Methodology for Experiments with Machine Learning Algorithms
PHASES
Introduction to machine learning
Phase 0
Selection of the study topic
Phase 1
Knowledge application
Phase 5
PUBLICATIONS
If memla.mx was helpful to you, feel free to cite us:
Loeza-Mejía, C. I., Sánchez-DelaCruz, E., & José-Guzmán, I. O. (2025).
Machine learning methodologies: history and challenges. Evolutionary Intelligence, 18(3), 1-32. https://doi.org/10.1007/s12065-025-01047-5
Other publications
Primero-Huerta, C., Vázquez-Reyes, S. F., Loeza-Mejía, C. I., & Sánchez-DelaCruz, E. (2024).
A Novel Framework for the Semiautomatic Generation of Research Protocols by Applying Transformer Network, 2024 13th International Conference On Software Process Improvement (CIMPS), Mérida, Yucatán, Mexico, pp. 277-283. https://doi.org/10.1109/CIMPS65195.2024.11095848
Zavaleta-Sánchez, E., Domínguez-Sánchez, G., Loeza-Mejía, C. I., & Sánchez-DelaCruz, E. (2024).
Comparative Study of KDD and CRISP-DM Methodologies for Phishing Identification. Proceedings of Ninth International Congress on Information and Communication Technology. ICICT 2024. Lecture Notes in Networks and Systems, vol 1013. Springer. https://doi.org/10.1007/978-981-97-3559-4_25
