| no |
title |
author |
magazine |
year |
volume |
issue |
page(s) |
type |
| 1 |
A multiple hierarchical clustering ensemble algorithm to recognize clusters arbitrarily shaped
|
Sun, Yuqin
|
|
|
26 |
5 |
p. 1211-1228
|
article
|
| 2 |
An approach for unsupervised contextual anomaly detection and characterization
|
Boukela, Lynda
|
|
|
26 |
5 |
p. 1185-1209
|
article
|
| 3 |
An improvement of FDR for edge detection by applying EM method
|
Kim, Eun-Gyoung
|
|
|
26 |
5 |
p. 1161-1184
|
article
|
| 4 |
A novel approach to energy-aware resource management: Toward green NOMA heterogeneous networks
|
Nabipour, Mohammad
|
|
|
26 |
5 |
p. 1379-1402
|
article
|
| 5 |
Editorial
|
|
|
|
26 |
5 |
p. 1115-1117
|
article
|
| 6 |
Evaluating semantic representations for extended association rules
|
Gutiérrez Espinoza, Luis
|
|
|
26 |
5 |
p. 1341-1357
|
article
|
| 7 |
From undirected dependence to directed causality: A novel Bayesian learning approach
|
Wang, Limin
|
|
|
26 |
5 |
p. 1275-1302
|
article
|
| 8 |
Generate qualified adversarial attacks and foster enhanced models based on generative adversarial networks
|
He, Junpeng
|
|
|
26 |
5 |
p. 1359-1377
|
article
|
| 9 |
Identification of informational and probabilistic independence by adaptive thresholding
|
Li, Kuo
|
|
|
26 |
5 |
p. 1139-1160
|
article
|
| 10 |
IMLBoost for intelligent diagnosis with imbalanced medical records
|
Liu, Tongtong
|
|
|
26 |
5 |
p. 1303-1320
|
article
|
| 11 |
Influence maximization based on network representation learning in social network
|
Wang, Zhibin
|
|
|
26 |
5 |
p. 1321-1340
|
article
|
| 12 |
Label noise detection under the noise at random model with ensemble filters
|
Moura, Kecia G.
|
|
|
26 |
5 |
p. 1119-1138
|
article
|
| 13 |
LAMB: A novel algorithm of label collaboration based multi-label learning
|
Zhang, Yi
|
|
|
26 |
5 |
p. 1229-1245
|
article
|
| 14 |
Modeling the combined influence of complexity and quality in supervised learning
|
de Ávila Mendes, Renê
|
|
|
26 |
5 |
p. 1247-1274
|
article
|
| 15 |
Robust intuitionistic fuzzy clustering with bias field estimation for noisy image segmentation
|
Zhao, Feng
|
|
|
26 |
5 |
p. 1403-1426
|
article
|
Journal description