Seshat - a web-based educational resource for teaching the most common algorithms of lexical analysis. - Álvar Arnaiz-González; José-Francisco Díez-Pastor; Ismael Ramos-Pérez; César García-Osorio (Comput. Appl. Eng. Educ., 2018)

When is resampling beneficial for feature selection with imbalanced wide data? - Ismael Ramos-Pérez; Álvar Arnaiz-González; Juan José Rodríguez; César García-Osorio (Expert Syst. Appl., 2022)

An experiment on animal re-identification from video. - Ludmila I. Kuncheva; José Luis Garrido-Labrador; Ismael Ramos-Pérez; Samuel L. Hennessey; Juan José Rodríguez (Ecol. Informatics, 2023)

Semi-supervised classification with pairwise constraints: A case study on animal identification from video. - Ludmila I. Kuncheva; José Luis Garrido-Labrador; Ismael Ramos-Pérez; Samuel L. Hennessey; Juan José Rodríguez (Inf. Fusion, 2024)

An Extensive Performance Comparison between Feature Reduction and Feature Selection Preprocessing Algorithms on Imbalanced Wide Data. - Ismael Ramos-Pérez; José Antonio Barbero-Aparicio; Antonio Canepa-Oneto; Álvar Arnaiz-González; Jesús Manuel Maudes Raedo (Inf., 2024)