Heterogeneous relational reasoning in knowledge graphs with reinforcement learning A novel motion-based online temporal calibration method for multi-rate sensors fusion An emotion role mining approach based on multiview ensemble learning in social networks Multimodal and multicontrast image fusion via deep generative models Editorial Board Multi-focus image fusion with deep residual learning and focus property detection MetaPro: A computational metaphor processing model for text pre-processing Stability-based PAC-Bayes analysis for multi-view learning algorithms [formula omitted] fusion estimation for uncertain discrete time-delayed Hamiltonian systems with sensor saturations: An event-triggered approach Radar sensor network resource allocation for fused target tracking: A brief review Pedestrian Re-identification Algorithm Based on Visual Attention-positive Sample Generation Network Deep Learning Model Editorial Board Exploration in deep reinforcement learning: A survey Distributed detection of sparse signals with censoring sensors in clustered sensor networks A systematic review on affective computing: emotion models, databases, and recent advances Towards a data collection methodology for Responsible Artificial Intelligence in health: A prospective and qualitative study in pregnancy PIAFusion: A progressive infrared and visible image fusion network based on illumination aware Multi-source information fusion for smart health with artificial intelligence Double-cohesion learning based multiview and discriminant palmprint recognition Cross-sensor periocular biometrics in a global pandemic: Comparative benchmark and novel multialgorithmic approach Editorial Board Explaining the impact of source behaviour in evidential reasoning Counterfactuals and causability in explainable artificial intelligence: Theory, algorithms, and applications ContrXT: Generating contrastive explanations from any text classifier Deriving the personalized individual semantics of linguistic information from flexible linguistic preference relations Information fusion for edge intelligence: A survey A fusion spatial attention approach for few-shot learning Multimodal Co-learning: Challenges, applications with datasets, recent advances and future directions Meta-learning meets the Internet of Things: Graph prototypical models for sensor-based human activity recognition Hierarchical fusion and divergent activation based weakly supervised learning for object detection from remote sensing images Transitive full covers of incomplete preference relations Deep learning for depression recognition with audiovisual cues: A review An investigation into the effects of label noise on Dynamic Selection algorithms A novel multimodal fusion network based on a joint coding model for lane line segmentation A Self-Training Hierarchical Prototype-based Ensemble Framework for Remote Sensing Scene Classification PoNet: A universal physical optimization-based spectral super-resolution network for arbitrary multispectral images Multi-sensor information fusion based on machine learning for real applications in human activity recognition: State-of-the-art and research challenges A dynamic hybrid trust network-based dual-path feedback consensus model for multi-attribute group decision-making in intuitionistic fuzzy environment PrivStream: A privacy-preserving inference framework on IoT streaming data at the edge EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: The MonuMAI cultural heritage use case Real-world single image super-resolution: A brief review Hyperspectral band selection via region-aware latent features fusion based clustering Supervised contrastive learning over prototype-label embeddings for network intrusion detection Multi-modal bioelectrical signal fusion analysis based on different acquisition devices and scene settings: Overview, challenges, and novel orientation Editorial Board 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