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ORCIDPatricia A. Apellániz
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2020 – today
- 2024
[j4]Patricia A. Apellániz
, Ana Jiménez, Borja Arroyo Galende, Juan Parras, Santiago Zazo:
Synthetic Tabular Data Validation: A Divergence-Based Approach. IEEE Access 12: 103895-103907 (2024)- [i4]Patricia A. Apellániz, Juan Parras, Santiago Zazo:
An improved tabular data generator with VAE-GMM integration. CoRR abs/2404.08434 (2024) - [i3]Patricia A. Apellániz, Ana Jiménez, Borja Arroyo Galende, Juan Parras, Santiago Zazo:
Synthetic Tabular Data Validation: A Divergence-Based Approach. CoRR abs/2405.07822 (2024) - [i2]Patricia A. Apellániz, Ana Jiménez, Borja Arroyo Galende, Juan Parras, Santiago Zazo:
Artificial Inductive Bias for Synthetic Tabular Data Generation in Data-Scarce Scenarios. CoRR abs/2407.03080 (2024) - 2023
- [i1]Patricia A. Apellániz, Juan Parras, Santiago Zazo:
SAVAE: Leveraging the variational Bayes autoencoder for survival analysis. CoRR abs/2312.14651 (2023) - 2022
- [j3]Juan Parras, Patricia A. Apellániz, Santiago Zazo:
An online learning algorithm to play discounted repeated games in wireless networks. Eng. Appl. Artif. Intell. 107: 104520 (2022) - [j2]Juan Parras, Alejandro Almodóvar, Patricia A. Apellániz, Santiago Zazo:
Inverse Reinforcement Learning: A New Framework to Mitigate an Intelligent Backoff Attack. IEEE Internet Things J. 9(24): 24790-24799 (2022) - 2021
- [j1]Juan Parras, Patricia A. Apellániz, Santiago Zazo:
Deep Learning for Efficient and Optimal Motion Planning for AUVs with Disturbances. Sensors 21(15): 5011 (2021)
Coauthor Index
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