Overview of the eHealth Knowledge Discovery Challenge at IberLEF 2019. - Alejandro Piad-Morffis; Yoan Gutiérrez; Juan Pablo Consuegra-Ayala; Suilan Estevez-Velarde; Yudivián Almeida-Cruz; Rafael Muñoz 001; Andrés Montoyo (IberLEF@SEPLN, 2019)

Deep Learning Approach for the Precision Medicine Track. - Juan Pablo Consuegra-Ayala; Giovanni Stilo; Alessandro Celi; Amleto Di Salle (TREC, 2019)

UH-MatCom at eHealth-KD Challenge 2020. - Juan Pablo Consuegra-Ayala; Manuel Palomar (IberLEF@SEPLN, 2020)

UH-MAJA-KD at eHealth-KD Challenge 2020. - Alejandro Rodríguez Pérez; Ernesto Quevedo Caballero; Jorge Mederos Alvarado; Rocío Cruz Linares; Juan Pablo Consuegra-Ayala (IberLEF@SEPLN, 2020)

Automatic extension of corpora from the intelligent ensembling of eHealth knowledge discovery systems outputs. - Juan Pablo Consuegra-Ayala; Yoan Gutiérrez; Alejandro Piad-Morffis; Yudivián Almeida-Cruz; Manuel Palomar (J. Biomed. Informatics, 2021)

Intelligent ensembling of auto-ML system outputs for solving classification problems. - Juan Pablo Consuegra-Ayala; Yoan Gutiérrez; Yudivián Almeida-Cruz; Manuel Palomar (Inf. Sci., 2022)

Automatic annotation of protected attributes to support fairness optimization. - Juan Pablo Consuegra-Ayala; Yoan Gutiérrez; Yudivián Almeida-Cruz; Manuel Palomar (Inf. Sci., 2024)

A multifaceted approach to detect gender biases in Natural Language Generation. - Juan Pablo Consuegra-Ayala; Iván Martínez-Murillo; Elena Lloret; Paloma Moreda; Manuel Palomar (Knowl. Based Syst., 2024)

Leading and non-leading prompts: Quantifying gender bias in Large Language Models through BiasBloom corpus. - Victoria Muñoz-García; Juan Pablo Consuegra-Ayala; Paloma Moreda (Knowl. Based Syst., 2025)

Bias mitigation for fair automation of classification tasks. - Juan Pablo Consuegra-Ayala; Yoan Gutiérrez; Yudivián Almeida-Cruz; Manuel Palomar (Expert Syst. J. Knowl. Eng., 2025)