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Amelia Zafra
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Books and Theses
- 2016
- [b1]Francisco Herrera, Sebastián Ventura, Rafael Bello, Chris Cornelis, Amelia Zafra, Dánel Sánchez Tarragó, Sarah Vluymans:
Multiple Instance Learning - Foundations and Algorithms. Springer 2016, ISBN 978-3-319-47758-9, pp. 1-233
Journal Articles
- 2024
- [j28]Hermes Robles-Berumen, Amelia Zafra, Sebastián Ventura:
A survey of genetic algorithms for clustering: Taxonomy and empirical analysis. Swarm Evol. Comput. 91: 101720 (2024) - 2023
- [j27]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): 27537-27559 (2023) - [j26]Amelia Zafra, Eva Gibaja:
Nearest neighbor-based approaches for multi-instance multi-label classification. Expert Syst. Appl. 232: 120876 (2023) - 2022
- [j25]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): 589-590 (2022) - [j24]Álvaro Belmonte, Amelia Zafra, Eva Gibaja:
MIML library: A modular and flexible library for multi-instance multi-label learning. Neurocomputing 500: 632-636 (2022) - [j23]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) - 2020
- [j22]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: 105385 (2020) - 2019
- [j21]Hermes Robles-Berumen, Amelia Zafra, Habib M. Fardoun, Sebastián Ventura:
LEAC: An efficient library for clustering with evolutionary algorithms. Knowl. Based Syst. 179: 117-119 (2019) - 2015
- [j20]Alberto Cano, José María Luna, Amelia Zafra, Sebastián Ventura:
A classification module for genetic programming algorithms in JCLEC. J. Mach. Learn. Res. 16: 491-494 (2015) - [j19]Alberto Cano, Amelia Zafra, Sebastián Ventura:
Speeding up multiple instance learning classification rules on GPUs. Knowl. Inf. Syst. 44(1): 127-145 (2015) - 2014
- [j18]Alberto Cano, Amelia Zafra, Sebastián Ventura:
Parallel evaluation of Pittsburgh rule-based classifiers on GPUs. Neurocomputing 126: 45-57 (2014) - 2013
- [j17]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): 135-146 (2013) - [j16]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): 162-172 (2013) - [j15]Amelia Zafra, Mykola Pechenizkiy, Sebastián Ventura:
HyDR-MI: A hybrid algorithm to reduce dimensionality in multiple instance learning. Inf. Sci. 222: 282-301 (2013) - [j14]Alberto Cano, Amelia Zafra, Sebastián Ventura:
An interpretable classification rule mining algorithm. Inf. Sci. 240: 1-20 (2013) - [j13]Amelia Zafra, Cristóbal Romero, Sebastián Ventura:
DRAL: a tool for discovering relevant e-activities for learners. Knowl. Inf. Syst. 36(1): 211-250 (2013) - [j12]Alberto Cano, Amelia Zafra, Sebastián Ventura:
Weighted Data Gravitation Classification for Standard and Imbalanced Data. IEEE Trans. Cybern. 43(6): 1672-1687 (2013) - 2012
- [j11]Amelia Zafra, Sebastián Ventura:
Multi-instance genetic programming for predicting student performance in web based educational environments. Appl. Soft Comput. 12(8): 2693-2706 (2012) - [j10]Amelia Zafra, Mykola Pechenizkiy, Sebastián Ventura:
ReliefF-MI: An extension of ReliefF to multiple instance learning. Neurocomputing 75(1): 210-218 (2012) - [j9]Alberto Cano, Amelia Zafra, Sebastián Ventura:
Speeding up the evaluation phase of GP classification algorithms on GPUs. Soft Comput. 16(2): 187-202 (2012) - [j8]Amelia Zafra, Sebastián Ventura:
Multi-objective approach based on grammar-guided genetic programming for solving multiple instance problems. Soft Comput. 16(6): 955-977 (2012) - 2011
- [j7]Amelia Zafra, Eva Lucrecia Gibaja Galindo, Sebastián Ventura:
Multiple Instance Learning with Multiple Objective Genetic Programming for Web Mining. Appl. Soft Comput. 11(1): 93-102 (2011) - [j6]Amelia Zafra, Cristóbal Romero, Sebastián Ventura:
Multiple instance learning for classifying students in learning management systems. Expert Syst. Appl. 38(12): 15020-15031 (2011) - [j5]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): 183-206 (2011) - 2010
- [j4]Amelia Zafra, Sebastián Ventura:
G3P-MI: A genetic programming algorithm for multiple instance learning. Inf. Sci. 180(23): 4496-4513 (2010) - 2009
- [j3]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): 828-840 (2009) - [j2]Amelia Zafra, Cristóbal Romero, Sebastián Ventura, Enrique Herrera-Viedma:
Multi-instance genetic programming for web index recommendation. Expert Syst. Appl. 36(9): 11470-11479 (2009) - 2008
- [j1]Sebastián Ventura, Cristóbal Romero, Amelia Zafra, Jose Antonio Delgado, César Hervás:
JCLEC: a Java framework for evolutionary computation. Soft Comput. 12(4): 381-392 (2008)
Conference and Workshop Papers
- 2024
- [c20]Amelia Zafra, Bruno Veloso, João Gama:
Early Failure Detection for Air Production Unit in Metro Trains. HAIS (1) 2024: 339-351 - 2023
- [c19]Hermes Robles-Berumen, Amelia Zafra, Sebastián Ventura:
A Novel Genetic Algorithm with Specialized Genetic Operators for Clustering. HAIS 2023: 457-468 - 2020
- [c18]Aurora Esteban, Amelia Zafra, Sebastián Ventura:
A Preliminary Study on Evolutionary Clustering for Multiple Instance Learning. CEC 2020: 1-8 - 2018
- [c17]Aurora Esteban, Amelia Zafra, Cristóbal Romero:
A Hybrid Multi-Criteria approach using a Genetic Algorithm for Recommending Courses to University Students. EDM 2018 - 2013
- [c16]Alberto Cano, Amelia Zafra, Eva Lucrecia Gibaja Galindo, Sebastián Ventura:
A Grammar-Guided Genetic Programming Algorithm for Multi-Label Classification. EuroGP 2013: 217-228 - 2011
- [c15]Alberto Cano, Amelia Zafra, Sebastián Ventura:
A Parallel Genetic Programming Algorithm for Classification. HAIS (1) 2011: 172-181 - [c14]Alberto Cano, Amelia Zafra, Sebastián Ventura:
An EP algorithm for learning highly interpretable classifiers. ISDA 2011: 325-330 - 2010
- [c13]Amelia Zafra, Sebastián Ventura:
Grammar guided genetic programming for multiple instance learning: an experimental study. GECCO 2010: 909-916 - [c12]Alberto Cano, Amelia Zafra, Sebastián Ventura:
Solving Classification Problems Using Genetic Programming Algorithms on GPUs. HAIS (2) 2010: 17-26 - [c11]Amelia Zafra, Mykola Pechenizkiy, Sebastián Ventura:
Reducing Dimensionality in Multiple Instance Learning with a Filter Method. HAIS (2) 2010: 35-44 - [c10]Amelia Zafra, Sebastián Ventura:
Web Usage Mining for Improving Students Performance in Learning Management Systems. IEA/AIE (3) 2010: 439-449 - [c9]Amelia Zafra, Mykola Pechenizkiy, Sebastián Ventura:
Feature selection is the ReliefF for multiple instance learning. ISDA 2010: 525-532 - 2009
- [c8]Amelia Zafra, Sebastián Ventura:
Predicting Student Grades in Learning Management Systems with Multiple Instance Learning Genetic Programming. EDM 2009: 309-318 - [c7]Amelia Zafra, Sebastián Ventura:
A Comparison of Multi-objective Grammar-Guided Genetic Programming Methods to Multiple Instance Learning. HAIS 2009: 450-458 - [c6]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: 570-577 - [c5]Amelia Zafra, Cristóbal Romero, Sebastián Ventura:
Predicting Academic Achievement Using Multiple Instance Genetic Programming. ISDA 2009: 1120-1125 - 2008
- [c4]Amelia Zafra, Eva Lucrecia Gibaja Galindo, Sebastián Ventura:
Multiple Instance Learning with MultiObjective Genetic Programming for Web Mining. HIS 2008: 513-518 - 2007
- [c3]Amelia Zafra, Sebastián Ventura:
Multi-objective Genetic Programming for Multiple Instance Learning. ECML 2007: 790-797 - [c2]Amelia Zafra, Sebastián Ventura, Enrique Herrera-Viedma, Cristóbal Romero:
Multiple Instance Learning with Genetic Programming for Web Mining. IWANN 2007: 919-927 - 2006
- [c1]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: 390-403
Reference Works
- 2009
- [r1]Amelia Zafra:
Multi-Instance Learning with MultiObjective Genetic Programming. Encyclopedia of Data Warehousing and Mining 2009: 1372-1379
Informal and Other Publications
- 2024
- [i1]Álvaro Belmonte, Amelia Zafra, Eva Gibaja:
MIML library: a Modular and Flexible Library for Multi-instance Multi-label Learning. CoRR abs/2402.08056 (2024)
Coauthor Index
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