Eva Gibaja

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 10

Top Topics

Multi Label Classification

Binary Classifiers

Learning Objects

Top Venues

Int. J. Comput. Intell. Syst.

ACM Comput. Surv.

J. Univers. Comput. Sci.

Publications

Álvaro Belmonte, Amelia Zafra, Eva Gibaja
MIML library: a Modular and Flexible Library for Multi-instance Multi-label Learning. CoRR (2024)
Amelia Zafra, Eva Gibaja
Nearest neighbor-based approaches for multi-instance multi-label classification. Expert Syst. Appl. 232 (2023)
Álvaro Belmonte, Amelia Zafra, Eva Gibaja
MIML library: A modular and flexible library for multi-instance multi-label learning. Neurocomputing 500 (2022)
Jose M. Moyano, Eva Gibaja, Krzysztof J. Cios, Sebastián Ventura
Combining multi-label classifiers based on projections of the output space using Evolutionary algorithms. Knowl. Based Syst. 196 (2020)
Jose M. Moyano, Eva Gibaja, Sebastián Ventura, Alberto Cano
Speeding Up Classifier Chains in Multi-label Classification. IoTBDS (2019)
Pedro G. Espejo, Eva Gibaja, Víctor H. Menéndez, Alfredo Zapata, Cristóbal Romero
Improving Multi-Label Classification for Learning Objects Categorization by Taking into Consideration Usage Information. J. Univers. Comput. Sci. 25 (13) (2019)
Cristóbal Romero, Pedro G. Espejo, Eva Gibaja, Alfredo Zapata Gonzalez, Víctor H. Menéndez
Towards Automatic Classification of Learning Objects: Reducing the Number of Used Features. EDM (2017)
Eva Gibaja, Jose M. Moyano, Sebastián Ventura
An ensemble-based approach for multi-view multi-label classification. Prog. Artif. Intell. 5 (4) (2016)
Eva Gibaja, Sebastián Ventura
A Tutorial on Multilabel Learning. ACM Comput. Surv. 47 (3) (2015)
Juan Luis Olmo, Cristóbal Romero, Eva Gibaja, Sebastián Ventura
Improving Meta-learning for Algorithm Selection by Using Multi-label Classification: A Case of Study with Educational Data Sets. Int. J. Comput. Intell. Syst. 8 (6) (2015)