Juan Parras

39 papers B 1Misc 2Journal 28Unranked 8
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
DeCaFlow: A Deconfounding Causal Generative Model.
CoRR
Alejandro Almodóvar, Adrián Javaloy, Juan Parras, Santiago Zazo, Isabel Valera
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 J jnl
Propensity Weighted federated learning for treatment effect estimation in distributed imbalanced environments.
Comput. Biol. Medicine
Alejandro Almodóvar, 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 — conf
Negotiation Strategies to Improve Distributed Power Allocation for Self-Organizing Heterogeneous Networks.
EUSIPCO
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
2022 J jnl
Using a Deep Learning Algorithm to Improve the Results Obtained in the Recognition of Vessels Size and Trajectory Patterns in Shallow Areas Based on Magnetic Field Measurements Using Fluxgate Sensors.
IEEE Trans. Intell. Transp. Syst.
Marina Pérez, Juan Parras, Santiago Zazo, Iván A. Pérez-Álvarez, María del Mar Sanz Lluch
2021 J jnl
Deep Learning for Efficient and Optimal Motion Planning for AUVs with Disturbances.
Sensors
Juan Parras, Patricia A. Apellániz, Santiago Zazo
2021 J jnl
Deep Reinforcement Learning for Attacking Wireless Sensor Networks.
Sensors
Juan Parras, Maximilian Hüttenrauch, Santiago Zazo, Gerhard Neumann
2021 Misc conf
Robust Deep Reinforcement Learning for Underwater Navigation with Unknown Disturbances.
ICASSP
Juan Parras, Santiago Zazo
2020 Misc conf
A Graph Network Model for Distributed Learning with Limited Bandwidth Links and Privacy Constraints.
ICASSP
Juan Parras, Santiago Zazo
2020 J jnl
A distributed algorithm to obtain repeated games equilibria with discounting.
Appl. Math. Comput.
Juan Parras, Santiago Zazo
2019 — conf
Decentralized Multi-Agent Deep Reinforcement Learning in Swarms of Drones for Flood Monitoring.
EUSIPCO
David Baldazo, Juan Parras, Santiago Zazo
2019 — conf
Deep Reinforcement Learning for Autonomous Model-Free Navigation with Partial Observability.
EUSIPCO
Daniel Tapia, Juan Parras, Santiago Zazo
2019 J jnl
Learning attack mechanisms in Wireless Sensor Networks using Markov Decision Processes.
Expert Syst. Appl.
Juan Parras, Santiago Zazo
2019 J jnl
Model Free Localization with Deep Neural Architectures by Means of an Underwater WSN.
Sensors
Juan Parras, Santiago Zazo, Iván A. Pérez-Álvarez, José L. Sanz-González
2019 J jnl
Repeated Game Analysis of a CSMA/CA Network under a Backoff Attack.
Sensors
Juan Parras, Santiago Zazo
2019 — conf
Sequential Bayes Factor Testing: A New Framework for Decision Fusion.
SPAWC
Juan Parras, Santiago Zazo
2019 J jnl
Using one class SVM to counter intelligent attacks against an SPRT defense mechanism.
Ad Hoc Networks
Juan Parras, Santiago Zazo
2018 J jnl
Wireless Networks under a Backoff Attack: A Game Theoretical Perspective.
Sensors
Juan Parras, Santiago Zazo
2017 J jnl
Pursuit-evasion games: a tractable framework for antijamming games in aerial attacks.
EURASIP J. Wirel. Commun. Netw.
Juan Parras, Santiago Zazo, Jorge del Val, Javier Zazo, Sergio Valcarcel Macua
2016 — conf
A new approach for solving anti-jamming games in stochastic scenarios as pursuit-evasion games.
SSP
Juan Parras, Jorge del Val, Santiago Zazo, Javier Zazo, Sergio Valcarcel Macua
2016 — conf
Optimal attack and defence of large scale networks using mean field theory.
EUSIPCO
Jorge del Val, Santiago Zazo, Sergio Valcarcel Macua, Javier Zazo, Juan Parras