Journal & Article

Theory & Methods

I/F
# Journal I/F

Information Fusion

A comprehensive survey of research towards AI-enabled unmanned aerial systems in pre-, active-, and post-wildfire management Deconfounded multi-organ weakly-supervised semantic segmentation via causal intervention Multi-modal fusion for business process prediction in call center scenarios A novel multi-criteria conflict evidence combination method and its application to pattern recognition Fusion-based intelligent decision method with factor code and factor pedigree in the system fault evolution process GPT-4V with emotion: A zero-shot benchmark for Generalized Emotion Recognition Transformer-based multimodal change detection with multitask consistency constraints Sarcasm driven by sentiment: A sentiment-aware hierarchical fusion network for multimodal sarcasm detection A semantic-driven coupled network for infrared and visible image fusion Privacy-preserving data integration and sharing in multi-party IoT environments: An entity embedding perspective Transformer-based vision-language alignment for robot navigation and question answering Efficient networks for textureless feature registration via free receptive field Online multi-hypergraph fusion learning for cross-subject emotion recognition Fusion decision strategies for multiple criterion preferences based on three-way decision A novel federated multi-view clustering method for unaligned and incomplete data fusion A novel intuitionistic fuzzy generator for low-contrast color image enhancement technique HiCMAE: Hierarchical Contrastive Masked Autoencoder for self-supervised Audio-Visual Emotion Recognition Transformer-based self-supervised image super-resolution method for Rotating Synthetic Aperture system via multi-temporal fusion Self-supervised multi-frame depth estimation with visual-inertial pose transformer and monocular guidance Large-scale group decision-making involving community representatives: A perspective of combining strong and weak ties Joint Semantic Segmentation using representations of LiDAR point clouds and camera images Hierarchical relationship modeling in multi-agent reinforcement learning for mixed cooperative–competitive environments A flexible multi-temporal orthoimage mosaicking method based on dynamic variable patches Faster nonconvex low-rank matrix learning for image low-level and high-level vision: A unified framework IMPORTANT-Net: Integrated MRI multi-parametric increment fusion generator with attention network for synthesizing absent data Zero-shot stance detection based on multi-perspective transferable feature fusion A review of cancer data fusion methods based on deep learning PODB: A learning-based polarimetric object detection benchmark for road scenes in adverse weather conditions Multi-view contrastive clustering via integrating graph aggregation and confidence enhancement Fusion dynamical systems with machine learning in imitation learning: A comprehensive overview Multimodal fusion-based spatiotemporal incremental learning for ocean environment perception under sparse observation Physics-inspired multimodal machine learning for adaptive correlation fusion based rotating machinery fault diagnosis SingleS2R: Single sample driven Sim-to-Real transfer for Multi-Source Visual-Tactile Information Understanding using multi-scale vision transformers Recursive filtering for two-dimensional systems with amplify-and-forward relays: Handling degraded measurements and dynamic biases Multi-task multi-objective evolutionary network for hyperspectral image classification and pansharpening Learning emotional prompt features with multiple views for visual emotion analysis DBFFT: Adversarial-robust dual-branch frequency domain feature fusion in vision transformers ADRNet-S*: Asymmetric depth registration network via contrastive knowledge distillation for RGB-D mirror segmentation MamlFormer: Priori-experience guiding transformer network via manifold adversarial multi-modal learning for laryngeal histopathological grading SK-MMFMNet: A multi-dimensional fusion network of remote sensing images and EEG signals for multi-scale marine target recognition Designing interpretable ML system to enhance trust in healthcare: A systematic review to proposed responsible clinician-AI-collaboration framework An adaptive consensus model for multi-criteria sorting under linguistic distribution group decision making considering decision-makers’ attitudes Spatiotemporal gated traffic trajectory simulation with semantic-aware graph learning Distributed event-triggered estimation for dynamic average consensus: A perturbation-injected privacy-preservation scheme Periodic Distribution Entropy: Unveiling the complexity of physiological time series through multidimensional dynamics Discovering common information in multi-view data ExplainLFS: Explaining neural architectures for similarity learning from local perturbations in the latent feature space Large-scale group hierarchical DEMATEL method with automatic consensus reaching mm-CasGAN: A cascaded adversarial neural framework for mmWave radar point cloud enhancement CasFormer: Cascaded transformers for fusion-aware computational hyperspectral imaging