Publikationen, an denen er mitarbeitet FRANCISCO HERRERA TRIGUERO (149)

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. On-line linguistic Decision Support System based on Citizen Crowd Decision Making

    Information Fusion, Vol. 108

2023

  1. Fusing anomaly detection with false positive mitigation methodology for predictive maintenance under multivariate time series

    Information Fusion, Vol. 100

  2. Multi-step histogram based outlier scores for unsupervised anomaly detection: ArcelorMittal engineering dataset case of study

    Neurocomputing, Vol. 544

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

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

  4. TSFEDL: A python library for time series spatio-temporal feature extraction and prediction using deep learning

    Neurocomputing, Vol. 517, pp. 223-228

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. EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: The MonuMAI cultural heritage use case

    Information Fusion, Vol. 79, pp. 58-83

  4. 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. Anomaly detection in predictive maintenance: A new evaluation framework for temporal unsupervised anomaly detection algorithms

    Neurocomputing, Vol. 462, pp. 440-452

  4. Inteligencia artificial y tecnologías digitales para los ODS

    Real Academia de Ingeniería

  5. MonuMAI: Dataset, deep learning pipeline and citizen science based app for monumental heritage taxonomy and classification

    Neurocomputing, Vol. 420, pp. 266-280

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

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

2020

  1. Big Data Preprocessing: Enabling Smart Data

    Springer International Publishing, pp. 1-186

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

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

  3. 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

  4. 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