yusuke1997/dblp-id-title huggingface dataset:
TCIP: Network with topology capture and incongruity perception for sarcasm detection
Recursive state estimation for state-saturated systems with two groups of measurements: Handling delayed and degraded sensors
Multimodal fuzzy semantic fusion modeling for community disaster damage assessment from social sensing
Spatio-temporal visual learning for home-based monitoring
Fusing uncertain knowledge and evidence for maritime situational awareness via Markov Logic Networks
Stereo and ToF data fusion by learning from synthetic data
Reaching a minimum adjustment consensus in social network group decision-making
An adaptive group decision making framework: Individual and local world opinion based opinion dynamics
Ensemble learning for data stream analysis: A survey
Social network group decision making with minimum cost and maximum satisfaction consensus based on bargaining game
A new distance between two bodies of evidence
Reimagining multi-criterion decision making by data-driven methods based on machine learning: A literature review
Multimodal Earth observation data fusion: Graph-based approach in shared latent space
Dual-attentional time-aware fusion networks for knowledge tracing
Robust image registration for fusion
Decentralized Bayesian algorithms for active sensor networks
SpaFusion: A multi-level fusion model for clustering spatial multi-omics data
Multi-correntropy fusion based fuzzy system for predicting DNA N4-methylcytosine sites
COMIC: An unsupervised change detection method for heterogeneous remote sensing images based on copula mixtures and Cycle-Consistent Adversarial Networks
Detecting communities with multiple topics in attributed networks via self-supervised adaptive graph convolutional network
Enhancing trust in automated 3D point cloud data interpretation through explainable counterfactuals
Expert knowledge-guided multi-granularity multi-scale fusion for weakly-supervised histological segmentation
End-to-end privacy-preserving image retrieval in cloud computing via anti-perturbation attentive token-aware vision transformer
InScope: A new real-world 3D infrastructure-side collaborative perception dataset for open traffic scenarios
Bidirectional linear recurrent models for sequence-level multisource fusion
Hypergraph attention and periodic fusion learning for enhanced flight delay prediction
Online-review analysis based large-scale group decision-making for determining passenger demands and evaluating passenger satisfaction: Case study of high-speed rail system in China
Use of Bayesian data reduction for the fusion of legacy classifiers
Data fusion in intelligent transportation systems: Progress and challenges - A survey
Explainable artificial intelligence and advanced feature selection methods for predicting gas concentration in longwall mining
Fusion of multiple approximate nearest neighbor classifiers for fast and efficient classification
Choosing a track association method
Fusionplex: resolution of data inconsistencies in the integration of heterogeneous information sources
Behavior-Pred: A semantic-enhanced trajectory pre-training framework for motion forecasting
Bi-stream graph learning based multimodal fusion for emotion recognition in conversation
Multi-body sensor data fusion to evaluate the hippotherapy for motor ability improvement in children with cerebral palsy
Vehicle localization in an explainable dynamic Bayesian network framework for self-aware agents
A data-driven fused kernel density estimator for multi-modal distribution
A scalable dynamic ensemble selection using fuzzy hyperboxes
The Bonferroni mean-type pre-aggregation operators construction and generalization: Application to edge detection
Pixel-level image fusion: A survey of the state of the art
Distributed weighted robust Kalman filter fusion for uncertain systems with autocorrelated and cross-correlated noises
Corrigendum to "Nonlinear unknown input observability and unknown input reconstruction: The general analytical solution" [Inf. Fusion 85 (2022) 23-51]
Sketch-based feature fusion and complement for robust sketch-to-voxel reconstruction
Smart system for children's chronic illness monitoring
Group sparse representation based classification for multi-feature multimodal biometrics
Building of transformer-based RUL predictors supported by explainability techniques: Application on real industrial datasets
Dynamic personalized health management through the Health Assistant AI Fusion Framework
KaTaGCN: Knowledge-Augmented and Time-Aware Graph Convolutional Network for efficient traffic forecasting
Decoupled prompt learning guided by chain-of-task
A survey of data fusion in smart city applications
Zero-shot stance detection based on multi-perspective transferable feature fusion
GPS/IMU data fusion using multisensor Kalman filtering: introduction of contextual aspects
Robust image recognition by fusion of contextual information
Multi-level correlation mining framework with self-supervised label generation for multimodal sentiment analysis
A pre-trained multi-representation fusion network for molecular property prediction
Knowledge distillation-driven semi-supervised multi-view classification
High level information fusion for tracking and projection of multistage cyber attacks
A comprehensive taxonomy of machine consciousness
FER-VMamba: A robust facial expression recognition framework with global compact attention and hierarchical feature interaction
Seeking commonness and inconsistencies: A jointly smoothed approach to multi-view subspace clustering
Multi-tissue deep fusion network for prediction of pulmonary metastasis in hepatocellular carcinoma
Hierarchical fusion of multi-spectral face images for improved recognition performance
Accurate forecasting on few-shot learning with a novel inference foundation model
Multi-Category Fusion Contrastive Learning with Core Data Selection for Robust RGB Image-based Dental Caries Classification
Quantum Fuzzy Neural Network for multimodal sentiment and sarcasm detection
Erratum to "A new look at IHS-like image fusion methods" [Information Fusion 2 (2001) 177-186]
Evidence representation of uncertain information on a frame of discernment with semantic association
An analysis model of diagnosis and treatment for COVID-19 pandemic based on medical information fusion
Learning deformable hypothesis sampling for patchmatch multi-view stereo in the wild
Sustainable transparency on recommender systems: Bayesian ranking of images for explainability
A sensor fusion approach for drowsiness detection in wearable ultra-low-power systems
A selection framework of sensor combination feature subset for human motion phase segmentation
On the syntax and semantics of virtual linguistic terms for information fusion in decision making
Multi-view learning and model fusion framework for threat detection in multi-protocol IoMT networks
Expertise-based consensus building for MCGDM with hesitant fuzzy linguistic information
Intelligent video surveillance in crowded scenes
Deep unsupervised learning based on color un-referenced loss functions for multi-exposure image fusion
Optimal group selection model for large-scale group decision making
Prompt2Act: Mapping prompts into sequence of robotic actions with large foundation models
Multi-source multi-modal domain adaptation
Multimodal sentiment analysis with unimodal label generation and modality decomposition
Are alternatives to Dempster's rule of combination real alternatives?: Comments on "About the belief function combination and the conflict management problem" - Lefevre et al
FedCPD: Addressing label distribution skew in federated learning with class proxy decoupling and proxy regularization
Memory association guided unsupervised anomaly detection with adaptive 3D attention
External multi-modal imaging sensor calibration for sensor fusion: A review
Multi-GNSS PPP/INS/Vision/LiDAR tightly integrated system for precise navigation in urban environments
Adaptive sliding window based activity recognition for assisted livings
Multi-task learning with Multi-view Weighted Fusion Attention for artery-specific calcification analysis
Editorial: Information fusion for ubiquitous computing
The robust maximum expert consensus model with risk aversion
A review of uncertainty quantification in deep learning: Techniques, applications and challenges
Managing flexible linguistic expressions with subjective preferences and objective information in group decision-making: A perspective based on personalized individual semantics
Addressing uncertainty in multi-modal fusion for improved object detection in dynamic environment
Image fusion techniques for remote sensing applications
Hybrid spatial-temporal graph neural network for traffic forecasting
A review of affective computing: From unimodal analysis to multimodal fusion
Trustworthy multi-view clustering via alternating generative adversarial representation learning and fusion
Linear uncertain extensions of the minimum cost consensus model based on uncertain distance and consensus utility
Big Data: Tutorial and guidelines on information and process fusion for analytics algorithms with MapReduce
Social network community analysis based large-scale group decision making approach with incomplete fuzzy preference relations
DDBFusion: An unified image decomposition and fusion framework based on dual decomposition and Bézier curves
On target classification using kinematic data
Robust Mixed-order Graph Learning for incomplete multi-view clustering
Multimodal fusion of spatial-temporal and frequency representations for enhanced ECG classification
A perioperative risk assessment dataset with multi-view data based on online accelerated pairwise comparison
Multimodal sparse and low-rank subspace clustering
Diversity measures for multiple classifier system analysis and design
Cross-modality-enhanced visual Scene Graph Generation
MVFusion-TSC: A multi-view fusion image-based network for time series classification
Deepfakes and beyond: A Survey of face manipulation and fake detection
Collaborative DDoS defense for SDN-based AIoT with autoencoder-enhanced federated learning
Exchange rates determination based on genetic algorithms using Mendel's principles: Investigation and estimation under uncertainty
DOCODE 3.0 (DOcument COpy DEtector): A system for plagiarism detection by applying an information fusion process from multiple documental data sources
GVFL: A group-verifiable federated learning with privacy
Neural Connected Kernel based Multiple Kernel Clustering
StrFilter: Multi-modal medical image fusion via structure-oriented adaptive filtering
Fusion of Gaussian mixture models for possible mismatches of sensor model
Joint Semantic Segmentation using representations of LiDAR point clouds and camera images
An adaptive meta-imitation learning-based recommendation environment simulator: A case study on ship-cargo matching
Self-powered wireless sensor node with hybrid energy harvesting and DL-enhanced vibration sensing for bearing fault diagnosis
Multi-source data driven decision-support model for product ranking with consumer psychology behavior
Logic Augmented Multi-Decision Fusion Framework for Stance Detection on Social Media
High-order possibilistic c-means algorithms based on tensor decompositions for big data in IoT
UAV swarm based radar signal sorting via multi-source data fusion: A deep transfer learning framework
Interpretable breast cancer identification by multi-view synergistic feature fusion interaction in dense breast tissue
Recursive fusion estimation for stochastic discrete time-varying complex networks under stochastic communication protocol: The state-saturated case
Multi-focus image fusion with a deep convolutional neural network
Interpretable prognostics with concept bottleneck models
Development and evaluation of arterial incident detection models using fusion of simulated probe vehicle and loop detector data
Causal inference multi-agent reinforcement learning for traffic signal control
DependData: Data collection dependability through three-layer decision-making in BSNs for healthcare monitoring
Hybrid-ensemble-based interpretable TSK fuzzy classifier for imbalanced data
Consensus adjustment mechanism in view of coalition structure-based cooperative game for group decision making with distribution linguistic preference relations
Online detection of anomaly behaviors based on multidimensional trajectories
Information Fusion - what, where, why, when, and how? Editorial
Content based image retrieval using image features information fusion
Improving protein secondary structure predictions by prediction fusion
A new method for anomaly detection based on non-convex boundaries with random two-dimensional projections
Guest editorial: Mixture of experts and ensemble learning for big data
DeepFake detection in the AIGC era: A survey, benchmarks, and future perspectives
Eye tracking based detection of mild cognitive impairment: A review
A review of multimodal image matching: Methods and applications
Bidomain uncertainty gated recursive network for pan-sharpening
FII-DETR: Few-shot object detection with fully information interaction
Presentation and description of two classification methods using data fusion based on sensor management
Robust speech processing using multi-sensor multi-source information fusion - an overview of the state of the art
Distributed machine learning for next-generation communication networks: A survey on privacy, fairness, efficiency, and trade-offs
Federated weakly-supervised video anomaly detection with mixture of local-to-global experts
A novel distributed forecasting method based on information fusion and incremental learning for streaming time series
Combining depth and frequency features with Mamba for multi-focus image fusion
Adaptive knowledge-augmented multi-domain recommendation with large language models
A special issue on information fusion in consensus and decision making
Fuzzy m-ary adjacency relations in social network analysis: Optimization and consensus evaluation
Image fusion using intuitionistic fuzzy sets
DocRouter: Prompt guided vision transformer and Mixture of Experts connector for document understanding
A practical two-step image registration method for two-dimensional images
HIDFlowNet: A flow-based deep network for hyperspectral image denoising
Convex ensemble learning with sparsity and diversity
Physical prior-guided deep fusion network with shading cues for shape from polarization
A deep learning model based on transformer structure for radar tracking of maneuvering targets
Pedestrian detection with unsupervised multispectral feature learning using deep neural networks
EBMADDPG: Shapley-based explainable moving target defense for edge intelligence-enabled SIoT systems via joint Bayesian Markov games and DRL
Privacy protection in intelligent vehicle networking: A novel federated learning algorithm based on information fusion
Collaborative learning for unsupervised multimodal image registration: Integrating self-supervision and MIM-guided diffusion-based image translation
Spatial-temporal graph neural network traffic prediction based load balancing with reinforcement learning in cellular networks
Joint consensus evaluation of multiple objects on an ordinal scale: An approach driven by monotonicity
An improved high spatial and temporal data fusion approach for combining Landsat and MODIS data to generate daily synthetic Landsat imagery
Enhanced Frequency Fusion Network with Dynamic Hash Attention for image denoising
Deep-shallow semantic fusion inference based on graph neural network
Web warehouse - a new web information fusion tool for web mining
Real-time use of Kohonen's self-organizing maps for threat stabilization
A dual-driven hybrid tracking architecture for radar targets based on innovation
Mitigating malicious model fusion in federated learning via confidence-aware defense
Multi-view support vector machine classifier via L0/1 soft-margin loss with structural information
ReCoMIF: Reading comprehension based multi-source information fusion network for Chinese spoken language understanding
An overview of multirate multisensor systems: Modelling and estimation
Multi-modal and multi-criteria conflict analysis model based on deep learning and dominance-based rough sets: Application to clinical non-parallel decision problems
QMFND: A quantum multimodal fusion-based fake news detection model for social media
Bayesian inference and minimum consensus adjustment process for multi-attribute large-scale group decision-making in social networks
Component similarity based conflict analysis: An information fusion viewpoint
Fusing external knowledge resources for natural language understanding techniques: A survey
An ensemble based data fusion approach for early diagnosis of Alzheimer's disease
LFDT-Fusion: A latent feature-guided diffusion Transformer model for general image fusion
Average consensus of whole-process privacy protection: A scale parameter method
Emotion-relevant activity recognition based on smart cushion using multi-sensor fusion
A special issue on logic-based approaches to information fusion
Transitive full covers of incomplete preference relations
Multi-view learning for visual violence recognition with maximum entropy discrimination and deep features
Baptizo: A sensor fusion based model for tracking the identity of human poses
Counterfactual explanations for remaining useful life estimation within a Bayesian framework
MoGL: A robust multi-view learning framework for unsupervised acoustic sensing
Spatio-spectral fusion of satellite images based on dictionary-pair learning
A temporally insensitive spatio-temporal fusion method for remote sensing imagery via semantic prior regularization
CLEVR-XAI: A benchmark dataset for the ground truth evaluation of neural network explanations
Ontology-based situation awareness
Multi-label, multi-task CNN approach for context-based emotion recognition
Matrix mixer analysis for time series classification: Attention on tokenization
Semi-supervised clue fusion for spammer detection in Sina Weibo
Frequency Integration and Spatial Compensation Network for infrared and visible image fusion
A hierarchical information policy fusion framework with multimodal large language models for autonomous guidewire navigation in endovascular procedures
A review of natural language processing techniques for opinion mining systems
Adaptive structural-guided multi-level representation learning with graph contrastive for incomplete multi-view clustering
A consensus model under framework of prospect theory with acceptable adjustment and endo-confidence
Numerical integration for the Choquet integral
Multi-source aggregated classification for stock price movement prediction
A group decision making method with interval valued fuzzy preference relations based on the geometric consistency
Optimization-based probabilistic decision support for assessing building information modelling (BIM) maturity considering multiple objectives
Multimodal feature fusion for illumination-invariant recognition of abnormal human behaviors
Combining multiple scoring systems for target tracking using rank-score characteristics
An IHS and wavelet integrated approach to improve pan-sharpening visual quality of natural colour IKONOS and QuickBird images
Weighted adaptively ensemble clustering method based on fuzzy Co-association matrix
Mixture of feature specified experts
Smart anomaly detection in sensor systems: A multi-perspective review
A review of medical text analysis: Theory and practice
Group decision making with multi-attribute interval data
A novel Out-of-Distribution detection approach for Spiking Neural Networks: Design, fusion, performance evaluation and explainability
Exploiting game equilibrium mechanisms towards social trust-based group consensus reaching
Self-supervised multi-frame depth estimation with visual-inertial pose transformer and monocular guidance
Exploring adversarial deep learning for fusion in multi-color channel skin detection applications
Information fusion for intuitionistic fuzzy decision making: An overview
VCOS: Multi-scale information fusion to feature selection using fuzzy rough combination entropy
Robust fusion algorithms for unsupervised change detection between multi-band optical images - A comprehensive case study
Adaptive optimization of join trees for multi-join queries over sensor streams
SearchExpert: A GenAI-driven framework for reasoning-intensive multimedia information fusion through fine-tuning and reinforcement learning
A multi-objective decision method for the network security situation grade assessment under multi-source information
Energy-aware scheduling for information fusion in wireless sensor network surveillance
ADFusion: Multi-modal adaptive deep fusion for cancer subtype prediction
Machine learning techniques to discover genes with potential prognosis role in Alzheimer's disease using different biological sources
Dynamic collective opinion generation framework for digital transformation barrier analysis in the construction industry
Multi-task multi-objective evolutionary network for hyperspectral image classification and pansharpening
Self-supervised transformer architecture search via multi-level masked information fusion
MRFTrans: Multimodal Representation Fusion Transformer for monocular 3D semantic scene completion
Cooperative positioning for emergency responders using self IMU and peer-to-peer radios measurements
Multimodal named entity recognition in the era of large pre-trained models: A comprehensive survey
Hardening critical components to enhance grid resilience by fusing the data of power networks and natural disasters
The power average operator for unbalanced linguistic term sets
AtCAF: Attention-based causality-aware fusion network for multimodal sentiment analysis
Autosomal dominantly inherited alzheimer disease: Analysis of genetic subgroups by machine learning
A novel multi-criteria group decision-making method for heterogeneous and dynamic contexts using multi-granular fuzzy linguistic modelling and consensus measures
Adaptive multi-objective swarm fusion for imbalanced data classification
SDMP: A secure detector for epidemic disease file based on DNN
TCTR: Text-Guided Contrastive Learning with Token-Level Reconstruction Network for missing modalities in multimodal sentiment analysis
Physics-guided domain adaptation for surgical image restoration under heterogeneous aerosol degradation
Temporal-aware structure-semantic-coupled graph network for traffic forecasting
Fusion of metadata and dermoscopic images for melanoma detection: Deep learning and feature importance analysis
Patterns for context-based knowledge fusion in decision support systems
Adaptive multi-source information fusion for intelligent decision-making in emergencies: Integrating personal, event, and environmental factors
A novel Multi-Criteria Decision Making framework based on Evidential Reasoning dealing with missing information from online reviews
MetricFusion: Generalized metric swarm learning for similarity measure
AHNG: Representation learning on attributed heterogeneous network
Decomposition-Fusion for Label Distribution Learning
Fusion-based graph neural networks for synergistic underwater image enhancement
Urban flow prediction from spatiotemporal data using machine learning: A survey
Emotional lateralization-inspired spatiotemporal neural networks for EEG-based emotion recognition
A novel federated multi-view clustering method for unaligned and incomplete data fusion
ExplainLFS: Explaining neural architectures for similarity learning from local perturbations in the latent feature space
Rethinking neural architecture representation for predictors: Topological encoding in pixel space
Multi-granular linguistic distribution evidential reasoning method for renewable energy project risk assessment
A deep journey into image enhancement: A survey of current and emerging trends
Adaptive gait detection based on foot-mounted inertial sensors and multi-sensor fusion
Deep reinforcement learning in agent-based simulations for optimal media planning
ATD Learning: A secure, smart, and decentralised learning method for big data environments
Trajectory prediction for autonomous driving: Progress, limitations, and future directions
Modeling partially reliable information sources: A general approach based on Dempster-Shafer theory