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Results: 57,892
Number of items: 57,892
  • Open Access
    Antorán, J., Janz, D., Allingham, J. U., Daxberger, E., Barbano, R., Nalisnick, E., & Hernández-Lobato, J. M. (2022). Adapting the Linearised Laplace Model Evidence for Modern Deep Learning. Proceedings of Machine Learning Research, 162, 796-821. https://doi.org/10.48550/arXiv.2206.08900
  • Open Access
    Wu, C., Zhang, R., Guo, J., de Rijke, M., Fan, Y., & Cheng, X. (2022). PRADA: Practical Black-Box Adversarial Attacks against Neural Ranking Models. (v1 ed.) ArXiv. https://doi.org/10.48550/arXiv.2204.01321
  • Open Access
    Semchenko, M., Barry, K. E., de Vries, F. T., Mommer, L., Moora, M., & Macia-Vincente, J. G. (2022). Deciphering the role of specialist and generalist plant–microbial interactions as drivers of plant–soil feedback. New Phytologist, 234(6), 1929-1944. https://doi.org/10.1111/nph.18118
  • Open Access
    Leitner, D. F., Devore, S., Laze, J., Friedman, D., Mills, J. D., Liu, Y., Janitz, M., Anink, J. J., Baayen, J. C., Idema, S., van Vliet, E. A., Diehl, B., Scott, C., Thijs, R., Nei, M., Askenazi, M., Sivathamboo, S., O'Brien, T., Wisniewski, T., ... Devinsky, O. (2022). Serotonin receptor expression in hippocampus and temporal cortex of temporal lobe epilepsy patients by postictal generalized electroencephalographic suppression duration. Epilepsia, 63(11), 2925-2936. https://doi.org/10.1111/epi.17400
  • Open Access
    Wilson, J. W., Bilbao, A., Wang, J., Liao, Y.-C., Velickovic, D., Wojcik, R., Passamonti, M., Zhao, R., Gargano, A. F. G., Gerbasi, V. R., Paša-Tolić, L., Baker, S. E., & Zhou, M. (2022). Online Hydrophilic Interaction Chromatography (HILIC) Enhanced Top-Down Mass Spectrometry Characterization of the SARS-CoV-2 Spike Receptor-Binding Domain. Analytical Chemistry, 94(15), 5909-5917. https://doi.org/10.1021/acs.analchem.2c00139
  • Open Access
    Loke, J., Seijdel, N., Snoek, L., van der Meer, M., van de Klundert, R., Quispel, E., Cappaert, N., & Scholte, H. S. (2022). A Critical Test of Deep Convolutional Neural Networks’ Ability to Capture Recurrent Processing in the Brain Using Visual Masking. Journal of Cognitive Neuroscience, 34(12), 2390-2405. https://doi.org/10.1162/jocn_a_01914
  • Open Access
    Groeneveld, I., Pirok, B. W. J., Molenaar, S. R. A., Schoenmakers, P. J., & van Bommel, M. R. (2022). The development of a generic analysis method for natural and synthetic dyes by ultra-high-pressure liquid chromatography with photo-diode-array detection and triethylamine as an ion-pairing agent. Journal of Chromatography A, 1673, Article 463038. https://doi.org/10.1016/j.chroma.2022.463038
  • Open Access
    van Hove, W., Dalla Longa, F., & van der Zwaan, B. (2022). Identifying predictors for energy poverty in Europe using machine learning. Energy and buildings, 264, Article 112064. https://doi.org/10.1016/j.enbuild.2022.112064
  • Open Access
    Chung, S.-H., de Haart, S., Parton, R., & Shiju, N. R. (2022). Conversion of furfuryl alcohol into alkyl‒levulinates using solid acid catalysts. Sustainable Chemistry for Climate Action, 1, Article 100004. https://doi.org/10.1016/j.scca.2022.100004
  • Open Access
    Pradeep, R., Liu, Y., Zhang, X., Li, Y., Yates, A., & Lin, J. (2022). Squeezing Water from a Stone: A Bag of Tricks for Further Improving Cross-Encoder Effectiveness for Reranking. In M. Hagen, S. Verberne, C. Macdonald, C. Seifert, K. Balog, K. Nørvåg, & V. Setty (Eds.), Advances in Information Retrieval: 44th European Conference on IR Research, ECIR 2022, Stavanger, Norway, April 10–14, 2022 : proceedings (Vol. I, pp. 655–670). (Lecture Notes in Computer Science; Vol. 13185). Springer. https://doi.org/10.1007/978-3-030-99736-6_44
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