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Information Fusion, Volume 65
Volume 65, January 2021
- Devamanyu Hazarika, Soujanya Poria, Roger Zimmermann, Rada Mihalcea:
Conversational transfer learning for emotion recognition. 1-12
- Asma Belhadi, Youcef Djenouri, Gautam Srivastava, Djamel Djenouri, Jerry Chun-Wei Lin, Giancarlo Fortino:
Deep learning for pedestrian collective behavior analysis in smart cities: A model of group trajectory outlier detection. 13-20 - Yidong Peng, Weisheng Li, Xiaobo Luo, Jiao Du, Yi Gan, Xinbo Gao:
Integrated fusion framework based on semicoupled sparse tensor factorization for spatio-temporal-spectral fusion of remote sensing images. 21-36
- Aasim Raheel, Muhammad Majid, Syed Muhammad Anwar:
DEAR-MULSEMEDIA: Dataset for emotion analysis and recognition in response to multiple sensorial media. 37-49
- Esteban Jove, José Luís Casteleiro-Roca, Héctor Quintián, Juan Albino Méndez Pérez, José Luís Calvo-Rolle:
A new method for anomaly detection based on non-convex boundaries with random two-dimensional projections. 50-57
- Qiuchi Li, Dimitris Gkoumas, Christina Lioma, Massimo Melucci:
Quantum-inspired multimodal fusion for video sentiment analysis. 58-71
- Mengzi Tang, Raúl Pérez-Fernández, Bernard De Baets:
Distance metric learning for augmenting the method of nearest neighbors for ordinal classification with absolute and relative information. 72-83 - Jie Xue, Zhuo Wang, Deting Kong, Yuan Wang, Xiyu Liu, Wen Fan, Songtao Yuan, Sijie Niu, Dengwang Li:
Deep ensemble neural-like P systems for segmentation of central serous chorioretinopathy lesion. 84-94 - Ankit Thakkar, Kinjal Chaudhari:
Fusion in stock market prediction: A decade survey on the necessity, recent developments, and potential future directions. 95-107 - Jinxing Li, Zhaoqun Li, Guangming Lu, Yong Xu, Bob Zhang, David Zhang:
Asymmetric Gaussian Process multi-view learning for visual classification. 108-118 - Haijuan Fu, Yu Geng, Changqing Zhang, Zechao Li, Qinghua Hu:
RED-Nets: Redistribution Networks for Multi-View Classification. 119-127 - Yiru Jiao, Yongli Li:
An active opinion dynamics model: the gap between the voting result and group opinion. 128-146 - Yingying Liang, Yanbing Ju, Jindong Qin, Witold Pedrycz:
Multi-granular linguistic distribution evidential reasoning method for renewable energy project risk assessment. 147-164 - Yuzhu Wu, Zhen Zhang, Gang Kou, Hengjie Zhang, Xiangrui Chao, Cong-Cong Li, Yucheng Dong, Francisco Herrera:
Distributed linguistic representations in decision making: Taxonomy, key elements and applications, and challenges in data science and explainable artificial intelligence. 165-178 - Thierry Denoeux:
Distributed combination of belief functions. 179-191
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