yusuke1997/dblp-id-title huggingface dataset:
Identifying spatial domains from spatial multi-omics data using consistent and specific deep subspace learning
Knowledge-aware multimodal pre-training for fake news detection
The relative roles of different land-use types in bike-sharing demand: A machine learning-based multiple interpolation fusion method
Insight at the right spot: Provide decisive subgraph information to Graph LLM with reinforcement learning
ADCT-Net: Adaptive traffic forecasting neural network via dual-graphic cross-fused transformer
Anchor graph-guided dual-target alignment network for incomplete multi-view clustering
Multivariate solar power time series forecasting using multilevel data fusion and deep neural networks
Robust memory-efficient data level information fusion of multi-modal biometric images
A data-fusion spatiotemporal matrix factorization approach for citywide traffic flow estimation and prediction under insufficient detection
A tutorial review on entropy-based handcrafted feature extraction for information fusion
DAK-Pose: Dual-augmentor knowledge fusion for generalizable video-based 3D human pose estimation
Missing multi-label learning based on the fusion of two-level nonlinear mappings
MGF-GCN: Multimodal interaction Mamba-aided graph convolutional fusion network for semantic segmentation of remote sensing images
Dimensional compensation for small-sample and small-size insulator burn mark via RGB-point cloud fusion in power grid inspection
Pixel-level image fusion with simultaneous orthogonal matching pursuit
Multi-type context-aware conversational recommender systems via mixture-of-experts
Latent information-guided one-step multi-view fuzzy clustering based on cross-view anchor graph
PHDEA4SR: Enhancing sequential recommendation with periodicity and high-order dependencies
A survey of multiple classifier systems as hybrid systems
A survey on the fusion process in opinion dynamics
Multi-teacher self-distillation based on adaptive weighting and activation pattern for enhancing lightweight arrhythmia recognition
Sparse robust subspace learning via boolean weight
A novel multi-criteria conflict evidence combination method and its application to pattern recognition
Multimodal feature fusion by relational reasoning and attention for visual question answering
Prototype-based cross-modal object tracking
FuCiTNet: Improving the generalization of deep learning networks by the fusion of learned class-inherent transformations
InsGNN: Interpretable spatio-temporal graph neural networks via information bottleneck
Enhancing multi-modal fusion in visual dialog via sample debiasing and feature interaction
Explaining data changes with prototypes: A measure-driven approach
Bridging the gap between computer vision and bioelectrical signal analysis
A novel sarcasm detection approach for text-image data: Leveraging multimodal fusion and weighted latent factors
Divide and augment: Supervised domain adaptation via sample-wise feature fusion
H∞ fusion estimation for uncertain discrete time-delayed Hamiltonian systems with sensor saturations: An event-triggered approach
RFVIR: A robust federated algorithm defending against Byzantine attacks
Distributed estimation over a low-cost sensor network: A Review of state-of-the-art
Human activity recognition based on multienvironment sensor data
Pseudo 5D hyperspectral light field for image semantic segmentation
Hierarchical knowledge fusion for enhanced health event prediction: Discriminating between frequent and new diseases
Finite mixture modeling in time series: A survey of Bayesian filters and fusion approaches
Prediction consistency regularization for Generalized Category Discovery
ExtendedSketch+: Super host identification and network host trust evaluation with memory efficiency and high accuracy
Focused pooling for image fusion evaluation
Evidence gathering for hypothesis resolution using judicial evidential reasoning
Dynamic classifier selection: Recent advances and perspectives
Boundary finding based multi-focus image fusion through multi-scale morphological focus-measure
A sampling of US patents in the Information Fusion Domain
Gestural feature extraction and multi-feature co-activation for dysarthric speech recognition
An efficient ensemble pruning approach based on simple coalitional games
A survey of multimodal hybrid deep learning for computer vision: Architectures, applications, trends, and challenges
Event-triggered multi-rate fusion estimation for uncertain system with stochastic nonlinearities and colored measurement noises
A hybrid opinion dynamics model with leaders and followers fusing dynamic social networks in large-scale group decision-making
The four dimensions of social network analysis: An overview of research methods, applications, and software tools
Clustering ensemble via structured hypergraph learning
Model-Assisted Multi-source Fusion Hypergraph Convolutional Neural Networks for intelligent few-shot fault diagnosis to Electro-Hydrostatic Actuator
Dynamic clustering-based consensus model for large-scale group decision-making considering overlapping communities
Dual-level Deep Evidential Fusion: Integrating multimodal information for enhanced reliable decision-making in deep learning
Consensus, dissension and precision in group decision making by means of an algebraic extension of hesitant fuzzy linguistic term sets
Audio-visual emotion fusion (AVEF): A deep efficient weighted approach
Deep learning-based astronomical multimodal data fusion: A comprehensive review
Structure-guided deep multi-view clustering
ADPGAN: Adaptive Differential Privacy-Preserving GAN for image privacy
Multi-modal disease segmentation with continual learning and adaptive decision fusion
LCAMix: Local-and-contour aware grid mixing based data augmentation for medical image segmentation
Image colorization: A survey and dataset
PointLMDA: Local masked reconstruction and structural prediction for self-supervised domain adaptation on 3D point clouds
A bargaining game based feedback mechanism to support consensus in dynamic social network group decision making
FedFR-ADP: Adaptive differential privacy with feedback regulation for robust model performance in federated learning
Multi-view contrastive clustering via integrating graph aggregation and confidence enhancement
An adaptive density clustering approach with multi-granularity fusion
A taxonomy of monotonicity properties for the aggregation of multidimensional data
Hyperspectral band selection via region-aware latent features fusion based clustering
KAN-infused social recommendation: A contrastive graph learning approach with bidirectional feature fusion
Multi-source partial multi-label learning via tensor decomposition and nonconvex regularization
Information Fusion - a new journal for the new millennium
A tutorial on uncertainty modeling for machine reasoning
Urban data fusion for spatio-temporal incident forecasting using graph attention and generative AI
FedPM-SGN: A federated graph network for aviation equipment fault diagnosis by multi-sensor fusion in decentralized and heterogeneous setting
Artificial intelligence-based suicide prevention and prediction: A systematic review (2019-2023)
Uncertainty-aware multi-view evidence fusion for feature selection in brain network analysis
Information Fusion in the context of Biomedical Applications
Deep evidential fusion with uncertainty quantification and reliability learning for multimodal medical image segmentation
A review of emerging research directions in Abstract Visual Reasoning
Understanding behavioral dynamics of social anxiety among college students through smartphone sensors
Multi-classifier fusion
Transferable image synthesis for remote sensing semantic segmentation via joint reference-semantic fusion
An efficient cross-view image fusion method based on selected state space and hashing for promoting urban perception
The deficit of new information in diffusion models: a focus on diverse samples
A special issue on high-level information fusion
Ensemble deep learning approach for marine vessel classification: Integrating CNN and vision transformers with machinery feature enhancement
Data fusion and transfer learning empowered granular trust evaluation for Internet of Things
GF-SVD: Global knowledge-infused singular value decomposition of large language models
A novel deep network with triangular-star spatial-spectral fusion encoding and entropy-aware double decoding for coronary artery segmentation
Finding hate speech with auxiliary emotion detection from self-training multi-label learning perspective
Cross-modal zero-sample diagnosis framework utilizing non-contact sensing data fusion
Response to "Addendum for the TBM global distance measure for the association of uncertain combat ID declarations" by B. Ristic, M.C. Florea and E. Boissé
Conti-Fuse: A novel continuous decomposition-based fusion framework for infrared and visible images
Hypergraph convolutional networks with multi-ordering relations for cross-document event coreference resolution
Survey on federated learning threats: Concepts, taxonomy on attacks and defences, experimental study and challenges
Information fusion for robust 'context and driver aware' active vehicle safety systems
A Lattice-Computing ensemble for reasoning based on formal fusion of disparate data types, and an industrial dispensing application
A dynamic multiple classifier system using graph neural network for high dimensional overlapped data
No escape: Towards suggestive clues guidance for cross-modality person re-identification
GraphEdge: Dynamic graph partition and task scheduling for GNNs computing in edge network
Fusing synergistic information from multi-sensor images: An overview from implementation to performance assessment
MoMD Transformer: adaptive multi-modal fault diagnosis via knowledge transfer with vibration-current signals
PAREformer: positional adaptive and recurrent enhanced transformer for time series forecasting
Multimodal Co-learning: Challenges, applications with datasets, recent advances and future directions
Information fusion in wireless sensor networks with source correlation
I sense overeating: Motif-based machine learning framework to detect overeating using wrist-worn sensing
A multi-view-based noise correction algorithm for crowdsourcing learning
Our silver jubilee issue - Arriving at another milestone
Bias estimation for asynchronous multi-rate multi-sensor fusion with unknown inputs
Information fusion in the immune system
Using Hellinger and Bures metrics to construct two-dimensional quantum metric space for weather data fusion
LPPTE: A lightweight privacy-preserving trust evaluation scheme for facilitating distributed data fusion in cooperative vehicular safety applications
Multi-stage multimodal fusion network with language models and uncertainty evaluation for early risk stratification in rheumatic and musculoskeletal diseases
AMGNet: Adaptive multi-granularity decoupling network for multimodal sarcasm detection
Information fusion in content based image retrieval: A comprehensive overview
Multi-source brain computing with systematic fusion for smart health
Fuzzy multiattribute group decision making based on intuitionistic fuzzy sets and evidential reasoning methodology
Corrigendum to 'Multisensor data fusion: A review of the state-of-the-art' [Information Fusion 14 (1) (2013) 28-44]
Data fusion in neuromarketing: Multimodal analysis of biosignals, lifecycle stages, current advances, datasets, trends, and challenges
JTFNet: A joint time-frequency domain network for multivariate time series forecasting
Eco-friendly integration of shared autonomous mobility on demand and public transit based on multi-source data
Attentional filtering: Dynamic system state estimation as an attention
A new boosting algorithm for improved time-series forecasting with recurrent neural networks
Composition of Constraint, Hypothesis and Error Models to improve interaction in Human-Machine Interfaces
Multi-sensor data fusion for smart healthcare: optimizing specialty-based classification of imbalanced EMRs
LLM-DG: Leveraging large language model for enhanced disease prediction via inter-patient and intra-patient modeling
Multi-sensor multi-rate fusion estimation for networked systems: Advances and perspectives
Representation learning for knowledge fusion and reasoning in Cyber-Physical-Social Systems: Survey and perspectives
Learning disentangled user representation with multi-view information fusion on social networks
MGSFformer: A Multi-Granularity Spatiotemporal Fusion Transformer for air quality prediction
Interband structure modeling for Pan-sharpening of very high-resolution multispectral images
EPSO-net: A multi-objective evolutionary neural architecture search with PSO-guided mutation fusion for explainable brain tumor segmentation
A multilevel information fusion approach for visual quality inspection
An extension of statistical decision theory with information theoretic cost functions to decision fusion: Part II
WDLformer: A novel mid-term load forecasting network considering weather score and distribution shift based on multi-encoders frequency fusion approach
A review of source term estimation methods for atmospheric dispersion events using static or mobile sensors
Situation awareness within the context of connected cars: A comprehensive review and recent trends
Multi-sensor temporal-spatial graph network fusion empirical mode decomposition convolution for machine fault diagnosis
Decomposition theorems and extension principles for hesitant fuzzy sets
A review of fake news detection based on transfer learning
A dynamic hybrid trust network-based dual-path feedback consensus model for multi-attribute group decision-making in intuitionistic fuzzy environment
Efficient and accurate structural fusion of Bayesian networks
Confidence measures for multimodal identity verification
Relational Fusion-based Stock Selection with Neural Recursive Ordinary Differential Equation Networks
From target tracking to targeting track - part I: a metric for spatio-temporal trajectory evaluation
Social context in sentiment analysis: Formal definition, overview of current trends and framework for comparison
Cross-view Graph Matching Guided Anchor Alignment for Incomplete Multi-view Clustering
Multi-view stacking for activity recognition with sound and accelerometer data
Web information fusion: A review of the state of the art
Theoretical analysis of Tsallis entropy-based quality measure for weighted averaging image fusion
3D Human Pose Estimation from multi-view thermal vision sensors
Pred-ID: Future event prediction based on event type schema mining by graph induction and deduction
A study of cognitive strategies for an autonomous search
AirGPT: Spatio-temporal large language model for air quality prediction
Collaborative structure and feature learning for multi-view clustering
Social network large-scale group decision-making considering dynamic trust relationships and historical preferences of decision makers in opinion evolution
Competitive resource allocation on a network considering opinion dynamics with self-confidence evolution
Distributed fusion filter for multi-sensor systems with finite-step correlated noises
Preprocessed dynamic classifier ensemble selection for highly imbalanced drifted data streams
Collaborative detection and power allocation framework for target tracking in multiple radar system
An extension of multi-attribute group decision making method based on quantum-like Bayesian network considering the interference of beliefs
GrFormer: A novel Transformer on Grassmann manifold for infrared and visible image fusion
Online public opinion prediction based on rolling fractional grey model with new information priority
C2M-DoT: Cross-modal consistent multi-view medical report generation with domain transfer network
A measure of competence based on random classification for dynamic ensemble selection
Revealing community structures by ensemble clustering using group diffusion
Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence
Zero-shot sim-to-real transfer using Siamese-Q-Based reinforcement learning
DiCyc: GAN-based deformation invariant cross-domain information fusion for medical image synthesis
PointGS: Bridging and fusing geometric and semantic space for 3D point cloud analysis
Time Aware Knowledge Extraction for microblog summarization on Twitter
Light-weight monocular depth estimation via transformer-fusion for monocular visual SLAM
SIREN: Scalable isotropic recursive column multimodal neural architecture
Clustering belief functions based on attracting and conflicting metalevel evidence using Potts spin mean field theory
Unified multimodal fusion transformer for few shot object detection for remote sensing images
THPFF: A tensor-based high-precision feature fusion model for multi-source data in smart healthcare systems
Classifier ensembles: Select real-world applications
A comprehensive survey on image fusion: Which approach fits which need
A non-threshold consensus model based on the minimum cost and maximum consensus-increasing for multi-attribute large group decision-making
Distributed data source verification in wireless sensor networks
LeCDSR: Large language model enhanced cross-domain sequential recommendation
Automated privacy-preserving techniques via meta-learning
FaceExpr: Personalized facial expression generation via attention-focused U-Net feature fusion in diffusion models
Integrating biological and machine intelligence: Attention mechanisms in brain-computer interfaces
A paired-comparison approach for fusing preference orderings from rank-ordered agents
On developing an automatic threshold applied to feature selection ensembles
Continual learning for robotics: Definition, framework, learning strategies, opportunities and challenges
A trust-similarity analysis-based clustering method for large-scale group decision-making under a social network
Fusion of electrorotation frequency estimates
Kernel combination via debiased object correspondence analysis
Partially-supervised learning from facial trajectories for face recognition in video surveillance
Pedestrian Re-identification Algorithm Based on Visual Attention-positive Sample Generation Network Deep Learning Model
Self-supervised representation learning for geospatial objects: A survey
Vision-Language Models in medical image analysis: From simple fusion to general large models
MARESye: A hybrid imaging system for underwater robotic applications
Feasibility study of a multi-criteria decision-making based hierarchical model for multi-modality feature and multi-classifier fusion: Applications in medical prognosis prediction
Integration of acoustic and articulatory information with application to speech recognition
Using consensus and distances between generalized multi-attribute linguistic assessments for group decision-making
Improving deepfake detection with predictive inter-modal alignment and feature reconstruction in audio-visual asynchrony scenarios
Ensembles for feature selection: A review and future trends
The multiscale directional bilateral filter and its application to multisensor image fusion
Multi-view information fusion based on federated multi-objective neural architecture search for MRI semantic segmentation
Towards the generalization of multi-view learning: An information-theoretical analysis
PCF-LLM: scaling LLMs for multimodal understanding of structured scientific data in photonic crystal fiber sensors
Consistency analysis of complex fuzzy preferences for two-stage group decision-making with risk perception of prospect theory
Integrating heterogeneous sources for predicting question temporal anchors across Yahoo! Answers
DT-F Transformer: Dual transpose fusion transformer for polarization image fusion
CDTFAFN: A novel coarse-to-fine dual-scale time-frequency attention fusion network for machinery vibro-acoustic fault diagnosis
Credit card fraud detection: A fusion approach using Dempster-Shafer theory and Bayesian learning
Explainable knowledge graph embeddings for industrial process monitoring & control
A multi-scale information fusion-based multiple correlations for unsupervised attribute selection
Application of automatic vehicle identification technology for real-time journey time estimation
ModiFedCat: A multi-modal distillation based federated catalytic framework
Overview of the combination of biometric matchers
A concurrent spectral-screening PCT algorithm for remote sensing applications
Graph spatiotemporal process for multivariate time series anomaly detection with missing values
Survey on data fusion approaches for fall-detection
AOGN-CZSL: An Attribute- and Object-Guided Network for Compositional Zero-Shot Learning
MedViA: Empowering medical time series classification with vision augmentation and multimodal fusion
ObjSegAD-Net: Region-aware pseudo-defect injection and dual-branch architecture for unsupervised industrial anomaly detection
Unbox the black-box for the medical explainable AI via multi-modal and multi-centre data fusion: A mini-review, two showcases and beyond
Cross-source transformer-based neighborhood contrastive learning for joint classification of hyperspectral and LiDAR Data
Efficient integration of RSSI for tracking using Wireless Camera Networks
Confidence ensembles: Tabular data classifiers on steroids
Semantic understanding and prompt engineering for large-scale traffic data imputation
ORC-GNN: A novel open set recognition based on graph neural network for multi-class classification of psychiatric disorders
Medical image fusion using multi-level local extrema
Contextual deep learning-based audio-visual switching for speech enhancement in real-world environments
Object-Level and Scene-Level Feature Aggregation with CLIP for scene recognition
Faceted fusion of RDF data
Competitive targeted marketing in social networks with switching topology: Seed selection and consensus shaping
Deep learning for pedestrian collective behavior analysis in smart cities: A model of group trajectory outlier detection
A comprehensive survey of visible and infrared imaging in complex environments: Principle, degradation and enhancement
Cross-modal semantic aligning and neighbor-aware completing for robust text-image person retrieval
Efficient lower layers parameter decoupling personalized federated learning method of facial expression recognition for home care robots
IVFuseNet: Fusion of infrared and visible light images for depth prediction
HS 2 P: Hierarchical spectral and structure-preserving fusion network for multimodal remote sensing image cloud and shadow removal
Time-dependent trip generation for bike sharing planning: A multi-task memory-augmented graph neural network
Grid-based localization and local mapping with moving object detection and tracking
Explaining tree ensembles through single decision trees
Adversarial filtering based evasion and backdoor attacks to EEG-based brain-computer interfaces
A dual branch graph neural network based spatial interpolation method for traffic data inference in unobserved locations
Multisource information fusion-based environment perception and dynamic model of underwater vehicle in irregular ocean environment
The trajectory motion model based TPHD and TCPHD filters for maneuvering targets
A multiview-slice feature fusion network for early diagnosis of Alzheimer's disease with structural MRI images
The fusion process of interval opinions based on the dynamic bounded confidence
MB-DDPM: microbiome simulation based on the denoising diffusion probabilistic model
Hybrid Architectures Ensemble Learning for pseudo-label refinement in semi-supervised segmentation
Natural computing methods in bioinformatics: A survey
A multimodal information fusion framework for accurate and robust prediction of drug-drug interactions
Invariant algebra and the fusion of multi-spectral information
Exploring the balance between interpretability and performance with carefully designed constrainable Neural Additive Models
Adversarial evasion attacks detection for tree-based ensembles: A representation learning approach
Image fusion for the novelty rotating synthetic aperture system based on vision transformer
Revisiting crowd behaviour analysis through deep learning: Taxonomy, anomaly detection, crowd emotions, datasets, opportunities and prospects