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ORCIDInformation Fusion, Volume 59
Volume 59, July 2020
- Peng Xie
, Tianrui Li, Jia Liu, Shengdong Du, Xin Yang, Junbo Zhang:
Urban flow prediction from spatiotemporal data using machine learning: A survey. 1-12 - Samadhan C. Kulkarni, Priti P. Rege:
Pixel level fusion techniques for SAR and optical images: A review. 13-29 - Dong Cheng, Faxin Cheng, Zhili Zhou, Yong Wu:
Reaching a minimum adjustment consensus in social network group decision-making. 30-43 - Shaeela Ayesha, Muhammad Kashif Hanif, Ramzan Talib:
Overview and comparative study of dimensionality reduction techniques for high dimensional data. 44-58 - Maryam Imani, Hassan Ghassemian:
An overview on spectral and spatial information fusion for hyperspectral image classification: Current trends and challenges. 59-83 - Ru-Xi Ding, Iván Palomares, Xueqing Wang, Guo-Rui Yang, Bingsheng Liu, Yucheng Dong, Enrique Herrera-Viedma, Francisco Herrera:
Large-Scale decision-making: Characterization, taxonomy, challenges and future directions from an Artificial Intelligence and applications perspective. 84-102 - Jianhua Zhang, Zhong Yin, Peng Chen, Stefano Nichele:
Emotion recognition using multi-modal data and machine learning techniques: A tutorial and review. 103-126
- Hanshu Cai, Zhidiao Qu, Zhe Li, Yi Zhang, Xiping Hu, Bin Hu:
Feature-level fusion approaches based on multimodal EEG data for depression recognition. 127-138
- Rhea Sukthanker, Soujanya Poria, Erik Cambria, Ramkumar Thirunavukarasu:
Anaphora and coreference resolution: A review. 139-162 - Ahsan Adeel, Mandar Gogate, Amir Hussain:
Contextual deep learning-based audio-visual switching for speech enhancement in real-world environments. 163-170
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