LENGUAJES Y SISTEMAS INFORMÁTICOS
Departamento
FRANCISCO
HERRERA TRIGUERO
CATEDRÁTICO DE UNIVERSIDAD
Publicaciones en las que colabora con FRANCISCO HERRERA TRIGUERO (148)
2024
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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
2023
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Fusing anomaly detection with false positive mitigation methodology for predictive maintenance under multivariate time series
Information Fusion, Vol. 100
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Multi-step histogram based outlier scores for unsupervised anomaly detection: ArcelorMittal engineering dataset case of study
Neurocomputing, Vol. 544
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Survey on federated learning threats: Concepts, taxonomy on attacks and defences, experimental study and challenges
Information Fusion, Vol. 90, pp. 148-173
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TSFEDL: A python library for time series spatio-temporal feature extraction and prediction using deep learning
Neurocomputing, Vol. 517, pp. 223-228
2022
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Backdoor attacks-resilient aggregation based on Robust Filtering of Outliers in federated learning for image classification
Knowledge-Based Systems, Vol. 245
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Dynamic defense against byzantine poisoning attacks in federated learning
Future Generation Computer Systems, Vol. 133, pp. 1-9
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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
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Personalised Federated Learning with BERT Fine Tuning. Case Study on Twitter Sentiment Analysis
Lecture Notes in Networks and Systems
2021
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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
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ADOPS: Aspect Discovery OPinion Summarisation Methodology based on deep learning and subgroup discovery for generating explainable opinion summaries
Knowledge-Based Systems, Vol. 231
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Anomaly detection in predictive maintenance: A new evaluation framework for temporal unsupervised anomaly detection algorithms
Neurocomputing, Vol. 462, pp. 440-452
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Inteligencia artificial y tecnologías digitales para los ODS
Real Academia de Ingeniería
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MonuMAI: Dataset, deep learning pipeline and citizen science based app for monumental heritage taxonomy and classification
Neurocomputing, Vol. 420, pp. 266-280
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Ordering artificial intelligence based recommendations to tackle the sdgs with a decision-making model based on surveys
Sustainability (Switzerland), Vol. 13, Núm. 11
2020
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Big Data Preprocessing: Enabling Smart Data
Springer International Publishing, pp. 1-186
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Enhancing the classification of social media opinions by optimizing the structural information
Future Generation Computer Systems, Vol. 102, pp. 838-846
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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
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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
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A first approach on big data missing values imputation
IoTBDS 2019 - Proceedings of the 4th International Conference on Internet of Things, Big Data and Security