Journal & Article

Theory & Methods

I/F
# Journal I/F

Information Fusion

(a, b)-[formula omitted]-functionals: a generalization of the Sugeno integral with floating domains in arbitrary closed real intervals and its applications DBT-DR-GAN: Dual-branch transformer-enhanced GAN with diffusion-based refinement for CT-to-MRI translation Normalization-driven optimization of knowledge graph creation for semantically grounded information fusion Multimodal semantic-scale network for remote sensing image classification FedCLIPOT: Federated CLIP model via parameter reusing and optimal transport A multi-channel data fusion-enabled multilevel graph-guided framework for fault diagnosis in rotating machinery under extreme biased data Enhancing strategic decision-making via semantic inference: An adaptive framework for threat actor profiling Multi-pattern structure refinement and fusion for heterophilic graphs AI-assisted synthetic medical report generation using radiomic feature correlation-based PCA scores of multimodal data for dementia progression Modality-aware fusion with alignment and balancing for robust multimodal emotion recognition ASAC-Net: A novel multimodal alignment-complementary fusion framework for EEG-fNIRS emotion recognition Diff-AgentDOA: Diffusion-agent model for synthetic data generation in shallow-water target direction of arrival estimation SAINet : Scale-adaptive and information-enhanced remote sensing cross-modal retrieval PV-LiverNet: A multi-phase temporal fusion framework unifying voxel semantics and point geometry for liver tumor segmentation and classification A generalized rule for combining Gaussian belief functions Towards underwater image enhancement via meta-gated fusion strategy and domain adaptation Rebalancing with calibrated sub-classes (RCS): A statistical fusion-based framework for robust imbalanced classification across modalities Unlocking insights: Bridging modality-specific grounding to advance monocular 3D visual grounding FedDCL: Federated diffusion-enhanced contrastive learning for graph anomaly detection Generative AI-augmented intention recognition and hierarchical multimodal policy learning for indoor navigation Fast fuzzy clustering via sparse anchor graph with manifold and balance regularizations FusionMamba : Efficient 3D point cloud completion via spatially-aware state space models and multi-scale information fusion MLF-4DRCNet: Multi-level fusion with 4D radar and camera for 3D object detection in autonomous driving Clustering result re-guided incomplete multi-view spectral clustering A fusion framework for consensus ranking via dual dimensionality reduction and cost-aware optimization Fusing label correlation and adaptive feature weighting for decoupled multi-label feature selection Interest-aware dual alignments for multimedia recommendation Im2State: Image-to-state Mamba for hyperspectral and multispectral image fusion PRFed: Privacy-preserving federated learning to resist poisoning attack A large-scale multi-view fundus images dataset and benchmark for diabetic retinopathy grading DACE-Det: a synergistic fusion framework of multi-task streams for object detection in anisotropically degraded imagery RRFormer: A new transformer-based method for ultra high-definition reflection removal FHNet: Frequency guided hierarchical optimization network for few-shot fine-grained classification of spatially dispersed and aggregated data Fusing physical priors and visual mamba: An SNR-Aware framework for low-Light enhancement in HVI space Medical multimodal large language models: A survey Diffolio: A diffusion model for multivariate probabilistic financial time-series forecasting and portfolio construction Learning across modalities: a systematic survey of multimodal models for financial analysis PCFNet: Period–channel fusion network for multivariate time series forecasting — towards multi-period dependency modeling Alignment in large vision language models: A survey GTEE: A global timestamp encoding enhanced method for robust time series imputation in complex missing scenarios TriEMO: Triple semantic alignment based on modality pair contrastive learning graph network for multimodal emotion recognition FairAnon: Demographically fair face anonymization via orthogonal semantic guidance Revisiting the role of lyrics in music emotion recognition: A critical analysis of the semantic–perceived emotion gap and methodological challenges Federated learning for spatio-temporal data mining: a survey Learning spatio-temporal affine representation subspace for video-based person re-identification Beyond visual prompt: Unlocking parameter-efficient online adapter for continual test-time adaptation in medical image segmentation Uncertainty-aware in-context learning for joint entity and relation extraction Decoding multilingual imagined speech from scalp EEG via dynamic differentiable graph hierarchical fusion network Enhancing multimodal analogical reasoning with logic augmented generation HyPoHGF: Hybrid pooling heterogeneous graph fusion for acupuncture prescription recommendation