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PUBLICAÇÕES DE DOCENTES
 

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Publicações de Docentes
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2020 Publicação em Periódicos Científicos
Amade, N., Oliveira, T., & Painho, M. (2020). Understanding the determinants of GIT post-adoption: perspectives from Mozambican institutions. Heliyon, 6(5), [e03879]. https://doi.org/10.1016/j.heliyon.2020.e03879
Ashofteh, A., & Bravo, J. M. (2020). A study on the quality of novel coronavirus (COVID-19) official datasets. Statistical Journal of the IAOS, 36(2), 291-301. https://doi.org/10.3233/SJI-200674
Ayuso, M., Bravo, J., & Holzmann, R. (2020). Getting life expectancy estimates right for pension policy: Period versus cohort approach. Journal of Pension Economics and Finance, 1-20. doi:10.1017/S1474747220000050
Azzali, I., Vanneschi, L., Bakurov, I., Silva, S., Ivaldi, M., & Giacobini, M. (2020). Towards the use of vector based GP to predict physiological time series. Applied Soft Computing Journal, 89(April), [106097]. https://doi.org/10.1016/j.asoc.2020.106097
Azzali, I., Vanneschi, L., Mosca, A., Bertolotti, L., & Giacobini, M. (2020). Towards the use of genetic programming in the ecological modelling of mosquito population dynamics. Genetic Programming And Evolvable Machines. [Advanced online publication on 3 january 2020]. doi: https://doi.org/10.1007/s10710-019-09374-0
Bação, F., Santos, M. Y., & Behnisch, M. (2020). Spatial Data Science. [Editorial]. ISPRS International Journal of Geo-Information, 9(7), 1-5. [428]. https://doi.org/10.3390/ijgi9070428
Bação, F., Santos, M. Y., & Behnisch, M. (Eds.) (2020). Special Issue "Spatial Data Science". ISPRS International Journal of Geo-Information, 9(7). Link: https://www.mdpi.com/journal/ijgi/special_issues/Spatial_Data_Science
Besozzi, D., Manzoni, L., Nobile, M. S., Spolaor, S., Castelli, M., Vanneschi, L., ... Tangherloni, A. (2019). Computational Intelligence for Life Sciences. Fundamenta Informaticae, 171(1-4), 57-80. https://doi.org/10.3233/FI-2020-1872
Branco, P., Gonçalves, F., & Costa, A. C. (2020). Tailored algorithms for anomaly detection in photovoltaic systems. Energies, 13(1), [225]. https://doi.org/10.3390/en13010225
Bravo, J. M., & Coelho, E. (2020). Short-Term Regional Demographic Forecasts with Time Series Methods and Machine Learning Algorithms. Boletim da Sociedade Portuguesa de Estatística, (Primavera 2020), 20-29.
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