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 Dual-Driven Cross-Modal Contrastive Hashing Retrieval Network Via Structural Feature and Semantic Information Explaining tree ensembles through single decision trees Social network group decision making with minimum cost and maximum satisfaction consensus based on bargaining game Improving protein–protein interaction modulator predictions via knowledge-fused language models Training neural networks on data sources with unknown reliability Investigating the impact of balancing, filtering, and complexity on predictive multiplicity: A data-centric perspective CCF: Cross Correcting Framework for pedestrian trajectory prediction in multi-agent traffic scenarios HumanVLM: Foundation for Human-Scene Vision-Language Model VSC-Net: Versatile spatiotemporal convolution network with multi-sensor signals for remaining useful life prediction of mechanical systems Transfer Learning with Foundational Models for Time Series Forecasting using Low-Rank Adaptations