nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
An overview of air quality analysis by big data techniques: Monitoring, forecasting, and traceability
|
Huang, Wei |
|
|
75 |
C |
p. 28-40 |
artikel |
2 |
A review of state-of-the-art in Face Presentation Attack Detection: From early development to advanced deep learning and multi-modal fusion methods
|
Abdullakutty, Faseela |
|
|
75 |
C |
p. 55-69 |
artikel |
3 |
Attribute filter based infrared and visible image fusion
|
Mo, Yan |
|
|
75 |
C |
p. 41-54 |
artikel |
4 |
Corrigendum to “Reciprocal Recommender Systems: Analysis of state-of-art literature, challenges and opportunities towards social recommendation” Information Fusion Volume 69 (2020) 103-127
|
Palomares, Iván |
|
|
75 |
C |
p. 101 |
artikel |
5 |
Editorial Board
|
|
|
|
75 |
C |
p. ii-iii |
artikel |
6 |
F-PENN— Forest path encoding for neural networks
|
Cohen, Yoni |
|
|
75 |
C |
p. 186-196 |
artikel |
7 |
Fusing functional connectivity with network nodal information for sparse network pattern learning of functional brain networks
|
Zhu, Xiaofeng |
|
|
75 |
C |
p. 131-139 |
artikel |
8 |
Managing manipulative and non-cooperative behaviors in large scale group decision making based on a WeChat-like interaction network
|
Li, Shengli |
|
|
75 |
C |
p. 1-15 |
artikel |
9 |
Mobile edge-enabled trust evaluation for the Internet of Things
|
Wang, Tian |
|
|
75 |
C |
p. 90-100 |
artikel |
10 |
Multi-attribute group decision making with opinion dynamics based on social trust network
|
Li, Yanhong |
|
|
75 |
C |
p. 102-115 |
artikel |
11 |
Multi-source brain computing with systematic fusion for smart health
|
Kuai, Hongzhi |
|
|
75 |
C |
p. 150-167 |
artikel |
12 |
Pay attention to doctor–patient dialogues: Multi-modal knowledge graph attention image-text embedding for COVID-19 diagnosis
|
Zheng, Wenbo |
|
|
75 |
C |
p. 168-185 |
artikel |
13 |
Probabilistic observation model correction using non-Gaussian belief fusion
|
Steckenrider, J. Josiah |
|
|
75 |
C |
p. 16-27 |
artikel |
14 |
Protein deep profile and model predictions for identifying the causal genes of male infertility based on deep learning
|
Xu, Fang |
|
|
75 |
C |
p. 70-89 |
artikel |
15 |
Risk Prediction of Diabetes: Big data mining with fusion of multifarious physical examination indicators
|
Yang, Hui |
|
|
75 |
C |
p. 140-149 |
artikel |
16 |
Unified framework for learning with label distribution
|
Liu, Xinyuan |
|
|
75 |
C |
p. 116-130 |
artikel |