Publicaciones en las que colabora con Francisco Herrera Triguero (22)

2023

  1. Crowd Decision Making: Sparse Representation Guided by Sentiment Analysis for Leveraging the Wisdom of the Crowd

    IEEE Transactions on Systems, Man, and Cybernetics: Systems, Vol. 53, Núm. 1, pp. 369-379

  2. Explainable Crowd Decision Making methodology guided by expert natural language opinions based on Sentiment Analysis with Attention-based Deep Learning and Subgroup Discovery

    Information Fusion, Vol. 97

  3. 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. A panoramic view and swot analysis of artificial intelligence for achieving the sustainable development goals by 2030: progress and prospects

    Applied Intelligence, Vol. 51, Núm. 9, pp. 6497-6527

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

    Knowledge-Based Systems, Vol. 231

  3. Inteligencia artificial y tecnologías digitales para los ODS

    Real Academia de Ingeniería

  4. Ordering artificial intelligence based recommendations to tackle the sdgs with a decision-making model based on surveys

    Sustainability (Switzerland), Vol. 13, Núm. 11

  5. Sentiment Analysis based Multi-Person Multi-criteria Decision Making methodology using natural language processing and deep learning for smarter decision aid. Case study of restaurant choice using TripAdvisor reviews

    Information Fusion, Vol. 68, pp. 22-36

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. Predicting literature's early impact with sentiment analysis in Twitter

    Knowledge-Based Systems, Vol. 192

  4. Tweet Coupling: a social media methodology for clustering scientific publications

    Scientometrics, Vol. 124, Núm. 2, pp. 973-991

  5. 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. Deep learning hyper-parameter tuning for sentiment analysis in twitter based on evolutionary algorithms

    Proceedings of the 2019 Federated Conference on Computer Science and Information Systems, FedCSIS 2019

  2. Deep recurrent neural network for geographical entities disambiguation on social media data

    Knowledge-Based Systems, Vol. 173, pp. 117-127

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

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

2018

  1. Red neural recurrente para la desambiguación de entidades en datos de medios sociales

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