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Results: 217,087
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Vasconcelos, V. V., Constantino, S. M., Dannenberg, A., Lumkowsky, M., Weber, E., & Levin, S. (2021). Segregation and clustering of preferences erode socially beneficial coordination. Proceedings of the National Academy of Sciences of the United States of America, 118(50), Article e2102153118. https://doi.org/10.1073/pnas.2102153118
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Faghiri, P., & Thuilier, J. (2021). Contribution méthodologique à l’étude de l’ordre des mots: Jugements d’acceptabilité et complétion de phrases. Langages, 223(2021/3), 25-42. https://www.cairn.info/revue-langages-2021-3-page-25.htm
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Bîlbîie, G., Faghiri, P., & Thuilier, J. (2021). Syntaxe quantitative et expérimentale : objets et méthodes. Langages, 223(3), 7-24. https://doi.org/10.3917/lang.223.0007
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Faghiri, P., & Samvelian, P. (2021). A corpus-based description of cleft constructions in Persian. Faits de Langues, 52(1), 183-206. https://doi.org/10.1163/19589514-05201009
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Hayes, R., Wallage, P., & Eimers, P. (2021). Principles of International Auditing and Assurance. (4th ed.) Amsterdam University Press. https://doi.org/10.5117/9789463720069
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Geiger, M. A., Gold, A., & Wallage, P. (2021). Auditor Going Concern Reporting: A Review of Global Research and Future Research Opportunities. (Routledge Studies in Accounting). Routledge. https://doi.org/10.4324/9781003127093
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Zhang, L., Zuo, L., Du, Y., & Zhen, X. (2021). Learning to Adapt with Memory for Probabilistic Few-Shot Learning. IEEE transactions on circuits and systems for video technology, 31(11), 4283-4292. https://doi.org/10.1109/TCSVT.2021.3052785
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Salehi, M., Arya, A., Pajoum, B., Otoofi, M., Shaeiri, A., Rohban, M. H., & Rabiee, H. R. (2021). ARAE: Adversarially robust training of autoencoders improves novelty detection. Neural Networks, 144, 726-736. https://doi.org/10.1016/j.neunet.2021.09.014
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Sosnovik, I., Moskalev, A., & Smeulders, A. (2021). Scale Equivariance Improves Siamese Tracking. In 2021 IEEE Winter Conference on Applications of Computer Vision: proceedings : 5-9 January 2021, virtual event (pp. 2764-2773). (WACV). IEEE Computer Society. https://doi.org/10.1109/WACV48630.2021.00281
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Alam, M., Ali, M., Groth, P., Hitzler, P., Lehmann, J., Paulheim, H., Rettinger, A., Sack, H., Sadeghi, A., & Tresp, V. (Eds.) (2021). Machine Learning with Symbolic Methods and Knowledge Graphs: co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2021) : Virtual, September 17, 2021. (CEUR Workshop Proceedings; Vol. 2997). CEUR-WS. http://ceur-ws.org/Vol-2997
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