Publications
Apellániz, P.A., Parras, J. & Zazo, S. SAVAE: Leveraging the variational Bayes autoencoder for survival analysis. ArXiv preprint.
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.
Jiménez, A. Merino, M.J., Parras, J. & Zazo, S. Explainable drug repurposing via path-based knowledge graph completion. DrugrXiv reprint.
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.
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- Journal metrics (2022): IF 2.6, Rank Q2 (63.5 in Pediatrics) (Note: these values are not yet definitive).
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.
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.
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- Journal metrics (2022): IF 4.3, Rank Q1 (82.7 in Mathematical & Computational Biology) (Note: these values are not yet definitive).
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.
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- Journal metrics (2022): IF: 2.9, Rank Q1 (78.1 in Engineering: Marine) (Note: these values are not yet definitive).
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.
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- Journal metrics (2022): IF: 10.6, Rank Q1 (94.9 in Telecommunications, 97.8 in Computer Science: Information Systems, 95.5 in Engineering: Electrical and Electronic).
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.
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- Journal metrics (2022): IF: 8.5, Rank Q1 (91.80 in Engineering, Electrical and Electronic, 97.5 in Engineering, Civil).
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.
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- Journal metrics (2022): 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).
Parras, J., Apellániz, P.A., & Zazo, S. (2021). Deep Learning for Efficient and Optimal Motion Planning for AUVs with Disturbances. Sensors 21(15), 5011.
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- Journal metrics (2021): IF: 3.847, Rank Q2 (71.09 in Instruments and Instrumentation, 65.76 in Engineering, Electrical and Electronic).
Parras, J., Hüttenrauch, M., Zazo, S., & Neumann, G. (2021). Deep Reinforcement Learning for Attacking Wireless Sensor Networks. Sensors, 21(12), 4060.
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- Journal metrics (2021): IF: 3.847, Rank Q2 (71.09 in Instruments and Instrumentation, 65.76 in Engineering, Electrical and Electronic).
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.
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.
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.
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- Journal metrics (2020): IF: 4.091, Rank Q1 (97.55 in Mathematics: applied).
Parras, J., & Zazo, S. (2019). Repeated game analysis of a CSMA/CA network under a backoff attack. Sensors 19(24), 5393.
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- Journal metrics (2019): IF: 3.275, Rank Q1 (77.344 in Instruments and Instrumentation), Q2 (71.24 in Engineering, Electrical and Electronic).
Parras, J., & Zazo, S. (2019). Using one class SVM to counter intelligent attacks against an SPRT defense mechanism. Ad-hoc networks, 94, 101946.
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- Journal metrics (2019): IF: 3.643, Rank Q1 (75.321 in Computer science: information systems).
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.
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.
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.
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- Journal metrics (2019): IF: 3.275, Rank Q1 (77.344 in Instruments and Instrumentation), Q2 (71.24 in Engineering, Electrical and Electronic).
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.
Parras, J., & Zazo, S. (2019). Learning attack mechanisms in Wireless Sensor Networks using Markov Decision Processes. Expert Systems with Applications, 122, 376-387.
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- Journal metrics (2019): IF: 5.452, Rank Q1 (84.926 in Computer science: artificial intelligence, 88.158 in Engineering, electrical and electronic).
Parras, J., & Zazo, S. (2018). Wireless Networks under a Backoff Attack: A Game Theoretical Perspective. Sensors 2018, 18(2), 404.
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- Journal metrics (2018): IF: 3.031, Rank Q1 (76.23 in Instruments and Instrumentation).
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.
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- Journal metrics (2017): IF: 2.407, Rank Q2 (62.5 in Engineering, electrical and electronic, 60.345 in telecommunications).
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.
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.
Parras-Moral, J., Canadas-Quesada, F., Vera-Candeas, P., & Ruiz-Reyes, N. (2013). Audio restoration of solo guitar excerpts using a excitation-filter instrument model. Sound And Music Computing Conference 2013 (pp. 654-659). Logos Verlag.
