Information Fusion, Volume 77

Volume 77, January 2022

Regular Papers

• 
  Christian Esposito, Antonio Galli, Vincenzo Moscato, Giancarlo Sperlí:
  Multi-criteria assessment of user trust in Social Reviewing Systems with subjective logic fusion. 1-18
• 
  Xin Tian, Rui Liu, Zhongyuan Wang, Jiayi Ma:
  High quality 3D reconstruction based on fusion of polarization imaging and binocular stereo vision. 19-28

Special section on Advances in Explainable (XAI) and Responsible (RAI) Artificial Intelligence

• 
  Guang Yang, Qinghao Ye, Jun Xia:
  Unbox the black-box for the medical explainable AI via multi-modal and multi-centre data fusion: A mini-review, two showcases and beyond. 29-52

Special section on Multi-Source Information Fusion for Smart Health with AI

• 
  Yonghua Zhu, Junbo Ma, Changan Yuan, Xiaofeng Zhu:
  Interpretable learning based Dynamic Graph Convolutional Networks for Alzheimer's Disease analysis. 53-61

Regular Papers

• 
  Yue Wu, Shutao Li:
  A novel fusion paradigm for multi-channel image denoising. 62-69

Special section on Fusion from Big Data to Smart Data

• 
  Md. Rafiul Hassan, Shamsul Huda, Mohammad Mehedi Hassan, Jemal H. Abawajy, Ahmed Alsanad, Giancarlo Fortino:
  Early detection of cardiovascular autonomic neuropathy: A multi-class classification model based on feature selection and deep learning feature fusion. 70-80

Regular Papers

• 
  Zhen Zhong, Guobao Xiao, Shiping Wang, Leyi Wei, Xiaoqin Zhang:
  PESA-Net: Permutation-Equivariant Split Attention Network for correspondence learning. 81-89
• 
  Xiang-yu Zhong, Xuanhua Xu, Bin Pan:
  A non-threshold consensus model based on the minimum cost and maximum consensus-increasing for multi-attribute large group decision-making. 90-106

Special section on Multi-Source Information Fusion for Smart Health with AI

• 
  Wang Kay Ngai, Haoran Xie, Di Zou, Kee-Lee Chou:
  Emotion recognition based on convolutional neural networks and heterogeneous bio-signal data sources. 107-117

Regular Papers

• 
  Qiang Zhang, Ting Huang, Xiaoan Tang, Kaijie Xu, Witold Pedrycz:
  A Linguistic Information Granulation Model and Its Penalty Function-Based Co-Evolutionary PSO Solution Approach for Supporting GDM with Distributed Linguistic Preference Relations. 118-132
• 
  Yoni Birman, Shaked Hindi, Gilad Katz, Asaf Shabtai:
  Cost-effective ensemble models selection using deep reinforcement learning. 133-148
• 
  Shagun Uppal, Sarthak Bhagat, Devamanyu Hazarika, Navonil Majumder, Soujanya Poria, Roger Zimmermann, Amir Zadeh:
  Multimodal research in vision and language: A review of current and emerging trends. 149-171
• 
  Zhenchao Ouyang, Jiahe Cui, Xiaoyun Dong, Yanqi Li, Jianwei Niu:
  SaccadeFork: A lightweight multi-sensor fusion-based target detector. 172-183

Special section on Advances in Explainable (XAI) and Responsible (RAI) Artificial Intelligence

• 
  Sebastian Kiefer:
  CaSE: Explaining Text Classifications by Fusion of Local Surrogate Explanation Models with Contextual and Semantic Knowledge. 184-195

Regular Papers

• 
  Gert Dekkers, Fernando Rosas, Toon van Waterschoot, Bart Vanrumste, Peter Karsmakers:
  Dynamic sensor activation and decision-level fusion in wireless acoustic sensor networks for classification of domestic activities. 196-210
• 
  Fuad E. Alsaadi, Zidong Wang, Khalid Hamed Alharbi:
  Scheduler-based state estimation over multiple channels networks. 211-219
• 
  Xia Liu, Yejun Xu, Zaiwu Gong, Francisco Herrera:
  Democratic consensus reaching process for multi-person multi-criteria large scale decision making considering participants' individual attributes and concerns. 220-232

Special section on Advances in Explainable (XAI) and Responsible (RAI) Artificial Intelligence

• 
  Jiamei Sun, Sebastian Lapuschkin, Wojciech Samek, Alexander Binder:
  Explain and improve: LRP-inference fine-tuning for image captioning models. 233-246

Regular Papers

• 
  Xueqian Wang, Dong Zhu, Gang Li, Xiao-Ping Zhang, You He:
  Proposal-Copula-Based Fusion of Spaceborne and Airborne SAR Images for Ship Target Detection^⁎⁎. 247-260

Special section on Advances in Explainable (XAI) and Responsible (RAI) Artificial Intelligence

• 
  Christopher J. Anders, Leander Weber, David Neumann, Wojciech Samek, Klaus-Robert Müller, Sebastian Lapuschkin:
  Finding and removing Clever Hans: Using explanation methods to debug and improve deep models. 261-295