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Faculty of Business and Law
- Alexandre Lobo

Results 91 resources

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Abstracts

dos Santos Silva, B. R., Cesar Cortez, P., Crosara Motta, P., & Lobo Marques, J. A. (2023). Covid-19 Detection Based on Chest X-Ray Images Using Multiple Transfer Learning CNN Models. In J. A. Lobo Marques & S. J. Fong (Eds.), Computerized Systems for Diagnosis and Treatment of COVID-19 (pp. 45–63). Springer International Publishing. https://doi.org/10.1007/978-3-031-30788-1_4
Ribeiro, P., Marques, J. A. L., & Rodrigues, P. M. (2023). COVID-19 Detection by Means of ECG, Voice, and X-ray Computerized Systems: A Review. Bioengineering, 10(2), 198. https://doi.org/10.3390/bioengineering10020198
Luo, R., Marques, J. A. L., Ong, K.-L., & Fong, S. (2020). Crowdsensing-Based Gamification for Collective Assistance for Post-Era of Coronavirus Epidemic in Community Living. International Journal of Extreme Automation and Connectivity in Healthcare (IJEACH), 2(2), 54–64. https://doi.org/10.4018/IJEACH.2020070106
Lobo Marques, J. A. (2022, October 25). Developing Neuromarketing Innovative Research [Conference]. Neuromarathon 2022.
Marques, J. A. L., Morais, J. J. B. dos R., Alves, J., & Gonçalves, M. (2023). EFFECTIVENESS ANALYSIS OF WATERFALL AND AGILE PROJECT MANAGEMENT METHODOLOGIES – A CASE STUDY FROM MACAU’S CONSTRUCTION INDUSTRY. Revista Gestão Em Análise, 12(1), 23–38. https://doi.org/10.12662/2359-618xregea.v12i1.p23-38.2023
Rodrigues, P. M., Madeiro, J. P., & Marques, J. A. L. (2023). Enhancing Health and Public Health through Machine Learning: Decision Support for Smarter Choices. Bioengineering, 10(7), 792. https://doi.org/10.3390/bioengineering10070792
Lobo Marques, J. A., & Fong, S. (Eds.). (2022). Epidemic analytics for decision supports in COVID19 crisis. Springer. https://link.springer.com/book/10.1007/978-3-030-95281-5#about-this-book
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
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
Ribeiro, P., Pordeus, D., Zacarias, L., Leite, C., Alves Neto, M., Aires Peixoto Jr, A., de Oliveira, A., Paulo Madeiro, J., Lobo Marques, J. A., & Miguel Rodrigues, P. (2023). Evaluation of ECG Non-linear Features in Time-Frequency Domain for the Discrimination of COVID-19 Severity Stages. In J. A. Lobo Marques & S. J. Fong (Eds.), Computerized Systems for Diagnosis and Treatment of COVID-19 (pp. 137–154). Springer International Publishing. https://doi.org/10.1007/978-3-031-30788-1_9
do Vale Madeiro, J. P., Lobo Marques, J. A., Han, T., & Coury Pedrosa, R. (2020). Evaluation of mathematical models for QRS feature extraction and QRS morphology classification in ECG signals. Measurement, 156, 107580. https://doi.org/10.1016/j.measurement.2020.107580
Wong, K. S., & Lobo Marques, J. A. (2023). Exploratory Analysis of Project Management Adoption and Maturity Level of IT Companies–A Comparison between Macao and Hengqin. Journal of Advanced Management Science, 11(2), 124–129. https://doi.org/10.18178/joams.11.3.124-129
Lobo Marques, J. A., Macedo, D. S., Motta, P., dos Santos Silva, B. R., Carvalho, F. H. C., Kehdi, R. C., Cavalcante, L. R. L., da Silva Viana, M., Lós, D., & Fiorenza, N. G. (2023). Exploratory Data Analysis on Clinical and Emotional Parameters of Pregnant Women with COVID-19 Symptoms. In J. A. Lobo Marques & S. J. Fong (Eds.), Computerized Systems for Diagnosis and Treatment of COVID-19 (pp. 179–209). Springer International Publishing. https://doi.org/10.1007/978-3-031-30788-1_11
Guilherme Cunha Santos, A., Alexandre Lobo Marques, J., Rigo Jr., L., & Paulo Madeiro, J. (2023, November 26). Exploring EEG Signal Features for Predicting Post Cardiac Arrest Prognosis. 2023 Computing in Cardiology Conference. https://doi.org/10.22489/CinC.2023.312
Qian, C., & Lobo Marques, J. A. (2023). Facial expression for marketing and consumer behavior: A Bibliometric analysis from 2013-2023 using Data Visualization Tools. Proceedings of the 2023 14th International Conference on E-Business, Management and Economics, 270–275. https://doi.org/10.1145/3616712.3616717
Li, T., Fong, S., Lobo Marques, J. A., & Wong, R. K. (2018). Fast Cluster-learning with Prior Probability from Big Dataset. 2018 5th International Conference on Soft Computing & Machine Intelligence (ISCMI), 60–66. https://doi.org/10.1109/ISCMI.2018.8703219
Lobo Marques, J. A. (July 21). Finding the “BUY BUTTON”. The creation of the Laboratory of Neuroeconomics at USJ [Conference]. 12th International Conference on E-business, Management and Economics (ICEME 2021), Beijing China.
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
Li, T., Marques, J. A. L., & Fong, S. (2020). Health and Well-Being Education: Extending the SCARF Learning Analytics Model for Identifying the Learner Happiness Indicators. International Journal of Extreme Automation and Connectivity in Healthcare (IJEACH), 2(2), 42–53. https://doi.org/10.4018/IJEACH.2020070105
Nguyen Van, S., Lobo Marques, J. A., Biala, T. A., & Li, Y. (2021). Identification of Latent Risk Clinical Attributes for Children Born Under IUGR Condition Using Machine Learning Techniques. Computer Methods and Programs in Biomedicine, 200, 105842. https://doi.org/10.1016/j.cmpb.2020.105842

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Last update from database: 5/19/24, 6:47 AM (UTC)

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