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Francisco J. González-Castaño

Researcher at University of Vigo

Publications -  222
Citations -  2121

Francisco J. González-Castaño is an academic researcher from University of Vigo. The author has contributed to research in topics: The Internet & Cellular network. The author has an hindex of 21, co-authored 209 publications receiving 1847 citations. Previous affiliations of Francisco J. González-Castaño include Universidad Politécnica de Cartagena & Gradiant (Galician Research and Development Center in Advanced Telecommunications).

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Journal ArticleDOI

Differentiating users by language and location estimation in sentiment analisys of informal text during major public events

TL;DR: A solution combining a location prediction methodology with an unsupervised technique for sentiment analysis to assess automatically the engagement of social network users in different countries during an event with worldwide impact is presented.
Proceedings ArticleDOI

GMPLS Optical Packet Switching Networks: Optical vs. Electronic Feasibility

TL;DR: In this paper, the GMPLS extensions proposed for synchronous slotted optical Packet Switching (OPS) networks, from the point of view of their impact on the switching node design are surveyed and analyzed.
Journal ArticleDOI

Decoupled parallel hierarchical matching schedulers

TL;DR: The load balanced Birkhoff–von Neumann switch is an elegant VOQ architecture with two outstanding characteristics: it has a computational cost of O(1) iterations and input controllers do not exchange information.
Proceedings Article

SHARING SECURE DOCUMENTS IN THE CLOUD - A Secure Layer for Google Docs

TL;DR: This paper presents and discusses a secure layer to guarantee privacy of shared Google Docs documents, one of the first approaches to private shared edition with real Cloud tools.
Journal ArticleDOI

A System for Automatic English Text Expansion

TL;DR: An automatic text expansion system to generate English sentences, which performs automatic Natural Language Generation (NLG) by combining linguistic rules with statistical approaches, which has created the highly precise aLexiE lexicon with wide coverage.