Patricia A. Apellániz

20 papers B 1Journal 17Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Advancing Cancer Research With Synthetic Data Generation in Low-Data Scenarios.
IEEE J. Biomed. Health Informatics
Patricia A. Apellániz, Borja Arroyo Galende, Ana Jiménez, Juan Parras, Santiago Zazo
2026 J jnl
Enhancing survival analysis through federated learning in non-IID and scarce data scenarios.
Comput. Biol. Medicine
Patricia A. Apellániz, Juan Parras, Santiago Zazo
2026 J jnl
Kolmogorov-Arnold causal generative models.
CoRR
Alejandro Almodóvar, Mar Elizo, Patricia A. Apellániz, Santiago Zazo, Juan Parras
2025 J jnl
Artificial inductive bias for synthetic tabular data generation in data-scarce scenarios.
Neurocomputing
Patricia A. Apellániz, Ana Jiménez, Borja Arroyo Galende, Juan Parras, Santiago Zazo
2025 J jnl
CausalKANs: interpretable treatment effect estimation with Kolmogorov-Arnold networks.
CoRR
Alejandro Almodóvar, Patricia A. Apellániz, Santiago Zazo, Juan Parras
2025 J jnl
Deep Survival Analysis in Multimodal Medical Data: A Parametric and Probabilistic Approach with Competing Risks.
CoRR
Alba Garrido, Alejandro Almodóvar, Patricia A. Apellániz, Juan Parras, Santiago Zazo
2025 J jnl
Improving Synthetic Data Generation Through Federated Learning in Scarce and Heterogeneous Data Scenarios.
Big Data Cogn. Comput.
Patricia A. Apellániz, Juan Parras, Santiago Zazo
2025 J jnl
Interpretable Clinical Classification with Kolgomorov-Arnold Networks.
CoRR
Alejandro Almodóvar, Patricia A. Apellániz, Alba Garrido, Fernando Fernández-Salvador, Santiago Zazo, Juan Parras
2025 J jnl
Membership Inference Attacks and Differential Privacy: A Study Within the Context of Generative Models.
IEEE Open J. Comput. Soc.
Borja Arroyo Galende, Patricia A. Apellániz, Juan Parras, Santiago Zazo, Silvia Uribe
2024 — conf
An Improved Tabular Data Generator with VAE-GMM Integration.
EUSIPCO
Patricia A. Apellániz, Juan Parras, Santiago Zazo
2024 J jnl
An improved tabular data generator with VAE-GMM integration.
CoRR
Patricia A. Apellániz, Juan Parras, Santiago Zazo
2024 J jnl
Artificial Inductive Bias for Synthetic Tabular Data Generation in Data-Scarce Scenarios.
CoRR
Patricia A. Apellániz, Ana Jiménez, Borja Arroyo Galende, Juan Parras, Santiago Zazo
2024 — conf
CR-SAVAE: A Parametric Method for Survival Analysis with Competing Risks.
EUSIPCO
Patricia A. Apellániz, Juan Parras, Santiago Zazo
2024 B conf
Survival Model Optimization via Federated Learning: A Study Combining Simulations and Experiments.
IEEE Big Data
Francesco Casadei, Luciana Carota, Gianluca Asti, Saverio D'Amico, Davide Piscia, Santiago Zazo, Patricia A. Apellániz, Juan Parras, Claudia Sala, Cesare Rollo, Nono S. C. Merleau, Piero Fariselli, Matteo Giovanni Della Porta, Tiziana Sanavia, Federico Álvarez García, Gastone C. Castellani, Enrico Giampieri
2024 J jnl
Synthetic Tabular Data Validation: A Divergence-Based Approach.
IEEE Access
Patricia A. Apellániz, Ana Jiménez, Borja Arroyo Galende, Juan Parras, Santiago Zazo
2024 J jnl
Synthetic Tabular Data Validation: A Divergence-Based Approach.
CoRR
Patricia A. Apellániz, Ana Jiménez, Borja Arroyo Galende, Juan Parras, Santiago Zazo
2023 J jnl
SAVAE: Leveraging the variational Bayes autoencoder for survival analysis.
CoRR
Patricia A. Apellániz, Juan Parras, Santiago Zazo
2022 J jnl
An online learning algorithm to play discounted repeated games in wireless networks.
Eng. Appl. Artif. Intell.
Juan Parras, Patricia A. Apellániz, Santiago Zazo
2022 J jnl
Inverse Reinforcement Learning: A New Framework to Mitigate an Intelligent Backoff Attack.
IEEE Internet Things J.
Juan Parras, Alejandro Almodóvar, Patricia A. Apellániz, Santiago Zazo
2021 J jnl
Deep Learning for Efficient and Optimal Motion Planning for AUVs with Disturbances.
Sensors
Juan Parras, Patricia A. Apellániz, Santiago Zazo