María Victoria Luzón García

Contact

luzon@uk0@4iqnvPgr.es

Organization

UGR

Researcher Profile

Total From 2019:
Citas Total: 1408 From 2019: 1032
Índice H Total: 18 From 2019: 14
Índice i10 Total: 29 From 2019: 21

Papers (75)

Title Authors Year
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
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
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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