Eduardo Silva Alvarado

According to our database, Eduardo Silva Alvarado authored at least 7 papers between 2023 and 2024.

Collaborative distances:

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

2024

Data oversampling and imbalanced datasets: an investigation of performance for machine learning and feature engineering.

Muhammad Mujahid, Erol Kina, Furqan Rustam, Mónica Gracia Villar, Eduardo Silva Alvarado, Isabel de la Torre Díez, Imran Ashraf

J. Big Data, December, 2024

Clinical phenotypes and short-term outcomes based on prehospital point-of-care testing and on-scene vital signs.

Raúl López-Izquierdo, Carlos del Pozo Vegas, Ancor Sanz-García, Agustín Mayo-Íscar, Miguel Ángel Castro Villamor, Eduardo Silva Alvarado, Santos Gracia Villar, Luis Alonso Dzul López, Silvia Aparicio Obregon, Rubén Calderon Iglesias, Joan B. Soriano, Francisco Martín-Rodríguez

npj Digit. Medicine, 2024

The Interplay of Lean Six Sigma, Industry 4.0, and Dynamic Capabilities: Pathways to Sustainable Competitive Advantage in North African Context.

Hanane Rifqi, Isabel de la Torre Díez, Elizabeth Caro Montero, Eduardo Silva Alvarado

IEEE Access, 2024

A Review of Approaches for Rapid Data Clustering: Challenges, Opportunities, and Future Directions.

Mahnoor, Imran Shafi, Mahnoor Chaudhry, Elizabeth Caro Montero, Eduardo Silva Alvarado, Isabel de la Torre Díez, Md Abdus Samad, Imran Ashraf

IEEE Access, 2024

Securing Smart Contracts in Fog Computing: Machine Learning-Based Attack Detection for Registration and Resource Access Granting.

Tahmina Ehsan, Muhammad Usman Sana, Muhammad Usman Ali, Elizabeth Caro Montero, Eduardo Silva Alvarado, Sirojiddin Djuraev, Imran Ashraf

IEEE Access, 2024

Enhancing Early Detection of Diabetic Retinopathy Through the Integration of Deep Learning Models and Explainable Artificial Intelligence.

Kazi Ahnaf Alavee, Mehedi Hasan, Abu Hasnayen Zillanee, Moin Mostakim, Jia Uddin, Eduardo Silva Alvarado, Isabel de la Torre Díez, Imran Ashraf, Md Abdus Samad

IEEE Access, 2024

2023

Forecasting of Post-Graduate Students' Late Dropout Based on the Optimal Probability Threshold Adjustment Technique for Imbalanced Data.

Carmen Lili Rodríguez Velasco, Eduardo García Villena, Julien Brito Ballester, Frigdiano Álvaro Durántez Prados, Eduardo Silva Alvarado, Jorge Crespo Álvarez

Int. J. Emerg. Technol. Learn., February, 2023