output
20152022
most citedDemonstration of latency-aware 5G network slicing on optical metro networks

30 citations

11 papers

cs.NI2022★ 30 cited

Demonstration of latency-aware 5G network slicing on optical metro networks

B. Shariati, L. Velasco, J. -J. Pedreño-Manresa +22

The H2020 METRO-HAUL European project has architected a latency-aware, cost-effective, agile, and programmable optical metro network. This includes the design of semidisaggregated…

cs.CL2021

Influence of ASR and Language Model on Alzheimer's Disease Detection

Joan Codina-Filbà, Guillermo Cámbara, Jordi Luque +1

Alzheimer's Disease is the most common form of dementia. Automatic detection from speech could help to identify symptoms at early stages, so that preventive actions can be carried…

cs.AI2021★ 1 cited

Lexico-semantic and affective modelling of Spanish poetry: A semi-supervised learning approach

Alberto Barbado, María Dolores González, Débora Carrera

Text classification tasks have improved substantially during the last years by the usage of transformers. However, the majority of researches focus on prose texts, with poetry rece…

cs.NI2021★ 3 cited

When SRv6 meets 5G Core: Implementation and Deployment of a Network Service Chaining Function in SmartNICs

Guilherme Matos, Fabio Luciano Verdi, Luis Miguel Contreras +1

Currently, we have witnessed a myriad of solutions that benefit from programmable hardware. The 5G Core (5GC) can and should also benefit from such paradigm to offload certain func…

cs.AI2021★ 5 cited

Vehicle Fuel Optimization Under Real-World Driving Conditions: An Explainable Artificial Intelligence Approach

Alberto Barbado, Óscar Corcho

Fuel optimization of diesel and petrol vehicles within industrial fleets is critical for mitigating costs and reducing emissions. This objective is achievable by acting on fuel-rel…

eess.AS2020★ 4 cited

Convolutional Speech Recognition with Pitch and Voice Quality Features

Guillermo Cámbara, Jordi Luque, Mireia Farrús

The effects of adding pitch and voice quality features such as jitter and shimmer to a state-of-the-art CNN model for Automatic Speech Recognition are studied in this work. Pitch f…