Amelia Zafra

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 13

Top Topics

Nearest Neighbor

Multiple Instance

Ordinal Classification

Evolutionary Clustering

Top Venues

Knowl. Based Syst.

WIREs Data Mining Knowl. Discov.

Publications

Álvaro Belmonte, Amelia Zafra, Eva Gibaja
MIML library: a Modular and Flexible Library for Multi-instance Multi-label Learning. CoRR (2024)
Hermes Robles-Berumen, Amelia Zafra, Sebastián Ventura
A Novel Genetic Algorithm with Specialized Genetic Operators for Clustering. HAIS (2023)
Juan Carlos Gámez-Granados, Aurora Esteban, Francisco J. Rodríguez-Lozano, Amelia Zafra
An algorithm based on fuzzy ordinal classification to predict students' academic performance. Appl. Intell. 53 (22) (2023)
Amelia Zafra, Eva Gibaja
Nearest neighbor-based approaches for multi-instance multi-label classification. Expert Syst. Appl. 232 (2023)
Aurora Esteban, Amelia Zafra, Sebastián Ventura
Data mining in predictive maintenance systems: A taxonomy and systematic review. WIREs Data Mining Knowl. Discov. 12 (5) (2022)
Álvaro Belmonte, Amelia Zafra, Eva Gibaja
MIML library: A modular and flexible library for multi-instance multi-label learning. Neurocomputing 500 (2022)
Amelia Zafra
Ying Bi, Bing Xue, Mengjie Zhang: Genetic programming for image classification - an automated approach to feature learning. Genet. Program. Evolvable Mach. 23 (4) (2022)
Aurora Esteban, Amelia Zafra, Cristóbal Romero
Helping university students to choose elective courses by using a hybrid multi-criteria recommendation system with genetic optimization. Knowl. Based Syst. 194 (2020)
Aurora Esteban, Amelia Zafra, Sebastián Ventura
A Preliminary Study on Evolutionary Clustering for Multiple Instance Learning. CEC (2020)
Hermes Robles-Berumen, Amelia Zafra, Habib M. Fardoun, Sebastián Ventura
LEAC: An efficient library for clustering with evolutionary algorithms. Knowl. Based Syst. 179 (2019)
Aurora Esteban, Amelia Zafra, Cristóbal Romero
A Hybrid Multi-Criteria approach using a Genetic Algorithm for Recommending Courses to University Students. EDM (2018)
Alberto Cano, José María Luna, Amelia Zafra, Sebastián Ventura
A classification module for genetic programming algorithms in JCLEC. J. Mach. Learn. Res. 16 (2015)
Alberto Cano, Amelia Zafra, Sebastián Ventura
Speeding up multiple instance learning classification rules on GPUs. Knowl. Inf. Syst. 44 (1) (2015)
Alberto Cano, Amelia Zafra, Sebastián Ventura
Parallel evaluation of Pittsburgh rule-based classifiers on GPUs. Neurocomputing 126 (2014)
Amelia Zafra, Cristóbal Romero, Sebastián Ventura
DRAL: a tool for discovering relevant e-activities for learners. Knowl. Inf. Syst. 36 (1) (2013)
Cristóbal Romero, Amelia Zafra, José María Luna, Sebastián Ventura
Association rule mining using genetic programming to provide feedback to instructors from multiple-choice quiz data. Expert Syst. J. Knowl. Eng. 30 (2) (2013)
Alberto Cano, Amelia Zafra, Sebastián Ventura
Weighted Data Gravitation Classification for Standard and Imbalanced Data. IEEE Trans. Cybern. 43 (6) (2013)
Cristóbal Romero, Pedro G. Espejo, Amelia Zafra, José Raúl Romero, Sebastián Ventura
Web usage mining for predicting final marks of students that use Moodle courses. Comput. Appl. Eng. Educ. 21 (1) (2013)
Alberto Cano, Amelia Zafra, Eva Lucrecia Gibaja Galindo, Sebastián Ventura
A Grammar-Guided Genetic Programming Algorithm for Multi-Label Classification. EuroGP (2013)
Alberto Cano, Amelia Zafra, Sebastián Ventura
An interpretable classification rule mining algorithm. Inf. Sci. 240 (2013)
Amelia Zafra, Mykola Pechenizkiy, Sebastián Ventura
HyDR-MI: A hybrid algorithm to reduce dimensionality in multiple instance learning. Inf. Sci. 222 (2013)
Amelia Zafra, Sebastián Ventura
Multi-instance genetic programming for predicting student performance in web based educational environments. Appl. Soft Comput. 12 (8) (2012)
Alberto Cano, Amelia Zafra, Sebastián Ventura
Speeding up the evaluation phase of GP classification algorithms on GPUs. Soft Comput. 16 (2) (2012)
Amelia Zafra, Mykola Pechenizkiy, Sebastián Ventura
ReliefF-MI: An extension of ReliefF to multiple instance learning. Neurocomputing 75 (1) (2012)
Amelia Zafra, Sebastián Ventura
Multi-objective approach based on grammar-guided genetic programming for solving multiple instance problems. Soft Comput. 16 (6) (2012)
Amelia Zafra, Eva Lucrecia Gibaja Galindo, Sebastián Ventura
Multiple Instance Learning with Multiple Objective Genetic Programming for Web Mining. Appl. Soft Comput. 11 (1) (2011)
Alberto Cano, Amelia Zafra, Sebastián Ventura
An EP algorithm for learning highly interpretable classifiers. ISDA (2011)
Alberto Cano, Amelia Zafra, Sebastián Ventura
A Parallel Genetic Programming Algorithm for Classification. HAIS (1) (2011)
José Luis Ávila-Jiménez, Eva Lucrecia Gibaja Galindo, Amelia Zafra, Sebastián Ventura
A Gene Expression Programming Algorithm for Multi-Label Classification. J. Multiple Valued Log. Soft Comput. 17 (2-3) (2011)
Amelia Zafra, Cristóbal Romero, Sebastián Ventura
Multiple instance learning for classifying students in learning management systems. Expert Syst. Appl. 38 (12) (2011)
Amelia Zafra, Sebastián Ventura
Grammar guided genetic programming for multiple instance learning: an experimental study. GECCO (2010)
Amelia Zafra, Mykola Pechenizkiy, Sebastián Ventura
Feature selection is the ReliefF for multiple instance learning. ISDA (2010)
Amelia Zafra, Sebastián Ventura
G3P-MI: A genetic programming algorithm for multiple instance learning. Inf. Sci. 180 (23) (2010)
Alberto Cano, Amelia Zafra, Sebastián Ventura
Solving Classification Problems Using Genetic Programming Algorithms on GPUs. HAIS (2) (2010)
Amelia Zafra, Mykola Pechenizkiy, Sebastián Ventura
Reducing Dimensionality in Multiple Instance Learning with a Filter Method. HAIS (2) (2010)
Amelia Zafra, Sebastián Ventura
Web Usage Mining for Improving Students Performance in Learning Management Systems. IEA/AIE (3) (2010)
Cristóbal Romero, Sebastián Ventura, Amelia Zafra, Paul De Bra
Applying Web usage mining for personalizing hyperlinks in Web-based adaptive educational systems. Comput. Educ. 53 (3) (2009)
Amelia Zafra, Sebastián Ventura
A Comparison of Multi-objective Grammar-Guided Genetic Programming Methods to Multiple Instance Learning. HAIS (2009)
Amelia Zafra, Cristóbal Romero, Sebastián Ventura, Enrique Herrera-Viedma
Multi-instance genetic programming for web index recommendation. Expert Syst. Appl. 36 (9) (2009)
José Luis Ávila-Jiménez, Eva Lucrecia Gibaja Galindo, Amelia Zafra, Sebastián Ventura
A Niching Algorithm to Learn Discriminant Functions with Multi-Label Patterns. IDEAL (2009)
Amelia Zafra, Cristóbal Romero, Sebastián Ventura
Predicting Academic Achievement Using Multiple Instance Genetic Programming. ISDA (2009)
Amelia Zafra, Sebastián Ventura
Predicting Student Grades in Learning Management Systems with Multiple Instance Learning Genetic Programming. EDM (2009)
Sebastián Ventura, Cristóbal Romero, Amelia Zafra, Jose Antonio Delgado, César Hervás
JCLEC: a Java framework for evolutionary computation. Soft Comput. 12 (4) (2008)
Amelia Zafra, Eva Lucrecia Gibaja Galindo, Sebastián Ventura
Multiple Instance Learning with MultiObjective Genetic Programming for Web Mining. HIS (2008)
Amelia Zafra, Sebastián Ventura, Enrique Herrera-Viedma, Cristóbal Romero
Multiple Instance Learning with Genetic Programming for Web Mining. IWANN (2007)
Amelia Zafra, Sebastián Ventura
Multi-objective Genetic Programming for Multiple Instance Learning. ECML (2007)
Enrique Herrera-Viedma, Carlos Porcel, Antonio Gabriel López-Herrera, Sergio Alonso, Amelia Zafra
Improving the User-System Interaction in a Web Multi-agent System Using Fuzzy Multi-granular Linguistic Information. FQAS (2006)