Amelia Zafra Gómez

Contacto

azafra@ucKY5L6Fo.es

Organismo

UCO

Researcher Profile

Total Desde 2019:
Citas Total: 2566 Desde 2019: 1134
Índice H Total: 24 Desde 2019: 16
Índice i10 Total: 36 Desde 2019: 19

Publicaciones (100)

Título Autores Año
A survey of genetic algorithms for clustering: Taxonomy and empirical analysis H Robles-Berumen, A Zafra, S Ventura. 2024
Early Failure Detection for Air Production Unit in Metro Trains A Zafra, B Veloso, J Gama. 2024
Hoeffding adaptive trees for multi-label classification on data streams A Esteban, A Cano, A Zafra, S Ventura. 2024
Nearest neighbor-based approaches for multi-instance multi-label classification A Zafra, E Gibaja. 2023
A Novel Genetic Algorithm with Specialized Genetic Operators for Clustering H Robles-Berumen, A Zafra, S Ventura. 2023
An algorithm based on fuzzy ordinal classification to predict students’ academic performance JC Gámez-Granados, A Esteban, FJ Rodriguez-Lozano, A Zafra. 2023
MIML library: a Modular and Flexible Library for Multi-instance Multi-label Learning Á Belmonte, A Zafra, E Gibaja. 2022
Data mining in predictive maintenance systems: A taxonomy and systematic review A Esteban, A Zafra, S Ventura. 2022
Ying Bi, Bing Xue, Mengjie Zhang: Genetic programming for image classification—an automated approach to feature learning A Zafra. 2022
Ying Bi, Bing Xue, Mengjie Zhang: Genetic programming for image classification—an automated approach to feature learning: Springer, Switzerland, 2021, 258 pp,(Hardcover), ISBN … A Zafra. 2022
Interactive learning and formative assessment in the classroom using quizziz A Zafra, E Gibaja, M Luque. 2022
Assignments as Influential Factor to Improve the Prediction of Student Performance in Online Courses A Esteban, C Romero, A Zafra. 2021
Estudio comparativo de medidas de disimilitud para Clustering Multi-Instancia A Esteban, A Zafra, S Ventura. 2021
A Preliminary Study on Evolutionary Clustering for Multiple Instance Learning A Esteban, A Zafra, S Ventura. 2020
Aprendizaje basado en proyectos interuniversitarios y entre titulaciones para la adquisición de competencias transversales y específicas FJ Rodriguez Lozano, M Martínez Rojas, A Zafra Gómez, .... 2020
LEAC: An efficient library for clustering with evolutionary algorithms H Robles-Berumen, A Zafra, HM Fardoun, S Ventura. 2019
Aplicación de técnicas de aprendizaje activo a la enseñanza de la programación de ordenadores E Gibaja, M Luque, A Zafra. 2019
Helping university students to choose elective courses by using a hybrid multi-criteria recommendation system with genetic optimization A Esteban, A Zafra, C Romero. 2019
A Hybrid Multi-Criteria Approach Using a Genetic Algorithm for Recommending Courses to University Students. A Esteban, A Zafra, C Romero. 2018
Propuesta metodológica para motivar a los estudiantes en el estudio de las Redes de Computadores A Zafra, E Gibaja, M Luque, L Toribio. 2018
Aplicación móvil para la recomendación de asignaturas en los estudios de grado universitario A Zafra, E Gibaja, JC Gámez, JM Soto, A Arauzo, JM Moyano, A Ramírez, .... 2018
Learning Programming by applied activities: an example with topics of Operating Systems E Gibaja, M Luque, A Zafra. 2018
Un Sistema de Recomendación de Asignaturas Multi-Criterio con Optimización Genética A Esteban, A Zafra, C Romero. 2018
Una librerıa para el aprendizaje Multi-instancia Multi-etiqueta A Belmonte, A Zafra, E Gibaja, S Ventura. 2018
Whatsubject: recomendador de asignaturas en los grados universitarios A Zafra, E Gibaja, M Luque. 2017
Multiple instance learning F Herrera, S Ventura, R Bello, C Cornelis, A Zafra, D Sánchez-Tarragó, .... 2016
Multiple Instance Multiple Label Learning F Herrera, S Ventura, R Bello, C Cornelis, A Zafra, D Sánchez-Tarragó, .... 2016
Multi-instance regression F Herrera, S Ventura, R Bello, C Cornelis, A Zafra, D Sánchez-Tarragó, .... 2016
Data Reduction F Herrera, S Ventura, R Bello, C Cornelis, A Zafra, D Sánchez-Tarragó, .... 2016
Bag-Based Classification Methods F Herrera, S Ventura, R Bello, C Cornelis, A Zafra, D Sánchez-Tarragó, .... 2016
Multi-instance Classification F Herrera, S Ventura, R Bello, C Cornelis, A Zafra, D Sánchez-Tarragó, .... 2016
Instance-Based Classification Methods F Herrera, S Ventura, R Bello, C Cornelis, A Zafra, D Sánchez-Tarragó, .... 2016
Imbalanced Multi-instance Data F Herrera, S Ventura, R Bello, C Cornelis, A Zafra, D Sánchez-Tarragó, .... 2016
Unsupervised Multiple Instance Learning F Herrera, S Ventura, R Bello, C Cornelis, A Zafra, D Sánchez-Tarragó, .... 2016
Speeding up multiple instance learning classification rules on GPUs A Cano, A Zafra, S Ventura. 2015
A classification module for genetic programming algorithms in JCLEC. A Cano, JM Luna, A Zafra, S Ventura. 2015
Certificación profesional como herramienta formativa en Grado en Ingeniería Informática en la Escuela Politécnica Superior de Córdoba JM Palomares Muñoz, JC Gámez Granados, J Gómez Luna, .... 2015
A classification module for genetic programming algorithms in JCLEC A Cano, JM Luna, A Zafra, S Ventura Soto. 2014
Parallel evaluation of Pittsburgh rule-based classifiers on GPUs A Cano, A Zafra, S Ventura. 2014
Introducción a la Programación. Metodología y experiencia de evaluación tras la implantación del EEES E Gibaja, M Luque, A Zafra, S Ventura. 2014
ExportQuiz: Módulo de Moodle para exportar cuestionarios a ficheros de texto A Zafra, E Gibaja, M Luque, S Ventura. 2014
Proyecto de innovación docente para la autoevaluación y mejora de la metodología docente usando encuestas personalizadas en Moodle. MAL Lao, EG Galindo, AZ Gómez, SV Soto. 2014
Web usage mining for predicting final marks of students that use Moodle courses C Romero, PG Espejo, A Zafra, JR Romero, S Ventura. 2013
Weighted data gravitation classification for standard and imbalanced data A Cano, A Zafra, S Ventura. 2013
Association rule mining using genetic programming to provide feedback to instructors from multiple‐choice quiz data C Romero, A Zafra, JM Luna, S Ventura. 2013
An interpretable classification rule mining algorithm A Cano, A Zafra, SN Ventura. 2013
HyDR-MI: A hybrid algorithm to reduce dimensionality in multiple instance learning A Zafra, M Pechenizkiy, S Ventura. 2013
DRAL: a tool for discovering relevant e-activities for learners A Zafra, C Romero, S Ventura. 2013
A grammar-guided genetic programming algorithm for multi-label classification A Cano, A Zafra, EL Gibaja, S Ventura. 2013
Experiencia en el grado en ingeniería informática para reforzar conceptos algebraicos a través de la programación de ordenadores E Gibaja, A Zafra, M Luque, S Ventura. 2013
Diseño de aplicaciones cliente/servidor para el aprendizaje de las tecnologías de comunicación A Zafra, E Gibaja, M Luque, S Ventura. 2013
Número especial: II Jornadas Andaluzas de Informática C Molina, A Zafra, E Gibaja. 2013
Speeding up the evaluation phase of GP classification algorithms on GPUs A Cano, A Zafra, S Ventura. 2012
ReliefF-MI: An extension of ReliefF to multiple instance learning A Zafra, M Pechenizkiy, S Ventura. 2012
Multi-instance genetic programming for predicting student performance in web based educational environments A Zafra, SN Ventura. 2012
Multi-objective approach based on grammar-guided genetic programming for solving multiple instance problems A Zafra, S Ventura. 2012
Predicción del rendimiento académico en las nuevas titulaciones de grado de la EPS de la Universidad de Córdoba C Romero, A Zafra, E Gibaja, M Luque, S Ventura. 2012
ReliefF-MI: un método de selección de caracterısticas para aprendizaje con múltiples instancias A Zafra, S Ventura. 2012
Estudio de la clasificación de textos usando aprendizaje con múltiples instancias R Moral, A Zafra, S Ventura. 2012
Soft Computing Techniques in Data Mining. J Alcalá-Fdez, F Herrera, H Ishibuchi, Y Kaisho, Y Nojima, BC Chien, .... 2011
Multiple instance learning for classifying students in learning management systems A Zafra, C Romero, S Ventura. 2011
Multiple instance learning with multiple objective genetic programming for web mining A Zafra, EL Gibaja, S Ventura. 2011
A parallel genetic programming algorithm for classification A Cano, A Zafra, S Ventura. 2011
An EP algorithm for learning highly interpretable classifiers A Cano, A Zafra, S Ventura. 2011
A Gene Expression Programming Algorithm for Multi-Label Classification. JL Ávila, EL Gibaja, A Zafra, S Ventura. 2011
An Evaluation of the Effectiveness of e-learning system as Support for Traditional Classes A Zafra, E Gibaja, M Luque, S Ventura. 2011
Self-evaluation first ECTS course in a programming subject E Gibaja, A Zafra, M Luque, S Ventura. 2011
Consultas bipolares en bases de datos temporales: aplicación en bases de datos con datos históricos JE Pons, C Billiet, G De Tré, O Pons, E De Paermentier, J Deploige. 2011
Modelo gravitacional para clasificación A Cano, JM Luna, A Zafra, S Ventura. 2011
A gene expression programming algorithm for multi-label classification JL Ávila, EL Gibaja, A Zafra, S Ventura. 2011
G3P-MI: A genetic programming algorithm for multiple instance learning A Zafra, S Ventura. 2010
Solving classification problems using genetic programming algorithms on GPUs A Cano, A Zafra, S Ventura. 2010
Reducing dimensionality in multiple instance learning with a filter method A Zafra, M Pechenizkiy, S Ventura. 2010
Multi-instance learning versus singleinstance learning for predicting the student’s performance A Zafra, C Romero, S Ventura. 2010
Feature selection is the ReliefF for multiple instance learning A Zafra, M Pechenizkiy, S Ventura. 2010
Propuesta metodológica para la adaptación a las TICs de una asignatura dentro del marco del EEES E Gibaja, A Zafra, M Luque, S Ventura. 2010
Web usage mining for improving students performance in learning management systems A Zafra, S Ventura. 2010
Grammar guided genetic programming for multiple instance learning: an experimental study A Zafra, S Ventura. 2010
Speeding Up Evolutionary Learning Algorithms using GPUs A Cano, A Zafra, S Ventura Soto. 2010
Multi-Instance Learning versus Single-Instance Learning for Predicting the Student’s Performance A Zafra, C Romero, S Ventura. 2010
Multi-instance genetic programming for web index recommendation A Zafra, C Romero, S Ventura, E Herrera-Viedma. 2009
Applying Web usage mining for personalizing hyperlinks in Web-based adaptive educational systems C Romero, S Ventura, A Zafra, P De Bra. 2009
Predicting Student Grades in Learning Management Systems with Multiple Instance Genetic Programming. A Zafra, S Ventura. 2009
Predicting academic achievement using multiple instance genetic programming A Zafra, C Romero, S Ventura. 2009
A niching algorithm to learn discriminant functions with multi-label patterns JL Ávila, EL Gibaja, A Zafra, S Ventura. 2009
Modelos de programación genética gramatical para aprendizaje con múltiples instancias A Zafra. 2009
A Comparison of Multi-objective Grammar-Guided Genetic Programming Methods to Multiple Instance Learning A Zafra, S Ventura. 2009
Multi-Instance Learning with MultiObjective Genetic Programming A Zafra. 2009
JCLEC: a Java framework for evolutionary computation S Ventura, C Romero, A Zafra, JA Delgado, C Hervás. 2008
Modelling User Preferences with Multi-Instance Genetic Programming A Zafra, S Ventura. 2008
Multiple instance learning with genetic programming for web mining A Zafra, S Ventura, E Herrera-Viedma, C Romero. 2007
Multi-objective genetic programming for multiple instance learning A Zafra, S Ventura. 2007
Aprendizaje Multi-instancia con Programación Genética para Web Mining A Zafra, S Ventura, E Herrera-Viedma. 2007
Improving the user-system interaction in a web multi-agent system using fuzzy multi-granular linguistic information E Herrera-Viedma, C Porcel, AG Lopez-Herrera, S Alonso, A Zafra. 2006
User Modelling and Personalization-Improving the User-System Interaction in a Web Multi-agent System Using Fuzzy Multi-granular Linguistic Information E Herrera-Viedma, C Porcel, AG Lopez-Herrera, S Alonso, A Zafra. 2006
Using sequential pattern mining for links recommendation in adaptive hypermedia educational systems CR Morales, ARP Pérez, SV Soto, CH Martınez, A Zafra. 2006
Caracterización Automática de Perfiles de Usuarios basados en Consultas Lingüısticas Multigranulares usando un Algoritmo Genético Multiobjetivo M Luque, E Herrera-Viedma, O Cordón, A Zafra, AG López. 2006

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