Publications
2023
Cámara, M., & Blanco, J. L. (2023). FOLEY-VAE: Generaci'on de efectos de audio para cine con inteligencia artificial. Congreso Español de Acústica (TECNIACÚSTICA). Scholar
Marcos, F., Tamaki, R., Cámara, M., Yagüe, V., & Blanco, J. L. (2023). IA Para el Mantenimiento Predictivo en Canteras: Modelado. Congreso Español de Acústica (TECNIACÚSTICA). Scholar
Almodóvar, A., Parras, J., & Zazo, S. (2023, October). Federated learning for causal inference using deep generative disentangled models. In 1st Workshop on Deep Generative Models for Health, NeurIPS 2023. Scholar Code
Cámara, M., Xu, Z., Zong, Y., Blanco, J. L., & Reiss, J. D. (2023). Optimization Techniques for a Physical Model of Human Vocalisation. Digital Audio Effects Conference (DAFx). Scholar
Südholt, D., Cámara, M., Xu, Z., & Reiss, J. D. (2023). Vocal Tract Area Estimation by Gradient Descent. Digital Audio Effects Conference (DAFx). Scholar
Velasco, Pablo, et al (2023). The Relapsed Acute Lymphoblastic Leukemia Network (ReALLNet): A multidisciplinary project from the Spanish Society of Pediatric Hematology and Oncology (SEHOP). Frontiers in Pediatrics. DOI Scholar
Parras, J., & Zazo, S. (2023, September). Negotiation strategies to improve distributed power allocation for self-organizing heterogeneous networks. In 2023 31st European Signal Processing Conference (EUSIPCO) (pp. 1743-1747). IEEE. DOI Scholar Code
Sanz-Nogales, J.M, Parras, J., & Zazo, S. (2023). DDQN-based optimal targeted therapy with reversible inhibitors to combat the Warburg effect. Mathematical biosciences, 363, 109044. DOI Scholar Code
Barreno, P., Parras, J., & Zazo, S. (2023). An efficient underwater navigation method using MPC with unknown kinematics and non-linear disturbances. Journal of Marine Science and Engineering. 2023, 11, 710. DOI Scholar Code
2022
Parras, J., Almodóvar, A., Apellániz, P.A., & Zazo, S. (2022). Inverse Reinforcement Learning: a New Framework to Mitigate an Intelligent Backoff Attack. IEEE Internet of Things Journal, vol 9, no. 24, pp.24790-24799, December 2022. DOI Scholar Code
Largo, M. J. C., & Murillo, J. L. B. (2022). Acercando los autocodificadores variacionales al gran público. Revista de acústica, 53, 3-11. Scholar
Pérez, M., Parras, J., Zazo, S., Álvarez, I. A. P. & Lluch, M. d. M. S. (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 Transactions on Intelligent Transportation Systems, vol. 23, no. 4, pp. 3472-3481, April 2022. DOI Scholar
Cámara, M., & Blanco, J. L. (2022). Expanding the Frontiers of Web Audio With Autoencoders and JavaScript. Journal of the Audio Engineering Society, 70(11), 979-989. Scholar
Cámara, M., & Blanco, J. L. (2022). Phase-Aware Transformations in Variational Autoencoders for Audio Effects. Journal of the Audio Engineering Society, 70(9), 731-741. Scholar
Parras, J., Apellániz, P.A., & Zazo, S. (2022). An online learning algorithm to play discounted repeated games in wireless networks. Engineering Applications of Artificial Intelligence, 107, 104520. DOI Scholar Code
2021
Parras, J., Apellániz, P.A., & Zazo, S. (2021). Deep Learning for Efficient and Optimal Motion Planning for AUVs with Disturbances. Sensors 21(15), 5011. DOI Scholar Code
Parras, J., Hüttenrauch, M., Zazo, S., & Neumann, G. (2021). Deep Reinforcement Learning for Attacking Wireless Sensor Networks. Sensors, 21(12), 4060. DOI Scholar Code
Parras, J., & Zazo, S. (2021, June). Robust Deep Reinforcement Learning for underwater navigation with unknown disturbances. In 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 3440-3444). IEEE. DOI Scholar Code
2020
Parras, J., & Zazo, S. (2020). The Threat of Intelligent Attackers Using Deep Learning: The Backoff Attack Case. In Deep Learning Strategies for Security Enhancement in Wireless Sensor Networks (pp. 110-133). IGI Global. DOI Scholar
Parras, J., & Zazo, S. (2020, May). A Graph Network Model for Distributed Learning with Limited Bandwidth Links and Privacy Constraints. In 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 3907-3911). IEEE.
Parras, J., and Zazo, S. (2020). A distributed algorithm to obtain repeated games equilibria with discounting. Applied Mathematics and Computation, 367 (2020): 124785. DOI Scholar Code
2019
Parras, J., & Zazo, S. (2019). Repeated game analysis of a CSMA/CA network under a backoff attack. Sensors 19(24), 5393. DOI Scholar Code
Parras, J., & Zazo, S. (2019). Using one class SVM to counter intelligent attacks against an SPRT defense mechanism. Ad-hoc networks, 94, 101946. DOI Scholar Code
Tapia, D., Parras, J., & Zazo, S. (2019, September). Deep Reinforcement Learning for autonomous model-free navigation with partial observability. In 2019 27th European Signal Processing Conference (EUSIPCO) (pp. 1-5). IEEE. DOI Scholar Code
Baldazo, D., Parras, J., & Zazo, S. (2019, September). Decentralized multi-agent deep reinforcement learning in swarms of drones for flood monitoring. In 2019 27th European Signal Processing Conference (EUSIPCO) (pp. 1-5). IEEE. DOI Scholar Code
Parras, J., Zazo, S, Pérez-Álvarez, I. A., & Sanz González, J. L. (2019). Model free localization with Deep Neural Architectures by means of an underwater WSN. Sensors, 19(16), 3530. DOI Scholar Code
Parras, J., & Zazo, S. (2019, July). Sequential Bayes factor testing: a new framework for decision fusion. In 20th International workshop on Signal processing advances in wireless communications (SPAWC), 2019 , (pp. 1-5). IEEE. DOI Scholar Code
Parras, J., & Zazo, S. (2019). Learning attack mechanisms in Wireless Sensor Networks using Markov Decision Processes. Expert Systems with Applications, 122, 376-387. DOI Scholar Code
2018
- Parras, J., & Zazo, S. (2018). Wireless Networks under a Backoff Attack: A Game Theoretical Perspective. Sensors 2018, 18(2), 404. DOI Scholar Code
2017
- Parras, J., Zazo, S., Del Val, J., Zazo, J., & Macua, S. V. (2017). Pursuit-evasion games: a tractable framework for antijamming games in aerial attacks. EURASIP Journal on Wireless Communications and Networking, 2017(1), 69. DOI Scholar Code
2016
del Val, J., Zazo, S., Macua, S. V., Zazo, J., & Parras, J. (2016, August). Optimal attack and defence of large scale networks using mean field theory. In 24th European Signal Processing Conference (EUSIPCO), 2016 (pp. 973-977). IEEE. DOI Scholar
Parras, J., del Val, J., Zazo, S., Zazo, J., & Macua, S. V. (2016, June). A new approach for solving anti-jamming games in stochastic scenarios as pursuit-evasion games. In Statistical Signal Processing Workshop (SSP), 2016 IEEE (pp. 1-5). IEEE. DOI Scholar Code