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Academic Units

Faculty of Business and Law

Publication year

Between 2000 and 2024
- Between 2020 and 2024

Results 131 resources

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Abstracts

Arraut, I. (2023). Gauge symmetries and the Higgs mechanism in Quantum Finance (No. arXiv:2306.03237). arXiv. https://doi.org/https://doi.org/10.48550/arXiv.2306.03237
Arraut, I. (2023). Gauge symmetries and the Higgs mechanism in Quantum Finance. Europhysics Letters, 143(4), 42001. https://doi.org/10.1209/0295-5075/acedce
Arraut, I. (2024). Hawking Radiation as a Manifestation of Spontaneous Symmetry Breaking. Symmetry, 16(5), 519. https://doi.org/10.3390/sym16050519
Arraut, I. (2023). The solution to the Hardy’s paradox (No. arXiv:2106.06397). arXiv. https://doi.org/10.48550/arXiv.2106.06397
Arraut, I. (2023). The Tully-Fisher law and dark matter effects derived via modified symmetries. Europhysics Letters, 144(2), 29003. https://doi.org/10.1209/0295-5075/ad05f7
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
Arraut, I., & Lei, K.-I. (2023). The Role of the Volatility in the Option Market. AppliedMath, 3(4), 882–908. https://doi.org/10.3390/appliedmath3040047
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
Arraut, I., Marques, J. A. L., Fong, S. J., Li, G., Gois, F. N. B., & Neto, J. X. (2022). A Quantum Field Formulation for a Pandemic Propagation. In J. A. L. Marques & S. J. Fong (Eds.), Epidemic Analytics for Decision Supports in COVID19 Crisis (pp. 141–158). Springer International Publishing. https://doi.org/10.1007/978-3-030-95281-5_6
Arraut, I., Rosado, W., & Leong, V. (2024). Revenue Management in Airlines and External Factors Affecting Decisions: The Harmonic Oscillator Model. Mathematics, 12(6), 847. https://doi.org/10.3390/math12060847
Arraut, I., Segovia, C., & Rosado, W. (2023). The Hawking Radiation in Massive Gravity: Path Integral and the Bogoliubov Method. Universe, 9(5), 228. https://doi.org/10.3390/universe9050228
Arraut, J. M., Arraut, I., & Lei, K. I. (2023, July 3). Machine learning over the free-parameters of the Black-Scholes equation: Stock market and Option market. LatinX in AI Workshop at ICML 2023 (Regular Deadline). https://openreview.net/forum?id=e1pAJTU2Nh
Banda, J. M., Ruiz-Garcia, A., Montoya, L. N., & Arraut, I. (2023). LatinX in AI research. Neural Computing and Applications, 35, 18097–18098. https://doi.org/10.1007/s00521-023-08790-9
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
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
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
Caldas, W. L., do Vale Madeiro, J. P., Pedrosa, R. C., Gomes, J. P. P., Du, W., & Marques, J. A. L. (2023). Noise Detection and Classification in Chagasic ECG Signals Based on One-Dimensional Convolutional Neural Networks. In R. Lee (Ed.), Computer and Information Science (pp. 117–129). Springer International Publishing. https://doi.org/10.1007/978-3-031-12127-2_8
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
Chan, J. W. P., & Phillips, J. O. L. (2023). Factors influencing disability inclusion practice on social media. Proceedings of the 2023 14th International Conference on E-Business, Management and Economics, 131–139. https://doi.org/10.1145/3616712.3616790

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