Publicacions (189) Publicacions de BALTASAR ENRIQUE BEFERULL LOZANO

2024

  1. An Online Multiple Kernel Parallelizable Learning Scheme

    IEEE Signal Processing Letters, Vol. 31, pp. 121-125

  2. EVOLUTION BACKCASTING OF EDGE FLOWS FROM PARTIAL OBSERVATIONS USING SIMPLICIAL VECTOR AUTOREGRESSIVE MODELS

    ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

  3. Event- Triggered Control for a Fog Computing Platform with AI-based Inference

    Proceedings of the IEEE International Conference on Industrial Technology

  4. Online Rate Allocation for AoI Minimization in an Energy Constrained D2D Communication

    2024 16th International Conference on COMmunication Systems and NETworkS, COMSNETS 2024

2023

  1. A Trainable Approach to Zero-Delay Smoothing Spline Interpolation

    IEEE Transactions on Signal Processing, Vol. 71, pp. 4317-4329

  2. Distributed Linear Network Operators Based on Successive Graph Shift Matrices

    IEEE Transactions on Signal and Information Processing over Networks, Vol. 9, pp. 315-328

  3. Enhancing Multi-Agent Reinforcement Learning: Set Function Approximation and Dynamic Policy Adaptation

    IECON Proceedings (Industrial Electronics Conference)

  4. Location-free Indoor Radio Map Estimation using Transfer learning

    IEEE Vehicular Technology Conference

  5. Neighborhood Graph Filters Based Graph Convolutional Neural Networks for Multi-Agent Deep Reinforcement Learning

    IECON Proceedings (Industrial Electronics Conference)

  6. Network-aware RF-energy harvesting for designing energy efficient IoT networks

    Internet of Things (Netherlands), Vol. 22

  7. Online Edge Flow Imputation on Networks

    IEEE Signal Processing Letters, Vol. 30, pp. 115-119

  8. Online Joint Topology Identification and Signal Estimation From Streams With Missing Data

    IEEE Transactions on Signal and Information Processing over Networks, Vol. 9, pp. 691-704

  9. Scalable and Privacy-Aware Online Learning of Nonlinear Structural Equation Models

    IEEE Open Journal of Signal Processing, Vol. 4, pp. 61-70

  10. Simplicial Vector Autoregressive Model For Streaming Edge Flows

    ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

  11. Sparse Online Learning With Kernels Using Random Features for Estimating Nonlinear Dynamic Graphs

    IEEE Transactions on Signal Processing, Vol. 71, pp. 2027-2042

2022

  1. A Deep Learning-Based Channel Aware Single Step Signal Detection in Downlink Multi-User NOMA

    IEEE Vehicular Technology Conference

  2. Cluster-based 3D-Beam Power Management in Resource-Constrained Wireless Networks

    2022 14th International Conference on COMmunication Systems and NETworkS, COMSNETS 2022

  3. Deep Transfer Learning Based Radio Map Estimation for Indoor Wireless Communications

    IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC

  4. Energy Efficient AoI Minimization in Opportunistic NOMA/OMA Broadcast Wireless Networks

    IEEE Transactions on Green Communications and Networking, Vol. 6, Núm. 2, pp. 1009-1022

  5. Erratum: Design of Asymmetric Shift Operators for Efficient Decentralized Subspace Projection (IEEE Trans. Signal Process. (2021) 69 (2056-2069) DOI: 10.1109/TSP.2021.3066787)

    IEEE Transactions on Signal Processing