Hernández Álvarez Myriam Beatriz
Departamento de Informática y Ciencias de la Computación
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Oficina: 207
Ext: 4711
iD orcid.org/0000-0003-4718-0400
Estudios
  1. Ingeniera en Electrónica y Telecomunicaciones en Escuela Politécnica Nacional
  2. Magíster en Ciencias en The Ohio University
  3. Especialista Superior en Dirección de empresas mención mercadeo en Universidad Andina Simón Bolívar
  4. Doctora en Aplicaciones de la Informática en Universitat D'alacant / Universidad de Alicante
Líneas de investigación
  1. DICC-A1-L1 Inteligencia Artificial
  2. DICC-A1-L2 Machine learning
  3. DICC-A2-L1 Computación Aplicada a las Comunicaciones y Seguridades
  4. DICC-A2-L2 Seguridad y Privacidad
  5. DICC-A4-L1 Computación Aplicada a los Sistemas de Información
  6. DICC-A4-L3 Sistemas de Información
Publicaciones
  1. Herrera-Silva, J., & Hernández-Álvarez, M. (2023). Dynamic Feature Dataset for Ransomware Detection Using Machine Learning Algorithms. Sensors 2023. doi: https://doi.org/10.3390/s23031053 
  2. Marcillo, P., Tamayo Urgilés, D., Valdivieso Caraguay, Á., & Hernández Álvarez, M. (2022). Security in V2I Communications: A Systematic Literature Review. Sensors 2022, 22(23), 9123. doi: https://doi.org/10.3390/s22239123 
  3. Martínez S., C. J. ., Moreno A., H. O. ., & Hernández A., M. B. . (2023). Analysis of Intrusions into Computer Systems using Honeypots. International Journal of Intelligent Systems and Applications in Engineering, 11(6s), 461–472. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/2871 
  4. Marcillo, P., Valdivieso Caraguay, Á. L., & Hernández-Álvarez, M. (2022). A Systematic Literature Review of Learning-Based Traffic Accident Prediction Models Based on Heterogeneous Sources. Applied Sciences, 12(9), 4529.
  5. Hernández-Álvarez, M., & Granizo, S. L. (2021). Detection of Human Trafficking Ads in Twitter Using Natural Language Processing and Image Processing. Advances in Intelligent Systems and Computing, 1213 AISC, 77–83. https://doi.org/10.1007/978-3-030-51328-3_12
  6. Torres, E. P., Torres, E. A., Hernández-Álvarez, M., & Yoo, S. G. (2021). Machine Learning Analysis of EEG Measurements of Stock Trading Performance. Advances in Intelligent Systems and Computing, 1213 AISC, 53–60. https://doi.org/10.1007/978-3-030-51328-3_9
  7. Torres P, E. P., Torres H, E., Hernández-Álvarez, M., & Yoo, S. G. (2021). EEG-Based BCI Emotion Recognition Using the Stock-Emotion Dataset. Advances in Intelligent Systems and Computing, 1302, 226–235. https://doi.org/10.1007/978-3-030-63665-4_18
  8. Culqui-Culqui, G., Sanchez-Gordon, S., & Hernández-Álvarez, M. (2021). An Algorithm for Classifying Handwritten Signatures Using Convolutional Networks. IEEE Latin America Transactions, 20(3), 465-473.
  9. Torres, E. P., Torres, E. A., Hernández-Álvarez, M., & Yoo, S. G. (2021, July). Real-Time Emotion Recognition for EEG Signals Recollected from Online Poker Game Participants. In International Conference on Applied Human Factors and Ergonomics (pp. 236-241). Springer, Cham.
  10. Marcillo, P., Barona López, L. I., Valdivieso Caraguay, Á. L., & Hernández-Álvarez, M. (2021, February). A Review of Learning-Based Traffic Accident Prediction Models and Their Opportunities to Improve Information Security. In International Conference on Information Technology & Systems (pp. 386-395). Springer, Cham.
  11. Martinez Santander, C. J., Moreno, H., & Hernandez Alvarez, M. B. (2020). The evolution from traditional to intelligent web security: Systematic literature review. 2020 International Symposium on Networks, Computers and Communications, ISNCC 2020. https://doi.org/10.1109/ISNCC49221.2020.9297240
  12. Torres, E. P., Torres, E. A., Hernández-Álvarez, M., & Yoo, S. G. (2020). Emotion recognition related to stock trading using machine learning algorithms with feature selection. Ieee Access, 8, 199719-199732.
  13. Granizo, S. L., Caraguay, Á. L. V., López, L. I. B., & Hernández-Álvarez, M. (2020). Detection of possible illicit messages using natural language processing and computer vision on twitter and linked websites. IEEE Access, 8, 44534-44546.
  14. Torres P., E. P., Torres, E. A., Hernández-Álvarez, M., & Yoo, S. G. (2020). EEG-based BCI emotion recognition: A survey. Sensors (Switzerland), 20(18), 1–36. https://doi.org/10.3390/s20185083
  15. Hernández-Álvarez, M., & Granizo, S. L. (2020, July). Detection of human trafficking ads in twitter using natural language processing and image processing. In International Conference on Applied Human Factors and Ergonomics (pp. 77-83). Springer, Cham.
  16. Marcillo, P., Barona López, L. I., Valdivieso Caraguay, Á. L., & Hernández-Álvarez, M. (2020, July). Modeling of a Vehicle Accident Prediction System Based on a Correlation of Heterogeneous Sources. In International Conference on Applied Human Factors and Ergonomics (pp. 260-266). Springer, Cham.
  17. Torres, E., Granizo, S. L., & Hernandez-Alvarez, M. (2019). Gender and age classification based on human features to detect illicit activity in suspicious sites. Proceedings - 6th Annual Conference on Computational Science and Computational Intelligence, CSCI 2019, 416–419. https://doi.org/10.1109/CSCI49370.2019.00081
  18. Torres P, E. P., Hernández-Álvarez, M., Torres Hernández, E. A., & Yoo, S. G. (2019). Stock Market Data Prediction Using Machine Learning Techniques. Advances in Intelligent Systems and Computing, 918, 539–547. https://doi.org/10.1007/978-3-030-11890-7_52
  19. Hernandez-Alvarez, M. (2019). Detection of possible human trafficking in twitter. Proceedings - 2019 International Conference on Information Systems and Software Technologies, ICI2ST 2019, 187–191. https://doi.org/10.1109/ICI2ST.2019.00034
  20. Silva, J. A. H., López, L. I. B., Caraguay, Á. L. V., & Hernández-Álvarez, M. (2019). A survey on situational awareness of ransomware attacks—detection and prevention parameters. Remote Sensing, 11(10).
  21. Silva, J. A. H., Veloz, F. D. B., López, L. I. B., Leonardo, Á., Caraguay, V., & Hernández-Álvarez, M. (2019). Dataset de Ransomware basado en análisis dinámico. Revista Ibérica de Sistemas e Tecnologias de Informação, (E23), 248-261.
  22. Veloz, F. D. B., López, L. I. B., Caraguay, Á. L. V., & Álvarez, M. B. H. (2019). Indicadores para la detección de ataques ransomware. Revista Ibérica de Sistemas e Tecnologias de Informação, (E19), 493-506.
  23. Burbano, D., & Hernandez-Alvarez, M. (2018). Illicit, Hidden Advertisements on Twitter. 2018 5th International Conference on EDemocracy and EGovernment, ICEDEG 2018, 317–321. https://doi.org/10.1109/ICEDEG.2018.8372370
  24. Burbano, D., & Hernandez-Alvarez, M. (2018). Identifying human trafficking patterns online. 2017 IEEE 2nd Ecuador Technical Chapters Meeting, ETCM 2017, 2017-January, 1–6. https://doi.org/10.1109/ETCM.2017.8247461
  25. Silva, J. A. H., & Hernandez-Alvarez, M. (2018). Large scale ransomware detection by cognitive security. 2017 IEEE 2nd Ecuador Technical Chapters Meeting, ETCM 2017, 2017-January, 1–4. https://doi.org/10.1109/ETCM.2017.8247484
  26. Yoo, S. G., & Myriam, H.-Á. (2018). Predicting residential electricity consumption using neural networks: A case study. Journal of Physics: Conference Series, 1072(1). https://doi.org/10.1088/1742-6596/1072/1/012005
  27. Hernández-Alvarez, M., Gomez Soriano, J. M., & Martínez-Barco, P. (2017). Citation function, polarity and influence classification. Natural Language Engineering, 23(4), 561–588. https://doi.org/10.1017/S1351324916000346
  28. Hernández-Alvarez, M., & Gomez, J. M. (2016). Survey about citation context analysis: Tasks, techniques, and resources. Natural Language Engineering, 22(3), 327–349. https://doi.org/10.1017/S1351324915000388
  29. Hernández-Álvarez, M., Soriano, J. G., & Martínez-Barco, P. (2016). Annotated corpus for citation context analysis. Latin American Journal of Computing, 3(1), 35-42.
  30. Hernández-Alvarez, M., & Gómez, J. M. (2015, October). Citation impact categorization: for scientific literature. In 2015 IEEE 18th International Conference on Computational Science and Engineering (pp. 307-313). IEEE.
  31. Hernández Álvarez, Myriam; Gómez Soriano, José Esquema de anotación para categorización de citas en bibliografía científica Procesamiento del Lenguaje Natural, núm. 54, marzo, 2015, pp. 45-52 Sociedad Española para el Procesamiento del Lenguaje Natural.
  32. Acosta, O., Aguilar, C., Abdullah, N., Amsler, M., Ayetiran, E. F., Bakis, R., ... & Zock, M. (2015). Natural Language Processing and Cognitive Science: Proceedings 2014. Walter de Gruyter GmbH & Co KG.
  33. Hernández, M., & Gómez, J. M. (2015). Sentiment, polarity and function analysis in bibliometrics: A review. Natural Language Processing and Cognitive Science, 10, 149-160.
  34. Hernandez Alvarez, M., & Gomez Soriano, J. (2015). Annotation scheme for citation classification in scientific literature. PROCESAMIENTO DEL LENGUAJE NATURAL, (54), 45-52.
  35. Alvarez, M. H. (2015). Concit-corpus context citation analysis to learn function, polarity and influence (Doctoral dissertation, Universitat d'Alacant-Universidad de Alicante).
  36. Hernández, M., & Gómez, J. M. (2014, June). Survey in sentiment, polarity and function analysis of citation. In Proceedings of the First workshop on argumentation mining (pp. 102-103).
  37. Hernandez, M., & Pontes, J. D. J. A. (2014, October). Proceedings of the Workshop on Natural Language Processing in the 5th Information Systems Research Working Days (JISIC). In Proceedings of the Workshop on Natural Language Processing in the 5th Information Systems Research Working Days (JISIC).
  38. Hernández, M. B., & Gómez, J. M. (2014). Análisis de Sentimientos Aplicado a Referencias Bibliográficas. Revista Politécnica, 33(1).
  39. Hernández, M. B., & Gómez, J. M. (2013). Aplicaciones de procesamiento de lenguaje natural. Revista Politécnica, 32.

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