Machine Learning for Performance Prediction of Channel Bonding in Next-Generation IEEE 802.11 WLANs. - Francesc Wilhelmi; David Góez; Paola Soto; Ramon Vallés; Mohammad Alfaifi; Abdulrahman Algunayah; Jorge Martín-Pérez; Luigi Girletti; Rajasekar Mohan; K. Venkat Ramnan; Boris Bellalta (CoRR, 2021)

ATARI: A Graph Convolutional Neural Network Approach for Performance Prediction in Next-Generation WLANs. - Paola Soto; Miguel Camelo; Kevin Mets; Francesc Wilhelmi; David Góez; Luis Alejandro Fletscher; Natalia Gaviria; Peter Hellinckx; Juan Felipe Botero; Steven Latré (Sensors, 2021)

A Methodology to Design Quantized Deep Neural Networks for Automatic Modulation Recognition. - David Góez; Paola Soto; Steven Latré; Natalia Gaviria; Miguel Camelo (Algorithms, 2022)

Computational Efficiency of Deep Learning-Based Super Resolution Methods for 5G-NR Channel Estimation. - David Góez; Esra Aycan Beyazit; Nina Slamnik-Krijestorac; Johann M. Márquez-Barja; Natalia Gaviria; Steven Latré; Miguel Camelo (LATINCOM, 2024)

Resource-Efficient Spectrum-Based Traffic Classification on Constrained Devices. - David Góez; Esra Aycan Beyazit; Luis Alejandro Fletscher; Juan Felipe Botero; Natalia Gaviria; Steven Latré; Miguel Camelo (IEEE Open J. Commun. Soc., 2024)