Journal & Article

Theory & Methods

I/F
# Journal I/F

Information Fusion

Physical prior-guided deep fusion network with shading cues for shape from polarization IF-USOD: Multimodal information fusion interactive feature enhancement architecture for underwater salient object detection Incomplete multi-view clustering based on hypergraph Hybrid multivariate time series prediction system fusing transfer entropy and local relative density Graph convolutional network for compositional data FedKD-IDS: A robust intrusion detection system using knowledge distillation-based semi-supervised federated learning and anti-poisoning attack mechanism Quantum social network analysis: Methodology, implementation, challenges, and future directions Self-supervised learning-based multi-source spectral fusion for fruit quality evaluation: A case study in mango fruit ripeness prediction Pixel-level semantic parsing in complex industrial scenarios using large vision-language models Scalable unpaired multi-view clustering with Bipartite Graph Matching XEdgeAI: A human-centered industrial inspection framework with data-centric Explainable Edge AI approach ODEFTC: Optimal Distributed Estimation based on Fixed-Time Consensus Multi-layer multi-level comprehensive learning for deep multi-view clustering Has multimodal learning delivered universal intelligence in healthcare? A comprehensive survey A consensus-reaching model considering decision-makers’ willingness in social network-based large-scale group decision-making Fusion of probabilistic linguistic term sets for enhanced group decision-making: Foundations, survey and challenges BEV-TinySpotter: A novel BEV perception method considering multi-dimensional feature fusion of small target A hybrid opinion dynamics model with leaders and followers fusing dynamic social networks in large-scale group decision-making FedFR-ADP: Adaptive differential privacy with feedback regulation for robust model performance in federated learning Hyperspectral and multispectral image fusion: When model-driven meet data-driven strategies Hybrid Architectures Ensemble Learning for pseudo-label refinement in semi-supervised segmentation Flare-aware cross-modal enhancement network for multi-spectral vehicle Re-identification Multimodal sentiment analysis with unimodal label generation and modality decomposition 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