Envíos recientes

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

ARTEMIS: Adaptive bitrate ladder optimization for live video streaming

Tashtarian, Farzad; Bentaleb, Abdelhak; Amirpour, Hadi; Gorinsky, Sergey; Jiang, Junchen; Hellwagner, Hermann; Timmerer, Christian (2024-04-16)

conference object

Empowerment of atypical viewers via low-effort personalized modeling of video streaming quality

Peroni, Leonardo; Gorinsky, Sergey; Tashtarian, Farzad; Timmerer, Christian (ACM, 2023-12)

journal article

Atomic Appends in Asynchronous Byzantine Distributed Ledgers

Cholvi, Vicent; Fernández Anta, Antonio; Georgiou, Chryssis; Nicolaou, Nicolas; Russo, Antonio (Elsevier, 2023-12)

journal article

Adversarial Obstruction of Millimeter Wave Links

Badia, Leonardo; Mancuso, Vincenzo; Ajmone Marsan, Marco (2023-06-13)

conference object

Efficiency of Distributed Selection of Edge or Cloud Servers Under Latency Constraints

Mancuso, Vincenzo; Badia, Leonardo; Castagno, Paolo; Sereno, Matteo; Ajmone Marsan, Marco (2023-06-13)

conference object

The impact of physicochemical features of carbon electrodes on the capacitive performance of supercapacitors: a machine learning approach

Mishra, Sachit; Srivastava, Rajat; Muhammad, Atta; Amit, Amit; Chiavazzo, Eliodoro; Fasano, Matteo; Asinari, Pietro (2023-04-14)

journal article

Fundamental Limits of Topology-Aware Shared-Cache Networks

Parrinello, Emanuele; Bazco-Nogueras, Antonio; Elia, Petros (IEEE, 2023-10-04)

journal article

PassiveLiFi Demonstration: Rethinking LiFi for Low-Power and Long-Range RF Backscatter

Frómeta Fonseca, Dayrene; Mir, Muhammad Sarmad; Genovés Guzmán, Borja; Varshney, Ambuj; Giustiniano, Domenico (2023-10)

conference object

ATHENA: Machine Learning and Reasoning for Radio Resources Scheduling in vRAN systems

Apostolakis, Nikolaos; Gramaglia, Marco; Chatzieleftheriou, Livia Elena; Subramanya, Tejas; Banchs, Albert; Sanneck, Henning (2023-11-28)

journal article

waveSLAM: Empowering accurate indoor mapping using off-the-shelf millimeter-wave self-sensing

Picazo, Pablo; Groshev, Milan; Blanco, Alejandro; Fiandrino, Claudio; de la Oliva, Antonio; Widmer, Joerg (2023-10-10)

conference object

Scalable multi-modal learning for cross-link channel prediction in massive IoT networks

Woo Cho, Kun; Cominelli, Marco; Gringoli, Francesco; Widmer, Joerg; Jamieson, Kyle (2023-10-23)

conference object

In-band multi-connectivity with local beamtraining for improving mmWave network resilience

Grosheva, Nina; Hersyandika, Rizqi; Widmer, Joerg; Pollin, Sofie (2023-10-29)

conference object

IMDEA Networks: Envíos recientes

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 ﻿

ARTEMIS: Adaptive bitrate ladder optimization for live video streaming ﻿

Empowerment of atypical viewers via low-effort personalized modeling of video streaming quality ﻿

Atomic Appends in Asynchronous Byzantine Distributed Ledgers ﻿

Adversarial Obstruction of Millimeter Wave Links ﻿

Efficiency of Distributed Selection of Edge or Cloud Servers Under Latency Constraints ﻿

The impact of physicochemical features of carbon electrodes on the capacitive performance of supercapacitors: a machine learning approach ﻿

Fundamental Limits of Topology-Aware Shared-Cache Networks ﻿

PassiveLiFi Demonstration: Rethinking LiFi for Low-Power and Long-Range RF Backscatter ﻿

ATHENA: Machine Learning and Reasoning for Radio Resources Scheduling in vRAN systems ﻿

waveSLAM: Empowering accurate indoor mapping using off-the-shelf millimeter-wave self-sensing ﻿

Scalable multi-modal learning for cross-link channel prediction in massive IoT networks ﻿

In-band multi-connectivity with local beamtraining for improving mmWave network resilience ﻿

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

ARTEMIS: Adaptive bitrate ladder optimization for live video streaming

Empowerment of atypical viewers via low-effort personalized modeling of video streaming quality

Atomic Appends in Asynchronous Byzantine Distributed Ledgers

Adversarial Obstruction of Millimeter Wave Links

Efficiency of Distributed Selection of Edge or Cloud Servers Under Latency Constraints

The impact of physicochemical features of carbon electrodes on the capacitive performance of supercapacitors: a machine learning approach

Fundamental Limits of Topology-Aware Shared-Cache Networks

PassiveLiFi Demonstration: Rethinking LiFi for Low-Power and Long-Range RF Backscatter

ATHENA: Machine Learning and Reasoning for Radio Resources Scheduling in vRAN systems

waveSLAM: Empowering accurate indoor mapping using off-the-shelf millimeter-wave self-sensing

Scalable multi-modal learning for cross-link channel prediction in massive IoT networks

In-band multi-connectivity with local beamtraining for improving mmWave network resilience