nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
A multiple hierarchical clustering ensemble algorithm to recognize clusters arbitrarily shaped
|
Sun, Yuqin |
|
|
26 |
5 |
p. 1211-1228 |
artikel |
2 |
An approach for unsupervised contextual anomaly detection and characterization
|
Boukela, Lynda |
|
|
26 |
5 |
p. 1185-1209 |
artikel |
3 |
An improvement of FDR for edge detection by applying EM method
|
Kim, Eun-Gyoung |
|
|
26 |
5 |
p. 1161-1184 |
artikel |
4 |
A novel approach to energy-aware resource management: Toward green NOMA heterogeneous networks
|
Nabipour, Mohammad |
|
|
26 |
5 |
p. 1379-1402 |
artikel |
5 |
Editorial
|
|
|
|
26 |
5 |
p. 1115-1117 |
artikel |
6 |
Evaluating semantic representations for extended association rules
|
Gutiérrez Espinoza, Luis |
|
|
26 |
5 |
p. 1341-1357 |
artikel |
7 |
From undirected dependence to directed causality: A novel Bayesian learning approach
|
Wang, Limin |
|
|
26 |
5 |
p. 1275-1302 |
artikel |
8 |
Generate qualified adversarial attacks and foster enhanced models based on generative adversarial networks
|
He, Junpeng |
|
|
26 |
5 |
p. 1359-1377 |
artikel |
9 |
Identification of informational and probabilistic independence by adaptive thresholding
|
Li, Kuo |
|
|
26 |
5 |
p. 1139-1160 |
artikel |
10 |
IMLBoost for intelligent diagnosis with imbalanced medical records
|
Liu, Tongtong |
|
|
26 |
5 |
p. 1303-1320 |
artikel |
11 |
Influence maximization based on network representation learning in social network
|
Wang, Zhibin |
|
|
26 |
5 |
p. 1321-1340 |
artikel |
12 |
Label noise detection under the noise at random model with ensemble filters
|
Moura, Kecia G. |
|
|
26 |
5 |
p. 1119-1138 |
artikel |
13 |
LAMB: A novel algorithm of label collaboration based multi-label learning
|
Zhang, Yi |
|
|
26 |
5 |
p. 1229-1245 |
artikel |
14 |
Modeling the combined influence of complexity and quality in supervised learning
|
de Ávila Mendes, Renê |
|
|
26 |
5 |
p. 1247-1274 |
artikel |
15 |
Robust intuitionistic fuzzy clustering with bias field estimation for noisy image segmentation
|
Zhao, Feng |
|
|
26 |
5 |
p. 1403-1426 |
artikel |