Journal & Article

Theory & Methods

I/F
# Journal I/F

Information Fusion

Integrating visual and audio cues for emotion and gender recognition: A multi modal and multi task approach Shrinkage matters: evidence from accuracy-diversity trade-off in regression ensembles FuseMeter: An efficient framework for generic per-flow traffic measurement ViP-HMNN: a visual pathway-inspired hybrid neural network incorporated with in-memory computing for object recognition ChatAssistDesign: A language-interactive framework for iterative vector floorplan generation via conditional diffusion Vision-language models for person re-identification: a survey and outlook Data augmentation with attentional feature aggregation for node classification in GNNs A comprehensive survey and taxonomy of mamba: Applications, Challenges, and Future Directions FedExIT - missing class-agnostic semi-supervised federated learning with extreme imbalance tackling scheme Span-aware temporal aggregation network for video moment retrieval ST-Imputer: Multivariate dependency-aware diffusion network with physics guidance for spatiotemporal imputation IAENet: An importance-aware ensemble model for 3D point cloud-based anomaly detection Parasite: planting durable backdoors against continual federated model fusion via discriminative feature pushing-pulling Uncertainty-aware multi-view evidence fusion for feature selection in brain network analysis Survey of uncertainty estimation in LLMs - Sources, methods, applications, and challenges Attention-driven contrastive learning for cross-modal hashing with prototypical separation EBMADDPG: Shapley-based explainable moving target defense for edge intelligence-enabled SIoT systems via joint Bayesian Markov games and DRL Multimodal brain network analysis: Research advances and challenges MFF-MTT: a multi-feature fusion-based deep learning algorithm for maneuvering target tracking A comprehensive benchmark of spatial encoding methods for tabular data with deep neural networks VLDBench Evaluating multimodal disinformation with regulatory alignment Deep learning-based astronomical multimodal data fusion: A comprehensive review Dimensional compensation for small-sample and small-size insulator burn mark via RGB-point cloud fusion in power grid inspection TPIN: Text-based parallel interaction network with modality-common and modality-specific for multimodal sentiment analysis Multi-source information fusion through tucker tensor decomposition-based transfer learning for handwriting-Based Alzheimer's disease detection Hierarchical cross-module knowledge transfer based on structural multi-view least squares support vector classification MoMD Transformer: adaptive multi-modal fault diagnosis via knowledge transfer with vibration-current signals GCEPANet: A lightweight and efficient remote sensing image cloud removal network model for optical-SAR image fusion Subgraph-focused biomedical knowledge embedding with bi-semantic encoder for multi-type drug-drug interaction prediction Generating vision-language navigation instructions incorporated fine-grained alignment annotations SynJAC: synthetic-data-driven joint-granular adaptation and calibration for domain specific scanned document key information extraction Multi-modal and multi-condition fault diagnosis of rotating machinery via a heterogeneous graph learning framework DepressInstruct: Instruction tuning of large speech-language models for depression detection Rethink: reveal the impact of semantic distribution transfer from the cross-modal hashing perspective Few-shot harmful meme detection via self-adaption mixture-of-experts Scoping review of multimodal sentiment analysis and summarization: State of the art, challenges and future directions Bridging the sim-to-real gap in RF localization with large-scale synthetic pretraining Internet meme on social media: A comprehensive review and new perspectives A hierarchical information policy fusion framework with multimodal large language models for autonomous guidewire navigation in endovascular procedures Style-augmented large-scale vision model with domain-generalized knowledge fusion for anomaly detection in powder bed additive manufacturing Progressive temporal compensation and semantic enhancement for Exo-to-Ego video generation Regional defeats global: An efficient regional feature fusion via convolutional architecture for multispectral object detection SG-DGLF: A similarity-guided dual-graph learning framework HFPN: Hierarchical fusion and prediction network with multi-level cross-modality relation learning for audio-visual event localization PairHuman: A high-fidelity photographic dataset for customized dual-person generation Multi-view anchor subspace clustering via consensus-specific reconstruction GatedFusion-Net: Per-pixel modality weighting in a five-cue transformer for RGB-D-I-T-UV fusion Interval-valued matrix factorization and knowledge-guided clustering for trust-aware cross-domain recommendation systems PIFGSR: Pluggable framework for information fusion using generative artificial intelligence (GenAI) in recommender systems Adaptive probabilistic information fusion under concept drift: a generalized bayesian framework