Journal & Article

Theory & Methods

I/F
# Journal I/F

Information Fusion

Probabilistic observation model correction using non-Gaussian belief fusion Attribute filter based infrared and visible image fusion A review of state-of-the-art in Face Presentation Attack Detection: From early development to advanced deep learning and multi-modal fusion methods Protein deep profile and model predictions for identifying the causal genes of male infertility based on deep learning Corrigendum to “Reciprocal Recommender Systems: Analysis of state-of-art literature, challenges and opportunities towards social recommendation” Information Fusion Volume 69 (2020) 103-127 A joint introduction to Gaussian Processes and Relevance Vector Machines with connections to Kalman filtering and other kernel smoothers Trust-aware recommendation based on heterogeneous multi-relational graphs fusion Consensus reaching for group decision making with multi-granular unbalanced linguistic information: A bounded confidence and minimum adjustment-based approach An analysis model of diagnosis and treatment for COVID-19 pandemic based on medical information fusion RFN-Nest: An end-to-end residual fusion network for infrared and visible images LPPTE: A lightweight privacy-preserving trust evaluation scheme for facilitating distributed data fusion in cooperative vehicular safety applications A survey of recommender systems for energy efficiency in buildings: Principles, challenges and prospects DMRFNet: Deep Multimodal Reasoning and Fusion for Visual Question Answering and explanation generation A trusted consensus fusion scheme for decentralized collaborated learning in massive IoT domain Image fusion based on generative adversarial network consistent with perception Image synthesis with adversarial networks: A comprehensive survey and case studies A fusion method for multi-valued data Performance assessment of a system for reasoning under uncertainty Towards multi-modal causability with Graph Neural Networks enabling information fusion for explainable AI Two-stage stochastic minimum cost consensus models with asymmetric adjustment costs Information fusion for affective computing and sentiment analysis ANFIS fusion algorithm for eye movement recognition via soft multi-functional electronic skin A selection framework of sensor combination feature subset for human motion phase segmentation Linear uncertain extensions of the minimum cost consensus model based on uncertain distance and consensus utility An integrated framework of learning and evidential reasoning for user profiling using short texts DeepOption: A novel option pricing framework based on deep learning with fused distilled data from multiple parametric methods Enhancing the security of blockchain-based software defined networking through trust-based traffic fusion and filtration A spatial-channel progressive fusion ResNet for remote sensing classification Multi-body sensor data fusion to evaluate the hippotherapy for motor ability improvement in children with cerebral palsy Multilevel projections with adaptive neighbor graph for unsupervised multi-view feature selection Multi-source information fusion and deep-learning-based characteristics measurement for exploring the effects of peer engagement on stock price synchronicity Online-review analysis based large-scale group decision-making for determining passenger demands and evaluating passenger satisfaction: Case study of high-speed rail system in China Recent advances and new guidelines on hyperspectral and multispectral image fusion A review of Hidden Markov models and Recurrent Neural Networks for event detection and localization in biomedical signals Variational multimodal machine translation with underlying semantic alignment Adaptive ensemble of classifiers with regularization for imbalanced data classification Reciprocal Recommender Systems: Analysis of state-of-art literature, challenges and opportunities towards social recommendation RXDNFuse: A aggregated residual dense network for infrared and visible image fusion Managing noncooperative behaviors in large-scale group decision-making with linguistic preference orderings: The application in Internet Venture Capital Consistency and consensus improvement models driven by a personalized normalization method with probabilistic linguistic preference relations SDMP: A secure detector for epidemic disease file based on DNN Relaxed multi-view clustering in latent embedding space Sentiment Analysis based Multi-Person Multi-criteria Decision Making methodology using natural language processing and deep learning for smarter decision aid. Case study of restaurant choice using TripAdvisor reviews Sugeno integral generalization applied to improve adaptive image binarization End-to-end multimodal affect recognition in real-world environments Tensor-based restricted kernel machines for multi-view classification 40 years of sensor fusion for orientation tracking via magnetic and inertial measurement units: Methods, lessons learned, and future challenges Multi-source information fusion based on rough set theory: A review Multimodal deep generative adversarial models for scalable doubly semi-supervised learning COVID-19 classification by CCSHNet with deep fusion using transfer learning and discriminant correlation analysis