| Sentiment analysis in tripadvisor A Valdivia, MV Luzón, F Herrera IEEE Intelligent Systems 32 (4), 72-77, 2017 | 248 | 2017 |
| Survey on federated learning threats: Concepts, taxonomy on attacks and defences, experimental study and challenges N Rodríguez-Barroso, D Jiménez-López, MV Luzón, F Herrera, ... Information Fusion 90, 148-173, 2023 | 236 | 2023 |
| Federated Learning and Differential Privacy: Software tools analysis, the Sherpa. ai FL framework and methodological guidelines for preserving data privacy N Rodríguez-Barroso, G Stipcich, D Jiménez-López, JA Ruiz-Millán, ... Information Fusion 64, 270-292, 2020 | 158 | 2020 |
| Consensus vote models for detecting and filtering neutrality in sentiment analysis A Valdivia, MV Luzón, E Cambria, F Herrera Information Fusion 44, 126-135, 2018 | 135 | 2018 |
| A complete 3D information system for cultural heritage documentation F Soler, FJ Melero, MV Luzón Journal of Cultural Heritage 23, 49-57, 2017 | 128 | 2017 |
| Inconsistencies on TripAdvisor reviews: A unified index between users and Sentiment Analysis Methods A Valdivia, E Hrabova, I Chaturvedi, MV Luzón, L Troiano, E Cambria, ... Neurocomputing 353, 3-16, 2019 | 95 | 2019 |
| Automatic parameter tuning with a Bayesian case-based reasoning system. A case of study R Pavón, F Díaz, R Laza, V Luzón Expert Systems with Applications 36 (2), 3407-3420, 2009 | 70 | 2009 |
| Genetic algorithms for root multiselection in constructive geometric constraint solving R Joan-Arinyo, MV Luzón, A Soto Computers & Graphics 27 (1), 51-60, 2003 | 46 | 2003 |
| New research methods & algorithms in social network analysis D Camacho, MV Luzón, E Cambria Future Generation Computer Systems 114, 290-293, 2021 | 44 | 2021 |
| Dynamic defense against byzantine poisoning attacks in federated learning N Rodríguez-Barroso, E Martínez-Cámara, MV Luzón, F Herrera Future Generation Computer Systems 133, 1-9, 2022 | 42 | 2022 |
| E2SAM: Evolutionary ensemble of sentiment analysis methods for domain adaptation M López, A Valdivia, E Martínez-Cámara, MV Luzón, F Herrera Information Sciences 480, 273-286, 2019 | 41 | 2019 |
| Automatic parameter tuning for evolutionary algorithms using a bayesian case-based reasoning system E Yeguas, MV Luzón, R Pavón, R Laza, G Arroyo, F Díaz Applied Soft Computing 18, 185-195, 2014 | 39 | 2014 |
| What do people think about this monument? Understanding negative reviews via deep learning, clustering and descriptive rules A Valdivia, E Martínez-Cámara, I Chaturvedi, MV Luzón, E Cambria, ... Journal of Ambient Intelligence and Humanized Computing 11, 39-52, 2020 | 36 | 2020 |
| Scale-dependent and example-based grayscale stippling D Martín, G Arroyo, MV Luzón, T Isenberg Computers & Graphics 35 (1), 160-174, 2011 | 36 | 2011 |
| Example-based stippling using a scale-dependent grayscale process D Martín, G Arroyo, MV Luzón, T Isenberg Proceedings of the 8th International Symposium on Non-Photorealistic …, 2010 | 35 | 2010 |
| Neutrality in the sentiment analysis problem based on fuzzy majority A Valdivia, MV Luzíón, F Herrera 2017 IEEE international conference on fuzzy systems (FUZZ-IEEE), 1-6, 2017 | 29 | 2017 |
| Design of cultural heritage information systems based on information layers F Soler, JC Torres, AJ León, MV Luzón Journal on Computing and Cultural Heritage (JOCCH) 6 (4), 1-17, 2013 | 28 | 2013 |
| Backdoor attacks-resilient aggregation based on robust filtering of outliers in federated learning for image classification N Rodríguez-Barroso, E Martínez-Cámara, MV Luzón, F Herrera Knowledge-Based Systems 245, 108588, 2022 | 24 | 2022 |
| A tutorial on federated learning from theory to practice: Foundations, software frameworks, exemplary use cases, and selected trends MV Luzón, N Rodríguez-Barroso, A Argente-Garrido, D Jiménez-López, ... IEEE/CAA Journal of Automatica Sinica 11 (4), 824-850, 2024 | 22 | 2024 |
| Dynamic federated learning model for identifying adversarial clients N Rodrıguez-Barroso, E Martınez-Cámara, M Luzón, GG Seco, ... arXiv preprint arXiv:2007.15030, 2020 | 22 | 2020 |
Francisco HerreraProfessor Computer Science and AI, DaSCI Research Institute, Granada University, SpainZweryfikowany adres z decsai.ugr.es