Envíos recientes

Roaming across the European Union in the 5G Era: Performance, Challenges, and Opportunities

Fezeu, Rostand A. K.; Fiandrino, Claudio; Ramadan, Eman; Carpenter, Jason; Chen, Daqing; Tan, Yiling; Qian, Feng; Widmer, Joerg; Zhang, Zhi-Li (2024-05)

conference object

FreqyWM: Frequency WaterMarking for the New Data Economy

İşler, Devriş; Cabana, Elisa; García-Recuero, Álvaro; Koutrika, Georgia; Laoutaris, Nikolaos (2024-05)

conference object

The NetMob23 Dataset: A High-resolution Multi-region Service-level Mobile Data Traffic Cartography

Martínez-Durive, Orlando E.; Mishra, Sachit; Ziemlicki, Cezary; Rubrichi, Stefania; Smoreda, Zbigniew; Fiore, Marco (Arxiv, 2023-05-11)

technical report

Jewel: Resource-Efficient Joint Packet and Flow Level Inference in Programmable Switches

Akem, Aristide Tanyi-Jong; Bütün, Beyza; Gucciardo, Michele; Fiore, Marco (2024-05-20)

conference object

Differences in the Toxic Language of Cross-Platform Communities

Singh, Ashwini Kumar; Ghafouri, Vahid; Such, Jose; Suarez-Tangil, Guillermo (2024-06-03)

conference object

Hacia una red 5G/6G con inteligencia nativa: oportunidades e integración en los nuevos desarrollos de redes móviles

Bazco-Nogueras, Antonio (2023-11-11)

conference object

Towards Natively Intelligent Networks

Alcaraz-Calero, Jose M.; Antti, Anttonen; Araújo, Marco; Barbosa, Raul; Barmpounakis, Sokratis; Barrachina-Muñoz, Sergio; Bassoli, Riccardo; Bernini, Giacomo; Blanco, Luis; Bosneag, Anne-Marie; Chawla, Ashima; Christofi, Loizos; Dampahalage, Dilin; Demestichas, Panagiotis; Ericson, Marten; Farhadi, Hamed; Fiore, Marco; Fitzek, Frank H.P.; Flinck, Hannu; Fonseca, Joāo; Forsell, Martti; Gabillon, Victor; García-Avilés, Ginés; Garcia-Saavedra, Andres; Gramaglia, Marco; Han, Bin; Honkala, Mikko; Kazmierowski, Alexandre; Klitis, Charalambos; Korpi, Dani; Kuklinski, Slawomir; Labrador Pavón, Ignacio; Lamprousi, Vasiliki; Landi, Giada; Lee, Haeyoung; Li, Xi; Mangues-Bafalluy, Josep; Masood Khorsandi, Bahare; Merluzzi, Mattia; Mohammadi, Jafar; Morin, Cédric; Ordoñez Lucena, José Antonio; Pöyhönen, Petteri; Rajapaksha, Nuwanthika; Rajatheva, Premanandana; Rezazadeh, Farhad; Riggio, Roberto; Scheuvens, Lucas; Seimler, Merve; Tuononen, Janne; Vilalta, Ricard; Wang, Qi; Wunderer, Stefan; Zanzi, Lanfranco; Zeydan, Engin; Zhang, Xun (NOW Publishers, 2023)

book part

A System Architecture for Battery-free IoT Networks

Frómeta Fonseca, Dayrene; Genovés Guzmán, Borja; Giustiniano, Domenico; Widmer, Joerg (2023-10-10)

conference object

A prediction-model-assisted reinforcement learning algorithm for handover decision-making in hybrid LiFi and WiFi networks

Frómeta Fonseca, Dayrene; Genovés Guzmán, Borja; Mertena, Giovanni Luca; Bian, Rui; Haas, Harald; Giustiniano, Domenico (2024-01-25)

journal article

LiFi for Low-Power and Long-Range RF Backscatter

Mir, Muhammad Sarmad; Genovés Guzmán, Borja; Varshney, Ambuj; Giustiniano, Domenico (2023-12-23)

journal article

Improved Decision Module Selection for Hierarchical Inference in Resource-Constrained Edge Devices

Behera, Adarsh Prasad; Morabito, Roberto; Widmer, Joerg; Champati, Jaya Prakash (2023-10-02)

conference object

Nowcasting Temporal Trends Using Indirect Surveys

Srivastava, Ajitesh; Ramirez, Juan Marcos; Díaz-Aranda, Sergio; Aguilar, Jose; Ortega, Antonio; Fernández Anta, Antonio; Lillo, Rosa Elvira (2024-03-01)

conference object

Explainability Analysis in Predictive Models Based on Machine Learning Techniques on the Risk of Hospital Readmissions

Lopera, Juan; Aguilar, Jose (Springer, 2023-12-01)

journal article

Quality of Experience in Video Streaming: Status Quo, Pitfalls, and Guidelines

Peroni, Leonardo; Gorinsky, Sergey (2024-01-03)

conference object

Improving Blockchain Scalability with the Setchain Data-type

Capretto, Margarita; Ceresa, Martín; Fernández Anta, Antonio; Russo, Antonio; Sánchez, César (ACM, 2023-10-13)

journal article

Delirium detection using wearable sensors and machine learning in patients with intracerebral hemorrhage

Ahmed, Abdullah; Garcia-Agundez, Augusto; Petrovic, Ivana; Radaei, Fatemeh; Fife, James; Zhou, John; Karas, Hunter; Moody, Scott; Drake, Jonathan; Jones, Richard N.; Eickhoff, Carsten; Reznik, Michael E. (2023-06-09)

journal article

Performance and Explainability of Feature Selection-Boosted Tree-based Classifiers for COVID-19 Detection

Rufino, Jesús; Ramirez, Juan Marcos; Aguilar, Jose; Baquero, Carlos; Champati, Jaya Prakash; Frey, Davide; Lillo, Rosa Elvira; Fernández Anta, Antonio (Elsevier, 2023-12-07)

journal article

EXPLORA: AI/ML EXPLainability for the Open RAN

Fiandrino, Claudio; Bonati, Leonardo; D'Oro, Salvatore; Polese, Michele; Melodia, Tommaso; Widmer, Joerg (ACM, 2023-12)

journal article

An Experimental Prototype for Multistatic Asynchronous ISAC

Canil, Marco; Pegoraro, Jacopo; Lacruz, Jesús Omar; Mezzavilla, Marco; Rossi, Michele; Widmer, Joerg; Rangan, Sundeep (2023-11-12)

conference object

Case studies of clinical decision-making through prescriptive models based on machine learning

Hoyos, William; Aguilar, Jose; Raciny, Mayra; Toro, Mauricio (Elsevier, 2023-11-30)

journal article

IMDEA Networks: Envíos recientes

Roaming across the European Union in the 5G Era: Performance, Challenges, and Opportunities ﻿

FreqyWM: Frequency WaterMarking for the New Data Economy ﻿

The NetMob23 Dataset: A High-resolution Multi-region Service-level Mobile Data Traffic Cartography ﻿

Jewel: Resource-Efficient Joint Packet and Flow Level Inference in Programmable Switches ﻿

Differences in the Toxic Language of Cross-Platform Communities ﻿

Hacia una red 5G/6G con inteligencia nativa: oportunidades e integración en los nuevos desarrollos de redes móviles ﻿

Towards Natively Intelligent Networks ﻿

A System Architecture for Battery-free IoT Networks ﻿

A prediction-model-assisted reinforcement learning algorithm for handover decision-making in hybrid LiFi and WiFi networks ﻿

LiFi for Low-Power and Long-Range RF Backscatter ﻿

Improved Decision Module Selection for Hierarchical Inference in Resource-Constrained Edge Devices ﻿

Nowcasting Temporal Trends Using Indirect Surveys ﻿

Explainability Analysis in Predictive Models Based on Machine Learning Techniques on the Risk of Hospital Readmissions ﻿

Quality of Experience in Video Streaming: Status Quo, Pitfalls, and Guidelines ﻿

Improving Blockchain Scalability with the Setchain Data-type ﻿

Delirium detection using wearable sensors and machine learning in patients with intracerebral hemorrhage ﻿

Performance and Explainability of Feature Selection-Boosted Tree-based Classifiers for COVID-19 Detection ﻿

EXPLORA: AI/ML EXPLainability for the Open RAN ﻿

An Experimental Prototype for Multistatic Asynchronous ISAC ﻿

Case studies of clinical decision-making through prescriptive models based on machine learning ﻿

Roaming across the European Union in the 5G Era: Performance, Challenges, and Opportunities

FreqyWM: Frequency WaterMarking for the New Data Economy

The NetMob23 Dataset: A High-resolution Multi-region Service-level Mobile Data Traffic Cartography

Jewel: Resource-Efficient Joint Packet and Flow Level Inference in Programmable Switches

Differences in the Toxic Language of Cross-Platform Communities

Hacia una red 5G/6G con inteligencia nativa: oportunidades e integración en los nuevos desarrollos de redes móviles

Towards Natively Intelligent Networks

A System Architecture for Battery-free IoT Networks

A prediction-model-assisted reinforcement learning algorithm for handover decision-making in hybrid LiFi and WiFi networks

LiFi for Low-Power and Long-Range RF Backscatter

Improved Decision Module Selection for Hierarchical Inference in Resource-Constrained Edge Devices

Nowcasting Temporal Trends Using Indirect Surveys

Explainability Analysis in Predictive Models Based on Machine Learning Techniques on the Risk of Hospital Readmissions

Quality of Experience in Video Streaming: Status Quo, Pitfalls, and Guidelines

Improving Blockchain Scalability with the Setchain Data-type

Delirium detection using wearable sensors and machine learning in patients with intracerebral hemorrhage

Performance and Explainability of Feature Selection-Boosted Tree-based Classifiers for COVID-19 Detection

EXPLORA: AI/ML EXPLainability for the Open RAN

An Experimental Prototype for Multistatic Asynchronous ISAC

Case studies of clinical decision-making through prescriptive models based on machine learning