| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A general extensible learning approach for multi-disease recommendations in a telehealth environment
|
Lafta, Raid
|
|
|
132 |
C |
p. 106-114
|
artikel
|
| 2 |
A new nested ensemble technique for automated diagnosis of breast cancer
|
Abdar, Moloud
|
|
|
132 |
C |
p. 123-131
|
artikel
|
| 3 |
Competitive and collaborative representation for classification
|
Chi, Hongmei
|
|
|
132 |
C |
p. 46-55
|
artikel
|
| 4 |
Editorial Board
|
|
|
|
132 |
C |
p. ii
|
artikel
|
| 5 |
Editorial special issue on multiple-task learning for big data
|
Zhu, Yingying
|
|
|
132 |
C |
p. 1-3
|
artikel
|
| 6 |
Embedded conformal deep low-rank auto-encoder network for matrix recovery
|
Xia, Haifeng
|
|
|
132 |
C |
p. 38-45
|
artikel
|
| 7 |
Leveraging unpaired out-of-domain data for image captioning
|
Chen, Xinghan
|
|
|
132 |
C |
p. 132-140
|
artikel
|
| 8 |
Movie fill in the blank by joint learning from video and text with adaptive temporal attention
|
Chen, Jie
|
|
|
132 |
C |
p. 62-68
|
artikel
|
| 9 |
Multi-task image set classification via joint representation with class-level sparsity and intra-task low-rankness
|
Liu, Deyin
|
|
|
132 |
C |
p. 99-105
|
artikel
|
| 10 |
Multi-task learning using variational auto-encoder for sentiment classification
|
Lu, Guangquan
|
|
|
132 |
C |
p. 115-122
|
artikel
|
| 11 |
Multi-view predictive latent space learning
|
Yuan, Jirui
|
|
|
132 |
C |
p. 56-61
|
artikel
|
| 12 |
Omni-supervised joint detection and pose estimation for wild animals
|
Zhang, Teng
|
|
|
132 |
C |
p. 84-90
|
artikel
|
| 13 |
Opinion fraud detection via neural autoencoder decision forest
|
Dong, Manqing
|
|
|
132 |
C |
p. 21-29
|
artikel
|
| 14 |
Rating prediction via generative convolutional neural networks based regression
|
Ning, Xiaodong
|
|
|
132 |
C |
p. 12-20
|
artikel
|
| 15 |
Robust rigid registration algorithm based on pointwise correspondence and correntropy
|
Du, Shaoyi
|
|
|
132 |
C |
p. 91-98
|
artikel
|
| 16 |
Self-paced Learning for K-means Clustering Algorithm
|
Yu, Hao
|
|
|
132 |
C |
p. 69-75
|
artikel
|
| 17 |
Spatial–temporal multi-task learning for salient region detection
|
Chen, Zhe
|
|
|
132 |
C |
p. 76-83
|
artikel
|
| 18 |
Supervised feature selection by self-paced learning regression
|
Gan, Jiangzhang
|
|
|
132 |
C |
p. 30-37
|
artikel
|
| 19 |
Unsupervised feature selection by self-paced learning regularization
|
Zheng, Wei
|
|
|
132 |
C |
p. 4-11
|
artikel
|
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