Mónica Ribero
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MmWave vehicular beam selection with situational awareness using machine learning
Y Wang, A Klautau, M Ribero, ACK Soong, RW Heath
IEEE Access 7, 87479-87493, 2019
212019
Mmwave vehicular beam training with situational awareness by machine learning
Y Wang, A Klautau, M Ribero, M Narasimha, RW Heath
2018 IEEE Globecom Workshops (GC Wkshps), 1-6, 2018
102018
Comparison of different crime prediction models in Bogotá
F Barreras, C Diaz, A Riascos, M Ribero
Documentos CEDE, 2016
52016
Communication-efficient federated learning via optimal client sampling
M Ribero, H Vikalo
arXiv preprint arXiv:2007.15197, 2020
32020
Federating recommendations using differentially private prototypes
M Ribero, J Henderson, S Williamson, H Vikalo
arXiv preprint arXiv:2003.00602, 2020
32020
Dimension independence in unconstrained private erm via adaptive preconditioning
P Kairouz, M Ribero, K Rush, A Thakurta
arXiv preprint arXiv:2008.06570, 2020
22020
Deep learning propagation models over irregular terrain
M Ribero, RW Heath, H Vikalo, D Chizhik, RA Valenzuela
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
22019
Comparación de diferentes modelos para la predicción del crimen en Bogotá
F Barreras, C Díaz, ÁJ Riascos, M Ribero
Economía y seguridad en el posconflicto, 209, 2018
22018
Una comparación de diferentes modelos para la predicción del crimen en bogotá (a comparison of different crime prediction models for bogotá)
F Barreras, C Diaz, A Riascos, M Ribero
Documento CEDE, 2016
12016
Improving transparency of the Colombian Peace Treaty with NLP
F Barreras, M Ribero, F Suárez
Documentos de Trabajo Quantil, 2017
2017
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Artiklar 1–10