021.09.008
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