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David Góez
ORCID
Publication Activity (10 Years)
Years Active: 2021-2022
Publications (10 Years): 3
Top Topics
Convolutional Neural Network
Machine Learning
Prediction Error
Physical Layer
Top Venues
CoRR
Sensors
Algorithms
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Publications
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David Góez
,
Paola Soto
,
Steven Latré
,
Natalia Gaviria
,
Miguel Camelo
A Methodology to Design Quantized Deep Neural Networks for Automatic Modulation Recognition.
Algorithms
15 (12) (2022)
Paola Soto
,
Miguel Camelo
,
Kevin Mets
,
Francesc Wilhelmi
,
David Góez
,
Luis Alejandro Fletscher
,
Natalia Gaviria
,
Peter Hellinckx
,
Juan Felipe Botero
,
Steven Latré
ATARI: A Graph Convolutional Neural Network Approach for Performance Prediction in Next-Generation WLANs.
Sensors
21 (13) (2021)
Francesc Wilhelmi
,
David Góez
,
Paola Soto
,
Ramon Vallés
,
Mohammad Alfaifi
,
Abdulrahman Algunayah
,
Jorge Martín-Pérez
,
Luigi Girletti
,
Rajasekar Mohan
,
K. Venkat Ramnan
,
Boris Bellalta
Machine Learning for Performance Prediction of Channel Bonding in Next-Generation IEEE 802.11 WLANs.
CoRR
(2021)