Amelia Zafra

60 papers A 1B 4C 6Misc 3Journal 36Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
A two-stage framework for early failure detection in predictive maintenance: A case study on metro trains.
Neurocomputing
Luis Toribio, Bruno Veloso, João Gama, Amelia Zafra
2026 J jnl
MIHT: A Hoeffding Tree for Time Series Classification using Multiple Instance Learning.
CoRR
Aurora Esteban, Amelia Zafra, Sebastián Ventura
2025 J jnl
Deep Learning in Multiple Instance Learning: Methods, Applications, and Research Trends.
IEEE Access
Mustafa A. Jalil, Amelia Zafra
2025 — conf
Explainable Multi-fault Predictive Maintenance Through Analysis of Wrong Predictions.
IDEAL (2)
Aurora Esteban, Aurora Ramírez, Carlos García-Martínez, Amelia Zafra
2025 — conf
MIHT: A Hoeffding Tree for Time Series Classification Using Multiple Instance Learning.
IDEAL (1)
Aurora Esteban, Amelia Zafra, Sebastián Ventura
2025 J jnl
Simultaneous fault prediction in evolving industrial environments with ensembles of Hoeffding adaptive trees.
Appl. Intell.
Aurora Esteban, Alberto Cano, Sebastián Ventura, Amelia Zafra
2024 J jnl
A survey of genetic algorithms for clustering: Taxonomy and empirical analysis.
Swarm Evol. Comput.
Hermes Robles-Berumen, Amelia Zafra, Sebastián Ventura
2024 — conf
Early Failure Detection for Air Production Unit in Metro Trains.
HAIS (1)
Amelia Zafra, Bruno Veloso, João Gama
2024 J jnl
Helping university students to choose elective courses by using a hybrid multi-criteria recommendation system with genetic optimization.
CoRR
Aurora Esteban, Amelia Zafra, Cristóbal Romero
2024 J jnl
Hoeffding adaptive trees for multi-label classification on data streams.
CoRR
Aurora Esteban, Alberto Cano, Amelia Zafra, Sebastián Ventura
2024 J jnl
Hoeffding adaptive trees for multi-label classification on data streams.
Knowl. Based Syst.
Aurora Esteban, Alberto Cano, Amelia Zafra, Sebastián Ventura
2024 J jnl
MIML library: a Modular and Flexible Library for Multi-instance Multi-label Learning.
CoRR
Álvaro Belmonte, Amelia Zafra, Eva Gibaja
2023 Misc conf
A Novel Genetic Algorithm with Specialized Genetic Operators for Clustering.
HAIS
Hermes Robles-Berumen, Amelia Zafra, Sebastián Ventura
2023 J jnl
An algorithm based on fuzzy ordinal classification to predict students' academic performance.
Appl. Intell.
Juan Carlos Gámez-Granados, Aurora Esteban, Francisco J. Rodríguez-Lozano, Amelia Zafra
2023 J jnl
Nearest neighbor-based approaches for multi-instance multi-label classification.
Expert Syst. Appl.
Amelia Zafra, Eva Gibaja
2022 J jnl
Data mining in predictive maintenance systems: A taxonomy and systematic review.
WIREs Data Mining Knowl. Discov.
Aurora Esteban, Amelia Zafra, Sebastián Ventura
2022 J jnl
MIML library: A modular and flexible library for multi-instance multi-label learning.
Neurocomputing
Álvaro Belmonte, Amelia Zafra, Eva Gibaja
2022 J jnl
Ying Bi, Bing Xue, Mengjie Zhang: Genetic programming for image classification - an automated approach to feature learning.
Genet. Program. Evolvable Mach.
Amelia Zafra
2020 B conf
A Preliminary Study on Evolutionary Clustering for Multiple Instance Learning.
CEC
Aurora Esteban, Amelia Zafra, Sebastián Ventura
2020 J jnl
Helping university students to choose elective courses by using a hybrid multi-criteria recommendation system with genetic optimization.
Knowl. Based Syst.
Aurora Esteban, Amelia Zafra, Cristóbal Romero
2019 J jnl
LEAC: An efficient library for clustering with evolutionary algorithms.
Knowl. Based Syst.
Hermes Robles-Berumen, Amelia Zafra, Habib M. Fardoun, Sebastián Ventura
2018 B conf
A Hybrid Multi-Criteria approach using a Genetic Algorithm for Recommending Courses to University Students.
EDM
Aurora Esteban, Amelia Zafra, Cristóbal Romero
2016 — book
Multiple Instance Learning - Foundations and Algorithms
Francisco Herrera, Sebastián Ventura, Rafael Bello, Chris Cornelis, Amelia Zafra, Dánel Sánchez Tarragó, Sarah Vluymans
2015 J jnl
A classification module for genetic programming algorithms in JCLEC.
J. Mach. Learn. Res.
Alberto Cano, José María Luna, Amelia Zafra, Sebastián Ventura
2015 J jnl
Speeding up multiple instance learning classification rules on GPUs.
Knowl. Inf. Syst.
Alberto Cano, Amelia Zafra, Sebastián Ventura
2014 J jnl
Parallel evaluation of Pittsburgh rule-based classifiers on GPUs.
Neurocomputing
Alberto Cano, Amelia Zafra, Sebastián Ventura
2013 B conf
A Grammar-Guided Genetic Programming Algorithm for Multi-Label Classification.
EuroGP
Alberto Cano, Amelia Zafra, Eva Lucrecia Gibaja Galindo, Sebastián Ventura
2013 J jnl
An interpretable classification rule mining algorithm.
Inf. Sci.
Alberto Cano, Amelia Zafra, Sebastián Ventura
2013 J jnl
Association rule mining using genetic programming to provide feedback to instructors from multiple-choice quiz data.
Expert Syst. J. Knowl. Eng.
Cristóbal Romero, Amelia Zafra, José María Luna, Sebastián Ventura
2013 J jnl
DRAL: a tool for discovering relevant e-activities for learners.
Knowl. Inf. Syst.
Amelia Zafra, Cristóbal Romero, Sebastián Ventura
2013 J jnl
HyDR-MI: A hybrid algorithm to reduce dimensionality in multiple instance learning.
Inf. Sci.
Amelia Zafra, Mykola Pechenizkiy, Sebastián Ventura
2013 J jnl
Web usage mining for predicting final marks of students that use Moodle courses.
Comput. Appl. Eng. Educ.
Cristóbal Romero, Pedro G. Espejo, Amelia Zafra, José Raúl Romero, Sebastián Ventura
2013 J jnl
Weighted Data Gravitation Classification for Standard and Imbalanced Data.
IEEE Trans. Cybern.
Alberto Cano, Amelia Zafra, Sebastián Ventura
2012 J jnl
Multi-instance genetic programming for predicting student performance in web based educational environments.
Appl. Soft Comput.
Amelia Zafra, Sebastián Ventura
2012 J jnl
Multi-objective approach based on grammar-guided genetic programming for solving multiple instance problems.
Soft Comput.
Amelia Zafra, Sebastián Ventura
2012 J jnl
ReliefF-MI: An extension of ReliefF to multiple instance learning.
Neurocomputing
Amelia Zafra, Mykola Pechenizkiy, Sebastián Ventura
2012 J jnl
Speeding up the evaluation phase of GP classification algorithms on GPUs.
Soft Comput.
Alberto Cano, Amelia Zafra, Sebastián Ventura
2011 J jnl
A Gene Expression Programming Algorithm for Multi-Label Classification.
J. Multiple Valued Log. Soft Comput.
José Luis Ávila-Jiménez, Eva Lucrecia Gibaja Galindo, Amelia Zafra, Sebastián Ventura
2011 — conf
A Parallel Genetic Programming Algorithm for Classification.
HAIS (1)
Alberto Cano, Amelia Zafra, Sebastián Ventura
2011 C conf
An EP algorithm for learning highly interpretable classifiers.
ISDA
Alberto Cano, Amelia Zafra, Sebastián Ventura
2011 J jnl
Multiple Instance Learning with Multiple Objective Genetic Programming for Web Mining.
Appl. Soft Comput.
Amelia Zafra, Eva Lucrecia Gibaja Galindo, Sebastián Ventura
2011 J jnl
Multiple instance learning for classifying students in learning management systems.
Expert Syst. Appl.
Amelia Zafra, Cristóbal Romero, Sebastián Ventura
2010 C conf
Feature selection is the ReliefF for multiple instance learning.
ISDA
Amelia Zafra, Mykola Pechenizkiy, Sebastián Ventura
2010 J jnl
G3P-MI: A genetic programming algorithm for multiple instance learning.
Inf. Sci.
Amelia Zafra, Sebastián Ventura
2010 A conf
Grammar guided genetic programming for multiple instance learning: an experimental study.
GECCO
Amelia Zafra, Sebastián Ventura
2010 — conf
Reducing Dimensionality in Multiple Instance Learning with a Filter Method.
HAIS (2)
Amelia Zafra, Mykola Pechenizkiy, Sebastián Ventura
2010 — conf
Solving Classification Problems Using Genetic Programming Algorithms on GPUs.
HAIS (2)
Alberto Cano, Amelia Zafra, Sebastián Ventura
2010 — conf
Web Usage Mining for Improving Students Performance in Learning Management Systems.
IEA/AIE (3)
Amelia Zafra, Sebastián Ventura
2009 Misc conf
A Comparison of Multi-objective Grammar-Guided Genetic Programming Methods to Multiple Instance Learning.
HAIS
Amelia Zafra, Sebastián Ventura
2009 C conf
A Niching Algorithm to Learn Discriminant Functions with Multi-Label Patterns.
IDEAL
José Luis Ávila-Jiménez, Eva Lucrecia Gibaja Galindo, Amelia Zafra, Sebastián Ventura
2009 J jnl
Applying Web usage mining for personalizing hyperlinks in Web-based adaptive educational systems.
Comput. Educ.
Cristóbal Romero, Sebastián Ventura, Amelia Zafra, Paul De Bra
2009 — ch.
Multi-Instance Learning with MultiObjective Genetic Programming.
Encyclopedia of Data Warehousing and Mining
Amelia Zafra
2009 J jnl
Multi-instance genetic programming for web index recommendation.
Expert Syst. Appl.
Amelia Zafra, Cristóbal Romero, Sebastián Ventura, Enrique Herrera-Viedma
2009 C conf
Predicting Academic Achievement Using Multiple Instance Genetic Programming.
ISDA
Amelia Zafra, Cristóbal Romero, Sebastián Ventura
2009 B conf
Predicting Student Grades in Learning Management Systems with Multiple Instance Learning Genetic Programming.
EDM
Amelia Zafra, Sebastián Ventura
2008 J jnl
JCLEC: a Java framework for evolutionary computation.
Soft Comput.
Sebastián Ventura, Cristóbal Romero, Amelia Zafra, José Antonio Delgado, César Hervás
2008 C conf
Multiple Instance Learning with MultiObjective Genetic Programming for Web Mining.
HIS
Amelia Zafra, Eva Lucrecia Gibaja Galindo, Sebastián Ventura
2007 — conf
Multi-objective Genetic Programming for Multiple Instance Learning.
ECML
Amelia Zafra, Sebastián Ventura
2007 Misc conf
Multiple Instance Learning with Genetic Programming for Web Mining.
IWANN
Amelia Zafra, Sebastián Ventura, Enrique Herrera-Viedma, Cristóbal Romero
2006 C conf
Improving the User-System Interaction in a Web Multi-agent System Using Fuzzy Multi-granular Linguistic Information.
FQAS
Enrique Herrera-Viedma, Carlos Porcel, Antonio Gabriel López-Herrera, Sergio Alonso, Amelia Zafra