Picuslab-DIETI

Picuslab-DIETI is happy to share its last publication entitled "Playing With a Multi Armed Bandit to Optimize Resource Allocation in Satellite-Enabled 5G Networks" - whose authors are Antonio Galli, Vincenzo Moscato, Simon Pietro Romano and Giancarlo Sperlì - has been accepted on IEEE Transactions on Network and Service Management.

In this paper, we address issues associated with the effective management of handover events in satellite-enabled 5G network infrastructures.
Namely, we devise a Combinatorial Multi-agent Multi-Armed Bandit for dynamically allocating 5G gNB available resources over time under uncertainty conditions in the presence of a constellation of LEO satellites, based on several parameters collected and dispatched by an ad hoc orchestration platform.

https://lnkd.in/dhFtzz56

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Picuslab-DIETIPicuslab is happy to share its last publication entitled " Few-shot Named Entity Recognition: definition, taxonomy and research directions" - whose authors are Vincenzo Moscato, Marco Postiglione and Giancarlo Sperlì - has been accepted on ACM Transactions on Intelligent Systems and Technology.

In this survey, starting from a clear definition and description of the few-shot NER (FS-NER) problem, we take stock of the current state-of-the-art and propose a taxonomy which divides algorithms in two macro-categories according to the underlying mechanisms: model-centric and data-centric. For each category, we line-up works as a story to show how the field is moving towards new research directions. Eventually, techniques, limitations and key aspects are deeply analyzed to facilitate future studies.

https://lnkd.in/dpKSr_7b

Few-shot Named Entity Recognition: definition, taxonomy and research directions | ACM Transactions on Intelligent Systems and Technology Recent years have seen an exponential growth (+98% in 2022 w.r.t. the previous year) of the number of research papers in the few-shot learning field, which aims to train machine learning models with extremely limited available data. The research interest ...