Patricia A. Apellániz

According to our database, Patricia A. Apellániz authored at least 8 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Artificial Inductive Bias for Synthetic Tabular Data Generation in Data-Scarce Scenarios.

Patricia A. Apellániz, Ana Jiménez, Borja Arroyo Galende, Juan Parras, Santiago Zazo

CoRR, 2024

Synthetic Tabular Data Validation: A Divergence-Based Approach.

Patricia A. Apellániz, Ana Jiménez, Borja Arroyo Galende, Juan Parras, Santiago Zazo

IEEE Access, 2024

An Improved Tabular Data Generator with VAE-GMM Integration.

Patricia A. Apellániz, Juan Parras, Santiago Zazo

Proceedings of the 32nd European Signal Processing Conference, 2024

CR-SAVAE: A Parametric Method for Survival Analysis with Competing Risks.

Patricia A. Apellániz, Juan Parras, Santiago Zazo

Proceedings of the 32nd European Signal Processing Conference, 2024

2023

SAVAE: Leveraging the variational Bayes autoencoder for survival analysis.

Patricia A. Apellániz, Juan Parras, Santiago Zazo

CoRR, 2023

2022

Inverse Reinforcement Learning: A New Framework to Mitigate an Intelligent Backoff Attack.

Juan Parras, Alejandro Almodóvar, Patricia A. Apellániz, Santiago Zazo

IEEE Internet Things J., 2022

An online learning algorithm to play discounted repeated games in wireless networks.

Juan Parras, Patricia A. Apellániz, Santiago Zazo

Eng. Appl. Artif. Intell., 2022

2021

Deep Learning for Efficient and Optimal Motion Planning for AUVs with Disturbances.

Juan Parras, Patricia A. Apellániz, Santiago Zazo

Sensors, 2021