Juan Parras
Orcid: 0000-0002-7028-3179Affiliations:
- Technical University of Madrid, Spain
According to our database1,
Juan Parras authored at least 38 papers
between 2016 and 2026.
Collaborative distances:
Collaborative distances:
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Bibliography
2026
CoRR, May, 2026
IEEE J. Biomed. Health Informatics, February, 2026
Enhancing survival analysis through federated learning in non-IID and scarce data scenarios.
Comput. Biol. Medicine, 2026
2025
CausalKANs: interpretable treatment effect estimation with Kolmogorov-Arnold networks.
CoRR, September, 2025
CoRR, September, 2025
Deep Survival Analysis in Multimodal Medical Data: A Parametric and Probabilistic Approach with Competing Risks.
CoRR, July, 2025
Membership Inference Attacks and Differential Privacy: A Study Within the Context of Generative Models.
IEEE Open J. Comput. Soc., 2025
Artificial inductive bias for synthetic tabular data generation in data-scarce scenarios.
Neurocomputing, 2025
Improving Synthetic Data Generation Through Federated Learning in Scarce and Heterogeneous Data Scenarios.
Big Data Cogn. Comput., 2025
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025
Proceedings of the Artificial Intelligence for Biomedical Data, 2025
2024
Propensity Weighted federated learning for treatment effect estimation in distributed imbalanced environments.
Comput. Biol. Medicine, 2024
Proceedings of the 32nd European Signal Processing Conference, 2024
Proceedings of the 32nd European Signal Processing Conference, 2024
Survival Model Optimization via Federated Learning: A Study Combining Simulations and Experiments.
Proceedings of the IEEE International Conference on Big Data, 2024
2023
CoRR, 2023
Negotiation Strategies to Improve Distributed Power Allocation for Self-Organizing Heterogeneous Networks.
Proceedings of the 31st European Signal Processing Conference, 2023
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.
IEEE Trans. Intell. Transp. Syst., 2022
Inverse Reinforcement Learning: A New Framework to Mitigate an Intelligent Backoff Attack.
IEEE Internet Things J., 2022
Eng. Appl. Artif. Intell., 2022
2021
Sensors, 2021
Robust Deep Reinforcement Learning for Underwater Navigation with Unknown Disturbances.
Proceedings of the IEEE International Conference on Acoustics, 2021
2020
Appl. Math. Comput., 2020
A Graph Network Model for Distributed Learning with Limited Bandwidth Links and Privacy Constraints.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
2019
Model Free Localization with Deep Neural Architectures by Means of an Underwater WSN.
Sensors, 2019
Learning attack mechanisms in Wireless Sensor Networks using Markov Decision Processes.
Expert Syst. Appl., 2019
Using one class SVM to counter intelligent attacks against an SPRT defense mechanism.
Ad Hoc Networks, 2019
Proceedings of the 20th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2019
Deep Reinforcement Learning for Autonomous Model-Free Navigation with Partial Observability.
Proceedings of the 27th European Signal Processing Conference, 2019
Decentralized Multi-Agent Deep Reinforcement Learning in Swarms of Drones for Flood Monitoring.
Proceedings of the 27th European Signal Processing Conference, 2019
2018
Sensors, 2018
2017
Pursuit-evasion games: a tractable framework for antijamming games in aerial attacks.
EURASIP J. Wirel. Commun. Netw., 2017
2016
A new approach for solving anti-jamming games in stochastic scenarios as pursuit-evasion games.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2016
Proceedings of the 24th European Signal Processing Conference, 2016