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ORCIDPaula Gordaliza
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2020 – today
- 2024
[c2]Ainhize Barrainkua, Paula Gordaliza, José Antonio Lozano, Novi Quadrianto:
Uncertainty Matters: Stable Conclusions under Unstable Assessment of Fairness Results. AISTATS 2024: 1198-1206- [i7]Ainhize Barrainkua, Paula Gordaliza, José Antonio Lozano, Novi Quadrianto:
Dancing in the Shadows: Harnessing Ambiguity for Fairer Classifiers. CoRR abs/2406.19066 (2024) - 2023
- [j3]Ana Cisnal
, Paula Gordaliza, Javier Pérez Turiel, Juan C. Fraile:
Interaction with a Hand Rehabilitation Exoskeleton in EMG-Driven Bilateral Therapy: Influence of Visual Biofeedback on the Users' Performance. Sensors 23(4): 2048 (2023) - [j2]Adrian Perez-Suay, Paula Gordaliza, Jean-Michel Loubes, Dino Sejdinovic, Gustau Camps-Valls:
Fair Kernel Regression through Cross-Covariance Operators. Trans. Mach. Learn. Res. 2023 (2023) - [i6]Ainhize Barrainkua, Paula Gordaliza, José Antonio Lozano, Novi Quadrianto:
Uncertainty in Fairness Assessment: Maintaining Stable Conclusions Despite Fluctuations. CoRR abs/2302.01079 (2023) - [i5]Hristo Inouzhe, Irantzu Barrio, Paula Gordaliza, María Xosé Rodríguez-Álvarez, Itxaso Bengoechea, José María Quintana:
A study on group fairness in healthcare outcomes for nursing home residents during the COVID-19 pandemic in the Basque Country. CoRR abs/2306.09711 (2023) - 2022
- [i4]Ainhize Barrainkua, Paula Gordaliza, José Antonio Lozano, Novi Quadrianto:
A Survey on Preserving Fairness Guarantees in Changing Environments. CoRR abs/2211.07530 (2022) - 2020
- [i3]Philippe C. Besse, Eustasio del Barrio, Paula Gordaliza, Jean-Michel Loubes, Laurent Risser:
A survey of bias in Machine Learning through the prism of Statistical Parity for the Adult Data Set. CoRR abs/2003.14263 (2020) - [i2]Eustasio del Barrio, Paula Gordaliza, Jean-Michel Loubes:
Review of Mathematical frameworks for Fairness in Machine Learning. CoRR abs/2005.13755 (2020)
2010 – 2019
- 2019
- [j1]Eustasio del Barrio, Paula Gordaliza, Hélène Lescornel, Jean-Michel Loubes:
Central limit theorem and bootstrap procedure for Wasserstein's variations with an application to structural relationships between distributions. J. Multivar. Anal. 169: 341-362 (2019) - [c1]Paula Gordaliza, Eustasio del Barrio, Fabrice Gamboa, Jean-Michel Loubes:
Obtaining Fairness using Optimal Transport Theory. ICML 2019: 2357-2365 - 2018
- [i1]Philippe C. Besse, Eustasio del Barrio, Paula Gordaliza, Jean-Michel Loubes:
Confidence Intervals for Testing Disparate Impact in Fair Learning. CoRR abs/1807.06362 (2018)
Coauthor Index
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