María Victoria Luzón

58 papers A 1B 3Misc 4Journal 43Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
Addressing data quality decompensation in federated learning via dynamic client selection.
Future Gener. Comput. Syst.
Qinjun Fei, Nuria Rodríguez Barroso, María Victoria Luzón, Zhongliang Zhang, Francisco Herrera
2026 J jnl
From privacy to trust in the agentic era: a taxonomy of challenges in trustworthy federated learning through the lens of trust report 2.0.
Inf. Fusion
Nuria Rodríguez Barroso, Mario García-Márquez, María Victoria Luzón, Francisco Herrera
2026 J jnl
RAB
Mach. Intell. Res.
Nuria Rodríguez Barroso, María Victoria Luzón, Francisco Herrera
2026 J jnl
Resilient Federated Chain: Transforming Blockchain Consensus into an Active Defense Layer for Federated Learning.
CoRR
Mario García-Márquez, Nuria Rodríguez Barroso, María Victoria Luzón, Francisco Herrera
2025 J jnl
Addressing Data Quality Decompensation in Federated Learning via Dynamic Client Selection.
CoRR
Qinjun Fei, Nuria Rodríguez Barroso, María Victoria Luzón, Zhongliang Zhang, Francisco Herrera
2025 J jnl
An interpretable client decision tree aggregation process for federated learning.
Inf. Sci.
Alberto Argente-Garrido, Cristina Zuheros, María Victoria Luzón, Francisco Herrera
2025 J jnl
Challenges of Trustworthy Federated Learning: What's Done, Current Trends and Remaining Work.
CoRR
Nuria Rodríguez Barroso, Mario García-Márquez, María Victoria Luzón, Francisco Herrera
2025 J jnl
FLEX: Flexible Federated Learning Framework.
Inf. Fusion
Francisco Herrera, Daniel Jiménez-López, Alberto Argente-Garrido, Nuria Rodríguez Barroso, Cristina Zuheros, Ignacio Aguilera-Martos, Beatriz Bello, Mario García-Márquez, María Victoria Luzón
2025 J jnl
Improving (α, f)-Byzantine Resilience in Federated Learning via layerwise aggregation and cosine distance.
CoRR
Mario García-Márquez, Nuria Rodríguez Barroso, María Victoria Luzón, Francisco Herrera
2025 J jnl
Improving (α,f)-Byzantine resilience in federated learning via layerwise aggregation and cosine distance.
Knowl. Based Syst.
Mario García-Márquez, Nuria Rodríguez Barroso, María Victoria Luzón, Francisco Herrera
2025 B conf
Improving Krum's Byzantine Resilience in Federated Learning via layerwise aggregation.
IJCNN
Mario García-Márquez, Nuria Rodríguez Barroso, María Victoria Luzón, Francisco Herrera
2025 J jnl
Krum Federated Chain (KFC): Using blockchain to defend against adversarial attacks in Federated Learning.
CoRR
Mario García-Márquez, Nuria Rodríguez Barroso, María Victoria Luzón, Francisco Herrera
2025 J jnl
Membership Inference Attacks Fueled by Few-Shot Learning to Detect Privacy Leakage and Address Data Integrity.
Mach. Learn. Knowl. Extr.
Daniel Jiménez-López, Nuria Rodríguez Barroso, María Victoria Luzón, Javier Del Ser, Francisco Herrera
2025 J jnl
Membership Inference Attacks fueled by Few-Short Learning to detect privacy leakage tackling data integrity.
CoRR
Daniel Jiménez-López, Nuria Rodríguez Barroso, María Victoria Luzón, Francisco Herrera
2024 J jnl
A Tutorial on Federated Learning from Theory to Practice: Foundations, Software Frameworks, Exemplary Use Cases, and Selected Trends.
IEEE CAA J. Autom. Sinica
María Victoria Luzón, Nuria Rodríguez Barroso, Alberto Argente-Garrido, Daniel Jiménez-López, Jose M. Moyano, Javier Del Ser, Weiping Ding, Francisco Herrera
2024 J jnl
An Interpretable Client Decision Tree Aggregation process for Federated Learning.
CoRR
Alberto Argente-Garrido, Cristina Zuheros, María Victoria Luzón, Francisco Herrera
2024 — conf
Defense Strategy against Byzantine Attacks in Federated Machine Learning: Developments towards Explainability.
FUZZ
Nuria Rodríguez Barroso, Javier Del Ser, María Victoria Luzón, Francisco Herrera
2024 J jnl
FLEX: FLEXible Federated Learning Framework.
CoRR
Francisco Herrera, Daniel Jiménez-López, Alberto Argente-Garrido, Nuria Rodríguez Barroso, Cristina Zuheros, Ignacio Aguilera-Martos, Beatriz Bello, Mario García-Márquez, María Victoria Luzón
2024 J jnl
Federated Learning for Exploiting Annotators' Disagreements in Natural Language Processing.
Trans. Assoc. Comput. Linguistics
Nuria Rodríguez Barroso, Eugenio Martínez Cámara, José Camacho-Collados, María Victoria Luzón, Francisco Herrera
2024 J jnl
RAB
CoRR
Nuria Rodríguez Barroso, María Victoria Luzón, Francisco Herrera
2023 J jnl
Can we infer the presence of Differential Privacy in Deep Learning models' weights? Towards more secure Deep Learning.
CoRR
Daniel Jiménez-López, Nuria Rodríguez Barroso, María Victoria Luzón, Francisco Herrera
2023 J jnl
Survey on federated learning threats: Concepts, taxonomy on attacks and defences, experimental study and challenges.
Inf. Fusion
Nuria Rodríguez Barroso, Daniel Jiménez-López, María Victoria Luzón, Francisco Herrera, Eugenio Martínez-Cámara
2022 J jnl
Backdoor attacks-resilient aggregation based on Robust Filtering of Outliers in federated learning for image classification.
Knowl. Based Syst.
Nuria Rodríguez Barroso, Eugenio Martínez-Cámara, María Victoria Luzón, Francisco Herrera
2022 J jnl
Dynamic defense against byzantine poisoning attacks in federated learning.
Future Gener. Comput. Syst.
Nuria Rodríguez Barroso, Eugenio Martínez-Cámara, María Victoria Luzón, Francisco Herrera
2022 J jnl
Survey on Federated Learning Threats: concepts, taxonomy on attacks and defences, experimental study and challenges.
CoRR
Nuria Rodríguez Barroso, Daniel Jiménez-López, María Victoria Luzón, Francisco Herrera, Eugenio Martínez-Cámara
2021 J jnl
ADOPS: Aspect Discovery OPinion Summarisation Methodology based on deep learning and subgroup discovery for generating explainable opinion summaries.
Knowl. Based Syst.
Miguel López, Eugenio Martínez-Cámara, María Victoria Luzón, Francisco Herrera
2020 J jnl
Dynamic Federated Learning Model for Identifying Adversarial Clients.
CoRR
Nuria Rodríguez Barroso, Eugenio Martínez-Cámara, María Victoria Luzón, Gerardo González-Seco, Miguel Ángel Veganzones, Francisco Herrera
2020 J jnl
Enhancing the classification of social media opinions by optimizing the structural information.
Future Gener. Comput. Syst.
Carla Vairetti, Eugenio Martínez-Cámara, Sebastián Maldonado, María Victoria Luzón, Francisco Herrera
2020 J jnl
Federated Learning and Differential Privacy: Software tools analysis, the Sherpa.ai FL framework and methodological guidelines for preserving data privacy.
CoRR
Nuria Rodríguez Barroso, Goran Stipcich, Daniel Jiménez-López, José Antonio Ruiz-Millán, Eugenio Martínez-Cámara, Gerardo González-Seco, María Victoria Luzón, Miguel Ángel Veganzones, Francisco Herrera
2020 J jnl
Federated Learning and Differential Privacy: Software tools analysis, the Sherpa.ai FL framework and methodological guidelines for preserving data privacy.
Inf. Fusion
Nuria Rodríguez Barroso, Goran Stipcich, Daniel Jiménez-López, José Antonio Ruiz-Millán, Eugenio Martínez-Cámara, Gerardo González-Seco, María Victoria Luzón, Miguel Angel Veganzones, Francisco Herrera
2020 J jnl
What do people think about this monument? Understanding negative reviews via deep learning, clustering and descriptive rules.
J. Ambient Intell. Humaniz. Comput.
Ana Valdivia, Eugenio Martínez-Cámara, Iti Chaturvedi, María Victoria Luzón, Erik Cambria, Yew-Soon Ong, Francisco Herrera
2019 J jnl
E
Inf. Sci.
Miguel López, Ana Valdivia, Eugenio Martínez-Cámara, María Victoria Luzón, Francisco Herrera
2019 J jnl
Inconsistencies on TripAdvisor reviews: A unified index between users and Sentiment Analysis Methods.
Neurocomputing
Ana Valdivia, Emiliya Hrabova, Iti Chaturvedi, María Victoria Luzón, Luigi Troiano, Erik Cambria, Francisco Herrera
2018 J jnl
Consensus vote models for detecting and filtering neutrality in sentiment analysis.
Inf. Fusion
Ana Valdivia, María Victoria Luzón, Erik Cambria, Francisco Herrera
2017 B conf
Neutrality in the sentiment analysis problem based on fuzzy majority.
FUZZ-IEEE
Ana Valdivia, María Victoria Luzón, Francisco Herrera
2017 J jnl
Sentiment Analysis in TripAdvisor.
IEEE Intell. Syst.
Ana Valdivia, María Victoria Luzón, Francisco Herrera
2017 Misc conf
Sentiment Analysis on TripAdvisor: Are There Inconsistencies in User Reviews?
HAIS
Ana Valdivia, María Victoria Luzón, Francisco Herrera
2014 J jnl
Automatic parameter tuning for Evolutionary Algorithms using a Bayesian Case-Based Reasoning system.
Appl. Soft Comput.
Enrique Yeguas, María Victoria Luzón, Reyes Pavón, Rosalía Laza, Germán Arroyo, Fernando Díaz
2013 J jnl
Design of cultural heritage information systems based on information layers.
ACM Journal on Computing and Cultural Heritage
Francisco Soler, Juan Carlos Torres, Alejandro J. León, María Victoria Luzón
2012 — conf
Design of an Information System for Cultural Heritage.
CEIG
Francisco Soler, Juan Carlos Torres, Alejandro J. León, María Victoria Luzón
2011 — conf
A Model for Flexible Tools Used in Minimally Invasive Medical Virtual Environments.
MMVR
Francisco Soler, María Victoria Luzón, Serban R. Pop, Chris J. Hughes, Nigel W. John, Juan Carlos Torres
2011 J jnl
Modeling the Performance of Evolutionary Algorithms on the Root Identification Problem: A Case Study with PBIL and CHC Algorithms.
Evol. Comput.
Enrique Yeguas, Robert Joan-Arinyo, María Victoria Luzón
2011 J jnl
Parameter tuning of PBIL and CHC evolutionary algorithms applied to solve the Root Identification Problem.
Appl. Soft Comput.
Robert Joan-Arinyo, María Victoria Luzón, Enrique Yeguas
2011 J jnl
Scale-Dependent and Example-Based Grayscale Stippling.
Comput. Graph.
Domingo Martín, Germán Arroyo, María Victoria Luzón, Tobias Isenberg
2010 B conf
A stochastic approach to simulate artists behaviour for automatic felt-tipped stippling.
IEEE Congress on Evolutionary Computation
Germán Arroyo, Domingo Martín, María Victoria Luzón
2010 — conf
Example-Based Stippling using a Scale-Dependent Grayscale Process.
NPAR
Domingo Martín, Germán Arroyo, María Victoria Luzón, Tobias Isenberg
2010 J jnl
Experimental evaluation of an automatic parameter setting system.
Expert Syst. Appl.
Reyes Pavón, Fernando Díaz, Rosalía Laza, María Victoria Luzón
2009 Misc conf
A Multi-Agent System Approach for Algorithm Parameter Tuning.
PAAMS
Reyes Pavón, Daniel Glez-Peña, Rosalía Laza, Fernando Díaz, María Victoria Luzón
2009 J jnl
Automatic parameter tuning with a Bayesian case-based reasoning system. A case of study.
Expert Syst. Appl.
Reyes Pavón, Fernando Díaz, Rosalía Laza, María Victoria Luzón
2009 — conf
Generación estocástica de puntos para técnicas de punteado automático.
CEIG
Germán Arroyo, Domingo Martín, María Victoria Luzón
2008 J jnl
A model for parameter setting based on Bayesian networks.
Eng. Appl. Artif. Intell.
Reyes Pavón, Fernando Díaz, María Victoria Luzón
2008 — conf
Parameter Tuning for PBIL Algorithm in Geometric Constraint Solving Systems.
GEM
Robert Joan-Arinyo, María Victoria Luzón, Enrique Yeguas
2008 — conf
Visualización Mediante Punteado de Monumentos y Restos Arqueológicos Escaneados.
CEIG
Domingo Martín, Germán Arroyo, María Victoria Luzón
2006 Misc conf
An adjustment model in a geometric constraint solving problem.
SAC
Reyes Pavón, Fernando Díaz, María Victoria Luzón
2005 J jnl
Searching the Solution Space in Constructive Geometric Constraint Solving with Genetic Algorithms.
Appl. Intell.
María Victoria Luzón, Antoni Soto-Riera, Juan F. Gálvez, Robert Joan-Arinyo
2004 Misc conf
GA and CHC. Two Evolutionary Algorithms to Solve the Root Identification Problem in Geometric Constraint Solving.
International Conference on Computational Science
María Victoria Luzón, Enrique Barreiro, Enrique Yeguas, Robert Joan-Arinyo
2003 J jnl
Genetic algorithms for root multiselection in constructive geometric constraint solving.
Comput. Graph.
Robert Joan-Arinyo, María Victoria Luzón, Antoni Soto-Riera
2002 A conf
Constructive Geometric Constraint Solving: A New Application of Genetic Algorithms.
PPSN
Robert Joan-Arinyo, María Victoria Luzón, Antoni Soto-Riera