Cordon, I., Luengo, J., García López, S., Herrera Triguero, F., & Charte Ojeda, F. (2019). Smartdata: Data preprocessing to achieve smart data in R. Neurocomputing, 360, 1-13. https://doi.org/10.1016/j.neucom.2019.06.006 (Original work published 2019)
Preprocessing
Viedma, D. T., Rivera Rivas, A. J., Charte Ojeda, F., & del Jesus Díaz, M. J. (2019). A First Approximation to the Effects of Classical Time Series Preprocessing Methods on LSTM Accuracy. 270-280. https://doi.org/10.1007/978-3-030-20521-8_23 (Original work published 2019)
Cano De Amo, J. R., Luengo, J., & García López, S. (2019). Label noise filtering techniques to improve monotonic classification. Neurocomputing, 353, 83-95. https://doi.org/10.1016/j.neucom.2018.05.131 (Original work published 2019)
Fernández, A., López, V., Galar, M., del Jesus Díaz, M. J., Herrera Triguero, F., & BV, E. S. (2013). Analysing the classification of imbalanced data-sets with multiple classes: Binarization techniques and ad-hoc approaches. Knowledge-Based Systems, 42, 97-110. https://doi.org/10.1016/j.knosys.2013.01.018