Ramon E. Diaz-Ramos

According to our database, Ramon E. Diaz-Ramos authored at least 4 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Data Analysis and Forecasting of the COVID-19 Spread: A Comparison of Recurrent Neural Networks and Time Series Models.

Daniela A. Gomez-Cravioto, Ramon E. Diaz-Ramos, Francisco J. Cantú Ortiz, Hector G. Ceballos

Cogn. Comput., July, 2024

A Machine-Learning Model for Detecting Depression, Anxiety, and Stress from Speech.

Mashrura Tasnim, Ramon E. Diaz-Ramos, Eleni Stroulia, Luis A. Trejo

Proceedings of the IEEE International Conference on Acoustics, 2024

2022

Supervised machine learning predictive analytics for alumni income.

Daniela A. Gomez-Cravioto, Ramon E. Diaz-Ramos, Neil Hernández-Gress, Jose Luis Preciado, Hector G. Ceballos

J. Big Data, 2022

2021

Towards a Resilience to Stress Index Based on Physiological Response: A Machine Learning Approach.

Ramon E. Diaz-Ramos, Daniela A. Gomez-Cravioto, Luis A. Trejo, Carlos Figueroa López, Miguel Angel Medina-Pérez

Sensors, 2021