EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: The MonuMAI cultural heritage use case Auto-adaptive Grammar-Guided Genetic Programming algorithm to build Ensembles of Multi-Label Classifiers Multimodal Earth observation data fusion: Graph-based approach in shared latent space An interval 2-Tuple linguistic Fine-Kinney model for risk analysis based on extended ORESTE method with cumulative prospect theory Multi-modal gait: A wearable, algorithm and data fusion approach for clinical and free-living assessment Data fusion and transfer learning empowered granular trust evaluation for Internet of Things DF-Net: Deep fusion network for multi-source vessel segmentation Multi-view spectral clustering via constrained nonnegative embedding Unbox the black-box for the medical explainable AI via multi-modal and multi-centre data fusion: A mini-review, two showcases and beyond A Linguistic Information Granulation Model and Its Penalty Function-Based Co-Evolutionary PSO Solution Approach for Supporting GDM with Distributed Linguistic Preference Relations Cost-effective ensemble models selection using deep reinforcement learning CaSE: Explaining Text Classifications by Fusion of Local Surrogate Explanation Models with Contextual and Semantic Knowledge Democratic consensus reaching process for multi-person multi-criteria large scale decision making considering participants’ individual attributes and concerns Proposal-Copula-Based Fusion of Spaceborne and Airborne SAR Images for Ship Target Detection⁎⁎ Sensor fusion algorithms for orientation tracking via magnetic and inertial measurement units: An experimental comparison survey 2D–3D Geometric Fusion network using Multi-Neighbourhood Graph Convolution for RGB-D indoor scene classification A defense method based on attention mechanism against traffic sign adversarial samples Cardinality-limiting extended pre-aggregation functions Hyperparameter self-tuning for data streams Advances in multimodality data fusion in neuroimaging Notions of explainability and evaluation approaches for explainable artificial intelligence Domain structure-based transfer learning for cross-domain word representation EMFusion: An unsupervised enhanced medical image fusion network Data Fusion for Trust Evaluation Influence identification of opinion leaders in social networks: an agent-based simulation on competing advertisements Two approaches to partial-nodes-based state estimation for delayed complex networks with intermittent measurement transmissions A tensor-network-based big data fusion framework for Cyber–Physical–Social Systems (CPSS) Multi-label, multi-task CNN approach for context-based emotion recognition 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 F-PENN— Forest path encoding for neural networks 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