A Fuzzy Random Forest Approach for the Detection of Diabetic Retinopathy on Electronic Health Record Data. - Emran Saleh; Antonio Moreno; Aïda Valls; Pedro Romero-Aroca; Sofia de la Riva-Fernandez (CCIA, 2016)

Diabetic Retinopathy Risk Estimation Using Fuzzy Rules on Electronic Health Record Data. - Emran Saleh; Aïda Valls; Antonio Moreno; Pedro Romero-Aroca; Sofia de la Riva-Fernandez; Ramon Sagarra-Alamo (MDAI, 2016)

Integration of Different Fuzzy Rule-Induction Methods to Improve the Classification of Patients with Diabetic Retinopathy. - Emran Saleh; Aïda Valls; Antonio Moreno; Pedro Romero-Aroca (CCIA, 2017)

Learning Fuzzy Measures for Aggregation in Fuzzy Rule-Based Models. - Emran Saleh; Aïda Valls; Antonio Moreno; Pedro Romero-Aroca; Vicenç Torra; Humberto Bustince (MDAI, 2018)

Learning ensemble classifiers for diabetic retinopathy assessment. - Emran Saleh; Jerzy Blaszczynski; Antonio Moreno; Aïda Valls; Pedro Romero-Aroca; Sofia de la Riva-Fernandez; Roman Slowinski (Artif. Intell. Medicine, 2018)

A Hierarchically ⊥-Decomposable Fuzzy Measure-Based Approach for Fuzzy Rules Aggregation. - Emran Saleh; Aïda Valls; Antonio Moreno; Pedro Romero-Aroca; Humberto Bustince; Vicenç Torra (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2019)