Unceta Mendieta, Irene

Formació acadèmica

• Doctora en Matemáticas y Informática. Universidad de Barcelona
• MSc in Computational Science. Universiteit van Amsterdam
• Licenciatura en Física. Universidad de Barcelona

Àrees d'interès

• Altres especialitats matemàtiques especifiqueu
• Tecnologia dels ordinadors. Altres especifiqueu
• Altres especialitats relacionades amb l'ètica
• Inteligencia artificial
• Algoritmos
• Ética en ciencias sociales
• ODS 5 - Igualtat de gènere
• ODS 10 - Reducció de les desigualtats
• ODS 13 - Acció climàtica
• ODS 16 - Pau, justícia i institucions sòlides

Biografia

Publicacions destacades

• Borrellas, P., Unceta Mendieta, I. (2029). The Economics of Algorithmic Accountability (Unpublished doctoral dissertation). Departament d'Operacions, Innovació i Data Sciences.
• Nin Guerrero, J., Salbanya Rovira, B. & Unceta Mendieta, I. (2023, October). Resource allocation in home care services using reinforcement learning [Paper presentation]. 25è Congrés Català d'Intel·ligència Artificial CCIA 202325, Sant Fruitós de Bages.
• Statuto, N., Unceta Mendieta, I. & Nin Guerrero, J., Pujol Vila, O. (2023). A Scalable and Efficient Iterative Method for Copying Machine Learning Classifiers. Journal of Machine Learning Research, 24. DOI: https://doi.org/10.48550/arXiv.2302.02667.
• Unceta Mendieta, I., Nin Guerrero, J. (2022, January). Copying Machine Learning Classifiers [Paper presentation]. International Conference on AI and Financial Services, Madrid.
• Unceta Mendieta, I., Salbanya Rovira, B. & Nin Guerrero, J. (2021). On the Convergence of Financial Distress Propagation on Generic Networks. In Villaret, M., Alsinet, T. & Fernandez, C., Valls, A. (Eds.), Artificial Intelligence Research and Development - Proceedings of the 23rd International Conference of the Catalan Association for Artificial Intelligence, CCIA 2021, pp. 167-176. IOS Press BV. DOI: https://doi.org/10.3233/FAIA210130.
• Nin Guerrero, J., Pujol Vila, O. & Unceta Mendieta, I. (2021). Differential replication for credit scoring in regulated environments. Entropy, 23, pp. 407-424. DOI: https://doi.org/10.3390/e23040407.
• Borrellas, P., Unceta Mendieta, I. (2021). The challenges of machine learning and their economic implications. Entropy, 23 (3), pp. 1-23. DOI: https://doi.org/10.3390/e23030275.
• Borrellas i Martín, P., Unceta Mendieta, I. (2021). The challenges of machine learning and their economic implications. Entropy, 23 (103603). DOI: https://doi.org/10.3390/e23030275.
• Unceta Mendieta, I., Nin Guerrero, J. & Pujol, O. (2021). Differential replication for credit scoring in regulated environments. Entropy, 23 (4), 407. DOI: https://doi.org/10.3390/e23040407.
• Unceta Mendieta, I., Nin Guerrero, J. & Pujol, O. (2020). Risk mitigation in algorithmic accountability: The role of machine learning copies. PLOS ONE, 15 (11 November), e0241286. DOI: https://doi.org/10.1371/journal.pone.0241286.
• Unceta Mendieta, I., Nin Guerrero, J. & Pujol, O. (2020). Environmental adaptation and differential replication in machine learning. Entropy, 22 (10), pp. 1-14. DOI: https://doi.org/10.3390/e22101122.
• Unceta Mendieta, I., Nin Guerrero, J. & Pujol, O. (2020). Transactional Compatible Representations for High Value Client Identification: A Financial Case Study. In Barbosa, H., Menezes, R. & Gomez-Gardenes, J., Gonçalves, B., Mangioni, G., Oliveira, M. (Eds.), Complex Networks XI - Proceedings of the 11th Conference on Complex Networks, CompleNet 2020, pp. 334-345. Springer. DOI: https://doi.org/10.1007/978-3-030-40943-2_28.
• Unceta Mendieta, I., Nin Guerrero, J. & Pujol, O. (2020). Copying Machine Learning Classifiers. IEEE Access, 8, pp. 160268-160284. DOI: https://doi.org/10.1109/ACCESS.2020.3020638.
• Unceta Mendieta, I., Palacios, D. & Nin Guerrero, J., Pujol, O. (2020). Sampling unknown decision functions to build classifier copies. In Torra, V., Narukawa, Y. & Nin, J., Agell, N. (Eds.), Modeling Decisions for Artificial Intelligence - 17th International Conference, MDAI 2020, Proceedings, pp. 192-204. Springer. DOI: https://doi.org/10.1007/978-3-030-57524-3_16.
• Unceta Mendieta, I., Nin Guerrero, J. & Pujol, O. (2019). From batch to online learning using copies. In Sabater-Mir, J., Torra, V. & Aguilo, I., Gonzalez-Hidalgo, M. (Eds.), Artificial Intelligence Research and Development - Proceedings of the 22nd International Conference of the Catalan Association for Artificial Intelligence, CCIA 2019, pp. 125-134. IOS Press. DOI: https://doi.org/10.3233/FAIA190115.
• Unceta Mendieta, I., Nin Guerrero, J. & Pujol, O. (2019). Using Copies to Remove Sensitive Data: A Case Study on Fair Superhero Alignment Prediction. In Morales, A., Fierrez, J. & Sánchez, J. S., Ribeiro, B. (Eds.), Pattern Recognition and Image Analysis - 9th Iberian Conference, IbPRIA 2019, Proceedings, pp. 182-193. Springer. DOI: https://doi.org/10.1007/978-3-030-31332-6_16.