Constructive Geometric Constraint Solving: A New Application of Genetic Algorithms. - Robert Joan-Arinyo; María Victoria Luzón; Antoni Soto-Riera (PPSN, 2002)

Genetic algorithms for root multiselection in constructive geometric constraint solving. - Robert Joan-Arinyo; María Victoria Luzón; Antoni Soto-Riera (Comput. Graph., 2003)

GA and CHC. Two Evolutionary Algorithms to Solve the Root Identification Problem in Geometric Constraint Solving. - María Victoria Luzón; Enrique Barreiro; Enrique Yeguas; Robert Joan-Arinyo (International Conference on Computational Science, 2004)

Searching the Solution Space in Constructive Geometric Constraint Solving with Genetic Algorithms. - María Victoria Luzón; Antoni Soto-Riera; Juan F. Gálvez; Robert Joan-Arinyo (Appl. Intell., 2005)

An adjustment model in a geometric constraint solving problem. - Reyes Pavón 001; Fernando Díaz 001; María Victoria Luzón (SAC, 2006)

Visualización Mediante Punteado de Monumentos y Restos Arqueológicos Escaneados. - Domingo Martín; Germán Arroyo; María Victoria Luzón (CEIG, 2008)

Parameter Tuning for PBIL Algorithm in Geometric Constraint Solving Systems. - Robert Joan-Arinyo; María Victoria Luzón; Enrique Yeguas (GEM, 2008)

A model for parameter setting based on Bayesian networks. - Reyes Pavón 001; Fernando Díaz 001; María Victoria Luzón (Eng. Appl. Artif. Intell., 2008)

Generación estocástica de puntos para técnicas de punteado automático. - Germán Arroyo; Domingo Martín; María Victoria Luzón (CEIG, 2009)

A Multi-Agent System Approach for Algorithm Parameter Tuning. - Reyes Pavón 001; Daniel Glez-Peña; Rosalía Laza; Fernando Díaz 001; María Victoria Luzón (PAAMS, 2009)

Automatic parameter tuning with a Bayesian case-based reasoning system. A case of study. - Reyes Pavón 001; Fernando Díaz 001; Rosalía Laza; María Victoria Luzón (Expert Syst. Appl., 2009)

A stochastic approach to simulate artists behaviour for automatic felt-tipped stippling. - Germán Arroyo; Domingo Martín; María Victoria Luzón (IEEE Congress on Evolutionary Computation, 2010)

Example-Based Stippling using a Scale-Dependent Grayscale Process. - Domingo Martín; Germán Arroyo; María Victoria Luzón; Tobias Isenberg 001 (NPAR, 2010)

Experimental evaluation of an automatic parameter setting system. - Reyes Pavón 001; Fernando Díaz 001; Rosalía Laza; María Victoria Luzón (Expert Syst. Appl., 2010)

A Model for Flexible Tools Used in Minimally Invasive Medical Virtual Environments. - Francisco Soler; María Victoria Luzón; Serban R. Pop; Chris J. Hughes; Nigel W. John; Juan Carlos Torres 001 (MMVR, 2011)

Parameter tuning of PBIL and CHC evolutionary algorithms applied to solve the Root Identification Problem. - Robert Joan-Arinyo; María Victoria Luzón; Enrique Yeguas (Appl. Soft Comput., 2011)

Scale-Dependent and Example-Based Grayscale Stippling. - Domingo Martín; Germán Arroyo; María Victoria Luzón; Tobias Isenberg 001 (Comput. Graph., 2011)

Modeling the Performance of Evolutionary Algorithms on the Root Identification Problem: A Case Study with PBIL and CHC Algorithms. - Enrique Yeguas; Robert Joan-Arinyo; María Victoria Luzón (Evol. Comput., 2011)

Design of an Information System for Cultural Heritage. - Francisco Soler; Juan Carlos Torres 001; Alejandro J. León; María Victoria Luzón (CEIG, 2012)

Design of cultural heritage information systems based on information layers. - Francisco Soler; Juan Carlos Torres 001; Alejandro J. León; María Victoria Luzón (ACM Journal on Computing and Cultural Heritage, 2013)

Automatic parameter tuning for Evolutionary Algorithms using a Bayesian Case-Based Reasoning system. - Enrique Yeguas; María Victoria Luzón; Reyes Pavón 001; Rosalía Laza; Germán Arroyo; Fernando Díaz 001 (Appl. Soft Comput., 2014)

Neutrality in the sentiment analysis problem based on fuzzy majority. - Ana Valdivia; María Victoria Luzón; Francisco Herrera (FUZZ-IEEE, 2017)

Sentiment Analysis on TripAdvisor: Are There Inconsistencies in User Reviews? - Ana Valdivia; María Victoria Luzón; Francisco Herrera (HAIS, 2017)

Sentiment Analysis in TripAdvisor. - Ana Valdivia; María Victoria Luzón; Francisco Herrera (IEEE Intell. Syst., 2017)

Consensus vote models for detecting and filtering neutrality in sentiment analysis. - Ana Valdivia; María Victoria Luzón; Erik Cambria; Francisco Herrera (Inf. Fusion, 2018)

Inconsistencies on TripAdvisor reviews: A unified index between users and Sentiment Analysis Methods. - Ana Valdivia; Emiliya Hrabova; Iti Chaturvedi; María Victoria Luzón; Luigi Troiano; Erik Cambria; Francisco Herrera (Neurocomputing, 2019)

E2SAM: Evolutionary ensemble of sentiment analysis methods for domain adaptation. - Miguel López; Ana Valdivia; Eugenio Martínez-Cámara; María Victoria Luzón; Francisco Herrera (Inf. Sci., 2019)

Dynamic Federated Learning Model for Identifying Adversarial Clients. - Nuria Rodríguez Barroso; Eugenio Martínez-Cámara; María Victoria Luzón; Gerardo González-Seco; Miguel Ángel Veganzones; Francisco Herrera (CoRR, 2020)

Enhancing the classification of social media opinions by optimizing the structural information. - Carla Vairetti; Eugenio Martínez-Cámara; Sebastián Maldonado; María Victoria Luzón; Francisco Herrera (Future Gener. Comput. Syst., 2020)

Federated Learning and Differential Privacy: Software tools analysis, the Sherpa.ai FL framework and methodological guidelines for preserving data privacy. - 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 (Inf. Fusion, 2020)

What do people think about this monument? Understanding negative reviews via deep learning, clustering and descriptive rules. - Ana Valdivia; Eugenio Martínez-Cámara; Iti Chaturvedi; María Victoria Luzón; Erik Cambria; Yew-Soon Ong; Francisco Herrera (J. Ambient Intell. Humaniz. Comput., 2020)

ADOPS: Aspect Discovery OPinion Summarisation Methodology based on deep learning and subgroup discovery for generating explainable opinion summaries. - Miguel López; Eugenio Martínez-Cámara; María Victoria Luzón; Francisco Herrera (Knowl. Based Syst., 2021)

Dynamic defense against byzantine poisoning attacks in federated learning. - Nuria Rodríguez Barroso; Eugenio Martínez-Cámara; María Victoria Luzón; Francisco Herrera (Future Gener. Comput. Syst., 2022)

Backdoor attacks-resilient aggregation based on Robust Filtering of Outliers in federated learning for image classification. - Nuria Rodríguez Barroso; Eugenio Martínez-Cámara; María Victoria Luzón; Francisco Herrera (Knowl. Based Syst., 2022)

Can we infer the presence of Differential Privacy in Deep Learning models' weights? Towards more secure Deep Learning. - Daniel Jiménez-López; Nuria Rodríguez Barroso; María Victoria Luzón; Francisco Herrera (CoRR, 2023)

Survey on federated learning threats: Concepts, taxonomy on attacks and defences, experimental study and challenges. - Nuria Rodríguez Barroso; Daniel Jiménez-López; María Victoria Luzón; Francisco Herrera; Eugenio Martínez-Cámara (Inf. Fusion, 2023)

Defense Strategy against Byzantine Attacks in Federated Machine Learning: Developments towards Explainability. - Nuria Rodríguez Barroso; Javier Del Ser; María Victoria Luzón; Francisco Herrera (FUZZ, 2024)

RAB2-DEF: Dynamic and explainable defense against adversarial attacks in Federated Learning to fair poor clients. - Nuria Rodríguez Barroso; María Victoria Luzón; Francisco Herrera (CoRR, 2024)

Federated Learning for Exploiting Annotators' Disagreements in Natural Language Processing. - Nuria Rodríguez Barroso; Eugenio Martínez Cámara; José Camacho-Collados; María Victoria Luzón; Francisco Herrera (Trans. Assoc. Comput. Linguistics, 2024)

A Tutorial on Federated Learning from Theory to Practice: Foundations, Software Frameworks, Exemplary Use Cases, and Selected Trends. - María Victoria Luzón; Nuria Rodríguez Barroso; Alberto Argente-Garrido; Daniel Jiménez-López; Jose M. Moyano; Javier Del Ser; Weiping Ding 001; Francisco Herrera (IEEE CAA J. Autom. Sinica, 2024)

FLEX: Flexible Federated Learning Framework. - Francisco Herrera; Daniel Jiménez-López; Alberto Argente-Garrido; Nuria Rodríguez Barroso; Cristina Zuheros; Ignacio Aguilera-Martos; Beatriz Bello; Mario García-Márquez; María Victoria Luzón (Inf. Fusion, 2025)

An interpretable client decision tree aggregation process for federated learning. - Alberto Argente-Garrido; Cristina Zuheros; María Victoria Luzón; Francisco Herrera (Inf. Sci., 2025)

Improving (α,f)-Byzantine resilience in federated learning via layerwise aggregation and cosine distance. - Mario García-Márquez; Nuria Rodríguez Barroso; María Victoria Luzón; Francisco Herrera (Knowl. Based Syst., 2025)

Krum Federated Chain (KFC): Using blockchain to defend against adversarial attacks in Federated Learning. - Mario García-Márquez; Nuria Rodríguez Barroso; María Victoria Luzón; Francisco Herrera (CoRR, 2025)

Membership Inference Attacks fueled by Few-Short Learning to detect privacy leakage tackling data integrity. - Daniel Jiménez-López; Nuria Rodríguez Barroso; María Victoria Luzón; Francisco Herrera (CoRR, 2025)

Addressing Data Quality Decompensation in Federated Learning via Dynamic Client Selection. - Qinjun Fei; Nuria Rodríguez Barroso; María Victoria Luzón; Zhongliang Zhang; Francisco Herrera (CoRR, 2025)

Challenges of Trustworthy Federated Learning: What's Done, Current Trends and Remaining Work. - Nuria Rodríguez Barroso; Mario García-Márquez; María Victoria Luzón; Francisco Herrera (CoRR, 2025)