Towards Global Explanations for Credit Risk Scoring. - Irene Unceta; Jordi Nin; Oriol Pujol (CoRR, 2018)

From Batch to Online Learning Using Copies. - Irene Unceta; Jordi Nin; Oriol Pujol (CCIA, 2019)

Using Copies to Remove Sensitive Data: A Case Study on Fair Superhero Alignment Prediction. - Irene Unceta; Jordi Nin; Oriol Pujol (IbPRIA (1), 2019)

Sampling Unknown Decision Functions to Build Classifier Copies. - Irene Unceta; Diego Palacios; Jordi Nin; Oriol Pujol (MDAI, 2020)

Copying Machine Learning Classifiers. - Irene Unceta; Jordi Nin; Oriol Pujol (IEEE Access, 2020)

Differential Replication in Machine Learning. - Irene Unceta; Jordi Nin; Oriol Pujol (CoRR, 2020)

Environmental Adaptation and Differential Replication in Machine Learning. - Irene Unceta; Jordi Nin; Oriol Pujol (Entropy, 2020)

On the Convergence of Financial Distress Propagation on Generic Networks. - Irene Unceta; Bernat Salbanya; Jordi Nin (CCIA, 2021)

The Challenges of Machine Learning and Their Economic Implications. - Pol Borrellas; Irene Unceta (Entropy, 2021)

Differential Replication for Credit Scoring in Regulated Environments. - Irene Unceta; Jordi Nin; Oriol Pujol (Entropy, 2021)

Adapting by copying. Towards a sustainable machine learning. - Irene Unceta (2021)

Resource Allocation in Home Care Services Using Reinforcement Learning. - Bernat Salbanya; Irene Unceta; Jordi Nin (CCIA, 2023)

A Scalable and Efficient Iterative Method for Copying Machine Learning Classifiers. - Nahuel Statuto; Irene Unceta; Jordi Nin; Oriol Pujol (J. Mach. Learn. Res., 2023)

Optimizing resource allocation in home care services using MaxSAT. - Irene Unceta; Bernat Salbanya; Jordi Coll; Mateu Villaret; Jordi Nin (Cogn. Syst. Res., 2024)