Enislay Ramentol

Publication Activity (10 Years)

Years Active: 2012-2022
Publications (10 Years): 4

Top Topics

Imbalanced Datasets

Class Imbalance

Top Venues

Eng. Appl. Artif. Intell.

IEEE Trans. Fuzzy Syst.

Appl. Soft Comput.

Publications

Nico Weber, Patrick Holzer, Tania Jacob, Enislay Ramentol
Fed-DART and FACT: A solution for Federated Learning in a production environment. CoRR (2022)
Sahar Tahvili, Leo Hatvani, Enislay Ramentol, Rita Pimentel, Wasif Afzal, Francisco Herrera
A novel methodology to classify test cases using natural language processing and imbalanced learning. Eng. Appl. Artif. Intell. 95 (2020)
Chongsheng Zhang, Jingjun Bi, Shixin Xu, Enislay Ramentol, Gaojuan Fan, Baojun Qiao, Hamido Fujita
Multi-Imbalance: An open-source software for multi-class imbalance learning. Knowl. Based Syst. 174 (2019)
Enislay Ramentol, I. Gondres, S. Lajes, Rafael Bello, Yaile Caballero, Chris Cornelis, Francisco Herrera
Fuzzy-rough imbalanced learning for the diagnosis of High Voltage Circuit Breaker maintenance: The SMOTE-FRST-2T algorithm. Eng. Appl. Artif. Intell. 48 (2016)
Enislay Ramentol, Sarah Vluymans, Nele Verbiest, Yaile Caballero, Rafael Bello, Chris Cornelis, Francisco Herrera
IFROWANN: Imbalanced Fuzzy-Rough Ordered Weighted Average Nearest Neighbor Classification. IEEE Trans. Fuzzy Syst. 23 (5) (2015)
Nele Verbiest, Enislay Ramentol, Chris Cornelis, Francisco Herrera
Preprocessing noisy imbalanced datasets using SMOTE enhanced with fuzzy rough prototype selection. Appl. Soft Comput. 22 (2014)
Nele Verbiest, Enislay Ramentol, Chris Cornelis, Francisco Herrera
Improving SMOTE with Fuzzy Rough Prototype Selection to Detect Noise in Imbalanced Classification Data. IBERAMIA (2012)
Enislay Ramentol, Yaile Caballero, Rafael Bello, Francisco Herrera
SMOTE-RSB *: a hybrid preprocessing approach based on oversampling and undersampling for high imbalanced data-sets using SMOTE and rough sets theory. Knowl. Inf. Syst. 33 (2) (2012)