Journal & Article

Theory & Methods

I/F
# Journal I/F

Information Fusion

Adversarial robust image processing in medical digital twin A multi-source domain feature-decision dual fusion adversarial transfer network for cross-domain anti-noise mechanical fault diagnosis in sustainable city Towards facial micro-expression detection and classification using modified multimodal ensemble learning approach Human activity recognition using binary sensors: A systematic review Blockchain-based privacy-preserving incentive scheme for internet of electric vehicle Attention-guided hierarchical fusion U-Net for uncertainty-driven medical image segmentation Explainable natural language processing for corporate sustainability analysis An adaptive meta-imitation learning-based recommendation environment simulator: A case study on ship-cargo matching Open knowledge graph completion with negative-aware representation learning and multi-source reliability inference A survey of evidential clustering: Definitions, methods, and applications Enhancing few-shot lifelong learning through fusion of cross-domain knowledge Dynamic collaborative learning with heterogeneous knowledge transfer for long-tailed visual recognition Multi-view support vector machine classifier via [formula omitted] soft-margin loss with structural information Recent advances in data-driven fusion of multi-modal imaging and genomics for precision medicine Dynamic clustering-based consensus model for large-scale group decision-making considering overlapping communities DSEM-NeRF: Multimodal feature fusion and global–local attention for enhanced 3D scene reconstruction Vul-LMGNNs: Fusing language models and online-distilled graph neural networks for code vulnerability detection Multimodal dual perception fusion framework for multimodal affective analysis An interactive iteration consensus based social network large-scale group decision making method and its application in zero-waste city evaluation HSMix: Hard and soft mixing data augmentation for medical image segmentation Interpretability research of deep learning: A literature survey Efficient audio–visual information fusion using encoding pace synchronization for Audio–Visual Speech Separation Label distribution-driven multi-view representation learning Hypergraph convolutional networks with multi-ordering relations for cross-document event coreference resolution DSAP: Analyzing bias through demographic comparison of datasets An efficient cross-view image fusion method based on selected state space and hashing for promoting urban perception Deep learning based 3D segmentation in computer vision: A survey Applications of knowledge distillation in remote sensing: A survey Generative technology for human emotion recognition: A scoping review Alignable kernel network Divide and augment: Supervised domain adaptation via sample-wise feature fusion Bounded rationality consensus reaching process with regret theory and weighted Moment estimation for multi-attribute group decision making Eco-friendly integration of shared autonomous mobility on demand and public transit based on multi-source data Large model-driven hyperscale healthcare data fusion analysis in complex multi-sensors IFNet: Data-driven multisensor estimate fusion with unknown correlation in sensor measurement noises Information fusion for large-scale multi-source data based on the Dempster-Shafer evidence theory Mid-Net: Rethinking efficient network architectures for small-sample vascular segmentation WaterHE-NeRF: Water-ray matching neural radiance fields for underwater scene reconstruction Polyp-Mamba: A Hybrid Multi-Frequency Perception Gated Selection Network for polyp segmentation Multi-level information fusion for missing multi-label learning based on stochastic concept clustering Euclidean and Poincaré space ensemble Xgboost Natural language processing in finance: A survey FairDPFL-SCS: Fair Dynamic Personalized Federated Learning with strategic client selection for improved accuracy and fairness M-IPISincNet: An explainable multi-source physics-informed neural network based on improved SincNet for rolling bearings fault diagnosis A systematic literature review of low-cost 3D mapping solutions Exploring adversarial deep learning for fusion in multi-color channel skin detection applications Uncertainty measures: A critical survey An endogenous and continual learning approach to personalize individual semantics to support linguistic consensus reaching Diffusion-based diverse audio captioning with retrieval-guided Langevin dynamics Model compression techniques in biometrics applications: A survey