nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
Action recognition via pose-based graph convolutional networks with intermediate dense supervision
|
Shi, Lei |
|
|
121 |
C |
p. |
artikel |
2 |
A hierarchical model for learning to understand head gesture videos
|
Li, Jiachen |
|
|
121 |
C |
p. |
artikel |
3 |
ANCES: A novel method to repair attribute noise in classification problems
|
Sáez, José A. |
|
|
121 |
C |
p. |
artikel |
4 |
A novel GCN-based point cloud classification model robust to pose variances
|
Wang, Huafeng |
|
|
121 |
C |
p. |
artikel |
5 |
A Unified Hierarchical XGBoost model for classifying priorities for COVID-19 vaccination campaign
|
Romeo, Luca |
|
|
121 |
C |
p. |
artikel |
6 |
BiconNet: An edge-preserved connectivity-based approach for salient object detection
|
Yang, Ziyun |
|
|
121 |
C |
p. |
artikel |
7 |
Blitz-SLAM: A semantic SLAM in dynamic environments
|
Fan, Yingchun |
|
|
121 |
C |
p. |
artikel |
8 |
Cloud based scalable object recognition from video streams using orientation fusion and convolutional neural networks
|
Usman Yaseen, Muhammad |
|
|
121 |
C |
p. |
artikel |
9 |
Consistent and diverse multi-View subspace clustering with structure constraint
|
Si, Xiaomeng |
|
|
121 |
C |
p. |
artikel |
10 |
Constrained mutual convex cone method for image set based recognition
|
Sogi, Naoya |
|
|
121 |
C |
p. |
artikel |
11 |
Context-aware co-supervision for accurate object detection
|
Peng, Junran |
|
|
121 |
C |
p. |
artikel |
12 |
Creating synthetic minority class samples based on autoencoder extreme learning machine
|
He, Yu-Lin |
|
|
121 |
C |
p. |
artikel |
13 |
4D computed tomography super-resolution reconstruction based on tensor product and nuclear norm optimization
|
Zhang, Shu |
|
|
121 |
C |
p. |
artikel |
14 |
Deep anomaly detection with self-supervised learning and adversarial training
|
Zhang, Xianchao |
|
|
121 |
C |
p. |
artikel |
15 |
Deep neural networks-based relevant latent representation learning for hyperspectral image classification
|
Sellami, Akrem |
|
|
121 |
C |
p. |
artikel |
16 |
Deep tree-ensembles for multi-output prediction
|
Nakano, Felipe Kenji |
|
|
121 |
C |
p. |
artikel |
17 |
Delving deep into spatial pooling for squeeze-and-excitation networks
|
Jin, Xin |
|
|
121 |
C |
p. |
artikel |
18 |
Edge computing enabled video segmentation for real-time traffic monitoring in internet of vehicles
|
Wan, Shaohua |
|
|
121 |
C |
p. |
artikel |
19 |
Editorial Board
|
|
|
|
121 |
C |
p. |
artikel |
20 |
Estimating fund-raising performance for start-up projects from a market graph perspective
|
Wu, Likang |
|
|
121 |
C |
p. |
artikel |
21 |
Expression of concern: “Deep Adaptive Feature Embedding with Local Sample Distributions for Person Re-identification” [Pattern Recognition, Volume 73, January 2018, Pages 275-288]
|
|
|
|
121 |
C |
p. |
artikel |
22 |
Expression of concern: “What-and-where to match: Deep spatially multiplicative integration networks for person re-identification” [Pattern Recognition, Volume 76, April 2018, Pages 727-738]
|
|
|
|
121 |
C |
p. |
artikel |
23 |
Financial time series forecasting with multi-modality graph neural network
|
Cheng, Dawei |
|
|
121 |
C |
p. |
artikel |
24 |
GLMNet: Graph learning-matching convolutional networks for feature matching
|
Jiang, Bo |
|
|
121 |
C |
p. |
artikel |
25 |
Graph convolutional autoencoders with co-learning of graph structure and node attributes
|
Wang, Jie |
|
|
121 |
C |
p. |
artikel |
26 |
Graph variational auto-encoder for deriving EEG-based graph embedding
|
Behrouzi, Tina |
|
|
121 |
C |
p. |
artikel |
27 |
Head pose estimation using deep neural networks and 3D point clouds
|
Xu, Yuanquan |
|
|
121 |
C |
p. |
artikel |
28 |
Indefinite twin support vector machine with DC functions programming
|
An, Yuexuan |
|
|
121 |
C |
p. |
artikel |
29 |
Joint multi-label learning and feature extraction for temporal link prediction
|
Ma, Xiaoke |
|
|
121 |
C |
p. |
artikel |
30 |
Learning common and label-specific features for multi-Label classification with correlation information
|
Li, Junlong |
|
|
121 |
C |
p. |
artikel |
31 |
Learning discriminative region representation for person retrieval
|
Zhao, Yang |
|
|
121 |
C |
p. |
artikel |
32 |
Learning hybrid ranking representation for person re-identification
|
Wu, Guile |
|
|
121 |
C |
p. |
artikel |
33 |
Learning scale awareness in keypoint extraction and description
|
Shen, Xuelun |
|
|
121 |
C |
p. |
artikel |
34 |
Learning sequentially diversified representations for fine-grained categorization
|
Zhang, Lianbo |
|
|
121 |
C |
p. |
artikel |
35 |
Learning to schedule multi-NUMA virtual machines via reinforcement learning
|
Sheng, Junjie |
|
|
121 |
C |
p. |
artikel |
36 |
Lifelong robotic visual-tactile perception learning
|
Dong, Jiahua |
|
|
121 |
C |
p. |
artikel |
37 |
Mixture factor analysis with distance metric constraint for dimensionality reduction
|
Chen, Jian |
|
|
121 |
C |
p. |
artikel |
38 |
Multi-dimensional clustering through fusion of high-order similarities
|
Peng, Hong |
|
|
121 |
C |
p. |
artikel |
39 |
Novel fuzzy clustering algorithm with variable multi-pixel fitting spatial information for image segmentation
|
Zhang, Hang |
|
|
121 |
C |
p. |
artikel |
40 |
Object-based cluster validation with densities
|
Tavakkol, Behnam |
|
|
121 |
C |
p. |
artikel |
41 |
Online aggregation of probability forecasts with confidence
|
V’yugin, Vladimir |
|
|
121 |
C |
p. |
artikel |
42 |
Pareto optimization of deep networks for COVID-19 diagnosis from chest X-rays
|
Guarrasi, Valerio |
|
|
121 |
C |
p. |
artikel |
43 |
Part-based annotation-free fine-grained classification of images of retail products
|
Santra, Bikash |
|
|
121 |
C |
p. |
artikel |
44 |
Pedestrian attribute recognition: A survey
|
Wang, Xiao |
|
|
121 |
C |
p. |
artikel |
45 |
Pedestrian trajectory prediction with convolutional neural networks
|
Zamboni, Simone |
|
|
121 |
C |
p. |
artikel |
46 |
Preference prediction based on a photo gallery analysis with scene recognition and object detection
|
Savchenko, A.V. |
|
|
121 |
C |
p. |
artikel |
47 |
Recursive multi-model complementary deep fusion for robust salient object detection via parallel sub-networks
|
Wu, Zhenyu |
|
|
121 |
C |
p. |
artikel |
48 |
Relation-aware dynamic attributed graph attention network for stocks recommendation
|
Feng, Shibo |
|
|
121 |
C |
p. |
artikel |
49 |
SAR-to-optical image translation based on improved CGAN
|
Yang, Xi |
|
|
121 |
C |
p. |
artikel |
50 |
Semi-supervised student-teacher learning for single image super-resolution
|
Wang, Lin |
|
|
121 |
C |
p. |
artikel |
51 |
Spatiotemporal consistency-enhanced network for video anomaly detection
|
Hao, Yi |
|
|
121 |
C |
p. |
artikel |
52 |
The residual generator: An improved divergence minimization framework for GAN
|
Gnanha, Aurele Tohokantche |
|
|
121 |
C |
p. |
artikel |
53 |
Towards open-set touchless palmprint recognition via weight-based meta metric learning
|
Shao, Huikai |
|
|
121 |
C |
p. |
artikel |
54 |
Towards robust explanations for deep neural networks
|
Dombrowski, Ann-Kathrin |
|
|
121 |
C |
p. |
artikel |
55 |
Tracking more than 100 arbitrary objects at 25 FPS through deep learning
|
Vaquero, Lorenzo |
|
|
121 |
C |
p. |
artikel |
56 |
Transtrack: Online meta-transfer learning and Otsu segmentation enabled wireless gesture tracking
|
Xiao, Jiang |
|
|
121 |
C |
p. |
artikel |
57 |
Unified learning approach for egocentric hand gesture recognition and fingertip detection
|
Alam, Mohammad Mahmudul |
|
|
121 |
C |
p. |
artikel |
58 |
Universal multi-Source domain adaptation for image classification
|
Yin, Yueming |
|
|
121 |
C |
p. |
artikel |
59 |
Variable weight algorithm for convolutional neural networks and its applications to classification of seizure phases and types
|
Jia, Guangyu |
|
|
121 |
C |
p. |
artikel |
60 |
WC-KNNG-PC: Watershed clustering based on k-nearest-neighbor graph and Pauta Criterion
|
Xia, Jianhua |
|
|
121 |
C |
p. |
artikel |
61 |
Why is this an anomaly? Explaining anomalies using sequential explanations
|
Mokoena, Tshepiso |
|
|
121 |
C |
p. |
artikel |