Publicacions en col·laboració amb investigadors/es de Universidad Carlos III de Madrid (55)

2024

  1. Next-Gen Green Networking: Fusing Power-over-Fiber and Solar Harvesting in 6G C-RAN scenarios

    Proceedings of the 2024 International Conference on Optical Network Design and Modeling, ONDM 2024

2023

  1. Dielectric Bull-Eye Leaky Wave Antenna with Broadside Radiation Pattern

    17th European Conference on Antennas and Propagation, EuCAP 2023

2022

  1. Double-Layer Stacked Denoising Autoencoders for Regression

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  2. vrAIn: Deep Learning Based Orchestration for Computing and Radio Resources in vRANs

    IEEE Transactions on Mobile Computing, Vol. 21, Núm. 7, pp. 2652-2670

2021

  1. Complete Stacked Denoising Auto-Encoders for Regression

    Neural Processing Letters, Vol. 53, Núm. 1, pp. 787-797

  2. Complete autoencoders for classification with missing values

    Neural Computing and Applications, Vol. 33, Núm. 6, pp. 1951-1957

  3. Ka-band planar slotted waveguide array based on groove gap waveguide technology with a glide-symmetric holey metasurface

    Scientific Reports, Vol. 11, Núm. 1

2020

  1. Comparison study of 4×4 Butler matrices in microstrip technologies for Ka-band

    AEU - International Journal of Electronics and Communications, Vol. 122

  2. Design of antenna arrays using groove gap waveguide technology implemented with glide symmetric holes

    14th European Conference on Antennas and Propagation, EuCAP 2020

  3. Designing non-linear minimax and related discriminants by disjoint tangent configurations applied to RBF networks

    Neurocomputing, Vol. 383, pp. 106-112

  4. Improving deep learning performance with missing values via deletion and compensation

    Neural Computing and Applications, Vol. 32, Núm. 17, pp. 13233-13244

  5. MNIST-NET10: A heterogeneous deep networks fusion based on the degree of certainty to reach 0.1% error rate. ensembles overview and proposal

    Information Fusion, Vol. 62, pp. 73-80

2019

  1. Demo: vrAIn Proof-of-Concept - A Deep Learning Approach for Virtualized RAN Resource Control

    MOBICOM'19: PROCEEDINGS OF THE 25TH ANNUAL INTERNATIONAL CONFERENCE ON MOBILE COMPUTING AND NETWORKING

  2. Exploiting label information to improve auto-encoding based classifiers

    Neurocomputing, Vol. 370, pp. 104-108

  3. Machine Learning-assisted Planning and Provisioning for SDN/NFV-enabled Metropolitan Networks

    2019 European Conference on Networks and Communications, EuCNC 2019

  4. Machine-Health Application Based on Machine Learning Techniques for Prediction of Valve Wear in a Manufacturing Plant

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  5. Machine-health application based on machine learning techniques for prediction of valve wear in a manufacturing plant

    From Bioinspired Systems and Biomedical Applications to Machine Learning: 8th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2019, Almería, Spain, June 3–7, 2019, Proceedings, Part II (Springer Suiza), pp. 389-398

  6. On improving CNNs performance: The case of MNIST

    Information Fusion

  7. vrAIn: A Deep Learning Approach Tailoring Computing and Radio Resources in Virtualized RANs

    MOBICOM'19: PROCEEDINGS OF THE 25TH ANNUAL INTERNATIONAL CONFERENCE ON MOBILE COMPUTING AND NETWORKING

2018

  1. Linear discriminants described by disjoint tangent configurations

    Neurocomputing, Vol. 316, pp. 345-356