nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
A framework for semi-supervised metric transfer learning on manifolds
|
Sanodiya, Rakesh Kumar |
|
2019 |
176 |
C |
p. 1-14 |
artikel |
2 |
A neural model for type classification of entities for text
|
Li, Qi |
|
2019 |
176 |
C |
p. 122-132 |
artikel |
3 |
Autoencoder-based personalized ranking framework unifying explicit and implicit feedback for accurate top-N recommendation
|
Chae, Dong-Kyu |
|
2019 |
176 |
C |
p. 110-121 |
artikel |
4 |
Average Restrain Divider of Evaluation Value (ARDEV) in data stream algorithm for big data prediction
|
Wibisono, Ari |
|
2019 |
176 |
C |
p. 29-39 |
artikel |
5 |
Editorial Board
|
|
|
2019 |
176 |
C |
p. ii |
artikel |
6 |
Expected consistency-based emergency decision making with incomplete probabilistic linguistic preference relations
|
Gao, Jie |
|
2019 |
176 |
C |
p. 15-28 |
artikel |
7 |
Incremental C-Rank: An effective and efficient ranking algorithm for dynamic Web environments
|
Koo, Jangwan |
|
2019 |
176 |
C |
p. 147-158 |
artikel |
8 |
Logistic regression, neural networks and Dempster–Shafer theory: A new perspective
|
Denœux, Thierry |
|
2019 |
176 |
C |
p. 54-67 |
artikel |
9 |
Multi-layer boosting sparse convolutional model for generalized nuclear segmentation from histopathology images
|
Song, Jie |
|
2019 |
176 |
C |
p. 40-53 |
artikel |
10 |
New fruit fly optimization algorithm with joint search strategies for function optimization problems
|
Wang, Lin |
|
2019 |
176 |
C |
p. 77-96 |
artikel |
11 |
OTLAMC: An Online Transfer Learning Algorithm for Multi-class Classification
|
Kang, Zhongfeng |
|
2019 |
176 |
C |
p. 133-146 |
artikel |
12 |
PatternFinder: Pattern discovery for truth discovery
|
Ye, Chen |
|
2019 |
176 |
C |
p. 97-109 |
artikel |
13 |
Sentiment-aware volatility forecasting
|
Xing, Frank Z. |
|
2019 |
176 |
C |
p. 68-76 |
artikel |