Outputs for SIGNAL THEORY AND COMMUNICATIONS Department (Year 2025)
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Articles
- 'A priori' shapley data value estimation
- A hybrid neural network with multistage feature fusion for detecting heart failure and murmurs from time-frequency representations of phonocardiograms
- A priori verification method for curl-conforming basis functions in simplices
- Alzheimer's Disease Detection from Speech Using Shapley Additive Explanations for Feature Selection and Enhanced Interpretability
- An approximate model for the computation of in-orbit collision probabilities using importance sampling
- An h-Adaptive Collocation Method for Physic-Informed Neural Networks
- Array of Low-Profile Horn Antennas in Groove Gap Waveguide Technology Implemented With Glide-Symmetrical Holes
- Array of Stacked Groove Gap Waveguide Leaky Wave Antennas for the Synthesis of a Broad-Beam Radiation Pattern
- Atmospheric drag uncertainty quantification for orbit determination and propagation via Stochastic Consider Parameters
- Authenticity at Risk: Key Factors in the Generation and Detection of Audio Deepfakes
- Calibration and uncertainty quantification for deep learning-based drought detection
- Channel Estimation and Equalization of Zero-Padded Waveforms in Doubly-Dispersive Channels
- Combined model-based and data-driven approach for the control of a soft robotic neck
- Compact Bistatic Iterative Passive Radar Based on Terrestrial Digital Video Broadcasting Signals
- DeepExtremeCubes: Earth system spatio-temporal data for assessing compound heatwave and drought impacts
- Dielectric split-pin unit cell for gradient index lenses implementation by using 3D-printing
- Emotion forecasting: A transformer-based approach
- Explainability can foster trust in artificial intelligence in geoscience
- Explainable Earth Surface Forecasting Under Extreme Events
- Exploring Bandwidth Capabilities of Solar Cells for VLC Applications
- Generative networks for spatio-temporal gap filling of Sentinel-2 reflectances
- Hybrid Dual-Band Antenna for 5G High-Speed Train Communication and Positioning Systems
- Learning for Visible Light Communications: Potential Scenarios and Applications
- Master-slave coupling scheme for synchronization and parameter estimation in the generalized Kuramoto-Sivashinsky equation
- Nudging state-space models for Bayesian filtering under misspecified dynamics
- ORIS Allocation to Minimize the Outage Probability in a Multi-User VLC Scenario
- On the Second-Order Asymptotics of the Hoeffding Test and Other Divergence Tests
- Predictive model of ibuprofen treatment failure in very preterm infants with patent ductus arteriosus using machine learning techniques
- RF Challenge: The Data-Driven Radio Frequency Signal Separation Challenge
- Reflections on the Potential and Risks of AI for Scientific Article Writing after the AI Endorsement by Some Scientific Publishers: Focusing on Scopus AI
- Resource allocation exploiting reflective surfaces to minimize the outage probability in VLC
- Topic models for decision-support systems, Part II: Expert-in-the-loop hierarchical topic models
- Topic models for decision-support systems. Part I: Training, representation and exploitation of topic models
- Unified Design: Sub-6 GHz Conformal Patch Antennas Integrated With Millimeter-Wave Reflector for Fixed Wireless Access Terminals
- Unlearning in Distributed Budget Support Vector Machine
- Uplink Non-Orthogonal Multiple Access (NOMA) Decoding based on Successive Parzen Windows Interference Cancellation
Conference Contributions
Projects
- 6G-LEADER: Learning-Driven and Evolved Radio for 6G Communication Systems
- A Probabilistic Approach to Updating Catalogues and Determining Orbits
- ADACOP - Adaptive and Accelerated Optimization for Machine Learning
- ADAPTIVE OPTIMIZATION FOR AI
- ATESCA - Radiometer based on nonlinear microwave to optical conversion in a resonator
- Apoyo al desarrollo del nodo ELLIS de la Comunidad de Madrid (European Laboratory for Learning and Intelligent Systems) mediante la implantación de una Unidad ELLIS en la Comunidad de Madrid (ELLIS Unit Madrid)
- Ayuda adicional del investigador David Martínez Rubio dentro del programa Juan de la Cierva 2023
- Ayuda adicional del investigador Pablo Bonilla Escribano dentro del programa Juan de la Cierva 2023
- CARTESIAN - Representaciones Discretas Calibradas y Modelado de Series Temporales con Redes Auto-supervisadas Robustas
- Consultoría en modelado bayesiano avanzado para el cribado automático de enfermedades
- DISCO6G-CM - Desarrollo e Integración de Sensores y COmunicaciones para servicios avanzados en 6G
- DiffEM-HPC - Resolvedores diferenciables en entornos HPC para problemas inversos en electromagnetismo
- Financiación adicional del investigador Borja Genovés Guzmán dentro del programa RYC 2023
- Foundation Behavioral Models for Computational Psychiatry (BehavMind) . IND2024/TIC-34728. Director, Pablo Martínez Olmos.
- HOLIFI6G - Enfoque de diseño holístico LiFi para comunicaciones 6G
- IDEA-CM - Inteligencia artificial para la industria 4.0: generación de datos, modelado avanzado, optimización e interpretabilidad
- ISAC-NEWTON: Intelligent Sensing and Communication as Training Network for Perceptive Mobile Networks in 6G
- Indicadores de Audio en la Monitorización de la Salud Mental
- NISA - Modelado generativo para inferencia y predicción en modelos físicos complejos
- QUGAP - Superando la Brecha Cuántica: Teoría de la Comunicación para Sistemas Cuánticos 1
- RAFTEC-CM - RAdar for Fusion TEChnologies
- ROBUST Atmosphere Error Modelling for Sustainable Operations - T711-803SD [RAMSES]
- Red temática COMONSENS para el avance en el procesado de señal, teoría de la información y el aprendizaje automático
- Research and Implementation of a Digital Model for Radar Warning Receiver (RIDWaRe)