AI Fairness

• Dominguez-Catena, I., Paternain, D., & Galar, M. (2024). Metrics for Dataset Demographic Bias: A Case Study on Facial Expression Recognition. In IEEE Transactions on Pattern Analysis and Machine Intelligence (pp. 1–18). Institute of Electrical and Electronics Engineers (IEEE). 🔗 Link PDF
• Dominguez-Catena, I., Paternain, D., & Galar, M. (2023). DSAP: Analyzing Bias through demographic Comparison of datasets. arXiv (Cornell University). 🔗 Link PDF
• Dominguez-Catena, I., Paternain, D., & Galar, M. (2023). Gender Stereotyping Impact in Facial Expression Recognition. In Communications in Computer and Information Science (pp. 9–22). Springer Nature Switzerland. 🔗 Link PDF (arXiv)
• Dominguez-Catena, I., Paternain, D., & Galar, M. (2023). Assessing Demographic Bias Transfer from Dataset to Model: A Case Study in Facial Expression Recognition. In Proceedings of the Workshop on Artificial Intelligence Safety 2022 (AISafety 2022) co-located with the Thirty-First International Joint Conference on Artificial Intelligence and the Twenty-Fifth European Conference on Artificial Intelligence (IJCAI-ECAI-2022), Vienna, Austria. PDF

OWA operators

• Dominguez-Catena, I., Paternain, D., & Galar, M. (2020). Learning Channel-Wise Ordered Aggregations in Deep Neural Networks. In Advances in Intelligent Systems and Computing (pp. 1023–1030). Springer International Publishing. 🔗 Link
• Dominguez-Catena, I., Paternain, D., & Galar, M. (2021). A Study of OWA Operators Learned in Convolutional Neural Networks. In Applied Sciences (Vol. 11, Issue 16, p. 7195). MDPI AG. 🔗 Link
• Dominguez-Catena, I., Paternain, D., & Galar, M. (2020). Additional Feature Layers from Ordered Aggregations for Deep Neural Networks. In 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE. 🔗 Link