Overview of TASS 2018: Opinions, Health and Emotions. - Eugenio Martínez Cámara; Yudivián Almeida-Cruz; Manuel Carlos Díaz-Galiano; Suilan Estévez-Velarde; Miguel Ángel García Cumbreras; Manuel García Vega; Yoan Gutiérrez; Arturo Montejo-Ráez; Andrés Montoyo; Rafael Muñoz 001; Alejandro Piad-Morffis; Julio Villena-Román (TASS@SEPLN, 2018)

AutoML Strategy Based on Grammatical Evolution: A Case Study about Knowledge Discovery from Text. - Suilan Estevez-Velarde; Yoan Gutiérrez; Andrés Montoyo; Yudivián Almeida-Cruz (ACL (1), 2019)

Optimizing Natural Language Processing Pipelines: Opinion Mining Case Study. - Suilan Estevez-Velarde; Yoan Gutiérrez; Andrés Montoyo; Yudivián Almeida-Cruz (CIARP, 2019)

Demo Application for LETO: Learning Engine Through Ontologies. - Suilan Estevez-Velarde; Andrés Montoyo; Yudivián Almeida-Cruz; Yoan Gutiérrez; Alejandro Piad-Morffis; Rafael Muñoz 001 (RANLP, 2019)

A Neural Network Component for Knowledge-Based Semantic Representations of Text. - Alejandro Piad-Morffis; Rafael Muñoz 001; Yoan Gutiérrez; Yudivián Almeida-Cruz; Suilan Estevez-Velarde; Andrés Montoyo (RANLP, 2019)

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)

Analysis of eHealth knowledge discovery systems in the TASS 2018 workshop. - Alejandro Piad-Morffis; Yoan Gutiérrez; Suilan Estévez-Velarde; Yudivián Almeida-Cruz; Andrés Montoyo; Rafael Muñoz 001 (Proces. del Leng. Natural, 2019)

Automatic Discovery of Heterogeneous Machine Learning Pipelines: An Application to Natural Language Processing. - Suilan Estevez-Velarde; Yoan Gutiérrez; Andrés Montoyo; Yudivián Almeida-Cruz (COLING, 2020)

Demo Application for the AutoGOAL Framework. - Suilan Estevez-Velarde; Alejandro Piad-Morffis; Yoan Gutiérrez; Andrés Montoyo; Rafael Muñoz Guillena; Yudivián Almeida-Cruz (COLING (Demonstrations), 2020)

Knowledge Discovery in COVID-19 Research Literature. - Alejandro Piad-Morffis; Suilan Estevez-Velarde; Ernesto Luis Estevanell-Valladares; Yoan Gutiérrez; Andrés Montoyo; Rafael Muñoz 001; Yudivián Almeida-Cruz (NLP4COVID@EMNLP, 2020)

Overview eHealth-KD 2020. - Alejandro Piad-Morffis; Yoan Gutiérrez; Hian Cañizares-Diaz; Suilan Estevez-Velarde; Rafael Muñoz 001; Andrés Montoyo; Yudivián Almeida-Cruz (IberLEF@SEPLN, 2020)

A computational ecosystem to support eHealth Knowledge Discovery technologies in Spanish. - Alejandro Piad-Morffis; Yoan Gutiérrez; Yudivián Almeida-Cruz; Rafael Muñoz 001 (J. Biomed. Informatics, 2020)

Active Learning for Assisted Corpus Construction: A Case Study in Knowledge Discovery from Biomedical Text. - Hian Cañizares-Diaz; Alejandro Piad-Morffis; Suilan Estevez-Velarde; Yoan Gutiérrez; Yudivián Almeida-Cruz; Andrés Montoyo; Rafael Muñoz Guillena (RANLP, 2021)

General-purpose hierarchical optimisation of machine learning pipelines with grammatical evolution. - Suilan Estevez-Velarde; Yoan Gutiérrez; Yudivián Almeida-Cruz; Andrés Montoyo (Inf. Sci., 2021)

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)

Overview of the eHealth Knowledge Discovery Challenge at IberLEF 2021. - Alejandro Piad-Morfis; Suilan Estevez-Velarde; Yoan Gutiérrez; Yudivián Almeida-Cruz; Andrés Montoyo; Rafael Muñoz 001 (Proces. del Leng. Natural, 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)

pactus: A Python framework for trajectory classification. - Gustavo Viera-López; Jorge J. Morgado-Vega; Alfredo Reyes; Ernesto Altshuler; Yudivián Almeida-Cruz; Giorgio Manganini (J. Open Source Softw., 2023)

Improving trajectory classification through Kramers-Moyal coefficients. - Gustavo Viera-López; Jorge J. Morgado-Vega; Alfredo Reyes; Ernesto Altshuler; Yudivián Almeida-Cruz; Giorgio Manganini (AI Open, 2024)

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

Balancing Efficiency and Performance in NLP: A Cross-Comparison of Shallow Machine Learning and Large Language Models via AutoML. - Ernesto Luis Estevanell-Valladares; Yoan Gutiérrez; Andrés Montoyo-Guijarro; Rafael Muñoz Guillena; Yudivián Almeida-Cruz (Proces. del Leng. Natural, 2024)

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)