Journal & Article

Theory & Methods

I/F
# Journal I/F

Information Fusion

Neurostressology: A systematic review of EEG-based automated mental stress perspectives An interpretable integration fusion time-frequency prototype contrastive learning for machine fault diagnosis with limited labeled samples An information fusion model of mutual influence between focal elements: A perspective on interference effects in Dempster–Shafer evidence theory A knowledge-informed dynamic correlation modeling framework for lane-level traffic flow prediction Dynamic frequency selection and spatial interaction fusion for robust person search A consensus set for the aggregation of partial rankings: The case of the Optimal Set of Bucket Orders Problem A multimodal hybrid deep learning approach for pest forecasting using time series and satellite images Enhancing graph convolutional networks with an efficient [formula omitted]-hop neighborhood approach Touch100k: A large-scale touch-language-vision dataset for touch-centric multimodal representation VisualRWKV-HM: Enhancing linear visual-language models via hybrid mixing Transformers and large language models for efficient intrusion detection systems: A comprehensive survey Multimodal information fusion using pyramidal attention-based convolutions for underwater tri-dimensional scene reconstruction SNAFusion-MM: Distilling sparse sampled measurements by 2D axial diffusion priors with multi-step matching for 3D inverse problem A multi-scale information fusion framework with interaction-aware global attention for industrial vision anomaly detection and localization Cognitive Disentanglement for Referring Multi-Object Tracking Deep learning-based hyperspectral and multispectral fusion techniques: Review, optimization, and perspectives Contrastive learning-based place descriptor representation for cross-modality place recognition A graph attention network for real-world multi-image super-resolution Pan-sharpening via Dual Latent Variable Constraint Network Byzantine-robust federated learning considering distributed Non-IID data in privacy-sensitive scenarios Fusion-Attention Diagnosis Network (FADNet): An end-to-end framework for optic disc segmentation and ocular disease classification SAMamba: Adaptive state space modeling with hierarchical vision for infrared small target detection Generating evolving region embedding with memory-based graph for dynamic urban sensing A multimodal information-interconnected network for medication guidance in HR+/HER2- breast cancer treatment THPFF: A tensor-based high-precision feature fusion model for multi-source data in smart healthcare systems MATADOR: Multimodal traffic accident prediction enhanced by multi-source aggregated emotion recognition Uncertainty-aware traffic accident risk prediction via multi-view hypergraph contrastive learning CLDTracker: A Comprehensive Language Description for visual Tracking TSProto: Fusing deep feature extraction with interpretable glass-box surrogate model for explainable time-series classification Differentially private synthetic data generation for robust information fusion A Multi-stage Hemisphere Asymmetry Fusion Network Inspired by the brain for EEG depression detection XStacking : An effective and inherently explainable framework for stacked ensemble learning Side information-guided deep unfolding network based on self-supervised learning for dual-camera compressive hyperspectral imaging FBMTO: Fusion of Blockchain and Multi-Agent Reinforcement Learning for Task Offloading in edge computing Dual-domain decoupled fusion network for semantic segmentation of remote sensing images Scalable many-to-many building footprint matching Interval-valued information fusing via dynamic three-way decision model and regret theory A hybrid model using multimodal feature perception and multiple cross-attention fusion for depressive episodes detection Multi-level correlation information fusion via three-way concept-cognitive learning for multi-label learning PolNet-CR: Spatial-channel collaborative interaction network for PolSAR incremental information-assisted optical satellite imagery cloud removal Fusion of metadata and dermoscopic images for melanoma detection: Deep learning and feature importance analysis Multivariate bounded support Kotz mixture model with semi-supervised projected model-based clustering SpaFusion: A multi-level fusion model for clustering spatial multi-omics data Spatial-aware multi-modal contrastive learning for RGB-D salient object detection and beyond iAMeta: Advancing multimodal metaphor detection using MLLMs and information debiasing Underwater sequential images enhancement via diffusion and physics priors fusion Syntactic paraphrase-based synthetic data generation for backdoor attacks against Chinese language models Combining depth and frequency features with Mamba for multi-focus image fusion Enhancing skin cancer detection through category representation and fusion of pre-trained models ModiFedCat: A multi-modal distillation based federated catalytic framework