Publications

B Arroyo Galende, PA Apellániz, A Almodóvar, S Uribe, F Álvarez, (2026). The Geometry of Privacy: A Two-Stage Analysis of Generative Membership Inference in Federated Learning. Big Data and Cognitive Computing 10 (5), 163, 2026.

Z Warren, F Cuasquer, R Sanchez, PA Apellániz, A Almodóvar, J Parras, (2026). Real‐Time, Interpretable Diagnostics for Solid‐State Batteries via Machine Learning on In Situ Impedance Spectra. Battery Energy 5 (3), e70122, 2026.

M Matabuena, M Cámara (2026). Random-Effects Algorithm for Random Objects in Metric Spaces. arXiv preprint arXiv:2605.02693, 2026.

FF Salvador, J Parras, S Zazo (2026). Peer-Reviewed Technical Communication. Google Scholar.

L Carota, F Casadei, G Asti, D Piscia, R Biondi, C Sala, C Rollo, (2026). Optimizing AI models for haematological malignancies with federated learning: simulations and experiments. Physica Medica: European Journal of Medical Physics 142, 2026.

A Almodóvar, M Elizo, PA Apellániz, S Zazo, J Parras (2026). Kolmogorov-Arnold causal generative models. arXiv preprint arXiv:2603.20184, 2026.

DD Ghosal, C Correa, M Cámara (2026). From Physical Activity to Spirometry (as a Curve): A Combined Model for Mortality Prediction. Google Scholar.

D Piscia, PA Apellániz, S D’Amico, R Biondi, C Sala¹, NSC Merleau, (2026). Experimenting Federated AI Models for Hematological Diseases. Artificial Intelligence for Biomedical Data: First International Workshop …, 2026.

PA Apellániz, J Parras, S Zazo (2026). Enhancing survival analysis through federated learning in non-IID and scarce data scenarios. Computers in Biology and Medicine 204, 111558, 2026.

T Garriga, A Almodóvar, A Brando, G Sanz, ES de Cambra, J Parras (2026). Decision-Aware Proximal Bridge Learning for Optimal Treatment Selection. arXiv preprint arXiv:2605.16989, 2026.

FF Salvador, J Parras, S Zazo (2026). Attentive Neural Processes for Fast Trajectory Prediction in Underwater Acoustic Networks. IEEE Journal of Oceanic Engineering, 2026.

J Gutiérrez, V Gutiérrez-García, Á Mora-Sánchez, S Rodríguez-Jiménez, (2026). An Evaluation of Hybrid Annotation Workflows on High-Ambiguity Spatiotemporal Video Footage. arXiv preprint arXiv:2510.21798, 2026.

Gutiérrez, J., Gutiérrez-García, V., & Blanco-Murillo, J. L. (2026). PANC: Prior-Aware Normalized Cut via Anchor-Augmented Token Graphs. arXiv preprint arXiv:2602.06912.

Gutiérrez, J., Gutiérrez-García, V., & Blanco-Murillo, J. L. (2026). Does AI Assistance Preserve or Collapse Disagreement? A Study of Pre-Annotations in Ambiguous Video Labeling ICML 2026 Workshop.

M Cámara, F Marcos, AR Bargum, C Erkut, J Reiss, JL Blanco (2025). Neural Audio Synthesis for Sound Effects: A Scope Review. IEEE Transactions on Audio, Speech and Language Processing, 2025.

A Almodóvar, PA Apellániz, A Garrido, F Fernández-Salvador, S Zazo, (2025). Interpretable clinical classification with kolgomorov-arnold networks. arXiv preprint arXiv:2509.16750, 2025.

G Asti, PA Apellaniz, L Carota, F Casadei, D Piscia, M Delleani, I Isasa, (2025). Development, implementation, and validation of an open-source Federated Learning platform to accelerate innovation and boost personalized medicine in rare and ultra-rare …. medRxiv, 2025.08. 07.25333044, 2025.

G Asti, M Delleani, P Apellaniz, I Isasa, D Martinez Duarte, (2025). Development and validation of synthetic data generation over a federated learning computing framework to accelerate innovation and boost personalized medicine in hematological …. Blood 146 (Supplement 1), 4350-4350, 2025.

A Garrido, A Almodóvar, PA Apellániz, J Parras, S Zazo (2025). Deep Survival Analysis in Multimodal Medical Data: A Parametric and Probabilistic Approach with Competing Risks. arXiv preprint arXiv:2507.07804, 2025.

A Ceresi, BA Galende, J Guinea-Pérez, PA Apellániz, (2025). Deep Generative Models Meet Federated Learning: A Healthcare-Centered Review. Authorea Preprints, 2025.

G Asbjörnsson, M Evertsson, J Corton-Gonzalez, J Gutierrez-Navarro, (2025). Data correlation and analytics of cone crusher responses. The 14th International Comminution Symposium (Comminution’25), Cape Town, 2025.

A Almodóvar, PA Apellániz, S Zazo, J Parras (2025). CausalKANs: interpretable treatment effect estimation with Kolmogorov-Arnold networks. arXiv preprint arXiv:2509.22467, 2025.

Loza-Morcillo, S., & Blanco-Murillo, J. L. (2025). Advanced beam steering and topological optimization in large-scale antenna arrays through hexagonal subarray implementation over Goldberg polyhedral configurations. Accepted at RADARCONF25.

Loza-Morcillo, S., & Blanco-Murillo, J. L. (2025). Enabling scale economies for large-scale antenna arrays with physically manufacturable hexagonal subarrays in Goldberg Polyhedra configurations. Accepted at RADARCONF25.

Almodóvar, A., Javaloy, A., Parras, J., Zazo, S., & Valera, I. (2025). DeCaFlow: A Deconfounding Causal Generative Model. Advances in Neural Information Processing Systems, 38, SPOTLIGHT.

Fernández Salvador, L. F., Vilallonga Tejela, B., Almodóvar, A., Parras, J. & Zazo, S. (2025). Attentive Neural Processes for Few-Shot Learning Anomaly-Based Vessel Localization Using Magnetic Sensor Data. Journal of Marine Science and Engineering.

Apellániz, P. A., Arroyo Galende, B., Jiménez, A., Parras, J. & Zazo, S. (2025). Advancing Cancer Research with Synthetic Data Generation in Low-Data Scenarios. IEEE Journal of Biomedical and Health Informatics.

Apellániz, P. A., Jiménez, A., Arroyo Galende, B., Parras, J. & Zazo, S. (2025). Artificial inductive bias for synthetic tabular data generation in data-scarce scenarios. Neurocomputing.

Arroyo Galende, B., Apellániz, P. A., Parras, J., Zazo, S. & Uribe, S. (2025). Membership Inference Attacks and Differential Privacy: A Study within the context of Generative Models. IEEE Open Journal of the Computer Society.

Apellániz, P. A., Parras, J., & Zazo, S. (2025). Improving Synthetic Data Generation Through Federated Learning in Scarce and Heterogeneous Data Scenarios. Big Data and Cognitive Computing.

Loza-Morcillo, S., & Blanco-Murillo, J. L. (2025). Side Effects of Triangular-Grid Geometry and Orientation in Hierarchical Regular Subarray-Based Large-Scale Digital Antenna Arrays. Electronics, 14(17), 3505.

Cámara, M., Gutiérrez, J., Daza, M. P., & Blanco, J. L. (2025). Open-Source System for Multilingual Translation and Cloned Speech Synthesis. EuroNoise Málaga 2025.

Cámara, M., Blanco, J. L., & Reiss, J. D. (2025). Parameter optimisation for a physical model of the vocal system. EURASIP Journal on Audio, Speech, and Music Processing, 2025(1), 27.

PA Apellániz, A Jiménez, BA Galende, J Parras, S Zazo (2024). Synthetic tabular data validation: A divergence-based approach. Ieee Access 12, 103895-103907, 2024.

F Casadei, L Carota, G Asti, S D’Amico, D Piscia, S Zazo, PA Apellániz, (2024). Survival Model Optimization via Federated Learning: A Study Combining Simulations and Experiments. 2024 IEEE International Conference on Big Data (BigData), 7658-7667, 2024.

A Almodóvar, J Parras, S Zazo (2024). Propensity Weighted federated learning for treatment effect estimation in distributed imbalanced environments. Computers in Biology and Medicine 178, 108779, 2024.

S D’Amico, L Dall’Olio, C Rollo, P Alonso, I Prada-Luengo, D Dall’Olio, (2024). MOSAIC: an artificial intelligence–based framework for multimodal analysis, classification, and personalized prognostic assessment in rare cancers. JCO Clinical Cancer Informatics 8, e2400008, 2024.

PA Apellániz, J Parras, S Zazo (2024). Leveraging the variational Bayes autoencoder for survival analysis. Scientific Reports 14 (1), 24567, 2024.

D Piscia, PA Apellaniz, B Arroyo, S Barrio, F Moreno, J Parras, S Uribe, (2024). GenoMed4All, a federated learning platform for clinical and omics data. EUROPEAN JOURNAL OF HUMAN GENETICS 32, 1640-1640, 2024.

CA Ortiz-Toro, C Cerrada-Collado, D Moreno-Salinas, D Chaos-García, (2024). Exploring UUV Development with NauSim: An Open-Source Simulation Platform. 2024 Global Conference on Wireless and Optical Technologies (GCWOT), 1-7, 2024.

M Lahoz Navarro, JS Jehle, PA Apellániz, J Parras, S Zazo, M Gerdts (2024). Deep Learning as a New Framework for Passive Vehicle Safety Design Using Finite Elements Models Data. Applied Sciences 14 (20), 9296, 2024.

AC Gimbert, S Reidel, PA de Apellániz, F Alvarez, BA Galende, (2024). Data Driven Research through the European RADeep Registry and the Use of Artificial Intelligence Towards Personalized Medicine in Sickle Cell Disease. Blood 144, 1138, 2024.

PA Apellániz, J Parras, S Zazo (2024). CR-SAVAE: A Parametric Method for Survival Analysis with Competing Risks. 2024 32nd European Signal Processing Conference (EUSIPCO), 1526-1530, 2024.

PA Apellaniz, J Parras, S Zazo (2024). An Improved Tabular Data Generator with VAE-GMM Integration. 2024 32nd European Signal Processing Conference (EUSIPCO), 2024.

G Asti, S D’Amico, L Carota, D Piscia, F Casadei, NSC Merleau, (2024). An Artificial Intelligence-Based Federated Learning Platform to Boost Precision Medicine in Rare Hematological Diseases: An Initiative By GenoMed4all and Synthema Consortia. Blood 144, 4989, 2024.

JM Perero-Codosero, FM Espinoza-Cuadros, LA Hernández-Gómez (2024). Adversarial Learning to Remove Sources of Variability in Speech Applications. Proc. IberSPEECH 2024, 270-274, 2024.

Fernández-Castañón, R., Espinoza-Cuadros, F. M., Perero-Codosero, J. M., Sancho-Lozano, E., & Hernández-Gómez, L. A. (2024, June). Can Large Sound Event Detection Models Be Accurately Adapted to Specific Acoustic Scenarios?. In International Symposium on Distributed Computing and Artificial Intelligence (pp. 36-45). Cham: Springer Nature Switzerland.

Gutiérrez-Navarro, J., Mora-Sánchez, Á., Rodríguez-Jiménez, S., & Blanco-Murillo, J. L. (2024, June). AI-Boosted Video Annotation: Exploring Pre-Labeling with Cross-Modalities. In International Symposium on Distributed Computing and Artificial Intelligence (pp. 5-15). Cham: Springer Nature Switzerland.

Cámara, M., Marcos, F., & Blanco, J. L. (2024). Decoding vocal articulations from acoustic latent representations. AES Europe Madrid.

Sánchez, M., Fernández, L., Arias, J., Cámara, M., Comini, G., Gabrys, A., … & Hernández, L. A. (2024). Del Visual al Auditivo: Sonorización de Escenas Guiada por Imagen. arXiv preprint arXiv:2402.01385.

Cámara, M., & Blanco, J. L. (2024). Biologically Informed Neural Speech Synthesis. In Proc. IberSPEECH 2024 (pp. 261-265).

J Gutiérrez Navarro (2023). Study for the development of a video annotation support system using an agnostic image model. Telecomunicacion, 2023.

O Velandia, M Moreno, R Zavala, A Morales, A Torres, L Hernández (2023). Optimization of the electrical conductivity and thermal coefficient of temperature (TCR) on hydrogenated amorphous silicon-germanium films doped with nitrogen (a-SiGe: H, N …. 2023 IEEE Latin American Electron Devices Conference (LAEDC), 1-5, 2023.

I González, J Luzuriaga, A Valdivieso, M Candil, J Frutos, J López, (2023). Low-intensity continuous ultrasound to inhibit cancer cell migration. Frontiers in Cell and Developmental Biology 10, 842965, 2023.

M Moreno, A Torres-Sánchez, P Rosales, A Morales, A Torres, J Flores, (2023). Effect of the RF power of PECVD on the crystalline fractions of microcrystalline silicon (μc-Si: H) films and their structural, optical, and electronic properties. Electronic Materials 4 (3), 110-123, 2023.

Coronel-Gaviro, J., Yagüe-Jiménez, V., & Blanco-Murillo, J. L. (2023). Radiofrequency Absorbance as a Novel Concentration Indicator in Sucrose Aqueous Solutions. Ingeniería e Investigación, 43(1), 1.

Cámara, M., & Blanco, J. L. (2023). FOLEY-VAE: Generación de efectos de audio para cine con inteligencia artificial. Congreso Español de Acústica (TECNIACÚSTICA).

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).

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.

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).

Südholt, D., Cámara, M., Xu, Z., & Reiss, J. D. (2023). Vocal Tract Area Estimation by Gradient Descent. Digital Audio Effects Conference (DAFx).

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.

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.

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.

S D’Amico, L Dall’Olio, C Rollo, P Alonso, I Prada-Luengo, D Dall’Olio, (2022). Multi-modal analysis and federated learning approach for classification and personalized prognostic assessment in myeloid neoplasms. Blood, The Journal of the American Society of Hematology 140 (Supplement 1 …, 2022.

Perero-Codosero, J. M., Espinoza-Cuadros, F. M., & Hernández-Gómez, L. A. (2022). X-vector anonymization using autoencoders and adversarial training for preserving speech privacy. Computer Speech & Language, 74, 101351.

Perero-Codosero, J. M., Espinoza-Cuadros, F. M., & Hernández-Gómez, L. A. (2022). A comparison of hybrid and end-to-end ASR systems for the IberSpeech-RTVE 2020 speech-to-text transcription challenge. Applied Sciences, 12(2), 903.

Blanco-Murillo, J. L., Yagüe-Jiménez, V., Coronel-Gaviro, J., & Quirós, F. C. (2022). A model-informed, single-input method for amplifiers assessment from pruned Volterra kernels collapsed projection. Measurement, 193, 110856.

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, 9(24), 24790-24799.

Cámara M., & Blanco, J. L. (2022). Acercando los autocodificadores variacionales al gran público. Revista de acústica, 53, 3-11.

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, 23(4), 3472-3481.

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.

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.

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.

González, I., Luzuriaga, J., Valdivieso, A., Frutos, J., López, J., Hernández, L., … & Earl, J. (2021). Low-intensity ultrasound inhibits the long-term migration of cancer cells.

Cardoso, L., Gómez, L., Alonso, P., Pena, S., Herrera, M., Valencia, P., … & Diezhandino, P. (2021). PO-1285 Postoperative high dose rate brachytherapy in endometrial cancer: three versus six fractions. Radiotherapy and Oncology, 161, S1059.

Bafundo, K. W., Gomez, L., Lumpkins, B., Mathis, G. F., McNaughton, J. L., & Duerr, I. (2021). Concurrent use of saponins and live coccidiosis vaccines: the influence of a quillaja and yucca combination on anticoccidial effects and performance results of coccidia-vaccinated broilers. Poultry Science, 100(3), 100905.

Perero-Codosero, J. M., Espinoza-Cuadros, F. M., & Gómez, L. A. H. (2021, March). Sigma-UPM ASR Systems for the IberSpeech-RTVE 2020 Speech-to-Text Transcription Challenge. In IberSPEECH.

Perry, C. A., Yates, C. J., Flury, M., & Hernandez, L. (2021). Effects of short duration active and passive recovery on blood lactate accumulation during high intensity wind sprints in college aged students. Sport & Health-International Journal of Sport & Health, 8.

Coronel-Gaviro, J., Yagüe-Jiménez, V., & Blanco-Murillo, J. L. (2021). Nonintrusive honey fraud detection and quantification based on differential radiofrequency absorbance analysis. Journal of Food Engineering, 295, 110448.

Parras, J., Apellániz, P.A., & Zazo, S. (2021). Deep Learning for Efficient and Optimal Motion Planning for AUVs with Disturbances. Sensors, 21(15), 5011.

Parras, J., Hüttenrauch, M., Zazo, S., & Neumann, G. (2021). Deep Reinforcement Learning for Attacking Wireless Sensor Networks. Sensors, 21(12), 4060.

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.

I Zabaleta, M Cámara, C Díaz, T Canham, N García, M Bertalmío (2020). Retinal noise emulation: a novel artistic tool for cinema that also improves compression efficiency. IEEE Access 8, 67263-67276, 2020.

M Cámara, M Miravete, E Navarro (2020). An epidemic model for economical impact predicting and spatiotemporal spreading of COVID-19. medRxiv, 2020.09. 02.20186551, 2020.

Espinoza-Cuadros, F. M., Perero-Codosero, J. M., Antón-Martín, J., & Hernández-Gómez, L. A. (2020). Speaker de-identification system using autoencoders and adversarial training. arXiv preprint arXiv:2011.04696.

Deep, S. T. S. U. Audio-Visual Emotion Recognition System for Variable Length Spatio-Temporal Samples Using Deep Transfer-Learning. In Business Information Systems (p. 434).

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., & Zazo, S. (2020). A distributed algorithm to obtain repeated games equilibria with discounting. Applied Mathematics and Computation, 367, 124785.

M Cámara, C Díaz, J Casal, J Ruano, N García (2019). Perceptually equivalent resolution in handheld devices for streaming bandwidth saving. IEEE Signal Processing Letters 26 (6), 878-882, 2019.

Perero-Codosero, J. M., Espinoza-Cuadros, F., Antón-Martín, J., Barbero-Alvarez, M. A., & Hernández-Gómez, L. A. (2019). Modeling obstructive sleep apnea voices using deep neural network embeddings and domain-adversarial training. IEEE Journal of Selected Topics in Signal Processing, 14(2), 240-250.

Gómez, L., & Gonzáles, L. (2019). Blanqueo de capitales: técnicas de investigación en la contabilidad financiera panameña. Centros: Revista Científica Universitaria, 8(2), 65-73.

Hernández Sánchez, S., Fernández Pozo, R., & Hernández Gómez, L. A. (2019, May). Deep neural networks for driver identification using accelerometer signals from smartphones. In International Conference on Business Information Systems (pp. 206-220). Cham: Springer International Publishing.

Hernandez, L., Manning, J., & Zhang, S. (2019). Voluntary control of breathing affects center of pressure complexity during static standing in healthy older adults. Gait & Posture, 68, 488-493.

Parras, J., & Zazo, S. (2019). Repeated game analysis of a CSMA/CA network under a backoff attack. Sensors, 19(24), 5393.

Parras, J., & Zazo, S. (2019). Using one class SVM to counter intelligent attacks against an SPRT defense mechanism. Ad-Hoc Networks, 94, 101946.

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.

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) (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.

Perero-Codosero, J. M., Antón-Martín, J., Merino, D. T., Gonzalo, E. L., & Gómez, L. A. H. (2018, November). Exploring Open-Source Deep Learning ASR for Speech-to-Text TV program transcription. In IberSPEECH (pp. 262-266).

Hernandez Sanchez, S., Fernandez Pozo, R., & Hernandez Gomez, L. A. (2018). Estimating vehicle movement direction from smartphone accelerometers using deep neural networks. Sensors, 18(8), 2624.

Montero, E. D. F., Pozo, R. F., Gomez, L. A. H., Jimenez, R. P., & Munoz, V. M. G. (2018). U.S. Patent Application No. 15/622,439.

Hernández, L., López, A. B., & Morales, F. (2018). Los significados materiales del territorio: Una propuesta de análisis socioterritorial. Problemas urbanos y del territorio, 9.

Manning, J. P., Hernandez, L., Zhang, S., Wright, P., Benner, D., & Li, L. (2018). Difference in Attentional Involvement and Respiratory Complexity During Static Balance Between Older and Young Adults.

Blanco-Murillo, J. L., & Yagüe-Jiménez, V. (2018). A method for informed selection of memory-length and nonlinearity-order parameters in Volterra–Wiener systems from exponential sweep excitations. Multidimensional Systems and Signal Processing, 29(4), 1861-1893.

Parras, J., & Zazo, S. (2018). Wireless Networks under a Backoff Attack: A Game Theoretical Perspective. Sensors, 18(2), 404.

Bibert, S., Bratschi, M. W., Aboagye, S. Y., Collinet, E., Scherr, N., Yeboah-Manu, D., … & Bochud, P. Y. (2017). Susceptibility to Mycobacterium ulcerans disease (Buruli ulcer) is associated with IFNG and iNOS gene polymorphisms. Frontiers in Microbiology, 8, 1903.

Cardillo, E., di Prátula, P., Terny, S., Hernandez, L., Sola, M., & Frechero, M. A. (2017, September). Fisicoquímica de conductores iónicos: síntesis y caracterización de nuevos materiales amigables con el medio ambiente para la generación de energía limpia. IV Congreso Internacional Científico y Tecnológico - CONCYT 2017.

Blanco-Murillo, J. L., Lluveras, D., Yagüe-Jiménez, V., Anaya, J. J., Casajús-Quirós, F. J., Izquierdo, M. A. G., … & Herrera, A. (2017). Combined US and UWB-RF imaging of concrete structures for identification and location of embedded materials. Construction and Building Materials, 152, 693-701.

Blanco-Murillo, J. L., Yagüe-Jiménez, V., & Casajús-Quirós, F. J. (2017). Assessment of nonlinearities for precision DACs. IEEE Transactions on Instrumentation and Measurement, 66(11), 2852-2857.

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.

Espinoza-Cuadros, F., Fernández-Pozo, R., Toledano, D. T., Alcázar-Ramírez, J. D., López-Gonzalo, E., & Hernández-Gómez, L. A. (2016). Reviewing the connection between speech and obstructive sleep apnea. Biomedical Engineering Online, 15(1), 20.

Pozo, R. F., Gomez, L. A. H., Meco, D. L., Vercher, J. B., & Muñoz, V. M. G. (2016). U.S. Patent Application No. 14/802,471.

Benavides, A. M., Murillo, J. L. B., Pozo, R. F., Cuadros, F. E., Toledano, D. T., Alcázar-Ramírez, J. D., & Gómez, L. A. H. (2016). Formant frequencies and bandwidths in relation to clinical variables in an obstructive sleep apnea population. Journal of Voice, 30(1), 21-29.

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. 24th European Signal Processing Conference (EUSIPCO) (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. IEEE Statistical Signal Processing Workshop (SSP) (pp. 1-5).

V Yagüe-Jiménez, JL Blanco-Murillo, FJ Casajús-Quirós (2015). Compensation of biased excitation effects for MLS-based nonlinear systems׳ identification. Signal Processing 115, 176-194, 2015.

AM Benavides, RF Pozo, DT Toledano, JLB Murillo, EL Gonzalo, (2014). Analysis of voice features related to obstructive sleep apnoea and their application in diagnosis support. Computer Speech & Language 28 (2), 434-452, 2014.

JL Blanco, J Schoentgen, C Manfredi (2013). Vocal tract settings in speakers with obstructive sleep apnea syndrome. Proc. 8th International Workshop Models and Analysis of Vocal Emissions for …, 2013.

JL Blanco, LA Hernández, R Fernández, D Ramos (2013). Improving automatic detection of obstructive sleep apnea through nonlinear analysis of sustained speech. Cognitive Computation 5 (4), 458-472, 2013.

L Melián-Gutiérrez, S Zazo, JL Blanco-Murillo, I Pérez-Álvarez, (2013). HF spectrum activity prediction model based on HMM for cognitive radio applications. Physical Communication 9, 199-211, 2013.

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