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Results: 57,925
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  • Sprengers, M., Raedt, R., Larsen, L. E., Delbeke, J., Wadman, W. J., Boon, P., & Vonck, K. (2020). Deep brain stimulation reduces evoked potentials with a dual time course in freely moving rats: Potential neurophysiological basis for intermittent as an alternative to continuous stimulation. Epilepsia, 61(5), 903-913. https://doi.org/10.1111/epi.16498
  • Renzo, M., Farmer, R., Justham, S., Götberg, Y., de Mink, S. E., Zapartas, E., Marchant, P., & Smith, N. (2020). Predictions for the hydrogen-free ejecta of pulsational pair-instability supernovae. Astronomy & Astrophysics, 640, Article A56. https://doi.org/10.1051/0004-6361/202037710
  • Wang, W., You, S., & Gevers, T. (2020). Kinship Identification Through Joint Learning Using Kinship Verification Ensembles. In A. Vedaldi, H. Bischof, T. Brox, & J.-M. Frahm (Eds.), Computer Vision – ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020 : proceedings (Vol. XXII, pp. 613-628). (Lecture Notes in Computer Science; Vol. 12367). Springer. https://doi.org/10.1007/978-3-030-58542-6_37
  • Unger, P.-PA., Lighaam, L. C., Vermeulen, E., Kruithof, S., Makuch, M., Culver, E. L., van Bruggen, R., Remmerswaal, E. B. M., ten Berge, I. J. M., Emmens, R. W., Niessen, H. W. M., Barnes, E., Wolbink, G. J., van Ham, S. M., & Rispens, T. (2020). Divergent chemokine receptor expression and the consequence for human IgG4 B cell responses. European journal of immunology, 50(8), 1113-1125. https://doi.org/10.1002/eji.201948454
  • Urze, P., Osório, A. L., Afsarmanesh, H., & Camarinha-Matos, L. M. (2020). A Balanced Sociotechnical Framework for Collaborative Networks 4.0. In L. M. Camarinha-Matos, H. Afsarmanesh, & A. Ortiz (Eds.), Boosting Collaborative Networks 4.0: 21st IFIP WG 5.5 Working Conference on Virtual Enterprises, PRO-VE 2020, Valencia, Spain, November 23–25, 2020 : proceedings (pp. 485–498). (IFIP Advances in Information and Communication Technology; Vol. 598). Springer. https://doi.org/10.1007/978-3-030-62412-5_40
  • Schelter, S., Rukat, T., & Biessmann, F. (2020). Learning to Validate the Predictions of Black Box Classifiers on Unseen Data. In SIGMOD '20: proceedings of the 2020 ACM SIGMOD International Conference on Management of Data : June 14-19, 2020, Portland, OR, USA (pp. 1289-1299). Association for Computing Machinery. https://doi.org/10.1145/3318464.3380604
  • Wang, X., Li, Y., You, S., Li, H., & Wang, S. (2020). Unidirectional Representation-Based Efficient Dictionary Learning. IEEE transactions on circuits and systems for video technology, 30(1), 59-74. https://doi.org/10.1109/TCSVT.2018.2886600
  • Zhang, D., & You, S. (2020). iFlask: Isolate flask security system from dangerous execution environment by using ARM TrustZone. Future Generation Computer Systems, 109, 531-537. https://doi.org/10.1016/j.future.2018.05.064
  • van Sonsbeek, T., & Cheplygina, V. (2020). Predicting Scores of Medical Imaging Segmentation Methods with Meta-learning. In J. Cardoso, H. V. Nguyen, & N. Heller (Eds.), Interpretable and Annotation-Efficient Learning for Medical Image Computing : Third International Workshop, iMIMIC 2020, Second International Workshop, MIL3ID 2020, and 5th International Workshop, LABELS 2020, held in conjunction with MICCAI 2020, Lima, Peru, October 4–8, 2020 : proceedings (pp. 242-253). (Lecture Notes in Computer Science; Vol. 12446). Springer. https://doi.org/10.1007/978-3-030-61166-8_26
  • Mizuno, Y., Younsi, Z., Fromm, C. M., Porth, O., De Laurentis, M., Olivares, H., Falcke, H., Kramer, M., & Rezzolla, L. (2020). Testing Theories of Gravity via Black Hole Shadows in Sgr A*. In M. Tsuboi, & T. Oka (Eds.), Galactic Center Workshop 2019: New Horizons in Galactic Center Astronomy and Beyond: proceedings of a workshop held at Keio University, Yokohama, Japan, 21-24 October 2019 (pp. 255-258). (Astronomical Society of the Pacific conference series; Vol. 528). Astronomical Society of the Pacific. http://aspbooks.org/custom/publications/paper/528-0255.html
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