yusuke1997/dblp-id-title huggingface dataset:
Managing manipulative and non-cooperative behaviors in large scale group decision making based on a WeChat-like interaction network
Phase-specific augmented reality guidance for microscopic cataract surgery using spatiotemporal fusion network
Few-shot harmful meme detection via self-adaption mixture-of-experts
Reasoning with multiple-source information in a possibilistic logic framework
The fusion of visual lip movements and mixed speech signals for robust speech separation
A comprehensive survey on multimodal medical signals fusion for smart healthcare systems
A comprehensive evaluation method for frailty based on semi-supervised learning and transfer-learning
Embracing knowledge integration from the vision-language model for federated domain generalization on multi-source fused data
LTFormer: A light-weight transformer-based self-supervised matching network for heterogeneous remote sensing images
Trust verification in information fusion-based autonomous monitoring systems using 9-valued logic
A framework for integrating information sources under lattice structure
AutoGRN: An adaptive multi-channel graph recurrent joint optimization network with Copula-based dependency modeling for spatio-temporal fusion in electrical power systems
Dynamic emotion modelling and anomaly detection in conversation based on emotional transition tensor
Integrating model- and data-driven methods for synchronous adaptive multi-band image fusion
Information extraction from sensor networks using the Watershed transform algorithm
An evaluation of several fusion algorithms for anti-tank landmine detection and discrimination
Multiple graph kernel learning based on GMDH-type neural network
Multi-level multi-type self-generated knowledge fusion for cardiac ultrasound segmentation
Fusion of multiple classifiers
A multiple k -means clustering ensemble algorithm to find nonlinearly separable clusters
Fusing sequential recommender and ad-hoc planner for multi-faceted preference understanding in conversational recommendation
Toward domain adaptation with open-set target data: Review of theory and computer vision applications
Diversity-aware classifier ensemble selection via f-score
Efficient Multispectral Object Detection with attentive feature aggregation leveraging zero-shot implicit illumination guidance
Comprehensive Multi-view Representation Learning
LDSENet: A Lightweight Detail Semantic Enhancement Network for accurate water body extraction
Anaphora and coreference resolution: A review
Gaze-guided CT image retargeting by multi-attribute binary hashing
A distributed particle-PHD filter using arithmetic-average fusion of Gaussian mixture parameters
Deep ensemble neural-like P systems for segmentation of central serous chorioretinopathy lesion
Intrusion detection in computer networks by a modular ensemble of one-class classifiers
A cardinality modified product multi-sensor PHD
The axiomatization of asymmetric disjunction and conjunction
Multi-data source fusion
A novel hybrid macroscopic fundamental diagram-informed deep learning method for lane-level traffic prediction
Hesitant fuzzy information for information fusion in decision making
Dynamic identification of coal-rock interface based on adaptive weight optimization and multi-sensor information fusion
MSF-Net: Multi-stage fusion network for emotion recognition from multimodal signals in scalable healthcare
Revealing causality between heterogeneous data sources with deep restricted Boltzmann machines
MinJoT: Multimodal infusion Joint Training for noise learning in text and multimodal classification problems
Shapley-based feature augmentation
Spatiotemporal gated traffic trajectory simulation with semantic-aware graph learning
Cokriging for cross-attribute fusion in sensor networks
GCFA: Generative class feature fusion with agent attention for medical text classification
EFGDAS-MU: Efficient and fine-grained data aggregation scheme for multi-user in cloud-assisted IoT
Interpretable generative and discriminative learning for multimodal and incomplete clinical data
Span-aware temporal aggregation network for video moment retrieval
Con-MGSVM: Controllable multi-granularity support vector algorithm for classification and regression
Fusing heterogeneous tri-dimensional information for reconstructing submerged structures in harsh sub-sea environments
Saliency-aware multi-resolution graph fusion via self-supervised contrastive learning for robust ultrasound endometrial cancer diagnosis
Ordinal and joint feedback mechanisms to support group consensus based on interval-valued number with self-confidence
SAMamba: Adaptive state space modeling with hierarchical vision for infrared small target detection
A low-stress dual-modal imaging system and dead chicken detection method for commercial layer farms
MvTuckER: Multi-view knowledge graphs representation learning based on tensor tucker model
Alzheimer's disease multiclass diagnosis via multimodal neuroimaging embedding feature selection and fusion
Subgraph-focused biomedical knowledge embedding with bi-semantic encoder for multi-type drug-drug interaction prediction
Dynamical order construction in data fusion
Information fusion for edge intelligence: A survey
Efficient belief rule-based network for planetary gearbox wear state characterization using multi-channel lubricant debris information
Advances in multimodal data fusion in neuroimaging: Overview, challenges, and novel orientation
A systematic review of generative adversarial networks for traffic state prediction: Overview, taxonomy, and future prospects
STSNet: A cross-spatial resolution multi-modal remote sensing deep fusion network for high resolution land-cover segmentation
Cloud storage-based secure big data analytics mechanism for drone-assisted healthcare 5.0 data fusion system
Multi-classifier information fusion in risk analysis
A comparative study of classifier combination applied to NLP tasks
Optimal symbolic entropy: An adaptive feature extraction algorithm for condition monitoring of bearings
TSK fuzzy system fusion at sensitivity-ensemble-level for imbalanced data classification
Multi-source information fusion for smart health with artificial intelligence
Knowledge Graphs for Multi-modal Learning: Survey and Perspective
A tour of BeAware - A situation awareness framework for control centers
Disentanglement Translation Network for multimodal sentiment analysis
Federated fusion learning with attention mechanism for multi-client medical image analysis
A multi-temporal multi-sensor circular fusion filter
OLP++: An online local classifier for high dimensional data
Multi-criteria assessment of user trust in Social Reviewing Systems with subjective logic fusion
Diversity in search strategies for ensemble feature selection
Enhancing few-shot lifelong learning through fusion of cross-domain knowledge
Multi-sensor information fusion based on machine learning for real applications in human activity recognition: State-of-the-art and research challenges
A message passing approach for decision fusion in adversarial multi-sensor networks
AI-Skin: Skin disease recognition based on self-learning and wide data collection through a closed-loop framework
Architecture for management and fusion of context information
Contrastive sentence representation learning with adaptive false negative cancellation
Entropy-regulated cross-modal generative fusion for multimodal network intrusion detection
Span-based syntactic feature fusion for aspect sentiment triplet extraction
On consensus reaching process based on social network analysis in uncertain linguistic group decision making: Exploring limited trust propagation and preference modification attitudes
High-performance scheduling model for multisensor gateway of cloud sensor system-based smart-living
A two-stage consensus model for large-scale group decision-making considering dynamic social networks
3D-Guided Multi-Feature semantic enhancement network for person re-ID
An empirical study of binary classifier fusion methods for multiclass classification
Zonotopic distributed fusion for 2-D nonlinear systems under binary encoding schemes: An outlier-resistant approach
Dynamic adaptive consensus reaching process with risk attitude for multi-criteria group decision making
AiCareGaitRehabilitation: Multi-modalities sensor data fusion for AI-IoT enabled realtime electrical stimulation device for pre-Fog and post-Fog to person with Parkinson's Disease
Choosing the proper autoencoder for feature fusion based on data complexity and classifiers: Analysis, tips and guidelines
Tensor-driven face recognition: Integrating super-resolution and multilinear subspace learning for low-resolution images
GenRAN: GenFusion-guided Reversible Anonymization Network for face privacy preserving
Security of LLM-based agents regarding attacks, defenses, and applications: A comprehensive survey
Object shape and camera motion recovery using sensor fusion of a video camera and a gyro sensor
Fusion-enhanced multi-label feature selection with sparse supplementation
EmbraceNet: A robust deep learning architecture for multimodal classification
MM5: Multimodal image capture and dataset generation for RGB, depth, thermal, UV, and NIR
Modality-aligned anchor learning based on multi-level fusion for accurate scene graph generation
Fusion of multispectral data through illumination-aware deep neural networks for pedestrian detection
Enhancing graph convolutional networks with an efficient k-hop neighborhood approach
DS-HBI: Dual-stream fusion forecasting model with historical backfilling imputation
Environment-fusion multipath routing protocol for wireless sensor networks
A second-order uncertainty model for target classification using kinematic data
Addressing information bottlenecks in graph augmented large language models via graph neural summarization
Multimodal fusion and vision-language models: A survey for robot vision
Scalable data fusion via a scale-based hierarchical framework: Adapting to multi-source and multi-scale scenarios
Managing noncooperative behaviors in large-scale group decision-making with linguistic preference orderings: The application in Internet Venture Capital
ViTs as backbones: Leveraging vision transformers for feature extraction
Evolving multi-user fuzzy classifier system with advanced explainability and interpretability aspects
Land cover change detection with hyperspectral remote sensing images: A survey
Hierarchical multimodal-fusion of physiological signals for emotion recognition with scenario adaption and contrastive alignment
Reply to Erratum to "A new look at IHS-like image fusion methods"
DADIGAN: A dual attention blocks-based disentangled iterative Generative Adversarial Network for cloud and shadow removal on SAR and optical images
Piece-wise loss guided multi-resolution data fusion learning for false data injection attack detection in smart grids
A unified speech enhancement approach to mitigate both background noises and adversarial perturbations
DF3Net: Dual frequency feature fusion network with hierarchical transformer for image inpainting
Data fabric and digital twins: An integrated approach for data fusion design and evaluation of pervasive systems
An investigation into the effects of label noise on Dynamic Selection algorithms
Hierarchical Mixture-of-Experts model for unified code search
Large multimodal model-based intent prompting learning for multimedia recommendation
Software defined radio frequency sensing framework for Internet of Medical Things
Multi-dimensional shared representation learning with graph fusion network for Session-based Recommendation
A systematic literature review of low-cost 3D mapping solutions
Training neural networks on data sources with unknown reliability
Information fusion for large-scale multi-source data based on the Dempster-Shafer evidence theory
D3WC: Deep three-way clustering with granular evidence fusion
Data-driven large-scale group graph model for conflict resolution under the three-dimensional preference
Anomaly detection for microservice system via augmented multimodal data and hybrid graph representations
Zonotopic multi-sensor fusion estimation with mixed delays under try-once-discard protocol: A set-membership framework
Uncertainty-driven ensembles of multi-scale deep architectures for image classification
Memory-biomimetic deep Bayesian filtering
Artificial intelligence-enabled detection and assessment of Parkinson's disease using multimodal data: A survey
Explainable Artificial Intelligence (XAI) 2.0: A manifesto of open challenges and interdisciplinary research directions
A systematic review on affective computing: emotion models, databases, and recent advances
Optimal decision fusion when priori probabilities and risk functions are fuzzy
DNIM: Deep-sea netting intelligent enhancement and exposure monitoring using bio-vision
STFDiff: Remote sensing image spatiotemporal fusion with diffusion models
CrossFuse: A novel cross attention mechanism based infrared and visible image fusion approach
Enhancements to high level data fusion using graph matching and state space search
MEGACare: Knowledge-guided multi-view hypergraph predictive framework for healthcare
A hypergraph-based hybrid graph convolutional network for intracity human activity intensity prediction and geographic relationship interpretation
An overview on managing additive consistency of reciprocal preference relations for consistency-driven decision making and fusion: Taxonomy and future directions
Fusion of colour contrasted images for early detection of oesophageal squamous cell dysplasia from endoscopic videos in real time
Walk in Views: Multi-view Path Aggregation Graph Network for 3D Shape Analysis
Consistency and consensus improvement models driven by a personalized normalization method with probabilistic linguistic preference relations
On the use of a multi-criteria approach for reliability estimation in belief function theory
Fusing anomaly detection with false positive mitigation methodology for predictive maintenance under multivariate time series
Analysis of Expressed and Private Opinions (EPOs) models: Improving self-cognitive dissonance and releasing cumulative pressure in group decision-making systems
Interpretability research of deep learning: A literature survey
Multi-modal fusion for robust micro-expression detection: Integrating temporal spotting and emotion classification
DHHNN: A Dynamic Hypergraph Hyperbolic Neural Network based on variational autoencoder for multimodal data integration and node classification
Deceptive evidence detection in information fusion of belief functions based on reinforcement learning
Lexicographic ordinal OWA aggregation of multiple criteria
Drug repositioning by multi-aspect heterogeneous graph contrastive learning and positive-fusion negative sampling strategy
UPLP-SLAM: Unified point-line-plane feature fusion for RGB-D visual SLAM
A survey on empathetic dialogue systems
Indic handwritten script identification using offline-online multi-modal deep network
Towards marine snow removal with fusing Fourier information
Advancing 3D point cloud understanding through deep transfer learning: A comprehensive survey
Instruction-ViT: Multi-modal prompts for instruction learning in vision transformer
Multi-exposure image fusion via deep perceptual enhancement
Genetic perceptual shaping: Utilizing cover image and conceivable attack information during watermark embedding
D-RGCN: Software defect prediction based on dual directed dependency graph reconstruction
Fusing topology contexts and logical rules in language models for knowledge graph completion
GeoSpray: A geographic routing protocol for vehicular delay-tolerant networks
Decision forest: Twenty years of research
Information fusion to detect and classify pedestrians using invariant features
Deep spatial-spectral fusion transformer for remote sensing pansharpening
Robust three-stage unscented Kalman filter for Mars entry phase navigation
Clustering pipeline for vehicle behavior in smart villages
RSRule: Relation-level semantic-driven rule learning for explainable extrapolation on temporal knowledge graphs
Communication optimization techniques in Personalized Federated Learning: Applications, challenges and future directions
Uncertain multi-conceptual information acquisition and fusion for hierarchical classification
Multimodal feature-wise co-attention method for visual question answering
A comprehensive survey and taxonomy of mamba: Applications, Challenges, and Future Directions
Perception-latency aware distributed target tracking
Multi-task emotion communication system with dynamic resource allocations
Scalable entity resolution for Web product descriptions
A survey for wearable sensors empowering smart healthcare in the era of large language models
Minimum cost consensus modelling under various linear uncertain-constrained scenarios
MDVul: A semantic-based complex dependency code vulnerability detection using fusion path
Fusion of probabilistic linguistic term sets for enhanced group decision-making: Foundations, survey and challenges
Simultaneous calibration and navigation (SCAN) of multiple ultrasonic local positioning systems
OpenViVQA: Task, dataset, and multimodal fusion models for visual question answering in Vietnamese
Distributed fusion filtering for multi-rate nonlinear systems with binary measurements under encryption and decryption scheme
A knowledge-fused maximum mean discrepancy for cross-lingual named entity recognition
Feature structure fusion and its application
DF-BSFNet: A bilateral synergistic fusion network with novel dynamic flow convolution for robust road extraction
Probabilistic study of Induced Ordered Linear Fusion Operators for time series forecasting
Parasite: planting durable backdoors against continual federated model fusion via discriminative feature pushing-pulling
A review of state-of-the-art in Face Presentation Attack Detection: From early development to advanced deep learning and multi-modal fusion methods
MMIEA: Multi-modal Interaction Entity Alignment model for knowledge graphs
CPIFuse: Toward realistic color and enhanced textures in color polarization image fusion
Fusion of point-based postal data with IKONOS imagery
FusionKD: Fusion knowledge distillation of vision-language foundation model for strip steel surface defect detection
Cognitively-engineered multisensor image fusion for military applications
An optimized architecture for classification combining data fusion and data-mining
Opinion Mining and Information Fusion: A survey
Multi-modal gait: A wearable, algorithm and data fusion approach for clinical and free-living assessment
A clustering method for large-scale group decision-making with multi-stage hesitant fuzzy linguistic terms
Global feedback mechanism by explicit and implicit power for group consensus in social network
M-FCCL: Memory-based concept-cognitive learning for dynamic fuzzy data classification and knowledge fusion
A unified feature-spatial cycle consistency fusion framework for robust image matching
New trends of information fusion in decision making
Preference rules for label ranking: Mining patterns in multi-target relations
Auth-Graph: GenAI-empowered attribute-masked backdoor for on-demand authorizable graph learning
Three-way decision oriented rational behavior multi-attribute decision-making
Multi-sensor distributed fusion estimation with applications in networked systems: A review paper
Multi-view and Multi-order Graph Clustering via Constrained l1,2-norm
Jointly registering and fusing images from multiple sensors
A survey on multi-label feature selection from perspectives of label fusion
2D/3D Image morphing technology from traditional to modern: A survey
A special issue on diversity in multiple classifier systems
High quality 3D reconstruction based on fusion of polarization imaging and binocular stereo vision
A comprehensive survey on regularization strategies in machine learning
Distributed multiple model joint probabilistic data association with Gibbs sampling-aided implementation
Quantum-inspired recommendation approach based on user holographic perception under deep collaboration of large model
MBUDet: Misaligned bimodal UAV target detection via target offset label generation
Deep learning-based low overlap point cloud registration for complex scenario: The review
A multimodal data generation method for imbalanced classification with dual-discriminator constrained diffusion model and adaptive sample selection strategy
A minimum adjustment cost feedback mechanism based consensus model for group decision making under social network with distributed linguistic trust
Mining and reasoning of data uncertainty-induced imprecision in deep image classification
A generalization of multi-source fusion-based framework to stock selection
System synthesis with morphological clique problem: fusion of subsystem evaluation decisions
Integrating imprecise data in generative models using interval-valued Variational Autoencoders
Towards investigating influencers in complex social networks using electric potential concept from a centrality perspective
Integrating knowledge from knowledge graphs and large language models for explainable entity alignment
UPanGAN: Unsupervised pansharpening based on the spectral and spatial loss constrained Generative Adversarial Network
Discrete opinion dynamics in social networks with stubborn agents and limited information
Human activity recognition using binary sensors: A systematic review
Taxonomic knowledge structure discovery from imagery-based data using the neural associative incremental learning (NAIL) algorithm
Learning to simultaneously enhance field of view and dynamic range for light field imaging
Goal-oriented multi-robot collaborative source search with dynamic exploration-exploitation balance in large-scale constrained areas
Diversified binary relation-based fuzzy multigranulation rough set over two universes and application to multiple attribute group decision making
Adapting the segment anything model for multi-modal retinal anomaly detection and localization
Dwarfism computer-aided diagnosis algorithm based on multimodal pyradiomics
Remoteness index-based Pythagorean fuzzy VIKOR methods with a generalized distance measure for multiple criteria decision analysis
Map Aided Localization and vehicle guidance using an active landmark search
Multi-feature, multi-modal, and multi-source social event detection: A comprehensive survey
PPSTSL: A Privacy-preserving Dynamic Spatio-temporal Graph Data Federated Split Learning for traffic forecasting
Performance comparison of different multi-resolution transforms for image fusion
A comprehensive survey on multi-sensor information processing and fusion for BEV perception in autonomous vehicles
Next-generation coupled structure-human sensing technology: Enhanced pedestrian-bridge interaction analysis using data fusion and machine learning
Multibiometric fusion strategy and its applications: A review
A dynamic trust and prospect theory driven bilateral feedback mechanism for maximizing consensus income in social network group decision making
A segment anything model for transesophageal echocardiography based on bidirectional spatiotemporal context fusion
Selective encryption on ECG data in body sensor network based on supervised machine learning
An empirical survey-type analysis of uncertainty measures for the fusion of crisp and fuzzy bodies of evidence
The analysis of expert opinions' consensus quality
QNMF: A quantum neural network based multimodal fusion system for intelligent diagnosis
Multimodal research in vision and language: A review of current and emerging trends
CSF: Crowdsourcing semantic fusion for heterogeneous media big data in the internet of things
On information fusion to improve segmentation of MRI sequences
TC-MGC: Text-conditioned multi-grained contrastive learning for text-video retrieval
METC: A Hybrid Deep Learning Framework for Cross-Network Encrypted DNS over HTTPS Traffic Detection and Tunnel Identification
Fractional light gradient boosting machine ensemble learning model: A non-causal fractional difference descent approach
Language-guided reasoning segmentation for underwater images
Generalized Atanassov's intuitionistic fuzzy power geometric operators and their application to multiple attribute group decision making