Juan Parras

Orcid: 0000-0002-7028-3179

Affiliations:
  • Technical University of Madrid, Spain


According to our database1, Juan Parras authored at least 21 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2023
SAVAE: Leveraging the variational Bayes autoencoder for survival analysis.
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

An online learning algorithm to play discounted repeated games in wireless networks.
Eng. Appl. Artif. Intell., 2022

2021
Deep Reinforcement Learning for Attacking Wireless Sensor Networks.
Sensors, 2021

Deep Learning for Efficient and Optimal Motion Planning for AUVs with Disturbances.
Sensors, 2021

Robust Deep Reinforcement Learning for Underwater Navigation with Unknown Disturbances.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
A distributed algorithm to obtain repeated games equilibria with discounting.
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

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

Sequential Bayes Factor Testing: A New Framework for Decision Fusion.
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
Wireless Networks under a Backoff Attack: A Game Theoretical Perspective.
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

Optimal attack and defence of large scale networks using mean field theory.
Proceedings of the 24th European Signal Processing Conference, 2016


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