Profil Dr. Enislay Ramentol

Schwerpunkte/Kompetenzen

  • Maschinelles Lernen mit Fokus auf Imbalanced Learning
  • Wissensbasiertes System/Intelligentes System
  • Unsicherheitsmanagement bei Klassifizierungsproblemen
  • Rough Set und Fuzzy Rough Set Theorie

 

Publikationen

Highlightpublikationen

  • Ramentol, E.; Zhang, C.; Bi, J.; Xu, S.; Fan, G.; Qiao, B.:
    Multi-Imbalance: An open-source software for multi-class imbalance learning.
    Knowledge-Based Systems, Vol. 174, 137-143 (2019).
  • Ramentol, E.; Gondres, S.; Lajes, S.; Bello, R.; Caballero, Y.; Cornelis, C.; Herrera, F.:
    Fuzzy-rough imbalanced learning for the diagnosis of High Voltage Circuit Breaker maintenance: The SMOTE-FRST-2T algorithm.
    Engineering Applications of Artificial Intelligence, Vol. 48, 134-139 (2016).
  • Ramentol, E.; Vluymans, S.; Verbiest, N.; Caballero, Y.; Bello, R.; Cornelis, C.; Herrera, F.:
    IFROWANN: Imbalanced Fuzzy-Rough Ordered Weighted Average Nearest Neighbor Classification.
    IEEE Trans. Fuzzy Systems, Vol. 23(5), 1622-1637 (2015).
  • Ramentol, E.; Verbiest, N.; Cornelis, C.; Herrera, F.:
    Preprocessing noisy imbalanced datasets using SMOTE enhanced with fuzzy rough prototype selection.
    Applied Soft Computing, Vol. 22, 511-517 (2014).
  • Ramentol, E.; Caballero, Y.; Bello, R.; Herrera, F.:
    SMOTE-RSB*: a hybrid preprocessing approach based on oversampling and undersampling for high imbalanced data-sets using SMOTE and rough sets theory.
    Knowledge and Information Systems, Vol. 33(2), 245-265 (2012).

Fraunhofer Publica

Sammlung der Publikationen von Enislay Ramentol Martinez

Jahr
Year
Titel/Autor:in
Title/Author
Publikationstyp
Publication Type
2023 Short-Term Air Pollution Forecasting Using Embeddings in Neural Networks
Ramentol, Enislay; Grimm, Stefanie; Stinzendörfer, Moritz; Wagner, Andreas
Zeitschriftenaufsatz
Journal Article
2021 A data-driven approach for predicting long-term degradation of a fleet of micro gas turbines
Olsson, Tomas; Ramentol, Enislay; Rahman, Moksadur; Oostveen, Mark; Kyprianidis, Konstantinos
Zeitschriftenaufsatz
Journal Article
2021 Machine Learning Models for Industrial Applications
Ramentol, Enislay; Olsson, Tomas; Barua, Shaibal
Aufsatz in Buch
Book Article
2020 Short- and long-term forecasting of electricity prices using embedding of calendar information in neural networks
Ramentol, Enislay; Schirra, Florian; Wagner, Andreas
Paper
2020 A novel methodology to classify test cases using natural language processing and imbalanced learning
Tahvili, S.; Hatvani, L.; Ramentol, E.; Pimentel, R.; Afzal, W.; Herrera, F.
Zeitschriftenaufsatz
Journal Article
Diese Liste ist ein Auszug aus der Publikationsplattform Fraunhofer-Publica

This list has been generated from the publication platform Fraunhofer-Publica