Journal & Article

Theory & Methods

I/F
# Journal I/F

Information Fusion

A comprehensive taxonomy of machine consciousness MulGad: Multi-granularity contrastive learning for multivariate time series anomaly detection Multi-scale convolutional attention frequency-enhanced transformer network for medical image segmentation A review on full-, zero-, and partial-knowledge based predictive models for industrial applications Mutual-support generalized category discovery STA-Net: Spatial–temporal alignment network for hybrid EEG-fNIRS decoding NeuralOOD: Improving out-of-distribution generalization performance with brain-machine fusion learning framework DGFD: A dual-graph convolutional network for image fusion and low-light object detection A review of medical text analysis: Theory and practice Deep multi-view clustering: A comprehensive survey of the contemporary techniques Weighted-digraph-guided multi-kernelized learning for outlier explanation MapFusion: A novel BEV feature fusion network for multi-modal map construction Enhancing trust in automated 3D point cloud data interpretation through explainable counterfactuals MSF-Net: Multi-stage fusion network for emotion recognition from multimodal signals in scalable healthcare Learning to estimate probabilistic attitude via matrix Fisher distribution with inertial sensor A comprehensive survey of visible and infrared imaging in complex environments: Principle, degradation and enhancement SSEFusion: Salient semantic enhancement for multimodal medical image fusion with Mamba and dynamic spiking neural networks From screens to scenes: A survey of embodied AI in healthcare DHHNN: A Dynamic Hypergraph Hyperbolic Neural Network based on variational autoencoder for multimodal data integration and node classification Enhancing cross-domain generalization by fusing language-guided feature remapping Multi-objective math problem generation using large language model through an adaptive multi-level retrieval augmentation framework Adaptive structural-guided multi-level representation learning with graph contrastive for incomplete multi-view clustering From patches to WSIs: A systematic review of deep Multiple Instance Learning in computational pathology AI-driven fusion with cybersecurity: Exploring current trends, advanced techniques, future directions, and policy implications for evolving paradigms– A comprehensive review A Bayesian network approach for dynamic behavior analysis: Real-time intention recognition TIAN: A time series Imaging Association Network for human abnormal behavior detection Oral multi-pathology segmentation with Lead-Assisting Backbone Attention Network and synthetic data generation Constructive preference elicitation for multi-criteria decision analysis using an estimate-then-select strategy Ada4DIR: An adaptive model-driven all-in-one image restoration network for remote sensing images Prototype-based cross-modal object tracking Hierarchical global to local calibration for query-focused few-shot node classification SelfFed: Self-adaptive Federated Learning with Non-IID data on Heterogeneous Edge Devices for Bias Mitigation and Enhance Training Efficiency A novel bi-objective R-mathematical programming method for risk group decision making DEMO: A Dynamics-Enhanced Learning Model for multi-horizon trajectory prediction in autonomous vehicles A degradation-aware guided fusion network for infrared and visible image Towards a robust multi-view information bottleneck using Cauchy–Schwarz divergence TMVF: Trusted Multi-View Fish Behavior Recognition with correlative feature and adaptive evidence fusion Alzheimer’s disease diagnosis from MRI and SWI fused image using self adaptive differential evolutionary RVFL classifier From attributes to natural language: A survey and foresight on text-based person re-identification TVT-Transformer: A Tactile-visual-textual fusion network for object recognition Few-shot multi-label intent recognition augmented by label knowledge generalization method Multi-head learning models for power consumption prediction of unmanned ground vehicles RFFR-Net: Robust feature fusion and reconstruction network for clothing-change person re-identification Efficient Multispectral Object Detection with attentive feature aggregation leveraging zero-shot implicit illumination guidance Rethinking neural architecture representation for predictors: Topological encoding in pixel space Seeing helps hearing: A multi-modal dataset and a mamba-based dual branch parallel network for auditory attention decoding Bidomain uncertainty gated recursive network for pan-sharpening Fractal dimension and clinical neurophysiology fusion to gain a deeper brain signal understanding: A systematic review Towards symbolic XAI — explanation through human understandable logical relationships between features Optimizing the environmental design and management of public green spaces: Analyzing urban infrastructure and long-term user experience with a focus on streetlight density in the city of Las Vegas, NV