Publicaciones del cuerpo académico

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Artículos arbitrados publicados en publicaciones arbitradas

  • López Vázquez, C. (2022). Uncertainty interval estimates for computing slope and aspect from a gridded digital elevation model. International Journal of Geographical Information Science, 36(8), 1601-1628.
  • Suárez, Á., Baccino, D., Monteiro, M., & Marti, A. C. (2022). Differences in the attitudes and beliefs about science of students in the physics-mathematics and life sciences areas and their impact on teaching. Revista Mexicana de Física E, 19(2), 6 p.
  • Fiori, M., Bello, G., Wschebor, N., Lecumberry, F., Ferragut, A., & Mordecki, E. (2022). Decoupling between SARS-CoV-2 transmissibility and population mobility associated with increasing immunity from vaccination and infection in South America. Scientific Reports, 12, 9 p.
  • Pates, R., Ferragut, A., Pivo, E., You, P., Paganini, F., & Mallada, E. (2022). Respect the unstable: Delays and saturation in contact tracing for disease control. SIAM Journal on Control and Optimization (SICON), 60(2), 196-220.
  • Allende, C., Fonseca de Oliveira, A., & Buksman, E. (2022). Characterizing errors for quantum Fourier transform on IBM Q. Revista Mexicana de Física, 68(3), 6 p.
  • Monteiro, M., & Martí, A. C. (2022). Resource letter MDS-1: Mobile devices and sensors for physics teaching. American Journal of Physics, 90(5), 328-343.
  • Ferragut, A., Narbondo, L., & Paganini, F. (2021). Scheduling EV charging with uncertain departure times. ACM Performance Evaluation Review, 49(3), 10-15.
  • Achigar, R., Scarrone, M., Rousseau, G. M., Philippe, C., Machado, F., Duvós, V., … Moineau, S. (2021). Ectopic spacer acquisition in streptococcus thermophilus CRISPR3 array. Microorganisms , 9(3), 10 p.
  • Perelmuter, K., Tiscornia, I., Comini, M. A., & Bollati Fogolín, M. (2022). Generation and characterization of stable redox-reporter mammalian cell lines of biotechnological relevance. Sensors, 22(4), 18 p.
  • Yovine, S., Mayr, F., Sosa, S., & Visca, R. (2021). An assessment of the application of private aggregation of ensemble models to sensible data. Machine Learning and Knowledge Extraction, 3(4), 788-801.