Amelia Zafra
Amelia Zafra
Associate Professor of Computer Science, University of Cordoba
Patvirtintas el. paštas
Web usage mining for predicting final marks of students that use Moodle courses
C Romero, PG Espejo, A Zafra, JR Romero, S Ventura
Computer Applications in Engineering Education 21 (1), 135-146, 2013
Applying Web usage mining for personalizing hyperlinks in Web-based adaptive educational systems
C Romero, S Ventura, A Zafra, P De Bra
Computers & Education 53 (3), 828-840, 2009
JCLEC: a Java framework for evolutionary computation
S Ventura, C Romero, A Zafra, JA Delgado, C Hervás
Soft computing 12, 381-392, 2008
Weighted data gravitation classification for standard and imbalanced data
A Cano, A Zafra, S Ventura
IEEE transactions on cybernetics 43 (6), 1672-1687, 2013
Multiple instance learning
F Herrera, S Ventura, R Bello, C Cornelis, A Zafra, D Sánchez-Tarragó, ...
Multiple instance learning: foundations and algorithms, 17-33, 2016
Predicting Student Grades in Learning Management Systems with Multiple Instance Genetic Programming.
A Zafra, S Ventura
International working group on educational data mining, 2009
An interpretable classification rule mining algorithm
A Cano, A Zafra, S Ventura
Information Sciences 240, 1-20, 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
Expert Systems 30 (2), 162-172, 2013
Multiple instance learning for classifying students in learning management systems
A Zafra, C Romero, S Ventura
Expert Systems with Applications 38 (12), 15020-15031, 2011
Speeding up the evaluation phase of GP classification algorithms on GPUs
A Cano, A Zafra, S Ventura
Soft Computing 16, 187-202, 2012
Helping university students to choose elective courses by using a hybrid multi-criteria recommendation system with genetic optimization
A Esteban, A Zafra, C Romero
Knowledge-Based Systems 194, 105385, 2020
Multi-instance genetic programming for predicting student performance in web based educational environments
A Zafra, SN Ventura
Applied Soft Computing 12 (8), 2693-2706, 2012
ReliefF-MI: An extension of ReliefF to multiple instance learning
A Zafra, M Pechenizkiy, S Ventura
Neurocomputing 75 (1), 210-218, 2012
Multiple instance learning with multiple objective genetic programming for web mining
A Zafra, EL Gibaja, S Ventura
Applied Soft Computing 11 (1), 93-102, 2011
Multi-instance genetic programming for web index recommendation
A Zafra, C Romero, S Ventura, E Herrera-Viedma
Expert Systems with Applications 36 (9), 11470-11479, 2009
G3P-MI: A genetic programming algorithm for multiple instance learning
A Zafra, S Ventura
Information sciences 180 (23), 4496-4513, 2010
Speeding up multiple instance learning classification rules on GPUs
A Cano, A Zafra, S Ventura
Knowledge and information systems 44 (1), 127-145, 2015
Using sequential pattern mining for links recommendation in adaptive hypermedia educational systems
CR Morales, ARP Pérez, SV Soto, CH Martınez, A Zafra
Current Developments in Technology-Assisted Education 2, 1016-1020, 2006
A classification module for genetic programming algorithms in JCLEC.
A Cano, JM Luna, A Zafra, S Ventura
J. Mach. Learn. Res. 16 (1), 491-494, 2015
HyDR-MI: A hybrid algorithm to reduce dimensionality in multiple instance learning
A Zafra, M Pechenizkiy, S Ventura
Information sciences 222, 282-301, 2013
Sistema negali atlikti operacijos. Bandykite vėliau dar kartą.
Straipsniai 1–20