Irene Unceta

Proceedings of the Artificial Intelligence Research and Development, 2023

2021

Adapting by copying. Towards a sustainable machine learning.

[BibT_eX]

[DOI]

PhD thesis, 2021

Differential Replication for Credit Scoring in Regulated Environments.

[BibT_eX]

[DOI]

Entropy, 2021

The Challenges of Machine Learning and Their Economic Implications.

[BibT_eX]

[DOI]

Pol Borrellas

Entropy, 2021

On the Convergence of Financial Distress Propagation on Generic Networks.

[BibT_eX]

[DOI]

Bernat Salbanya

Proceedings of the Artificial Intelligence Research and Development, 2021

2020

Environmental Adaptation and Differential Replication in Machine Learning.

[BibT_eX]

[DOI]

Entropy, 2020

Differential Replication in Machine Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Copying Machine Learning Classifiers.

[BibT_eX]

[DOI]

IEEE Access, 2020

Sampling Unknown Decision Functions to Build Classifier Copies.

[BibT_eX]

[DOI]

Proceedings of the Modeling Decisions for Artificial Intelligence, 2020

2019

Using Copies to Remove Sensitive Data: A Case Study on Fair Superhero Alignment Prediction.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition and Image Analysis - 9th Iberian Conference, 2019

From Batch to Online Learning Using Copies.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence Research and Development, 2019

2018

Towards Global Explanations for Credit Risk Scoring.

[BibT_eX]

[DOI]