Publications

The Geometry of Privacy: A Two-Stage Analysis of Generative Membership Inference in Federated Learning

Arroyo Galende, B., Apellániz, P. A., Almodóvar, A., Uribe, S., Álvarez, F., & Parras, J.

Big Data and Cognitive Computing

IF 4.4 · IF 4.4, Rank Q1 (82.7 in Computer Science: Theory and methods)

Real-Time, Interpretable Diagnostics for Solid-State Batteries via Machine Learning on In Situ Impedance Spectra

Warren, Z., Cuasquer, F., Sánchez, R., Apellániz, P. A., Almodóvar, A., Parras, J., & Rosero-Navarro, C.

Battery Energy

IF 9.9 · IF 9.9, Rank Q1 (89.8 in Electrochemistry, 87.1 in Energy & Fuels, 87.3 in Materials Science: Multidisciplinary)

Attentive Neural Processes for Fast Trajectory Prediction in Underwater Acoustic Networks

Fernández Salvador, F., Parras, J., & Zazo, S.

IEEE Journal of Oceanic Engineering

IF 5.3 · IF 5.3, Rank Q1 (87.8 in Engineering: Civil, 81.1 in Engineering: Electrical & Electronic, 86.1 in Engineering: Ocean, 94.6 in Oceanography)

Advancing Cancer Research with Synthetic Data Generation in Low-Data Scenarios

Apellániz, P. A., Arroyo Galende, B., Jiménez, A., Parras, J., & Zazo, S.

IEEE Journal of Biomedical and Health Informatics

IF 6.8 · IF 6.8, Rank Q1 (92.1 in Computer Science: Information Systems, 87.1 in Computer Science: Interdisciplinary Applications, 96.3 in Mathematical & Computational Biology, 88.5 in Medical Informatics)

Enhancing Survival Analysis through Federated Learning in Non-IID and Scarce Data Scenarios

Apellániz, P. A., Parras, J., & Zazo, S.

Computers in Biology and Medicine

IF 6.3 · IF 6.3, Rank Q1 (93.9 in Biology, 85.6 in Computer Science: Interdisciplinary Applications, 82.7 in Engineering: Biomedical, 94.8 in Mathematical & Computational Biology)

Optimizing AI Models for Haematological Malignancies with Federated Learning: Simulations and Experiments

Carota, L., Casadei, F., Asti, G., Piscia, D., Biondi, R., Sala, C., et al.

Physica Medica: European Journal of Medical Physics · 13º Congresso Nazionale AIFM

DeCaFlow: A Deconfounding Causal Generative Model

Almodóvar, A., Javaloy, A., Parras, J., Zazo, S., & Valera, I.

Neural Information Processing Systems (NeurIPS 2025)

Experimenting Federated AI Models for Hematological Diseases

Carota, L., Casadei, F., Asti, G., Piscia, D., Apellániz, P. A., D'Amico, S., et al.

International Workshop on Artificial Intelligence for Biomedical Data (AIBio), Springer Nature Switzerland

Development and Validation of Synthetic Data Generation over a Federated Learning Computing Framework to Accelerate Innovation and Boost Personalized Medicine in Hematological Diseases

Asti, G., Delleani, M., Apellániz, P. A., Isasa, I., Duarte, D. M., Galende, B. A., et al.

Blood, The Journal of the American Society of Hematology · 67th ASH Annual Meeting

Attentive Neural Processes for Few-Shot Learning Anomaly-Based Vessel Localization Using Magnetic Sensor Data

Fernández Salvador, L. F., Vilallonga Tejela, B., Almodóvar, A., Parras, J., & Zazo, S.

Journal of Marine Science and Engineering

IF 2.8 · IF 2.8, Rank Q2 (74.0 in Engineering: Marine, 63.9 in Engineering: Ocean, 73.1 in Oceanography)

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

Apellániz, P. A., Jiménez, A., Arroyo Galende, B., Parras, J., & Zazo, S.

Neurocomputing

IF 6.5 · IF 6.5, Rank Q1 (82.1 in Computer Science, Artificial Intelligence)

Membership Inference Attacks and Differential Privacy: A Study within the Context of Generative Models

Arroyo Galende, B., Apellániz, P. A., Parras, J., Zazo, S., & Uribe, S.

IEEE Open Journal of the Computer Society

IF 8.2 · IF 8.2, Rank Q1 (92.9 in Computer Science: Theory and Methods, 91.1 in Computer Science: Interdisciplinary Applications, 92.2 in Engineering, Electrical & Electronic)

Improving Synthetic Data Generation through Federated Learning in Scarce and Heterogeneous Data Scenarios

Apellániz, P. A., Parras, J., & Zazo, S.

Big Data and Cognitive Computing

IF 4.4 · IF 4.4, Rank Q1 (82.7 in Computer Science: Theory and Methods)

Survival Model Optimization via Federated Learning: A Study Combining Simulations and Experiments

Casadei, F., Carota, L., Asti, G., D'Amico, S., Piscia, D., Zazo, S., et al.

2024 IEEE International Conference on Big Data (BigData)

GenoMed4All, a Federated Learning Platform for Clinical and Omics Data

Piscia, D., Apellániz, P. A., Arroyo, B., Barrio, S., Moreno, F., Parras, J., et al.

European Journal of Human Genetics · European Human Genetics Conference

An Artificial Intelligence-Based Federated Learning Platform to Boost Precision Medicine in Rare Hematological Diseases: An Initiative by GenoMed4All and Synthema Consortia

Asti, G., D'Amico, S., Carota, L., Piscia, D., Casadei, F., Merleau, N. S. C., et al.

Blood, The Journal of the American Society of Hematology · 66th ASH Annual Meeting

Data Driven Research through the European RADeep Registry and the Use of Artificial Intelligence towards Personalized Medicine in Sickle Cell Disease

Gimbert, A. C., Reidel, S., Apellániz, P. A., Alvarez, F., Galende, B. A., Beneitez, D., et al.

Blood, The Journal of the American Society of Hematology · 66th ASH Annual Meeting

Leveraging the Variational Bayes Autoencoder for Survival Analysis

Apellániz, P. A., Parras, J., & Zazo, S.

Scientific Reports

IF 3.9 · IF 3.9, Rank Q1 (81.9 in Multidisciplinary Sciences)

Deep Learning as a New Framework for Passive Vehicle Safety Design Using Finite Elements Models Data

Lahoz Navarro, M., Jehle, J. S., Apellániz, P. A., Parras, J., Zazo, S., & Gerdts, M.

Applied Sciences

IF 2.5 · IF 2.5, Rank Q2 (71.7 in Engineering, Multidisciplinary)

Exploring UUV Development with NauSim: An Open-Source Simulation Platform

Ortiz-Toro, C. A., Cerrada-Collado, C., Moreno-Salinas, D., Chaos-García, D., García-Suárez, K. L., Otero-Roth, P., et al.

2024 Global Conference on Wireless and Optical Technologies (GCWOT), IEEE

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

Apellániz, P. A., Parras, J., & Zazo, S.

2024 32nd European Signal Processing Conference (EUSIPCO), IEEE

An Improved Tabular Data Generator with VAE-GMM Integration

Apellániz, P. A., Parras, J., & Zazo, S.

2024 32nd European Signal Processing Conference (EUSIPCO), IEEE

NauSim: An Open Source Simulator for Underwater Drone Control, Development and Deployment

Ortiz-Toro, C. A., Cerrada-Collado, C., Moreno-Salinas, D., Chaos-García, D., García-Suárez, K. L., Otero, P., Vidal-Pérez, J. M., Luque-Nieto, M. A., Vázquez, A. I., Fraile-Ardanuy, J. J., Negro-Valdecantos, V., Jimenez-Yguacel, E., Aranda-Almansa, J., Zazo-Bello, S., Zufiria, P. J., Magdalena, L., Parras, J., & Gutiérrez, A. L.

XLV Jornadas de Automática

Synthetic Tabular Data Validation: A Divergence-Based Approach

Apellániz, P. A., Jiménez, A., Arroyo Galende, B., Parras, J., & Zazo, S.

IEEE Access

IF 3.6 · IF 3.6, Rank Q2 (64.1 in Computer Science: Information Systems, 65.2 in Engineering, Electrical & Electronic, 58.8 in Telecommunications)

Explainable Drug Repurposing via Path Based Knowledge Graph Completion

Jiménez, A., Merino, M. J., Parras, J., & Zazo, S.

Scientific Reports

IF 3.9 · IF 3.9, Rank Q1 (81.9 in Multidisciplinary Sciences)

Propensity Weighted Federated Learning for Treatment Effect Estimation in Distributed Imbalanced Environments

Almodóvar, A., Parras, J., & Zazo, S.

Computers in Biology and Medicine

IF 6.3 · IF 6.3, Rank Q1 (93.9 in Biology, 85.4 in Computer Science: Interdisciplinary Applications, 82.7 in Engineering: Biomedical, 94.8 in Mathematical & Computational Biology)

MOSAIC: An Artificial Intelligence–Based Framework for Multimodal Analysis, Classification, and Personalized Prognostic Assessment in Rare Cancers

D'Amico, S., et al.

JCO Clinical Cancer Informatics

IF 2.8 · IF 2.8, Rank Q2 (51.1 in Oncology)

Federated Learning for Causal Inference Using Deep Generative Disentangled Models

Almodóvar, A., Parras, J., & Zazo, S.

1st Workshop on Deep Generative Models for Health, NeurIPS 2023

The Relapsed Acute Lymphoblastic Leukemia Network (ReALLNet): A Multidisciplinary Project from the Spanish Society of Pediatric Hematology and Oncology (SEHOP)

Velasco, P., et al.

Frontiers in Pediatrics

IF 2.1 · IF 2.1, Rank Q2 (68.5 in Pediatrics)

Negotiation Strategies to Improve Distributed Power Allocation for Self-Organizing Heterogeneous Networks

Parras, J., & Zazo, S.

2023 31st European Signal Processing Conference (EUSIPCO), IEEE

DDQN-Based Optimal Targeted Therapy with Reversible Inhibitors to Combat the Warburg Effect

Sanz-Nogales, J. M., Parras, J., & Zazo, S.

Mathematical Biosciences

IF 1.9 · IF 1.9, Rank Q2 (52.8 in Biology)

An Efficient Underwater Navigation Method Using MPC with Unknown Kinematics and Non-Linear Disturbances

Barreno, P., Parras, J., & Zazo, S.

Journal of Marine Science and Engineering

IF 2.7 · IF 2.7, Rank Q1 (78.0 in Engineering: Marine)

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

Parras, J., Almodóvar, A., Apellániz, P. A., & Zazo, S.

IEEE Internet of Things Journal

IF 10.6 · IF 10.6, Rank Q1 (94.9 in Telecommunications, 97.8 in Computer Science: Information Systems, 95.5 in Engineering: Electrical and Electronic)

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

Pérez, M., Parras, J., Zazo, S., Álvarez, I. A. P., & Lluch, M. d. M. S.

IEEE Transactions on Intelligent Transportation Systems

IF 8.5 · IF 8.5, Rank Q1 (91.80 in Engineering, Electrical and Electronic, 97.5 in Engineering, Civil)

An Online Learning Algorithm to Play Discounted Repeated Games in Wireless Networks

Parras, J., Apellániz, P. A., & Zazo, S.

Engineering Applications of Artificial Intelligence

IF 8.0 · IF 8.0, Rank Q1 (90.0 in Automation & Control Systems, 95.0 in Engineering: Multidisciplinary, 83.1 in Computer Science: Artificial Intelligence, 89.3 in Engineering: Electrical and Electronic)

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

Parras, J., Apellániz, P. A., & Zazo, S.

Sensors

IF 3.847 · IF 3.847, Rank Q2 (71.09 in Instruments and Instrumentation, 65.76 in Engineering, Electrical and Electronic)

Deep Reinforcement Learning for Attacking Wireless Sensor Networks

Parras, J., Hüttenrauch, M., Zazo, S., & Neumann, G.

Sensors

IF 3.847 · IF 3.847, Rank Q2 (71.09 in Instruments and Instrumentation, 65.76 in Engineering, Electrical and Electronic)

Robust Deep Reinforcement Learning for Underwater Navigation with Unknown Disturbances

Parras, J., & Zazo, S.

2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

The Threat of Intelligent Attackers Using Deep Learning: The Backoff Attack Case

Parras, J., & Zazo, S.

Deep Learning Strategies for Security Enhancement in Wireless Sensor Networks (pp. 110–133). IGI Global

A Graph Network Model for Distributed Learning with Limited Bandwidth Links and Privacy Constraints

Parras, J., & Zazo, S.

2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

A Distributed Algorithm to Obtain Repeated Games Equilibria with Discounting

Parras, J., & Zazo, S.

Applied Mathematics and Computation

IF 4.091 · IF 4.091, Rank Q1 (97.55 in Mathematics: Applied)

Repeated Game Analysis of a CSMA/CA Network under a Backoff Attack

Parras, J., & Zazo, S.

Sensors

IF 3.275 · IF 3.275, Rank Q1 (77.344 in Instruments and Instrumentation), Q2 (71.24 in Engineering, Electrical and Electronic)

Using One Class SVM to Counter Intelligent Attacks against an SPRT Defense Mechanism

Parras, J., & Zazo, S.

Ad Hoc Networks

IF 3.643 · IF 3.643, Rank Q1 (75.321 in Computer Science: Information Systems)

Deep Reinforcement Learning for Autonomous Model-Free Navigation with Partial Observability

Tapia, D., Parras, J., & Zazo, S.

2019 27th European Signal Processing Conference (EUSIPCO), IEEE

Decentralized Multi-Agent Deep Reinforcement Learning in Swarms of Drones for Flood Monitoring

Baldazo, D., Parras, J., & Zazo, S.

2019 27th European Signal Processing Conference (EUSIPCO), IEEE

Model Free Localization with Deep Neural Architectures by Means of an Underwater WSN

Parras, J., Zazo, S., Pérez-Álvarez, I. A., & Sanz González, J. L.

Sensors

IF 3.275 · IF 3.275, Rank Q1 (77.344 in Instruments and Instrumentation), Q2 (71.24 in Engineering, Electrical and Electronic)

Sequential Bayes Factor Testing: A New Framework for Decision Fusion

Parras, J., & Zazo, S.

20th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), IEEE

Learning Attack Mechanisms in Wireless Sensor Networks Using Markov Decision Processes

Parras, J., & Zazo, S.

Expert Systems with Applications

IF 5.452 · IF 5.452, Rank Q1 (84.926 in Computer Science: Artificial Intelligence, 88.158 in Engineering, Electrical and Electronic)

Wireless Networks under a Backoff Attack: A Game Theoretical Perspective

Parras, J., & Zazo, S.

Sensors

IF 3.031 · IF 3.031, Rank Q1 (76.23 in Instruments and Instrumentation)

Pursuit-Evasion Games: A Tractable Framework for Antijamming Games in Aerial Attacks

Parras, J., Zazo, S., Del Val, J., Zazo, J., & Macua, S. V.

EURASIP Journal on Wireless Communications and Networking

IF 2.407 · IF 2.407, Rank Q2 (62.5 in Engineering, Electrical and Electronic, 60.345 in Telecommunications)

Optimal Attack and Defence of Large Scale Networks Using Mean Field Theory

del Val, J., Zazo, S., Macua, S. V., Zazo, J., & Parras, J.

24th European Signal Processing Conference (EUSIPCO), IEEE

A New Approach for Solving Anti-Jamming Games in Stochastic Scenarios as Pursuit-Evasion Games

Parras, J., del Val, J., Zazo, S., Zazo, J., & Macua, S. V.

IEEE Statistical Signal Processing Workshop (SSP) 2016

Audio Restoration of Solo Guitar Excerpts Using an Excitation-Filter Instrument Model

Parras-Moral, J., Canadas-Quesada, F., Vera-Candeas, P., & Ruiz-Reyes, N.

Sound and Music Computing Conference 2013 (pp. 654–659). Logos Verlag