Towards a Supervised Incremental Learning System for Automatic Recognition of the Skeletal Age. - Fernando Montoya Manzano; Salvador Eugenio Ayala-Raggi; Susana Sánchez-Urrieta; Aldrin Barreto-Flores; José Francisco Portillo-Robledo; Verónica Edith Bautista-López (MCPR, 2016)

Towards an Automatic Estimation of Skeletal Age Using k-NN Regression with a Reduced Set of Tinny Aligned Regions of Interest. - José Luis Tonatiúh Banda-Escobar; Salvador Eugenio Ayala-Raggi; Aldrin Barreto-Flores; Susana Sánchez-Urrieta; José Francisco Portillo-Robledo; Alinne Michelle Sánchez-Tomay; Verónica Edith Bautista-López (MICAI (2), 2017)

A Supervised Incremental Learning Technique for Automatic Recognition of the Skeletal Maturity, or can a Machine Learn to Assess Bone Age Without Radiological Training from Experts? - Salvador Eugenio Ayala-Raggi; Fernando Montoya Manzano; Aldrin Barreto-Flores; Susana Sánchez-Urrieta; José Francisco Portillo-Robledo; Verónica Edith Bautista-López; Patricia Ayala-Raggi (Int. J. Pattern Recognit. Artif. Intell., 2018)

Design of E. coli Growth Simulator Using Multi-agent System. - Salvador Eugenio Ayala-Raggi; Luís Efraín López-García; Jesús Manuel Roa-Escalante; Lourdes Gabriela Soid-Raggi; Aldrin Barreto-Flores; José Francisco Portillo-Robledo (IBERAMIA, 2022)

Synergizing Chest X-ray Image Normalization and Discriminative Feature Selection for Efficient and Automatic COVID-19 Recognition. - Salvador Eugenio Ayala-Raggi; Angel Ernesto Picazo-Castillo; Aldrin Barreto-Flores; José Francisco Portillo-Robledo (ACPR (2), 2023)

Normalización de radiografías de tórax para la detección de neumonía mediante algoritmos tradicionales de aprendizaje de máquina. - Salvador Eugenio Ayala-Raggi; Angel Ernesto Picazo-Castillo; Aldrin Barreto-Flores; José Francisco Portillo-Robledo (Res. Comput. Sci., 2023)

Comparative Study of Lung Image Representations for Automated Pneumonia Recognition. - Angel Ernesto Picazo-Castillo; Salvador Eugenio Ayala-Raggi; Leopoldo Altamirano Robles; Aldrin Barreto-Flores; José Francisco Portillo-Robledo (Int. J. Comb. Optim. Probl. Informatics, 2024)