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Information Fusion, Volume 71
Volume 71, July 2021
- Martin Papco, Iosu Rodríguez-Martínez, Javier Fumanal-Idocin, Abdulrahman H. Altalhi, Humberto Bustince:
A fusion method for multi-valued data. 1-10 - Branko Ristic, Christopher Gilliam, Marion Byrne:
Performance assessment of a system for reasoning under uncertainty. 11-16 - Debashis Das Chakladar, Pradeep Kumar, Partha Pratim Roy, Debi Prosad Dogra, Erik J. Scheme, Victor Chang:
A multimodal-Siamese Neural Network (mSNN) for person verification using signatures and EEG. 17-27 - Andreas Holzinger, Bernd Malle, Anna Saranti, Bastian Pfeifer:
Towards multi-modal causability with Graph Neural Networks enabling information fusion for explainable AI. 28-37 - Inès Osman, Sadok Ben Yahia, Gayo Diallo:
Ontology Integration: Approaches and Challenging Issues. 38-63 - Weiwei Zhang, Guang Yang, Nan Zhang, Lei Xu, Xiaoqing Wang, Yanping Zhang, Heye Zhang, Javier Del Ser, Victor Hugo C. de Albuquerque:
Multi-task learning with Multi-view Weighted Fusion Attention for artery-specific calcification analysis. 64-76 - Huanhuan Li, Ying Ji, Zaiwu Gong, Shaojian Qu:
Two-stage stochastic minimum cost consensus models with asymmetric adjustment costs. 77-96
- Amir Hussain, Erik Cambria, Soujanya Poria, Ahmad Y. A. Hawalah, Francisco Herrera:
Information fusion for affective computing and sentiment analysis. 97-98
- Wentao Dong, Lin Yang, Raffaele Gravina, Giancarlo Fortino:
ANFIS fusion algorithm for eye movement recognition via soft multi-functional electronic skin. 99-108 - Guofa Li, Yongjie Lin, Xingda Qu:
An infrared and visible image fusion method based on multi-scale transformation and norm optimization. 109-129
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