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ORCIDInformation Fusion, Volume 91
Volume 91, March 2023
- Ignacio-Iker Prado-Rujas
, Emilio Serrano, Antonio García Dopico, M. Luisa Córdoba, María S. Pérez:
Combining heterogeneous data sources for spatio-temporal mobility demand forecasting. 1-12
- Ning Tang, Rui Zhang, Zeliang Wei, Xicheng Chen, Gaoming Li, Qiuyue Song, Dong Yi, Yazhou Wu:
Corrigendum to "Improving the performance of lung nodule classification by fusing structured and unstructured data". 13-14
- Nicholas J. Napoli, Chad L. Stephens, Kellie D. Kennedy, Laura E. Barnes, Ezequiel Juarez Garcia, Angela R. Harrivel:
NAPS Fusion: A framework to overcome experimental data limitations to predict human performance and cognitive task outcomes. 15-30 - Qizhi Xu, Yuan Li, Jinyan Nie, Qingjie Liu, Mengyao Guo:
UPanGAN: Unsupervised pansharpening based on the spectral and spatial loss constrained Generative Adversarial Network. 31-46 - Yang Li, Guanci Yang, Zhidong Su, Shaobo Li, Yang Wang:
Human activity recognition based on multienvironment sensor data. 47-63 - Ha Thi Phuong Thao, Gemma Roig, Dorien Herremans:
EmoMV: Affective music-video correspondence learning datasets for classification and retrieval. 64-79 - Xijiong Xie, Yanfeng Li, Shiliang Sun:
Deep multi-view multiclass twin support vector machines. 80-92 - Gen Li, Jason J. Jung:
Deep learning for anomaly detection in multivariate time series: Approaches, applications, and challenges. 93-102 - Hao Zhang, Hebaixu Wang, Xin Tian, Jiayi Ma:
P2Sharpen: A progressive pansharpening network with deep spectral transformation. 103-122 - Jintao Wen, Dazhi Jiang, Geng Tu, Cheng Liu, Erik Cambria:
Dynamic interactive multiview memory network for emotion recognition in conversation. 123-133 - Tao Zhou, Qi Li, Huiling Lu, Qianru Cheng, Xiangxiang Zhang:
GAN review: Models and medical image fusion applications. 134-148 - Huyen Trang Phan, Ngoc Thanh Nguyen, Dosam Hwang:
Aspect-level sentiment analysis: A survey of graph convolutional network methods. 149-172 - Reewos Talla-Chumpitaz, Manuel Castillo-Cara, Luis Orozco-Barbosa, Raúl García-Castro:
A novel deep learning approach using blurring image techniques for Bluetooth-based indoor localisation. 173-186 - Daniel Laidig, Thomas Seel:
VQF: Highly accurate IMU orientation estimation with bias estimation and magnetic disturbance rejection. 187-204 - Jinyang Liu, Renwei Dian, Shutao Li, Haibo Liu:
SGFusion: A saliency guided deep-learning framework for pixel-level image fusion. 205-214 - Yeyao Chen, Gangyi Jiang, Mei Yu, Haiyong Xu, Yo-Sung Ho:
Learning to simultaneously enhance field of view and dynamic range for light field imaging. 215-229 - Dawa Chyophel Lepcha, Bhawna Goyal, Ayush Dogra, Vishal Goyal:
Image super-resolution: A comprehensive review, recent trends, challenges and applications. 230-260 - Wei-Chia Huang, Chiao-Ting Chen, Chi Lee, Fan-Hsuan Kuo, Szu-Hao Huang:
Attentive gated graph sequence neural network-based time-series information fusion for financial trading. 261-276 - Shuli Yan, Qi Su, Zaiwu Gong, Xiangyan Zeng, Enrique Herrera-Viedma:
Online public opinion prediction based on rolling fractional grey model with new information priority. 277-298 - Mauajama Firdaus, Asif Ekbal, Erik Cambria:
Multitask learning for multilingual intent detection and slot filling in dialogue systems. 299-315 - Chenru Jiang, Kaizhu Huang, Junwei Wu, Xinheng Wang, Jimin Xiao, Amir Hussain:
PointGS: Bridging and fusing geometric and semantic space for 3D point cloud analysis. 316-326 - Xing Xu, Jialiang Sun, Zuo Cao, Yin Zhang, Xiaofeng Zhu, Heng Tao Shen:
TFUN: Trilinear Fusion Network for Ternary Image-Text Retrieval. 327-337 - Han Shi, Hai Zhao, Wei Yao:
A transfer fusion framework for body sensor networks (BSNs): Dynamic domain adaptation from distribution evaluation to domain evaluation. 338-351 - Lin Li, Turghun Tayir, Yifeng Han, Xiaohui Tao, Juan D. Velásquez:
Multimodality information fusion for automated machine translation. 352-363 - Xiaosha Cai, Dong Huang, Guang-Yu Zhang, Chang-Dong Wang:
Seeking commonness and inconsistencies: A jointly smoothed approach to multi-view subspace clustering. 364-375 - Zhiqin Zhu, Xianyu He, Guanqiu Qi, Yuanyuan Li, Baisen Cong, Yu Liu:
Brain tumor segmentation based on the fusion of deep semantics and edge information in multimodal MRI. 376-387 - Afonso B. L. Neto, José Pedro Sousa, Paulo Gil, Jorge Henriques:
GRACE PLUS: A data fusion-based approach to improve GRACE score in the risk assessment of Acute Coronary Syndrome. 388-395 - Nianchang Huang, Jianan Liu, Yunqi Miao, Qiang Zhang, Jungong Han:
Deep learning for visible-infrared cross-modality person re-identification: A comprehensive review. 396-411 - Ángel Miguel García-Vico, Cristóbal J. Carmona, Pedro González, María José del Jesus:
A distributed evolutionary fuzzy system-based method for the fusion of descriptive emerging patterns in data streams. 412-423 - Ankita Gandhi, Kinjal Adhvaryu, Soujanya Poria, Erik Cambria, Amir Hussain:
Multimodal sentiment analysis: A systematic review of history, datasets, multimodal fusion methods, applications, challenges and future directions. 424-444 - Jiaxuan Chen, Xiaoxian Chen, Shuang Chen, Yuyan Liu, Yujing Rao, Yang Yang, Haifeng Wang, Dan Wu:
Shape-Former: Bridging CNN and Transformer via ShapeConv for multimodal image matching. 445-457 - Edwin Lughofer, Mahardhika Pratama:
Evolving multi-user fuzzy classifier system with advanced explainability and interpretability aspects. 458-476 - Linfeng Tang, Xinyu Xiang, Hao Zhang, Meiqi Gong, Jiayi Ma:
DIVFusion: Darkness-free infrared and visible image fusion. 477-493 - Daniel Fernández-González, Carlos Gómez-Rodríguez:
Dependency parsing with bottom-up Hierarchical Pointer Networks. 494-503 - Hao Sun, Jiaqing Liu, Yen-Wei Chen, Lanfen Lin:
Modality-invariant temporal representation learning for multimodal sentiment classification. 504-514 - Yu Ma, Rui Mao, Qika Lin, Peng Wu, Erik Cambria:
Multi-source aggregated classification for stock price movement prediction. 515-528 - Xinyang Li, Chaoqun Li, Liangxiao Jiang:
A multi-view-based noise correction algorithm for crowdsourcing learning. 529-541 - Sijie Mai, Ya Sun, Ying Zeng, Haifeng Hu:
Excavating multimodal correlation for representation learning. 542-555 - Zhenyu Feng, Gang Wang, Bei Peng, Jiacheng He, Kun Zhang:
Distributed minimum error entropy Kalman filter. 556-565 - Lei Shi, Jia Luo, Chuangying Zhu, Feifei Kou, Gang Cheng, Xia Liu:
A survey on cross-media search based on user intention understanding in social networks. 566-581 - Fernando Terroso-Sáenz, Francisco Arcas-Túnez, Andrés Muñoz:
Nation-wide touristic flow prediction with Graph Neural Networks and heterogeneous open data. 582-597 - Carmen Jimenez-Mesa, Javier Ramírez, John Suckling, Jonathan Vöglein, Johannes Levin, Juan Manuel Górriz:
A non-parametric statistical inference framework for Deep Learning in current neuroimaging. 598-611 - Dan Li, Haibao Wang, Yufeng Wang, Shengpei Wang:
Instance-wise multi-view representation learning. 612-622 - YeongMin Ko, Yong-Jun Jang, Vinh Quang Dinh, Hae-Gon Jeon, Moongu Jeon:
Spectral-invariant matching network. 623-632 - José Ramón Trillo, Enrique Herrera-Viedma, Juan Antonio Morente-Molinera, Francisco Javier Cabrerizo:
A large scale group decision making system based on sentiment analysis cluster. 633-643 - Víctor Vargas-Pérez, Pablo Mesejo, Manuel Chica, Oscar Cordón:
Deep reinforcement learning in agent-based simulations for optimal media planning. 644-664 - Vu Phi Tran, Matthew A. Garratt, Kathryn Kasmarik, Sreenatha G. Anavatti, Alex S. Leong, Mohammad Zamani:
Multi-gas source localization and mapping by flocking robots. 665-680 - Zhongyi Zhao, Zidong Wang, Lei Zou, Hongjian Liu, Fuad E. Alsaadi:
Zonotopic multi-sensor fusion estimation with mixed delays under try-once-discard protocol: A set-membership framework. 681-693 - Zhen Qin, Pengbiao Zhao, Tianming Zhuang, Fuhu Deng, Yi Ding, Dajiang Chen:
A survey of identity recognition via data fusion and feature learning. 694-712 - Mikolaj Malkinski, Jacek Mandziuk:
A review of emerging research directions in Abstract Visual Reasoning. 713-736 - Ling Huang, Su Ruan, Thierry Denoeux:
Application of belief functions to medical image segmentation: A review. 737-756
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