Publicaciones (48) Publicaciones de MARÍA VICTORIA LUZÓN GARCÍA

2024

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

    IEEE/CAA Journal of Automatica Sinica, Vol. 11, Núm. 4, pp. 824-850

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

    IEEE International Conference on Fuzzy Systems

  3. Federated Learning for Exploiting Annotators’ Disagreements in Natural Language Processing

    Transactions of the Association for Computational Linguistics, Vol. 12, pp. 724-742

2023

  1. Survey on federated learning threats: Concepts, taxonomy on attacks and defences, experimental study and challenges

    Information Fusion, Vol. 90, pp. 148-173

2022

  1. Backdoor attacks-resilient aggregation based on Robust Filtering of Outliers in federated learning for image classification

    Knowledge-Based Systems, Vol. 245

  2. Dynamic defense against byzantine poisoning attacks in federated learning

    Future Generation Computer Systems, Vol. 133, pp. 1-9

  3. Personalised Federated Learning with BERT Fine Tuning. Case Study on Twitter Sentiment Analysis

    Lecture Notes in Networks and Systems

2021

  1. ADOPS: Aspect Discovery OPinion Summarisation Methodology based on deep learning and subgroup discovery for generating explainable opinion summaries

    Knowledge-Based Systems, Vol. 231

  2. New research methods & algorithms in social network analysis

    Future Generation Computer Systems

  3. New trends and applications in social media analytics

    Future Generation Computer Systems

2020

  1. Enhancing the classification of social media opinions by optimizing the structural information

    Future Generation Computer Systems, Vol. 102, pp. 838-846

  2. Federated Learning and Differential Privacy: Software tools analysis, the Sherpa.ai FL framework and methodological guidelines for preserving data privacy

    Information Fusion, Vol. 64, pp. 270-292

  3. What do people think about this monument? Understanding negative reviews via deep learning, clustering and descriptive rules

    Journal of Ambient Intelligence and Humanized Computing, Vol. 11, Núm. 1, pp. 39-52

2019

  1. E2SAM: Evolutionary ensemble of sentiment analysis methods for domain adaptation

    Information Sciences, Vol. 480, pp. 273-286

  2. Inconsistencies on TripAdvisor reviews: A unified index between users and Sentiment Analysis Methods

    Neurocomputing, Vol. 353, pp. 3-16

2018

  1. Consensus vote models for detecting and filtering neutrality in sentiment analysis

    Information Fusion, Vol. 44, pp. 126-135

  2. Resumiendo opiniones negativas con "Deep learning" y reglas descriptivas

    XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018): avances en Inteligencia Artificial. 23-26 de octubre de 2018 Granada, España

2017

  1. A complete 3D information system for cultural heritage documentation

    Journal of Cultural Heritage, Vol. 23, pp. 49-57

  2. Sentiment Analysis in TripAdvisor

    IEEE Intelligent Systems, Vol. 32, Núm. 4, pp. 72-77

  3. Sentiment analysis on tripadvisor: Are there inconsistencies in user reviews?

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)