| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
Adaptive online extreme learning machine by regulating forgetting factor by concept drift map
|
Yu, Hualong
|
|
2019
|
343 |
C |
p. 141-153
|
artikel
|
| 2 |
A dynamic linear model for heteroscedastic LDA under class imbalance
|
Gyamfi, Kojo Sarfo
|
|
2019
|
343 |
C |
p. 65-75
|
artikel
|
| 3 |
An empirical study to investigate oversampling methods for improving software defect prediction using imbalanced data
|
Malhotra, Ruchika
|
|
2019
|
343 |
C |
p. 120-140
|
artikel
|
| 4 |
Boosting the performance of over-sampling algorithms through under-sampling the minority class
|
de Morais, Romero F.A.B.
|
|
2019
|
343 |
C |
p. 3-18
|
artikel
|
| 5 |
Cost-sensitive support vector machines
|
Iranmehr, Arya
|
|
2019
|
343 |
C |
p. 50-64
|
artikel
|
| 6 |
Covariate shift estimation based adaptive ensemble learning for handling non-stationarity in motor imagery related EEG-based brain-computer interface
|
Raza, Haider
|
|
2019
|
343 |
C |
p. 154-166
|
artikel
|
| 7 |
Editorial Board
|
|
|
2019
|
343 |
C |
p. ii-iii
|
artikel
|
| 8 |
Exploratory study on Class Imbalance and solutions for Network Traffic Classification
|
Gómez, Santiago Egea
|
|
2019
|
343 |
C |
p. 100-119
|
artikel
|
| 9 |
Learning in the presence of class imbalance and concept drift
|
Wang, Shuo
|
|
2019
|
343 |
C |
p. 1-2
|
artikel
|
| 10 |
Pre-processing approaches for imbalanced distributions in regression
|
Branco, Paula
|
|
2019
|
343 |
C |
p. 76-99
|
artikel
|
| 11 |
Radial-Based oversampling for noisy imbalanced data classification
|
Koziarski, Michał
|
|
2019
|
343 |
C |
p. 19-33
|
artikel
|
| 12 |
Twin Neural Networks for the classification of large unbalanced datasets
|
Jayadeva,
|
|
2019
|
343 |
C |
p. 34-49
|
artikel
|
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