Optimal attack and defence of large scale networks using mean field theory. - Jorge del Val; Santiago Zazo; Sergio Valcarcel Macua; Javier Zazo; Juan Parras (EUSIPCO, 2016)

A new approach for solving anti-jamming games in stochastic scenarios as pursuit-evasion games. - Juan Parras; Jorge del Val; Santiago Zazo; Javier Zazo; Sergio Valcarcel Macua (SSP, 2016)

Pursuit-evasion games: a tractable framework for antijamming games in aerial attacks. - Juan Parras; Santiago Zazo; Jorge del Val; Javier Zazo; Sergio Valcarcel Macua (EURASIP J. Wirel. Commun. Netw., 2017)

Wireless Networks under a Backoff Attack: A Game Theoretical Perspective. - Juan Parras; Santiago Zazo (Sensors, 2018)

Decentralized Multi-Agent Deep Reinforcement Learning in Swarms of Drones for Flood Monitoring. - David Baldazo; Juan Parras; Santiago Zazo (EUSIPCO, 2019)

Deep Reinforcement Learning for Autonomous Model-Free Navigation with Partial Observability. - Daniel Tapia; Juan Parras; Santiago Zazo (EUSIPCO, 2019)

Sequential Bayes Factor Testing: A New Framework for Decision Fusion. - Juan Parras; Santiago Zazo (SPAWC, 2019)

Using one class SVM to counter intelligent attacks against an SPRT defense mechanism. - Juan Parras; Santiago Zazo (Ad Hoc Networks, 2019)

Learning attack mechanisms in Wireless Sensor Networks using Markov Decision Processes. - Juan Parras; Santiago Zazo (Expert Syst. Appl., 2019)

Repeated Game Analysis of a CSMA/CA Network under a Backoff Attack. - Juan Parras; Santiago Zazo (Sensors, 2019)

Model Free Localization with Deep Neural Architectures by Means of an Underwater WSN. - Juan Parras; Santiago Zazo; Iván A. Pérez-Álvarez; José L. Sanz-González (Sensors, 2019)

A Graph Network Model for Distributed Learning with Limited Bandwidth Links and Privacy Constraints. - Juan Parras; Santiago Zazo (ICASSP, 2020)

A distributed algorithm to obtain repeated games equilibria with discounting. - Juan Parras; Santiago Zazo (Appl. Math. Comput., 2020)

Robust Deep Reinforcement Learning for Underwater Navigation with Unknown Disturbances. - Juan Parras; Santiago Zazo (ICASSP, 2021)

Deep Learning for Efficient and Optimal Motion Planning for AUVs with Disturbances. - Juan Parras; Patricia A. Apellániz; Santiago Zazo (Sensors, 2021)

Deep Reinforcement Learning for Attacking Wireless Sensor Networks. - Juan Parras; Maximilian Hüttenrauch; Santiago Zazo; Gerhard Neumann (Sensors, 2021)

An online learning algorithm to play discounted repeated games in wireless networks. - Juan Parras; Patricia A. Apellániz; Santiago Zazo (Eng. Appl. Artif. Intell., 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)

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. - Marina Pérez; Juan Parras; Santiago Zazo; Iván A. Pérez-Álvarez; María del Mar Sanz Lluch (IEEE Trans. Intell. Transp. Syst., 2022)

Negotiation Strategies to Improve Distributed Power Allocation for Self-Organizing Heterogeneous Networks. - Juan Parras; Santiago Zazo (EUSIPCO, 2023)

SAVAE: Leveraging the variational Bayes autoencoder for survival analysis. - Patricia A. Apellániz; Juan Parras; Santiago Zazo (CoRR, 2023)

Survival Model Optimization via Federated Learning: A Study Combining Simulations and Experiments. - 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; et al. (IEEE Big Data, 2024)

CR-SAVAE: A Parametric Method for Survival Analysis with Competing Risks. - Patricia A. Apellániz; Juan Parras; Santiago Zazo (EUSIPCO, 2024)

An Improved Tabular Data Generator with VAE-GMM Integration. - Patricia A. Apellániz; Juan Parras; Santiago Zazo (EUSIPCO, 2024)

Synthetic Tabular Data Validation: A Divergence-Based Approach. - Patricia A. Apellániz; Ana Jiménez; Borja Arroyo Galende; Juan Parras; Santiago Zazo (IEEE Access, 2024)

Propensity Weighted federated learning for treatment effect estimation in distributed imbalanced environments. - Alejandro Almodóvar; Juan Parras; Santiago Zazo (Comput. Biol. Medicine, 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 (Neurocomputing, 2025)

Membership Inference Attacks and Differential Privacy: A Study Within the Context of Generative Models. - Borja Arroyo Galende; Patricia A. Apellániz; Juan Parras; Santiago Zazo; Silvia Uribe (IEEE Open J. Comput. Soc., 2025)

DeCaFlow: A Deconfounding Causal Generative Model. - Alejandro Almodóvar; Adrián Javaloy; Juan Parras; Santiago Zazo; Isabel Valera (CoRR, 2025)

Deep Survival Analysis in Multimodal Medical Data: A Parametric and Probabilistic Approach with Competing Risks. - Alba Garrido; Alejandro Almodóvar; Patricia A. Apellániz; Juan Parras; Santiago Zazo (CoRR, 2025)