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., 2023)

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)

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)

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)

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)

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)

Feature optimization and machine learning for predicting students' academic performance in higher education institutions. - Aom Perkash; Qaisar Shaheen; Robina Saleem; Furqan Rustam; Mónica Gracia Villar; Eduardo Silva Alvarado; Isabel de la Torre Díez; Imran Ashraf (Educ. Inf. Technol., 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, 2024)

Detecting hate in diversity: a survey of multilingual code-mixed image and video analysis. - Hafiz Muhammad Raza Ur Rehman; Mahpara Saleem; Muhammad Zeeshan Jhandir; Eduardo Silva Alvarado; Helena Garay; Imran Ashraf (J. Big Data, 2025)