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Preprints (arXiv)

Other IDs

Scopus Author ID: 57216041840

Keywords

AI Fairness, Deep Learning

Countries

Spain

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Employment (1)

Universidad Publica de Navarra: Pamplona, ES

2024-01-27 to present | Ayudante Doctor (Departamento de Estadística, Informática y Matemáticas)
Employment
Source: Self-asserted source
Iris Dominguez-Catena

Education and qualifications (3)

Universidad Publica de Navarra: Pamplona, Navarre, ES

2021 to 2024 | Doctorate in Science and Industrial Technologies
Education
Source: Self-asserted source
Iris Dominguez-Catena

Universidad Publica De Navarra: Pamplona, Navarre, ES

2018 to 2020 | Master’s degree in Computer Science
Education
Source: Self-asserted source
Iris Dominguez-Catena

Universidad Publica De Navarra: Pamplona, Navarre, ES

2010 to 2015 | Bachelor’s degree in Computer Science
Education
Source: Self-asserted source
Iris Dominguez-Catena

Works (10)

DSAP: Analyzing bias through demographic comparison of datasets

Information Fusion
2025-03 | Journal article
DOI: 10.1016/j.inffus.2024.102760
Contributors: Iris Dominguez-Catena; Daniel Paternain; Mikel Galar
Source: check_circle
Crossref

Less can be more: representational vs. stereotypical gender bias in facial expression recognition

Progress in Artificial Intelligence
2025-03 | Journal article
DOI: 10.1007/s13748-024-00345-w
Contributors: Iris Dominguez-Catena; Daniel Paternain; Aranzazu Jurio; Mikel Galar
Source: check_circle
Crossref

Metrics for Dataset Demographic Bias: A Case Study on Facial Expression Recognition

IEEE Transactions on Pattern Analysis and Machine Intelligence
2024 | Journal article
DOI: 10.1109/TPAMI.2024.3361979
Contributors: Iris Dominguez-Catena; Daniel Paternain; Mikel Galar
Source: check_circle
Crossref

Demographic bias in machine learning: measuring transference from dataset bias to model predictions

2024-10-09 | Dissertation or Thesis
DOI: 10.48035/Tesis/2454/52293
Source: check_circle
Crossref

Gender Stereotyping Impact in Facial Expression Recognition

2023 | Book chapter
DOI: 10.1007/978-3-031-23618-1_1
Contributors: Iris Dominguez-Catena; Daniel Paternain; Mikel Galar
Source: check_circle
Crossref

Assessing Demographic Bias Transfer from Dataset to Model: A Case Study in Facial Expression Recognition

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.
2022-07-24 | Conference paper
URI:

https://ceur-ws.org/Vol-3215/12.pdf

Contributors: Iris Dominguez-Catena; Daniel Paternain; Mikel Galar
Source: Self-asserted source
Iris Dominguez-Catena

Learning Channel-Wise Ordered Aggregations in Deep Neural Networks

Advances in Intelligent Systems and Computing
2021 | Book chapter
DOI: 10.1007/978-3-030-51156-2_119
Part of ISBN: 9783030511555
Part of ISBN: 9783030511562
Part of ISSN: 2194-5357
Part of ISSN: 2194-5365
Source: Self-asserted source
Iris Dominguez-Catena
grade
Preferred source (of 3)‎

A Study of OWA Operators Learned in Convolutional Neural Networks

Applied Sciences
2021-08-04 | Journal article
DOI: 10.3390/app11167195
Contributors: Iris Dominguez-Catena; Daniel Paternain; Mikel Galar
Source: check_circle
Crossref
grade
Preferred source (of 2)‎

Additional feature layers from ordered aggregations for deep neural networks

IEEE International Conference on Fuzzy Systems
2020 | Conference paper
DOI: 10.1109/FUZZ48607.2020.9177555
EID:

2-s2.0-85090501273

Part of ISBN:

10987584
Contributors: Dominguez-Catena, I.; Paternain, D.; Galar, M.
Source: Self-asserted source
Iris Dominguez-Catena via Scopus - Elsevier

Unsupervised Fuzzy Measure Learning for Classifier Ensembles From Coalitions Performance

IEEE Access
2020 | Journal article
DOI: 10.1109/access.2020.2980949
Part of ISSN: 2169-3536
Source: Self-asserted source
Iris Dominguez-Catena
grade
Preferred source (of 2)‎

Peer review (1 review for 1 publication/grant)

Review activity for Progress in artificial intelligence. (1)
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