nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
Adaptive preference transfer for personalized IoT entity recommendation
|
Zhen, Yan |
|
|
162 |
C |
p. 40-46 |
artikel |
2 |
Application of DNN for radar micro-doppler signature-based human suspicious activity recognition
|
Chakraborty, Mainak |
|
|
162 |
C |
p. 1-6 |
artikel |
3 |
Automatic dottization of Arabic text (Rasms) using deep recurrent neural networks
|
Alhathloul, Zainab |
|
|
162 |
C |
p. 47-55 |
artikel |
4 |
Characterizing pandemic waves: A latent class analysis of COVID-19 spread across US counties
|
Sarwar Uddin, Md Yusuf |
|
|
162 |
C |
p. 31-39 |
artikel |
5 |
Classification of emotions using EEG activity associated with different areas of the brain
|
Agarwal, Rupal |
|
|
162 |
C |
p. 71-80 |
artikel |
6 |
Continual semi-supervised learning through contrastive interpolation consistency
|
Boschini, Matteo |
|
|
162 |
C |
p. 9-14 |
artikel |
7 |
Detection of Intrusion behavior in cloud applications using Pearson's chi-squared distribution and decision tree classifiers
|
N, Sathish |
|
|
162 |
C |
p. 15-21 |
artikel |
8 |
Edge-aware motion based facial micro-expression generation with attention mechanism
|
Fan, Xinqi |
|
|
162 |
C |
p. 97-104 |
artikel |
9 |
Editorial Board
|
|
|
|
162 |
C |
p. ii |
artikel |
10 |
Editorial for the special issue on deep learning for precise and efficient object detection
|
Pang, Yanwei |
|
|
162 |
C |
p. 7-8 |
artikel |
11 |
Local to Global Feature Learning for Salient Object Detection
|
Feng, Xuelu |
|
|
162 |
C |
p. 81-88 |
artikel |
12 |
Multi-attribute balanced sampling for disentangled GAN controls
|
Doubinsky, Perla |
|
|
162 |
C |
p. 56-62 |
artikel |
13 |
Real-time identification of eye fixations and saccades using radial basis function networks and Markov chains
|
Lobão-Neto, Ruivaldo |
|
|
162 |
C |
p. 63-70 |
artikel |
14 |
Rotation invariant Gabor convolutional neural network for image classification
|
Yao, Xiaoqin |
|
|
162 |
C |
p. 22-30 |
artikel |
15 |
Spatio-temporal convolutional emotional attention network for spotting macro- and micro-expression intervals in long video sequences
|
Pan, Hang |
|
|
162 |
C |
p. 89-96 |
artikel |