no |
title |
author |
magazine |
year |
volume |
issue |
page(s) |
type |
1 |
An efficient Bayesian network structure learning algorithm using the strategy of two-stage searches
|
Guo, Huiping |
|
|
24 |
5 |
p. 1087-1106 |
article |
2 |
A novel algorithm for searching frequent gradual patterns from an ordered data set
|
Lonlac, Jerry |
|
|
24 |
5 |
p. 1029-1042 |
article |
3 |
Autonomous self-evolving forecasting models for price movement in high frequency trading: Evidence from Taiwan
|
Huang, Chien-Feng |
|
|
24 |
5 |
p. 1175-1206 |
article |
4 |
Bayesian hierarchical K-means clustering
|
Liu, Yue |
|
|
24 |
5 |
p. 977-992 |
article |
5 |
Boosting meta-learning with simulated data complexity measures
|
Garcia, Luís P.F. |
|
|
24 |
5 |
p. 1011-1028 |
article |
6 |
Canal-LASSO: A sparse noise-resilient online linear regression model
|
Lei, Hejie |
|
|
24 |
5 |
p. 993-1010 |
article |
7 |
Could spatial features help the matching of textual data?
|
Fize, Jacques |
|
|
24 |
5 |
p. 1043-1064 |
article |
8 |
Editorial
|
|
|
|
24 |
5 |
p. 973-975 |
article |
9 |
Fourier neural networks: A comparative study
|
Uteuliyeva, Malika |
|
|
24 |
5 |
p. 1107-1120 |
article |
10 |
On the profitability and errors of predicted prices from deep learning via program trading
|
Tai, Lichen |
|
|
24 |
5 |
p. 1161-1173 |
article |
11 |
Recognition of speech emotion using custom 2D-convolution neural network deep learning algorithm
|
Zvarevashe, Kudakwashe |
|
|
24 |
5 |
p. 1065-1086 |
article |
12 |
Spatial-time motifs discovery
|
Borges, Heraldo |
|
|
24 |
5 |
p. 1121-1140 |
article |
13 |
Twitter sentiment analysis for the estimation of voting intention in the 2017 Chilean elections
|
Alegre Sepúlveda, Tomás |
|
|
24 |
5 |
p. 1141-1160 |
article |
14 |
W-Com2Vec: A topic-driven meta-path- based intra-community embedding for content-based heterogeneous information network
|
Pham, Phu |
|
|
24 |
5 |
p. 1207-1233 |
article |