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Ramon E. Diaz-Ramos

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2020 – today

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2024
[j3]
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  - journals/cogcom/GomezCraviotoDOC24
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Daniela A. Gomez-Cravioto, Ramon E. Diaz-Ramos, Francisco J. Cantú Ortiz, Hector G. Ceballos:
Data Analysis and Forecasting of the COVID-19 Spread: A Comparison of Recurrent Neural Networks and Time Series Models. Cogn. Comput. 16(4): 1794-1805 (2024)
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Mashrura Tasnim, Ramon E. Diaz-Ramos, Eleni Stroulia, Luis A. Trejo:
A Machine-Learning Model for Detecting Depression, Anxiety, and Stress from Speech. ICASSP 2024: 7085-7089
2022
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Daniela A. Gomez-Cravioto, Ramon E. Diaz-Ramos, Neil Hernández-Gress, Jose Luis Preciado, Hector G. Ceballos:
Supervised machine learning predictive analytics for alumni income. J. Big Data 9(1): 11 (2022)
2021
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Ramon E. Diaz-Ramos, Daniela A. Gomez-Cravioto, Luis A. Trejo, Carlos Figueroa López, Miguel Angel Medina-Pérez:
Towards a Resilience to Stress Index Based on Physiological Response: A Machine Learning Approach. Sensors 21(24): 8293 (2021)

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