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Faculty of Business and Law
- Alexandre Lobo

Results 91 resources

Abstracts

dos Santos Silva, B. R., Cortez, P. C., da Silva Neto, M. G., & Lobo Marques, J. A. (2023). X-Ray Machine Learning Classification with VGG-16 for Feature Extraction. In J. A. Lobo Marques & S. J. Fong (Eds.), Computerized Systems for Diagnosis and Treatment of COVID-19 (pp. 65–78). Springer International Publishing. https://doi.org/10.1007/978-3-031-30788-1_5
Pordeus, D., Ribeiro, P., Zacarias, L., de Oliveira, A., Marques, J. A. L., Rodrigues, P. M., Leite, C., Neto, M. A., Peixoto, A. A., & do Vale Madeiro, J. P. (2023). Training Strategies for Covid-19 Severity Classification. In I. Rojas, O. Valenzuela, F. Rojas Ruiz, L. J. Herrera, & F. Ortuño (Eds.), Bioinformatics and Biomedical Engineering (pp. 514–527). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-34953-9_40
Bernardo Gois, F. N., Lobo Marques, J. A., & Fong, S. J. (2023). TPOT Automated Machine Learning Approach for Multiple Diagnostic Classification of Lung Radiography and Feature Extraction. In J. A. Lobo Marques & S. J. Fong (Eds.), Computerized Systems for Diagnosis and Treatment of COVID-19 (pp. 117–135). Springer International Publishing. https://doi.org/10.1007/978-3-031-30788-1_8
Silva Neto, M. G. da, Madeiro, J. P. do V., Marques, J. A. L., & Gomes, D. G. (2021). Towards an efficient prognostic model for fetal state assessment. Measurement, 185, 110034. https://doi.org/10.1016/j.measurement.2021.110034
Arraut, I., Lobo Marques, J. A., & Gomes, S. (2021). The Probability Flow in the Stock Market and Spontaneous Symmetry Breaking in Quantum Finance. Mathematics, 9(21), 2777. https://doi.org/10.3390/math9212777
Lobo Marques. (2023). The (non) standardized classroom - the analysis of three different cultures in the higher education systems - Angola, Brazil and Macau SAR, China. In Disentangled Vision on Higher Education: Preparing the Generation Next (pp. 329–351). Peter Lang. https://www.peterlang.com/document/1266828
Marques, J., Reis, J., Phillips, J. O. L., & Diakite, A. (2020). The Importance of Readiness for Change, a Leadership Perspective Based on a Case Study in Macau, SAR China. Journal of Advanced Management Science, 116–120. https://doi.org/10.18178/joams.8.4.116-120
Neto, A., & Lobo Marques, J. A. (2022). The future of Cosmetics Advertisement Strategy: A Neuromarketing Study using Electrodermal Activity (EDA) as a measure of Emotional Arousal. 2022 13th International Conference on E-Business, Management and Economics, 81–86. https://doi.org/10.1145/3556089.3556126
Fong, S. J., Marques, J. A. L., Li, G., Dey, N., Crespo, R. G., Herrera-Viedma, E., Gois, F. N. B., & Neto, J. X. (2022). The Comparison of Different Linear and Nonlinear Models Using Preliminary Data to Efficiently Analyze the COVID-19 Outbreak. In J. A. L. Marques & S. J. Fong (Eds.), Epidemic Analytics for Decision Supports in COVID19 Crisis (pp. 65–81). Springer International Publishing. https://doi.org/10.1007/978-3-030-95281-5_3
Fong, S. J., Marques, J. A. L., Li, G., Dey, N., Crespo, R. G., Herrera-Viedma, E., Gois, F. N. B., & Neto, J. X. (2022). The Application of Supervised and Unsupervised Computational Predictive Models to Simulate the COVID19 Pandemic. In J. A. L. Marques & S. J. Fong (Eds.), Epidemic Analytics for Decision Supports in COVID19 Crisis (pp. 103–139). Springer International Publishing. https://doi.org/10.1007/978-3-030-95281-5_5
Tagulao, T. C. S., & Marques, J. A. L. (2022). The Application of Nudge Theory in Ensuring Change Acceptance in the Hospitality-Gaming Industry – A Case Analysis from Macau SAR, China. 2022 13th International Conference on E-Business, Management and Economics, 533–539. https://doi.org/10.1145/3556089.3556121
Lobo Marques, J. A., & Fong, S. J. (2023). Technology Developments to Face the COVID-19 Pandemic: Advances, Challenges, and Trends. In J. A. Lobo Marques & S. J. Fong (Eds.), Computerized Systems for Diagnosis and Treatment of COVID-19 (pp. 1–13). Springer International Publishing. https://doi.org/10.1007/978-3-031-30788-1_1
Santos, A. S. K., & Marques, J. A. L. (2023). Sustainable Practices in Hotel Chains—A Comparative Analysis of Official Annual Hospitality Sustainable Reports from Listed Companies in Macau SAR, China. In W. C. Gartner (Ed.), New Perspectives and Paradigms in Applied Economics and Business (pp. 319–338). Springer International Publishing. https://doi.org/10.1007/978-3-031-23844-4_23
J.P.P. Santos, E., Lobo Marques, J., & Phyllips, J. O. L. (2021). Sustainable Buildings’ Projects – A Perspective from Consultants and Contractors based in Macau SAR, China. The 2021 12th International Conference on E-Business, Management and Economics, 865–870. https://doi.org/10.1145/3481127.3481252
Cavalcante, C. H. L., Primo, P. E. O., Sales, C. A. F., Caldas, W. L., Silva, J. H. M., Souza, A. H., Marinho, E. S., Pedrosa, R. C., Marques, J. A. L., Santos, H. S., Madeiro, J. P. V., Cavalcante, C. H. L., Primo, P. E. O., Sales, C. A. F., Caldas, W. L., Silva, J. H. M., Souza, A. H., Marinho, E. S., Pedrosa, R. C., … Madeiro, J. P. V. (2023). Sudden cardiac death multiparametric classification system for Chagas heart disease’s patients based on clinical data and 24-hours ECG monitoring. Mathematical Biosciences and Engineering, 20(5), 9159–9178. https://doi.org/10.3934/mbe.2023402
Lin, C. C., & Marques, J. A. L. (2023). Stock Market Prediction Using Artificial Intelligence: A Systematic Review of Systematic Reviews (SSRN Scholarly Paper No. 4341351). https://doi.org/10.2139/ssrn.4341351
Bernardo Gois, F. N., & Lobo Marques, J. A. (2023). Segmentation of CT-Scan Images Using UNet Network for Patients Diagnosed with COVID-19. In J. A. Lobo Marques & S. J. Fong (Eds.), Computerized Systems for Diagnosis and Treatment of COVID-19 (pp. 29–44). Springer International Publishing. https://doi.org/10.1007/978-3-031-30788-1_3
Marques, J. A. L., Fong, S. J., Li, G., Arraut, I., Gois, F. N. B., & Neto, J. X. (2022). Research and Technology Development Achievements During the COVID-19 Pandemic—An Overview. In J. A. L. Marques & S. J. Fong (Eds.), Epidemic Analytics for Decision Supports in COVID19 Crisis (pp. 1–15). Springer International Publishing. https://doi.org/10.1007/978-3-030-95281-5_1
Khatoon, F., Kumar, M., Khalid, A. A., Alshammari, A. D., Khan, F., Alshammari, R. D., Balouch, Z., Verma, D., Mishra, P., Abotaleb, M., Makarovskikh, T., El-kenawy, E. M., Dutta, P. K., & Marques, J. A. (2022). Quality of life during the pandemic: a cross sectional study about attitude, individual perspective and behavior change affecting general population in daily life. 379–383. https://doi.org/10.1049/icp.2023.0596
Fong, S. J., Marques, J. A. L., Li, G., Dey, N., Crespo, R. G., Herrera-Viedma, E., Gois, F. N. B., & Neto, J. X. (2022). Probabilistic Forecasting Model for the COVID-19 Pandemic Based on the Composite Monte Carlo Model Integrated with Deep Learning and Fuzzy System. In J. A. L. Marques & S. J. Fong (Eds.), Epidemic Analytics for Decision Supports in COVID19 Crisis (pp. 83–102). Springer International Publishing. https://doi.org/10.1007/978-3-030-95281-5_4

Last update from database: 5/13/24, 1:19 PM (UTC)

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