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Barendse, M. T., Albers, C. J., Oort, F. J., & Timmerman, M. E. (2014). Measurement bias detection through Bayesian factor analysis. Frontiers in Psychology, 5, Article 1087. https://doi.org/10.3389/fpsyg.2014.01087 -
Guberovic, R., Schwab, C., & Stevenson, R. (2014). Space-time variational saddle point formulations of Stokes and Navier-Stokes equations. ESAIM : Mathematical Modelling and Numerical Analysis, 48(3), 875-894. https://doi.org/10.1051/m2an/2013124 -
Yates-Doerr, E. (2014). Refrigerator units, normal goods. Limn, 4(1), 32-35. http://limn.it/refrigerator-units-normal-goods/ -
Altman, M., Conlon, M., Cristan, A. L., Dawson, L., Dunham, J., Hickey, T., Hook, D., Horstmann, W., MacEwan, A., Schreur, P., Smart, L., Smith-Yoshimura, K., Wacker, M., & Woutersen, S. (2014). Registering Researchers in Authority Files. OCLC Research. http://www.oclc.org/content/dam/research/publications/library/2014/oclcresearch-registering-researchers-2014.pdf -
Dotlačil, J., Szymanik, J., & Zajenkowski, M. (2014). Probabilistic semantic automata in the verification of quantified statements. In P. Bello, M. Guarini, M. McShane, & B. Scassellati (Eds.), CogSci 2014: cognitive science meets artificial intelligence: human and artifical agents in interactive contexts: 36th Annual Cognitive Science Conference: Quebec City, Canada, Jul 23-Jul 26 (Vol. 4, pp. 2967-2972). Cognitive Science Society. https://mindmodeling.org/cogsci2014/papers/512/ -
Kelly, B. C., Becker, A. C., Sobolewska, M., Siemiginowska, A., & Uttley, P. (2014). Flexible and Scalable Methods for Quantifying Stochastic Variability in the Era of Massive Time-domain Astronomical Data Sets. Astrophysical Journal, 788(1), 33. https://doi.org/10.1088/0004-637X/788/1/33
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