| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A distributed evolutionary fuzzy system-based method for the fusion of descriptive emerging patterns in data streams
|
García-Vico, Á.M.
|
|
|
91 |
C |
p. 412-423
|
artikel
|
| 2 |
A large scale group decision making system based on sentiment analysis cluster
|
Trillo, José Ramón
|
|
|
91 |
C |
p. 633-643
|
artikel
|
| 3 |
A multi-view-based noise correction algorithm for crowdsourcing learning
|
Li, Xinyang
|
|
|
91 |
C |
p. 529-541
|
artikel
|
| 4 |
A non-parametric statistical inference framework for Deep Learning in current neuroimaging
|
Jimenez-Mesa, Carmen
|
|
|
91 |
C |
p. 598-611
|
artikel
|
| 5 |
A novel deep learning approach using blurring image techniques for Bluetooth-based indoor localisation
|
Talla-Chumpitaz, Reewos
|
|
|
91 |
C |
p. 173-186
|
artikel
|
| 6 |
Application of belief functions to medical image segmentation: A review
|
Huang, Ling
|
|
|
91 |
C |
p. 737-756
|
artikel
|
| 7 |
A review of emerging research directions in Abstract Visual Reasoning
|
Małkiński, Mikołaj
|
|
|
91 |
C |
p. 713-736
|
artikel
|
| 8 |
Aspect-level sentiment analysis: A survey of graph convolutional network methods
|
Phan, Huyen Trang
|
|
|
91 |
C |
p. 149-172
|
artikel
|
| 9 |
A survey of identity recognition via data fusion and feature learning
|
Qin, Zhen
|
|
|
91 |
C |
p. 694-712
|
artikel
|
| 10 |
A survey on cross-media search based on user intention understanding in social networks
|
Shi, Lei
|
|
|
91 |
C |
p. 566-581
|
artikel
|
| 11 |
A transfer fusion framework for body sensor networks (BSNs): Dynamic domain adaptation from distribution evaluation to domain evaluation
|
Shi, Han
|
|
|
91 |
C |
p. 338-351
|
artikel
|
| 12 |
Attentive gated graph sequence neural network-based time-series information fusion for financial trading
|
Huang, Wei-Chia
|
|
|
91 |
C |
p. 261-276
|
artikel
|
| 13 |
Brain tumor segmentation based on the fusion of deep semantics and edge information in multimodal MRI
|
Zhu, Zhiqin
|
|
|
91 |
C |
p. 376-387
|
artikel
|
| 14 |
Combining heterogeneous data sources for spatio-temporal mobility demand forecasting
|
Prado-Rujas, Ignacio-Iker
|
|
|
91 |
C |
p. 1-12
|
artikel
|
| 15 |
Corrigendum to “Improving the performance of lung nodule classification by fusing structured and unstructured data”
|
Tang, Ning
|
|
|
91 |
C |
p. 13-14
|
artikel
|
| 16 |
Deep learning for anomaly detection in multivariate time series: Approaches, applications, and challenges
|
Li, Gen
|
|
|
91 |
C |
p. 93-102
|
artikel
|
| 17 |
Deep learning for visible-infrared cross-modality person re-identification: A comprehensive review
|
Huang, Nianchang
|
|
|
91 |
C |
p. 396-411
|
artikel
|
| 18 |
Deep multi-view multiclass twin support vector machines
|
Xie, Xijiong
|
|
|
91 |
C |
p. 80-92
|
artikel
|
| 19 |
Deep reinforcement learning in agent-based simulations for optimal media planning
|
Vargas-Pérez, Víctor A.
|
|
|
91 |
C |
p. 644-664
|
artikel
|
| 20 |
Dependency parsing with bottom-up Hierarchical Pointer Networks
|
Fernández-González, Daniel
|
|
|
91 |
C |
p. 494-503
|
artikel
|
| 21 |
Distributed minimum error entropy Kalman filter
|
Feng, Zhenyu
|
|
|
91 |
C |
p. 556-565
|
artikel
|
| 22 |
DIVFusion: Darkness-free infrared and visible image fusion
|
Tang, Linfeng
|
|
|
91 |
C |
p. 477-493
|
artikel
|
| 23 |
Dynamic interactive multiview memory network for emotion recognition in conversation
|
Wen, Jintao
|
|
|
91 |
C |
p. 123-133
|
artikel
|
| 24 |
Editorial Board
|
|
|
|
91 |
C |
p. ii-iii
|
artikel
|
| 25 |
EmoMV: Affective music-video correspondence learning datasets for classification and retrieval
|
Thao, Ha Thi Phuong
|
|
|
91 |
C |
p. 64-79
|
artikel
|
| 26 |
Evolving multi-user fuzzy classifier system with advanced explainability and interpretability aspects
|
Lughofer, Edwin
|
|
|
91 |
C |
p. 458-476
|
artikel
|
| 27 |
Excavating multimodal correlation for representation learning
|
Mai, Sijie
|
|
|
91 |
C |
p. 542-555
|
artikel
|
| 28 |
GAN review: Models and medical image fusion applications
|
Zhou, Tao
|
|
|
91 |
C |
p. 134-148
|
artikel
|
| 29 |
GRACE PLUS: A data fusion-based approach to improve GRACE score in the risk assessment of Acute Coronary Syndrome
|
Neto, Afonso B.L.
|
|
|
91 |
C |
p. 388-395
|
artikel
|
| 30 |
Human activity recognition based on multienvironment sensor data
|
Li, Yang
|
|
|
91 |
C |
p. 47-63
|
artikel
|
| 31 |
Image super-resolution: A comprehensive review, recent trends, challenges and applications
|
Lepcha, Dawa Chyophel
|
|
|
91 |
C |
p. 230-260
|
artikel
|
| 32 |
Instance-wise multi-view representation learning
|
Li, Dan
|
|
|
91 |
C |
p. 612-622
|
artikel
|
| 33 |
Learning to simultaneously enhance field of view and dynamic range for light field imaging
|
Chen, Yeyao
|
|
|
91 |
C |
p. 215-229
|
artikel
|
| 34 |
Modality-invariant temporal representation learning for multimodal sentiment classification
|
Sun, Hao
|
|
|
91 |
C |
p. 504-514
|
artikel
|
| 35 |
Multi-gas source localization and mapping by flocking robots
|
Tran, Vu Phi
|
|
|
91 |
C |
p. 665-680
|
artikel
|
| 36 |
Multimodality information fusion for automated machine translation
|
Li, Lin
|
|
|
91 |
C |
p. 352-363
|
artikel
|
| 37 |
Multimodal sentiment analysis: A systematic review of history, datasets, multimodal fusion methods, applications, challenges and future directions
|
Gandhi, Ankita
|
|
|
91 |
C |
p. 424-444
|
artikel
|
| 38 |
Multi-source aggregated classification for stock price movement prediction
|
Ma, Yu
|
|
|
91 |
C |
p. 515-528
|
artikel
|
| 39 |
Multitask learning for multilingual intent detection and slot filling in dialogue systems
|
Firdaus, Mauajama
|
|
|
91 |
C |
p. 299-315
|
artikel
|
| 40 |
NAPS Fusion: A framework to overcome experimental data limitations to predict human performance and cognitive task outcomes
|
Napoli, Nicholas J.
|
|
|
91 |
C |
p. 15-30
|
artikel
|
| 41 |
Nation-wide touristic flow prediction with Graph Neural Networks and heterogeneous open data
|
Terroso Sáenz, Fernando
|
|
|
91 |
C |
p. 582-597
|
artikel
|
| 42 |
Online public opinion prediction based on rolling fractional grey model with new information priority
|
Yan, Shuli
|
|
|
91 |
C |
p. 277-298
|
artikel
|
| 43 |
PointGS: Bridging and fusing geometric and semantic space for 3D point cloud analysis
|
Jiang, Chenru
|
|
|
91 |
C |
p. 316-326
|
artikel
|
| 44 |
P2Sharpen: A progressive pansharpening network with deep spectral transformation
|
Zhang, Hao
|
|
|
91 |
C |
p. 103-122
|
artikel
|
| 45 |
Seeking commonness and inconsistencies: A jointly smoothed approach to multi-view subspace clustering
|
Cai, Xiaosha
|
|
|
91 |
C |
p. 364-375
|
artikel
|
| 46 |
SGFusion: A saliency guided deep-learning framework for pixel-level image fusion
|
Liu, Jinyang
|
|
|
91 |
C |
p. 205-214
|
artikel
|
| 47 |
Shape-Former: Bridging CNN and Transformer via ShapeConv for multimodal image matching
|
Chen, Jiaxuan
|
|
|
91 |
C |
p. 445-457
|
artikel
|
| 48 |
Spectral-invariant matching network
|
Ko, Yeongmin
|
|
|
91 |
C |
p. 623-632
|
artikel
|
| 49 |
TFUN: Trilinear Fusion Network for Ternary Image-Text Retrieval
|
Xu, Xing
|
|
|
91 |
C |
p. 327-337
|
artikel
|
| 50 |
UPanGAN: Unsupervised pansharpening based on the spectral and spatial loss constrained Generative Adversarial Network
|
Xu, Qizhi
|
|
|
91 |
C |
p. 31-46
|
artikel
|
| 51 |
VQF: Highly accurate IMU orientation estimation with bias estimation and magnetic disturbance rejection
|
Laidig, Daniel
|
|
|
91 |
C |
p. 187-204
|
artikel
|
| 52 |
Zonotopic multi-sensor fusion estimation with mixed delays under try-once-discard protocol: A set-membership framework
|
Zhao, Zhongyi
|
|
|
91 |
C |
p. 681-693
|
artikel
|
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