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Information Fusion, Volume 64
Volume 64, December 2020
- Dongliang Xu, Zhihong Tian, Rufeng Lai, Xiangtao Kong, Zhiyuan Tan, Wei Shi:
Deep learning based emotion analysis of microblog texts. 1-11
- Shufeng Xiong, Ming Cheng, Vishwash Batra, Tao Qian, Bingkun Wang, Yangdong Ye:
Aspect terms grouping via fusing concepts and context information. 12-19 - Shaoming He, Hyo-Sang Shin, Antonios Tsourdos:
Distributed multiple model joint probabilistic data association with Gibbs sampling-aided implementation. 20-31 - Johana Florez-Lozano, Fabio Caraffini, Carlos Parra, Mario Gongora:
Cooperative and distributed decision-making in a multi-agent perception system for improvised land mines detection. 32-49
- Yukun Ma, Khanh Linh Nguyen, Frank Z. Xing, Erik Cambria:
A survey on empathetic dialogue systems. 50-70
- Yu Liu, Lei Wang, Juan Cheng, Chang Li, Xun Chen:
Multi-focus image fusion: A Survey of the state of the art. 71-91 - Ronald R. Yager:
Ordinal scale based uncertainty models for AI. 92-98 - Yassine Himeur, Abdullah Alsalemi, Ayman Al-Kababji, Faycal Bensaali, Abbes Amira:
Data fusion strategies for energy efficiency in buildings: Overview, challenges and novel orientations. 99-120 - Behnood Rasti, Pedram Ghamisi:
Remote sensing image classification using subspace sensor fusion. 121-130 - Ruben Tolosana, Rubén Vera-Rodríguez, Julian Fiérrez, Aythami Morales, Javier Ortega-Garcia:
Deepfakes and beyond: A Survey of face manipulation and fake detection. 131-148
- Yu-Dong Zhang, Zhengchao Dong, Shui-Hua Wang, Xiang Yu, Xujing Yao, Qinghua Zhou, Hua Hu, Min Li, Carmen Jimenez-Mesa, Javier Ramírez, Francisco Jesús Martínez-Murcia, Juan Manuel Górriz:
Advances in multimodal data fusion in neuroimaging: Overview, challenges, and novel orientation. 149-187
- Amir Zadeh, Paul Pu Liang, Louis-Philippe Morency:
Foundations of Multimodal Co-learning. 188-193
- Gaoge Hu, Bingbing Gao, Yongmin Zhong, Chengfan Gu:
Unscented kalman filter with process noise covariance estimation for vehicular ins/gps integration system. 194-204 - Sergio González, Salvador García, Javier Del Ser, Lior Rokach, Francisco Herrera:
A practical tutorial on bagging and boosting based ensembles for machine learning: Algorithms, software tools, performance study, practical perspectives and opportunities. 205-237 - Wei Ma, Chaofan Gong, Shibiao Xu, Xiaopeng Zhang:
Multi-scale spatial context-based semantic edge detection. 238-251
- Min Chen, Miao Li, Yixue Hao, Zhongchun Liu, Long Hu, Lin Wang:
The introduction of population migration to SEIAR for COVID-19 epidemic modeling with an efficient intervention strategy. 252-258
- Hyo-Sang Shin, Shaoming He, Antonios Tsourdos:
Sample greedy gossip distributed Kalman filter. 259-269 - Nuria Rodríguez Barroso, Goran Stipcich, Daniel Jiménez-López, José Antonio Ruiz-Millán, Eugenio Martínez-Cámara, Gerardo González-Seco, María Victoria Luzón, Miguel Angel Veganzones, Francisco Herrera:
Federated Learning and Differential Privacy: Software tools analysis, the Sherpa.ai FL framework and methodological guidelines for preserving data privacy. 270-292 - Vinicius Ferraris, Nicolas Dobigeon, Marie Chabert:
Robust fusion algorithms for unsupervised change detection between multi-band optical images - A comprehensive case study. 293-317 - Francisco Luque Sánchez, Isabelle Hupont, Siham Tabik, Francisco Herrera:
Revisiting crowd behaviour analysis through deep learning: Taxonomy, anomaly detection, crowd emotions, datasets, opportunities and prospects. 318-335
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