Additional Feature Layers from Ordered Aggregations for Deep Neural Networks. - Iris Dominguez-Catena; Daniel Paternain; Mikel Galar (FUZZ-IEEE, 2020)

Unsupervised Fuzzy Measure Learning for Classifier Ensembles From Coalitions Performance. - Mikel Uriz; Daniel Paternain; Iris Dominguez-Catena; Humberto Bustince; Mikel Galar (IEEE Access, 2020)

Assessing Demographic Bias Transfer from Dataset to Model: A Case Study in Facial Expression Recognition. - Iris Dominguez-Catena; Daniel Paternain; Mikel Galar (AISafety@IJCAI, 2022)

Gender Stereotyping Impact in Facial Expression Recognition. - Iris Dominguez-Catena; Daniel Paternain; Mikel Galar (PKDD/ECML Workshops (1), 2022)

Large Language Models Reflect the Ideology of their Creators. - Maarten Buyl; Alexander Rogiers; Sander Noels; Iris Dominguez-Catena; Edith Heiter; Raphaël Romero; Iman Johary; Alexandru Cristian Mara; Jefrey Lijffijt; Tijl De Bie (CoRR, 2024)

Metrics for Dataset Demographic Bias: A Case Study on Facial Expression Recognition. - Iris Dominguez-Catena; Daniel Paternain; Mikel Galar (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Facial Demography Analysis of the LAION Dataset. - Iris Dominguez-Catena; Daniel Paternain; Mikel Galar (EWAF, 2025)

DSAP: Analyzing bias through demographic comparison of datasets. - Iris Dominguez-Catena; Daniel Paternain; Mikel Galar (Inf. Fusion, 2025)

Biased Heritage: How Datasets Shape Models in Facial Expression Recognition. - Iris Dominguez-Catena; Daniel Paternain; Mikel Galar; MaryBeth Defrance; Maarten Buyl; Tijl De Bie (CoRR, 2025)

Less can be more: representational vs. stereotypical gender bias in facial expression recognition. - Iris Dominguez-Catena; Daniel Paternain; Aranzazu Jurio; Mikel Galar (Prog. Artif. Intell., 2025)