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Results: 79,244
Number of items: 79,244
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Rauer, C., & Bereau, T. (2020). Hydration free energies from kernel-based machine learning: Compound-database bias. Journal of Chemical Physics, 153(1), Article 014101. https://doi.org/10.1063/5.0012230 -
Boissonnault, M., Oude Mulders, J., Turek, K., & Carriere, Y. (2020). A systematic review of causes of recent increases in ages of labor market exit in OECD countries. PLoS ONE, 15(4), Article e0231897. https://doi.org/10.1371/journal.pone.0231897
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Jansen in de Wal, J., van den Beemt, A., Martens, R. L., & den Brok, P. J. (2020). The relationship between job demands, job resources and teachers' professional learning: Is it explained by self-determination theory? Studies in Continuing Education, 42(1), 17-39. https://doi.org/10.1080/0158037X.2018.1520697
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Musterd, S. (2020). Towards Further Understanding of Urban Segregation. In S. Musterd (Ed.), Handbook of Urban Segregation (pp. 411-424). (Research Handbooks in Urban Studies). Edward Elgar Publishing. https://doi.org/10.4337/9781788115605.00034
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Lagerwaard, P. (2020). Flattening the international: producing financial intelligence through a platform. Critical Studies on Security, 8(2), 160-174. https://doi.org/10.1080/21624887.2020.1762156
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De Swert, K., & Kuypers, I. (2020). Ordinary people regularly reported? Looking for patterns in the presence of ordinary citizens in television news in 20 European countries. Journalism Studies, 21(8), 1037-1054. https://doi.org/10.1080/1461670X.2020.1745664
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Adams, M., Bezrukov, F., Elvin-Poole, J., Evans, J. J., Guzowski, P., Fearraigh, B. Ó., & Söldner-Rembold, S. (2020). Direct comparison of sterile neutrino constraints from cosmological data, νe disappearance data and νμ→ νe appearance data in a 3+1 model. European Physical Journal C, 80(8), Article 758. https://doi.org/10.1140/epjc/s10052-020-8197-y
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Undeger, I., Visser, R. M., & Olsson, A. (2020). Neural Pattern Similarity Unveils the Integration of Social Information and Aversive Learning. Cerebral Cortex, 30(10), 5410-5419. https://doi.org/10.1093/cercor/bhaa122
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Olthof, M. (2020). Formal variation in incorporation: A typological study and a unified approach. Linguistics, 58(1), 131-205. https://doi.org/10.1515/ling-2019-0036
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Wöhlke, J., Schmitt, F., & van Hoof, H. (2020). A Performance-Based Start State Curriculum Framework for Reinforcement Learning. In AAMAS'20: proceedings of the 19th International Conference on Autonomous Agents and MultiAgent Systems : May 9-13, 2020, Auckland, New Zealand (pp. 1503-1511). International Foundation for Autonomous Agents and Multiagent Systems. https://dl.acm.org/doi/10.5555/3398761.3398934
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