Recent submissions

Using indirect reporting surveys to monitor the COVID-19 pandemic

Fernández Anta, Antonio (2022-06)

conference object

Building Byzantine-tolerant Systems with Distributed Ledgers and Distributed Sets

Fernández Anta, Antonio (2022-04)

conference object

Using Survey Data to Estimate the Impact of the Omicron Variant on Vaccine Efficacy against COVID-19 Infection

Rufino, Jesús; Baquero, Carlos; Frey, Davide; Glorioso, Christin; Ortega, Antonio; Reščič, Nina; Roberts, Julian C; Lillo, Rosa Elvira; Menezes, Raquel; Champati, Jaya Prakash; Fernández Anta, Antonio (2022-08-15)

conference object

Setchain: Improving Blockchain Scalability with Byzantine Distributed Sets and Barriers

Capretto, Margarita; Ceresa, Martín; Fernández Anta, Antonio; Russo, Antonio; Sánchez, César (2022-08-25)

conference object

Situational Collective Perception: Adaptive and Efficient Collective Perception in Future Vehicular Systems

Khalil, Ahmad; Meuser, Tobias; Alkhalili, Yassin; Fernández Anta, Antonio; Staecker, Lukas; Steinmetz, Ralf (2022-04-27)

conference object

Toward Native Explainable and Robust AI in 6G Networks: Current State, Challenges and Road Ahead

Fiandrino, Claudio; Attanasio, Giulia; Fiore, Marco; Widmer, Joerg (Elsevier, 2022-06)

journal article

Leakage of Sensitive Information to Third-Party Voice Applications

Bispham, Mary; Zard, Clara; Sattar, Suliman; Ferrer-Aran, Xavier; Suarez-Tangil, Guillermo; Such, Jose (2022-07)

conference object

Edge Gaming: a Greening Perspective

Spinelli, Francesco; Bazco-Nogueras, Antonio; Mancuso, Vincenzo (2022-08-01)

journal article

Automated Identification of Network Anomalies and Their Causes with Interpretable Machine Learning: the CIAN Methodology and TTrees Implementation

Moulay, Mohammed; García Leiva, Rafael; Rojo, Pablo; Díez Muñoz, Fernando; Mancuso, Vincenzo; Fernández Anta, Antonio (Elsevier, 2022-07-01)

journal article

Vector Coded Caching Greatly Enhances Massive MIMO

Zhao, Hui; Bazco-Nogueras, Antonio; Elia, Petros (2022-07-04)

conference object

Coded Caching in Land Mobile Satellite Systems

Zhao, Hui; Bazco-Nogueras, Antonio; Elia, Petros (2022-05)

conference object

Robust multivariate control chart based on shrinkage for individual observations

Cabana, Elisa; Lillo, Rosa Elvira (2022-06)

conference object

Cleaning Matters! Preprocessing-enhanced Anomaly Detection and Classification in Mobile Networks

Ramirez, Juan Marcos; Díez Muñoz, Fernando; Rojo, Pablo; Mancuso, Vincenzo; Fernández Anta, Antonio (2022-06)

conference object

Augmenting mmWave Localization Accuracy Through Sub-6 GHz on Off-the-Shelf Devices

Blanco, Alejandro; Jiménez Mateo, Pablo; Gringoli, Francesco; Widmer, Joerg (2022-07-01)

conference object

Algorithms for robust indoor localization and sensing using off-the-shelf devices

Blanco, Alejandro (2022-06-13)

doctoral thesis

Machine learning algorithms for provisioning cloud/edge applications

Ayimba, Constantine (2022-05-19)

doctoral thesis

On how VoIP attacks foster the malicious call ecosystem

Carrillo-Modejar, Javier; Martinez, Jose Luis; Suarez-Tangil, Guillermo (2022)

journal article

SPARCS: A Sparse Recovery Approach for Integrated Communication and Human Sensing in mmWave Systems

Pegoraro, Jacopo; Lacruz, Jesús Omar; Rossi, Michele; Widmer, Joerg (2022-05-04)

conference object

MIMORPH: A General-Purpose Experimentation Platform for sub-6 GHz and mmWave Frequency Bands

Lacruz, Jesús Omar; Ruiz, Rafael; Widmer, Joerg (ACM SIGMOBILE, 2022-03-01)

magazine

Classification of Underwater Fish Images and Videos via Very Small Convolutional Neural Networks

Paraschiv, Marius; Padrino, Ricardo; Casari, Paolo; Bigal, Eyal; Scheinin, Aviad; Tchernov, Dan; Fernández Anta, Antonio (MDPI, 2022-05-27)

journal article

IMDEA Networks: Recent submissions

Using indirect reporting surveys to monitor the COVID-19 pandemic ﻿

Building Byzantine-tolerant Systems with Distributed Ledgers and Distributed Sets ﻿

Using Survey Data to Estimate the Impact of the Omicron Variant on Vaccine Efficacy against COVID-19 Infection ﻿

Setchain: Improving Blockchain Scalability with Byzantine Distributed Sets and Barriers ﻿

Situational Collective Perception: Adaptive and Efficient Collective Perception in Future Vehicular Systems ﻿

Toward Native Explainable and Robust AI in 6G Networks: Current State, Challenges and Road Ahead ﻿

Leakage of Sensitive Information to Third-Party Voice Applications ﻿

Edge Gaming: a Greening Perspective ﻿

Automated Identification of Network Anomalies and Their Causes with Interpretable Machine Learning: the CIAN Methodology and TTrees Implementation ﻿

Vector Coded Caching Greatly Enhances Massive MIMO ﻿

Coded Caching in Land Mobile Satellite Systems ﻿

Robust multivariate control chart based on shrinkage for individual observations ﻿

Cleaning Matters! Preprocessing-enhanced Anomaly Detection and Classification in Mobile Networks ﻿

Augmenting mmWave Localization Accuracy Through Sub-6 GHz on Off-the-Shelf Devices ﻿

Algorithms for robust indoor localization and sensing using off-the-shelf devices ﻿

Machine learning algorithms for provisioning cloud/edge applications ﻿

On how VoIP attacks foster the malicious call ecosystem ﻿

SPARCS: A Sparse Recovery Approach for Integrated Communication and Human Sensing in mmWave Systems ﻿

MIMORPH: A General-Purpose Experimentation Platform for sub-6 GHz and mmWave Frequency Bands ﻿

Classification of Underwater Fish Images and Videos via Very Small Convolutional Neural Networks ﻿

Using indirect reporting surveys to monitor the COVID-19 pandemic

Building Byzantine-tolerant Systems with Distributed Ledgers and Distributed Sets

Using Survey Data to Estimate the Impact of the Omicron Variant on Vaccine Efficacy against COVID-19 Infection

Setchain: Improving Blockchain Scalability with Byzantine Distributed Sets and Barriers

Situational Collective Perception: Adaptive and Efficient Collective Perception in Future Vehicular Systems

Toward Native Explainable and Robust AI in 6G Networks: Current State, Challenges and Road Ahead

Leakage of Sensitive Information to Third-Party Voice Applications

Edge Gaming: a Greening Perspective

Automated Identification of Network Anomalies and Their Causes with Interpretable Machine Learning: the CIAN Methodology and TTrees Implementation

Vector Coded Caching Greatly Enhances Massive MIMO

Coded Caching in Land Mobile Satellite Systems

Robust multivariate control chart based on shrinkage for individual observations

Cleaning Matters! Preprocessing-enhanced Anomaly Detection and Classification in Mobile Networks

Augmenting mmWave Localization Accuracy Through Sub-6 GHz on Off-the-Shelf Devices

Algorithms for robust indoor localization and sensing using off-the-shelf devices

Machine learning algorithms for provisioning cloud/edge applications

On how VoIP attacks foster the malicious call ecosystem

SPARCS: A Sparse Recovery Approach for Integrated Communication and Human Sensing in mmWave Systems

MIMORPH: A General-Purpose Experimentation Platform for sub-6 GHz and mmWave Frequency Bands

Classification of Underwater Fish Images and Videos via Very Small Convolutional Neural Networks