Montenegro Armas Carlos Estalesmit
Departamento de Informática y Ciencias de la Computación
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Oficina: Decanato
Ext: 4700
  1. Ingeniero Mecánico en Escuela Politécnica Nacional 
  2. Magíster en Ciencias de la Computación e Informática en Escuela Politécnica Nacional
Líneas de investigación
  1. DICC-A1-L2 Machine learning
  2. DICC-A4-L1 Aplicada a los Sistemas de Información
  3. DICC-A4-L3 Sistemas de Información
  1. Montenegro, C., Murillo, M., Gallegos, F., & Albuja, J. (2016). DSR Approach to Assessment and Reduction of Information Security Risk in TELCO. IEEE Latin America Transactions, 14(5), 2402–2410.
  2. Navarrete, R., Montenegro, C., & Recalde, L. (2021). Systematic Mapping on Embedded Semantic Markup Validated with Data Mining Techniques. Advances in Intelligent Systems and Computing, 1213 AISC, 384–391.
  3. Montenegro, C.-D., Nunes-Da-Silva, P., & Montenegro, C. (2020). E-Democracy: Can We Model Adequately the Close National Presidential Elections? ACM International Conference Proceeding Series, 142–147.
  4. Montenegro, C., Loza-Aguirre, E., Segura, M., & Yanez, E. (2020). Core Topics Discovery in Sustainable Supply Chain Literature: An Automatic Approach. Journal of Physics: Conference Series, 1454(1).
  5. Montenegro, C., & Navarrete, R. (2020). Improving core topics discovery in semantic markup literature: A combined approach. ACM International Conference Proceeding Series, 237–243.
  6. Montenegro, C., & Molina, M. (2020). Using Deep Neural Networks for Stock Market Data Forecasting: An Effectiveness Comparative Study. Advances in Intelligent Systems and Computing, 1066, 399–408.
  7. Navarrete, R., Recalde, L., Montenegro, C., & Lujan-Mora, S. (2019). Analyzing embedded semantic with JSON-LD and microdata for educational resources in large scale web datasets. Proceedings - 6th Annual Conference on Computational Science and Computational Intelligence, CSCI 2019, 1133–1138.
  8. Jimenez, C., Molina, M., & Montenegro, C. (2019). Deep learning - Based models for drug-drug interactions extraction in the current biomedical literature [Modelos basados en Aprendizaje Profundo para Extraccion de Interacciones Medicamentosas en la Literatura Biomedica Actual]. Proceedings - 2019 International Conference on Information Systems and Software Technologies, ICI2ST 2019, 174–181.
  9. Montenegro, C., & Molina, M. (2019). A DNN approach to improving the short-term investment criteria for S&P500 index stock market. ACM International Conference Proceeding Series, 100–104.
  10. Montenegro, C., Segura, M., & Loza-Aguirre, E. (2019). Identifying the orientations of sustainable supply chain research using data mining techniques: Contributions and new developments. Advances in Intelligent Systems and Computing, 865, 121–131.
  11. Arévalo, R., & Montenegro, C. (2019). How to govern VSE teams: Experiences through a model and case study. Communications in Computer and Information Science, 895, 220–232.
  12. Larco, A., Montenegro, C., & Lujan-Mora, S. (2018). Quality improvement criteria of apps in Spanish for people with disabilities. 2018 4th International Conference on Information Management, ICIM 2018, 261–264.
  13. Larco, A., Montenegro, C., Diaz, E., & Lujan-Mora, S. (2018). Underlying Quality Factors in Spanish Language Apps for People with Disabilities. 2018 5th International Conference on EDemocracy and EGovernment, ICEDEG 2018, 110–116.
  14. Montenegro, C., & Arévalo, R. (2018). Software Development Governance for VSE-SCRUM teams: Model and evaluation in a developing country. ACM International Conference Proceeding Series, 1–5.
  15. Montenegro, C., & Barragán, G. (2018). Alignment of software project management with the business strategy in VSEs: Model and evaluation. Advances in Intelligent Systems and Computing, 721, 178–190.
  16. Larco, A., Yanez, C., Montenegro, C., & Luján-Mora, S. (2018). Moving beyond limitations: Evaluating the quality of android apps in spanish for people with disability. Advances in Intelligent Systems and Computing, 721, 640–649.
  17. Montenegro, C., Loza-Aguirre, E., & Segura-Morales, M. (2018). Using probabilistic topic models to study orientation of sustainable supply chain research. Advances in Intelligent Systems and Computing, 745, 576–586.
  18. Montenegro, C., Nuñez, N., & Larco, A. (2017). It outsourcing improvement: Contractual model of governance and management from customer perspective: Evaluation in an Ecuadorian institution of financial sector. Advances in Intelligent Systems and Computing, 569, 616–627.
  19. Roldán, H., Larco, A., & Montenegro, C. (2017). IT process improvement in telehomecare services for diabetic/hypertensive patients in a developing country: Design and evaluation into an ecuadorian company. Advances in Intelligent Systems and Computing, 570, 835–846.
  20. Montenegro, C., De La Torre, A., Néjer, M., & Zapata, M. (2017). An experience to improving IT development into developing country public sector organizations. Proceedings of the 11th European Conference on Information Systems Management, ECISM 2017, 199–207.
  21. Montenegro, C., & Moncayo, D. (2016). Information security risk in SMEs: A hybrid model compatible with IFRS: Evaluation in two Ecuadorian SMEs of automotive sector. Proceedings of the 6th International Conference on Information Communication and Management, ICICM 2016, 115–120.
  22. Montenegro, C., Fonseca, R., & Larco, A. (2016). IT process improvement: Developing an agile model using the DSR approach [Mejora de procesos de TI: Desarrollo de un Modelo Ágil con la aplicación del Paradigma DSR]. Applications in Software Engineering - Proceedings of the 5th International Conference on Software Process Improvement, CIMPS 2016, 2017-Janua, 1–7.
  23. Montenegro, C. W., & Flores, D. A. (2016). An integrated model for ICT Governance and Management applied to the Council for Evaluation, Accreditation and Quality Assurance of Higher Education Institutions in Ecuador (CEAACES). 2015 International Conference on Computing, Communication and Security, ICCCS 2015.

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