María Victoria Luzón García
Contact
luzon@ugeeNcPlFrqcaar.es
Organization
UGR| Total | From 2021: | |
|---|---|---|
| Citas | Total: 2143 | From 2021: 1536 |
| Índice H | Total: 20 | From 2021: 16 |
| Índice i10 | Total: 31 | From 2021: 22 |
Papers (86)
| Title | Authors | Year |
|---|---|---|
| Krum Federated Chain (KFC): Using blockchain to defend against adversarial attacks in Federated Learning | M García-Márquez, N Rodríguez-Barroso, M Luzón, F Herrera. | 2025 |
| Membership Inference Attacks fueled by Few-Short Learning to detect privacy leakage tackling data integrity | D Jiménez-López, N Rodríguez-Barroso, M Luzón, F Herrera. | 2025 |
| Improving -Byzantine Resilience in Federated Learning via layerwise aggregation and cosine distance | M García-Márquez, N Rodríguez-Barroso, M Luzón, F Herrera. | 2025 |
| Challenges of Trustworthy Federated Learning: What's Done, Current Trends and Remaining Work | N Rodríguez-Barroso, M García-Márquez, M Luzón, F Herrera. | 2025 |
| Membership Inference Attacks Fueled by Few-Shot Learning to Detect Privacy Leakage and Address Data Integrity | D Jiménez-López, N Rodríguez-Barroso, MV Luzón, J Del Ser, F Herrera. | 2025 |
| Green-EDP: aligning personalization in federated learning and green artificial intelligence throughout the encoder-decoder architecture | JA Ruiz-Millán, N Rodríguez-Barroso, MV Luzón. | 2025 |
| Improving (α, f)-Byzantine resilience in federated learning via layerwise aggregation and cosine distance | M García-Márquez, N Rodríguez-Barroso, MV Luzón, F Herrera. | 2025 |
| Addressing Data Quality Decompensation in Federated Learning via Dynamic Client Selection | Q Fei, N Rodríguez-Barroso, MV Luzón, Z Zhang, F Herrera. | 2025 |
| 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, .... | 2024 |
| An Interpretable Client Decision Tree Aggregation process for Federated Learning | A Argente-Garrido, C Zuheros, M Luzón, F Herrera. | 2024 |
| FLEX: FLEXible Federated Learning Framework | F Herrera, D Jiménez-López, A Argente-Garrido, N Rodríguez-Barroso, .... | 2024 |
| Federated Learning for Exploiting Annotators’ Disagreements in Natural Language Processing | N Rodríguez-Barroso, EM Cámara, JC Collados, MV Luzón, F Herrera. | 2024 |
| Defense Strategy against Byzantine Attacks in Federated Machine Learning: Developments towards Explainability | N Rodríguez-Barroso, J Del Ser, MV Luzón, F Herrera. | 2024 |
| RAB-DEF: Dynamic and explainable defense against adversarial attacks in Federated Learning to fair poor clients | N Rodríguez-Barroso, M Luzón, F Herrera. | 2024 |
| Personalised Federated Learning with BERT Fine Tuning. Case Study on Twitter Sentiment Analysis | JA Ruiz-Millán, E Martínez-Cámara, M Victoria Luzón, F Herrera. | 2022 |
| Survey on Federated Learning Threats: concepts, taxonomy on attacks and defences, experimental study and challenges | N Rodríguez-Barroso, DJ López, M Luzón, F Herrera, E Martínez-Cámara. | 2022 |
| 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. | 2022 |
| Survey on Federated Learning Threats: concepts, taxonomy on attacks and defences, experimental study and challenges. | NR Barroso, D Jiménez-López, MV Luzón, F Herrera, E Martínez-Cámara. | 2022 |
| on Twitter Sentiment Analysis | JA Ruiz-Millán, E Martínez-Cámara, MV Luzón. | 2022 |
| ADOPS: Aspect Discovery OPinion Summarisation Methodology based on deep learning and subgroup discovery for generating explainable opinion summaries | M López, E Martínez-Cámara, MV Luzón, F Herrera. | 2021 |
| Enhancing the classification of social media opinions by optimizing the structural information | C Vairetti, E Martínez-Cámara, S Maldonado, V Luzón, F Herrera. | 2020 |
| 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, .... | 2020 |
| Dynamic Federated Learning Model for Identifying Adversarial Clients | N Rodríguez-Barroso, E Martínez-Cámara, M Luzón, GG Seco, .... | 2020 |
| New research methods & algorithms in social network analysis | D Camacho, MV Luzón, E Cambria. | 2020 |
| New trends and applications in social media analytics | D Camacho, MV Luzón, E Cambria. | 2020 |
| Dynamic Federated Learning Model for Identifying Adversarial Clients. | NR Barroso, E Martínez-Cámara, MV Luzón, G González-Seco, .... | 2020 |
| Dynamic Defense Against Byzantine Poisoning Attacks in Federated Learning | N Rodríguez-Barroso, E Martínez-Cámara, M Luzón, F Herrera. | 2020 |
| E2SAM: Evolutionary Ensemble of Sentiment Analysis Methods for Domain Adaptation | M López, A Valdivia, E Martínez-Cámara, MV Luzón, F Herrera. | 2019 |
| 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, .... | 2019 |
| What do people think about this monument? Understanding negative reviews via deep learning, clustering and descriptive rules. J Ambient Intell Hum Comput | A Valdivia, SM Cámara, I Chaturvedi, MV Luzón, E Cambria, YS Ong, .... | 2019 |
| Resumiendo Opiniones Negativas con Deep Learning y Reglas Descriptivas | A Valdivia, E Martínez-Cámara, MV Luzón, F Herrera. | 2018 |
| 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, .... | 2018 |
| Consensus vote models for detecting and filtering neutrality in sentiment analysis | A Valdivia, MV Luzón, E Cambria, F Herrera. | 2018 |
| Resumiendo opiniones negativas con" Deep learning" y reglas descriptivas | AV Garcia, EM Cámara, VL García, F Herrera. | 2018 |
| Sentiment analysis in tripadvisor | A Valdivia, MV Luzón, F Herrera. | 2017 |
| A complete 3D information system for cultural heritage documentation | F Soler, FJ Melero, MV Luzón. | 2017 |
| Sentiment Analysis on TripAdvisor: Are There Inconsistencies in User Reviews? | A Valdivia, MV Luzón, F Herrera. | 2017 |
| Neutrality in the sentiment analysis problem based on fuzzy majority | A Valdivia, MV Luzón, F Herrera. | 2017 |
| AFFECTIVE COMPUTING AND SENTIMENT ANALYSIS Sentiment Analysis in TripAdvisor | E Cambria, A Valdivia, MV Luzón, F Herrera. | 2017 |
| 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. | 2014 |
| Design of cultural heritage information systems based on information layers | F Soler, JC Torres, AJ León, MV Luzón. | 2013 |
| Sistema de Información para Patrimonio Histórico | JC Torres, F Soler, P Cano, A León, V Luzón, D Martín. | 2012 |
| Design of an Information System for Cultural Heritage. | F Soler, JC Torres, AJ León, MV Luzón. | 2012 |
| Automatic Generation of Stippling Illustrations from two Photographs | G Arroyo, D Martín, MV Luzón. | 2012 |
| Requisitos de un Sistema de Información para Gestión de Patrimonio | MV Luzón, DM Perandrés, G Arroyo, JRL Rodríguez, JH Fimia, .... | 2012 |
| Scale-dependent and example-based grayscale stippling | D Martín, G Arroyo, MV Luzón, T Isenberg. | 2011 |
| Modeling the performance of evolutionary algorithms on the root identification problem: A case study with pbil and chc algorithms | E Yeguas, R Joan-Arinyo, M Victoria Luzón. | 2011 |
| Parameter tuning of PBIL and CHC evolutionary algorithms applied to solve the Root Identification Problem | R Joan-Arinyo, MV Luzón, E Yeguas. | 2011 |
| Generation of automatic stippling illustrations from photographs for documenting archaeological pieces | G Arroyo, D Martín, MV Luzón. | 2011 |
| A model for flexible tools used in minimally invasive medical virtual environments. | F Soler, MV Luzon, SR Pop, CJ Hughes, NW John, JC Torres. | 2011 |
| A model for flexible tools used in minimally invasive medical virtual environments | F Soler, M Luzon, SR Pop, CJ Hughes, NW John, JC Torres. | 2011 |
| Generation of automatic stippling illustrations fromphotographs for documenting archaeological pieces | G Arroyo, DM Perandrés, VL García. | 2011 |
| Example-based stippling using a scale-dependent grayscale process | D Martín, G Arroyo, M Luzón, T Isenberg. | 2010 |
| A stochastic approach to simulate artists behaviour for automatic felt-tipped stippling | G Arroyo, D Martín, MV Luzon. | 2010 |
| Stochastic generation of dots for computer aided stippling | G Arroyo, D Martín, MV Luzón. | 2010 |
| Experimental evaluation of an automatic parameter setting system | R Pavón, F Díaz, R Laza, MV Luzón. | 2010 |
| Performance of Evolutionary Algorithms on the Root Identification Problem in Geometric Constraint Solving | R Joan-Arinyo, MV Luzón, E Yeguas. | 2010 |
| Performance of Evolutionary Algorithms on the Root Identification Problem in Geometric Constrain Solving. | R Joan-Arinyo, MV Luzón, E Yeguas. | 2010 |
| Automatic parameter tuning with a Bayesian case-based reasoning system. A case of study | R Pavón, F Díaz, R Laza, V Luzón. | 2009 |
| Search space pruning to solve the root identification problem in geometric constraint solving | R Joan-Arinyo, MV Luzón, E Yeguas. | 2009 |
| A multi-agent system approach for algorithm parameter tuning | R Pavón, D Glez-Peña, R Laza, F Díaz, MV Luzón. | 2009 |
| The ORIENTA Platform: speech technologies for a tutoring assistant | Z Callejas, D Griol, A Anaya, E Barreiro, RA Carrasco, MV Luzón, .... | 2009 |
| A model to measure the performance of evolutionary algorithms applied to solve the root identification problem | R Joan Arinyo, MV Luzón, E Yeguas. | 2009 |
| Generación estocástica de puntos para técnicas de punteado automático | G Arroyo, D Martín, MV Luzón. | 2009 |
| Aplicación de las nuevas tecnologías para el desarrollo de un asistente en el proceso de tutorización | Z Callejas, D Griol, A Gutiérrez, A Anaya, E Barreiro, R Carrasco, .... | 2009 |
| Generación estocástica de puntos para técnicas de punteado automático. | G Arroyo, D Martín, MV Luzón. | 2009 |
| Optimización estadística de CHC para sistemas de resolución de restricciones geométricas | R Joan-Arinyo, MV Luzón, E Yeguas. | 2009 |
| Search Space Pruning to Solve the Root Identification Problem in Geometric Constraint Solving. | R Joan-Arinyo, MV Luzón, E Yeguas. | 2009 |
| A model for parameter setting based on Bayesian networks | R Pavón, F Díaz, V Luzón. | 2008 |
| Parameter tunning for PBIL algorithm in geometric constraint solving systems | R Joan Arinyo, MV Luzón, E YEGUAS BOLÍAVAR. | 2008 |
| Experimentos y análisis de resultados tras la aplicación de metaheurísticas al problema de la selección de la solución deseada | E Yeguas, MV Luzón, E Barreiro, R Joan Arinyo. | 2008 |
| Estudio e implementación de metaheurísticas para solucionar el problema de la selección de la solución deseada | E Yeguas, M Luzón, E Barreiro, R Joan-Arinyo. | 2008 |
| Visualización Mediante Punteado de Monumentos y Restos Arqueológicos Escaneados. | D Martín, G Arroyo, MV Luzón. | 2008 |
| Estudio e implementación de metaheurísticas para solucionar el problema de la selección deseada | E Yeguas, MV Luzón, E Barreiro, R Joan Arinyo. | 2008 |
| Experimentos y análisis de resultados tras la aplicación de metaheurısticas al problema de la selección de la solución deseada | E Yeguas, MV Luzón, E Barreiro, R Joan-Arinyo. | 2008 |
| Parameter tuning for PBIL and CHC algorithms to solve the root identification problem in geometric constraint solving | R Joan Arinyo, MV Luzón, E Yeguas. | 2007 |
| Ajuste, optimización y representación del rendimiento de PBIL y CHC aplicados al problema de la selección de la solución deseada | R Joan Arinyo, MV Luzón, E Yeguas. | 2007 |
| Predicción del rendimiento de CHC y PBIL aplicados al problema de la solución deseada | R Joan Arinyo, MV Luzón, E Yeguas. | 2007 |
| Distribución del tiempo de ejecución de las metaheurísticas PBIL y CHC aplicadas al problema de la selección de la solución deseada | R Joan Arinyo, MV Luzón, E Yeguas. | 2007 |
| An adjustment model in a geometric constraint solving problem | R Pavón, F Díaz, M Luzón. | 2006 |
| GA and CHC. Two evolutionary algorithms to solve the root identification problem in geometric constraint solving | MV Luzón, E Barreiro, E Yeguas, R Joan-Arinyo. | 2004 |
| Algoritmos genéticos en el problema de la solución deseada. optimización de parámetros | E Barreiro, R Joan Arinyo, MV Luzón. | 2004 |
| Part IV-Workshop on Computer Graphics and Geometric Modelling (CGGM 2004)-GA and CHC. Two Evolutionary Algorithms to Solve the Root Identification Problem in Geometric … | MV Luzon, E Barreiro, E Yeguas, R Joan-Arinyo. | 2004 |
| Genetic algorithms for root multiselection in constructive geometric constraint solving | R Joan-Arinyo, MV Luzón, A Soto. | 2003 |
| Searching the solution space in constructive geometric constraint solving with genetic algorithms | R Joan Arinyo, MV Luzón, A Soto Riera. | 2002 |
| Constructive geometric constraint solving: a new application of genetic algorithms | R Joan-Arinyo, MV Luzón, A Soto. | 2002 |
| Resolución de restricciones geométricas. selección de la solución deseada | MV Luzón. | 2001 |
| Compresión fractal | J Osuna, VL García, JLM Orge. | 1998 |
| Desarrollo de la herramienta autor: S-UV | JG Dacosta, VL García, MP Cota, AR Damián. | 1995 |
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