
ANA
FERNANDEZ VILAS
CATEDRATICO/A UNIVERSIDADE - TEMPO COMPLETO
Publicacións (29) Publicacións de ANA FERNANDEZ VILAS
2023
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Irregular repetition slotted Aloha with multiuser detection: A density evolution analysis
Computer Networks, Vol. 234
2021
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Can the Type of Content You Share on eLearning Forums Reveal What Kind of Student You Are?
Revista Iberoamericana de Tecnologias del Aprendizaje, Vol. 16, Núm. 3, pp. 318-327
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Credibility assessment of financial stock tweets
Expert Systems with Applications, Vol. 168
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Multi-criteria recommendation systems to foster online grocery
Sensors, Vol. 21, Núm. 11
2020
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A hybrid analysis of LBSN data to early detect anomalies in crowd dynamics
Future Generation Computer Systems, Vol. 109, pp. 83-94
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The Irruption of Cryptocurrencies into Twitter Cashtags: A Classifying Solution
IEEE Access, Vol. 8, pp. 32698-32713
2019
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A methodology for the resolution of cashtag collisions on Twitter – A natural language processing & data fusion approach
Expert Systems with Applications, Vol. 127, pp. 353-369
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Analysis of crowds' movement using Twitter
Computational Intelligence, Vol. 35, Núm. 2, pp. 448-472
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Twitter permeability to financial events: an experiment towards a model for sensing irregularities
Multimedia Tools and Applications, Vol. 78, Núm. 7, pp. 9217-9245
2018
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Big data fusion model for heterogeneous financial market data (FinDf)
Advances in Intelligent Systems and Computing
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Discovering geo-dependent stories by combining density-based clustering and thread-based aggregation techniques
Expert Systems with Applications, Vol. 95, pp. 32-42
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The workforce analyzer: group discovery among LinkedIn public profiles
Journal of Ambient Intelligence and Humanized Computing, Vol. 9, Núm. 6, pp. 2025-2034
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Using entropy of social media location data for the detection of crowd dynamics anomalies
Electronics (Switzerland), Vol. 7, Núm. 12
2017
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Experiment for analysing the impact of financial events on twitter
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Identifying urban crowds using geo-located Social media data: a Twitter experiment in New York City
Journal of Intelligent Information Systems, Vol. 48, Núm. 2, pp. 287-308
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Sensing the city with Instagram: Clustering geolocated data for outlier detection
Expert Systems with Applications, Vol. 78, pp. 319-333
2015
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The evolution of your success lies at the centre of your co-authorship network
PLoS ONE, Vol. 10, Núm. 3
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Why are these people there? An analysis based on Twitter
IISA 2015 - 6th International Conference on Information, Intelligence, Systems and Applications
2014
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Is there a crowd? experiences in using density-based clustering and outlier detection
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Marble initiative - Monitoring the impact of events on customers opinion
KDIR 2014 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval