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Academic Units

Faculty of Business and Law
- Alexandre Lobo

Publication year

Between 2000 and 2024

Results 90 resources

Abstracts

Ribeiro, P., Marques, J. A. L., Pordeus, D., Zacarias, L., Leite, C. F., Sobreira-Neto, M. A., Peixoto, A. A., de Oliveira, A., Madeiro, J. P. do V., & Rodrigues, P. M. (2024). Machine learning-based cardiac activity non-linear analysis for discriminating COVID-19 patients with different degrees of severity. Biomedical Signal Processing and Control, 87, 105558. https://doi.org/10.1016/j.bspc.2023.105558
Lai, C., & Marques, A. J. L. (2024). Aspects that constitute citizens’ trust in e-government - A review and framework development. Multidisciplinary Reviews, 7(2), 2024023–2024023. https://doi.org/10.31893/multirev.2024023
Ip, C. H., Lobo Marques, J. A., Dos Santos Silva, B. R., Cortez, P. C., & Barbosa, A. (2023). A Review on Open Innovation and Absorptive Capacity in Small and Medium Enterprises during the last decade - Analyzing Bibliometrics to Understand the Development of the Field. Proceedings of the 2023 14th International Conference on E-Business, Management and Economics, 417–422. https://doi.org/10.1145/3616712.3616786
Lin, C., & Lobo Marques, J. A. (2023). An Exploratory Comparison of Stock Prices Prediction using Multiple Machine Learning Approaches based on Hong Kong Share Market. Proceedings of the 2023 14th International Conference on E-Business, Management and Economics, 311–316. https://doi.org/10.1145/3616712.3616762
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
Zeng, I. M., & Lobo Marques, J. A. (2023). Neuromarketing As A Tool To Measure And Evaluate The Consumer Behaviour Of Guanding Teahouse’s Social Media Advertisement. Proceedings of the 2023 14th International Conference on E-Business, Management and Economics, 63–69. https://doi.org/10.1145/3616712.3616787
Diakite, A. D., & Marques, J. A. L. (2023). Categorization of Foreign Aid Donors: A Critical Review of the Criteria in Light of China’s Reemergence as a Donor. Journal of Global South Studies, 40(2). https://journals.upress.ufl.edu/JGSS/article/view/2381
Marques, J. A. L. (2023, December). Connecting Neuromarketing and AI - a path to new insights and analysis [CONFERENCE INVITED SPEECH]. Neuromarathon, Italian Association of Neuromarketing.
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
Hsu, H.-T., & Marques, J. A. L. (2023). Neurofinance: Exploratory Analysis Stock Trader’s Decision-Making Process by Real-Time Monitoring of Emotional Reactions. European Conference on Management Leadership and Governance, 19(1), 147–155. https://doi.org/10.34190/ecmlg.19.1.1692
Marques, J. A. L. (2023). Leadership and Neurosciences - The analysis of emotional arousal during decision-making processes with decision-makers exposed to acute stress. European Conference on Management Leadership and Governance, 19(1), 232–239. https://doi.org/10.34190/ecmlg.19.1.1950
Zeng, I. M., & Marques, J. A. L. (2023). Neuromarketing: Evaluating Consumer Emotions and Preferences to Improve Business Marketing Management. European Conference on Management Leadership and Governance, 19(1), 436–444. https://doi.org/10.34190/ecmlg.19.1.1876
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. (2023, May 26). Intelligent Data Fusion System for Assessing and Classifying the Long-Term Effects of Exposure to COVID-19 in Pregnancy (Long Covid): Associated Neurophysiological and Epigenetic Mechanisms and Consequences for Infant Development [Conference]. 2023 7th International Conference on Data Mining, Communications and Information Technology (DMCIT & CSMO 2023), Chongqin, China.
Goncalves, M., Lobo Marques, J. A., Silva, B. R. S., Luther, V., & Hayes, S. (2023). Neuromarketing and Global Branding Reaction Analysis Based on Real-Time Monitoring of Multiple Consumer’s Biosignals and Emotions. Journal of International Business and Management, 6(5), 01–32. https://doi.org/10.37227/JIBM-2023-04-5912
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
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
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
Bernardo Gois, F. N., Lobo Marques, J. A., & Fong, S. J. (2023). Classification of COVID-19 CT Scans Using Convolutional Neural Networks and Transformers. In J. A. Lobo Marques & S. J. Fong (Eds.), Computerized Systems for Diagnosis and Treatment of COVID-19 (pp. 79–97). Springer International Publishing. https://doi.org/10.1007/978-3-031-30788-1_6

Last update from database: 5/12/24, 1:16 PM (UTC)

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