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Academic Units

Faculty of Business and Law

Publication year

Between 2000 and 2022

Results 55 resources

Abstracts

Bernardo Gois, F. N., Lima, A., Santos, K., Oliveira, R., Santiago, V., Melo, S., Costa, R., Oliveira, M., Henrique, F. das C. D. M., Neto, J. X., Martins Rodrigues Sobrinho, C. R., & Lôbo Marques, J. A. (2021). Predictive models to the COVID-19. In U. Kose, D. Gupta, V. H. C. de Albuquerque, & A. Khanna (Eds.), Data Science for COVID-19 (pp. 1–24). Academic Press. https://doi.org/10.1016/B978-0-12-824536-1.00023-X
Marques, J. A. L., Gois, F. N. B., Xavier-Neto, J., & Fong, S. J. (2021). Predictive Models for Decision Support in the COVID-19 Crisis. Springer International Publishing. https://doi.org/10.1007/978-3-030-61913-8
Marques, J. A. L., Gois, F. N. B., Xavier-Neto, J., & Fong, S. J. (2020). Artificial Intelligence Prediction for the COVID-19 Data Based on LSTM Neural Networks and H2O AutoML. In Predictive Models for Decision Support in the COVID-19 Crisis (pp. 69–87). Springer International Publishing. https://doi.org/10.1007%2F978-3-030-61913-8_5
Marques, J. A. L., Gois, F. N. B., Xavier-Neto, J., & Fong, S. J. (2020). Epidemiology Compartmental Models—SIR, SEIR, and SEIR with Intervention. In Predictive Models for Decision Support in the COVID-19 Crisis (pp. 15–39). Springer International Publishing. https://doi.org/10.1007%2F978-3-030-61913-8_2
Marques, J. A. L., Gois, F. N. B., Xavier-Neto, J., & Fong, S. J. (2020). Forecasting COVID-19 Time Series Based on an Autoregressive Model. In Predictive Models for Decision Support in the COVID-19 Crisis (pp. 41–54). Springer International Publishing. https://doi.org/10.1007%2F978-3-030-61913-8_3
Marques, J. A. L., Gois, F. N. B., Xavier-Neto, J., & Fong, S. J. (2020). Nonlinear Prediction for the COVID-19 Data Based on Quadratic Kalman Filtering. In Predictive Models for Decision Support in the COVID-19 Crisis (pp. 55–68). Springer International Publishing. https://doi.org/10.1007%2F978-3-030-61913-8_4
Marques, J. A. L., Gois, F. N. B., Xavier-Neto, J., & Fong, S. J. (2020). Predicting the Geographic Spread of the COVID-19 Pandemic: A Case Study from Brazil. In Predictive Models for Decision Support in the COVID-19 Crisis (pp. 89–98). Springer International Publishing. https://doi.org/10.1007%2F978-3-030-61913-8_6
Marques, J. A. L., Gois, F. N. B., Xavier-Neto, J., & Fong, S. J. (2020). Prediction for Decision Support During the COVID-19 Pandemic. In Predictive Models for Decision Support in the COVID-19 Crisis (pp. 1–13). Springer International Publishing. https://doi.org/10.1007%2F978-3-030-61913-8_1
Arraut, I., Au, A., Tse, A. C., & Marques, J. A. L. (2020). On the probability flow in the Stock market I: The Black-Scholes case. ArXiv.Org, 1, 1–10. https://search.proquest.com/docview/2332255379?pq-origsite=primo
Lampo, A. (2020). Adapting the Unified Theory of Acceptance and Use of Technology 2 (Utaut 2) to Explain Acceptance of Battery Electric Vehicles: Evidence From Macau [PhD in Business Administration, University of Saint Joseph]. http://library-opac.usj.edu.mo/cgi-bin/koha/opac-detail.pl?biblionumber=174665
Lan, K., Liu, L., Li, T., Chen, Y., Fong, S., Marques, J. A. L., Wong, R. K., & Tang, R. (2020). Multi-view convolutional neural network with leader and long-tail particle swarm optimizer for enhancing heart disease and breast cancer detection. Neural Computing and Applications. https://doi.org/10.1007/s00521-020-04769-y
Lei, W. C. (2020). The Road to Service Export Diversification: Gambling and Convention in Macao. In E. Lau, B. Simonetti, I. Trinugroho, & L. M. Tan (Eds.), Economics and Finance Readings: Selected Papers from Asia-Pacific Conference on Economics & Finance, 2019. Springer Singapore. https://doi.org/10.1007/978-981-15-2906-1
Marques, J. A. L., Cortez, P. C., Madeiro, J. P. V., Albuquerque, V. H. C., Fong, S. J., & Schlindwein, F. S. (2020). Nonlinear characterization and complexity analysis of cardiotocographic examinations using entropy measures. Journal of Supercomputing, 76(2), 1305–1320. https://doi.org/10.1007/s11227-018-2570-8
Ansoumane D. Diakite, & Jenny O. L. Phillips. (2019). Motives of Traditional and Emerging Donors in Aid Giving: Comparative Study between China and France. Journal of Social and Political Sciences, 2(4), 1026–1037. https://doi.org/10.31014/aior.1991.02.04.140
Negreiros, J., & Diakite, A. (2019). Ten Spatial Problems with myGeoffice© for Teaching Purposes. Open Journal of Social Sciences, 7(7), 297–317. https://doi.org/10.4236/jss.2019.77026
Armando Carlos Hombo Nogueira, Luis Miguel Pacheco, & Marcus Antonio Almeida Rodrigues. (2019). Influencia da nova estrutura fiscal de impostos de Angola na gestao de escolas privadas do municipio do Lobito. Revista Gestao Em Analise. https://doi.org/10.12662/2359-618xregea.v8i2.p11-30.2019
Modelling the Neuromarketing application framework for tourism and entertainment industries in Macau and the Greater Bay Area. (2019). [Research Report]. University of Saint Joseph.
de Aguiar, A. W. O., Bezerra, J. D. H., Marques, J. A. L., & de Alexandria, A. R. (2019). Lead: An iOS Application to Help in the Construction of New Habits. International Journal of Information and Electronics Engineering, 9(4). http://www.ijiee.org/index.php?m=content&c=index&a=show&catid=87&id=820
Do Vale Madeiro, J. P., Barreto, D., Marques, J. A. L., & Salinet, J. L. (2019). Evaluating Mathematical Models for Morphological Classification of the QRS Complex. Computing in Cardiology, 2019-September. https://doi.org/10.23919/CinC49843.2019.9005790
Marques, J. A. L., Cortez, P. C., Madeiro, J. P. D. V., Fong, S. J., Schlindwein, F. S., & Albuquerque, V. H. C. D. (2019). Automatic Cardiotocography Diagnostic System Based on Hilbert Transform and Adaptive Threshold Technique. IEEE Access, 7, 73085–73094. https://doi.org/10.1109/ACCESS.2018.2877933

Last update from database: 7/2/22, 6:21 AM (UTC)

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