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M. Victoria Luzón - IEEE Xplore Author Profile
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M. Victoria Luzón

Also published under: Maria Victoria Luzón

Publications
4
Citations
139
Publications by Year
20102024
Co-Authors:
Show All Co-Authors (10)
Image of author M. Victoria Luzón

M. Victoria Luzón

Also published under: Maria Victoria Luzón

Affiliation

Department of Software Engineering
Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI)
University of Granada, Granada, Spain

Publication Topics

Biography

M. Victoria Luzón is currently a Full Professor in the Software Engineering Department at the University of Granada, Spain. She is a Member of the research group “Soft Computing and Intelligent Information Systems” and of the Andalusian Interuniversity Institute in Data Science and Computational Intelligence (DaSCI Institute). She received the B.Sc. degree in computer science from the University of Granada in 1992. She received the Ph.D. degree in industrial engineering from the University of Vigo in 2001. Her main research interests include sentiment analysis, natural language processing and the study of novel learning techniques such as federated learning.(Based on document published on 20 March 2024).
Publications
4
Citations
139
Publications by Year
20102024
Co-Authors:
Show All Co-Authors (10)
Author's Published Works

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Defense Strategy against Byzantine Attacks in Federated Machine Learning: Developments towards Explainability

Nuria Rodríguez-Barroso;Javier Del Ser;M. Victoria Luzón;Francisco Herrera

2024 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
Year: 2024 | Conference Paper |
The rise of high-risk AI systems has led to escalating concerns, prompting regulatory efforts such as the recently approved EU AI Act. In this context, the development of responsible AI systems is crucial. To this end, trustworthy AI techniques aim at requirements (including transparency, privacy awareness and fairness) that contribute to the development of responsible, robust and safe AI systems....Show More

Defense Strategy against Byzantine Attacks in Federated Machine Learning: Developments towards Explainability

Nuria Rodríguez-Barroso;Javier Del Ser;M. Victoria Luzón;Francisco Herrera

Year: 2024 | Conference Paper |

A Tutorial on Federated Learning from Theory to Practice: Foundations, Software Frameworks, Exemplary Use Cases, and Selected Trends

M. Victoria Luzón;Nuria Rodríguez-Barroso;Alberto Argente-Garrido;Daniel Jiménez-López;Jose M. Moyano;Javier Del Ser;Weiping Ding;Francisco Herrera

IEEE/CAA Journal of Automatica Sinica
Year: 2024 | Volume: 11, Issue: 4 | Journal Article |
Cited by: Papers (11)
When data privacy is imposed as a necessity, Federated learning (FL) emerges as a relevant artificial intelligence field for developing machine learning (ML) models in a distributed and decentralized environment. FL allows ML models to be trained on local devices without any need for centralized data transfer, thereby reducing both the exposure of sensitive data and the possibility of data interce...Show More

A Tutorial on Federated Learning from Theory to Practice: Foundations, Software Frameworks, Exemplary Use Cases, and Selected Trends

M. Victoria Luzón;Nuria Rodríguez-Barroso;Alberto Argente-Garrido;Daniel Jiménez-López;Jose M. Moyano;Javier Del Ser;Weiping Ding;Francisco Herrera

Year: 2024 | Volume: 11, Issue: 4 | Journal Article |

Sentiment Analysis in TripAdvisor

Ana Valdivia;M. Victoria Luzón;Francisco Herrera

IEEE Intelligent Systems
Year: 2017 | Volume: 32, Issue: 4 | Magazine Article |
Cited by: Papers (127)
Web platforms such as TripAdvisor allow tourists to describe their experiences with hotels, restaurants, and other tourist attractions. This article proposes TripAdvisor as a source of data for sentiment analysis tasks. The authors develop an analysis for studying the matching between users' sentiments and automatic sentiment-detection algorithms. They also discuss some of the challenges regarding...Show More

Sentiment Analysis in TripAdvisor

Ana Valdivia;M. Victoria Luzón;Francisco Herrera

Year: 2017 | Volume: 32, Issue: 4 | Magazine Article |

A stochastic approach to simulate artists behaviour for automatic felt-tipped stippling

Germán Arroyo;Domingo Martín;Maria Victoria Luzón

IEEE Congress on Evolutionary Computation
Year: 2010 | Conference Paper |
Cited by: Papers (1)
Nowadays, non-photorealistic rendering is an area in computer graphics that tries to simulate what artists do and the tools they use. Stippling illustrations with felt-tipped colour pen is not a commonly used technique by artists due to its complexity. In this paper we present a new method to simulate stippling illustrations with felt-tipped colour pen from a photograph or an image. This method in...Show More

A stochastic approach to simulate artists behaviour for automatic felt-tipped stippling

Germán Arroyo;Domingo Martín;Maria Victoria Luzón

Year: 2010 | Conference Paper |

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