yusuke1997/dblp-id-title huggingface dataset:
Multi-Agent Information Fusion System to manage data from a WSN in a residential home
Objectively adaptive image fusion
Weighted-digraph-guided multi-kernelized learning for outlier explanation
RGB-D Domain adaptive semantic segmentation with cross-modality feature recalibration
Text-Dominant Speech-Enhanced for Multimodal Aspect-Based Sentiment Analysis network
Local minimum adjustment for the consensus model with distribution linguistic preference relations considering preference reliability
SAIRUS: Spatially-aware identification of risky users in social networks
Enhancement of traffic forecasting through graph neural network-based information fusion techniques
M2WLLM: Multi-modal multi-task ultra-short-term wind power prediction algorithm based on large language model
Internet meme on social media: A comprehensive review and new perspectives
Admissible orders of typical hesitant fuzzy elements and their application in ordered information fusion in multi-criteria decision making
Low cost IMU-Odometer-GPS ego localization for unusual maneuvers
Reflections and attentiveness on eXplainable Artificial Intelligence (XAI). The journey ahead from criticisms to human-AI collaboration
Convolution-deconvolution word embedding: An end-to-end multi-prototype fusion embedding method for natural language processing
Machine learning meets advanced robotic manipulation
Privacy-preserving data integration and sharing in multi-party IoT environments: An entity embedding perspective
Emotion inference of text based on counterfactual behavior knowledge
Automatic speech recognition using advanced deep learning approaches: A survey
TMVF: Trusted Multi-View Fish Behavior Recognition with correlative feature and adaptive evidence fusion
SFGCN: Synergetic fusion-based graph convolutional networks approach for link prediction in social networks
Utility-preserving privacy protection of nominal data sets via semantic rank swapping
LRINet: Long-range imaging using multispectral fusion of RGB and NIR images
Zero-shot semi-supervised learning for pansharpening
Multi-modal lifelog data fusion for improved human activity recognition: A hybrid approach
Breaking through clouds: A hierarchical fusion network empowered by dual-domain cross-modality interactive attention for cloud-free image reconstruction
From degrade to upgrade: Learning a self-supervised degradation guided adaptive network for blind remote sensing image super-resolution
PIFGSR: Pluggable framework for information fusion using generative artificial intelligence (GenAI) in recommender systems
A memoryless binary query tree based Successive Scheme for passive RFID tag collision resolution
Sequential fusion filtering based on minimum error entropy criterion
Cross-sensor periocular biometrics in a global pandemic: Comparative benchmark and novel multialgorithmic approach
A novel multi-graph-structure guided human lower-limb physiological load estimation method based on multi-inertial-sensors fusion during walking
Highly adaptive multi-modal image matching based on tuning-free filtering and enhanced sketch features
Vessel detection via multi-order saliency-based fuzzy fusion of spaceborne and airborne SAR images
Lead-fusion Barlow twins: A fused self-supervised learning method for multi-lead electrocardiograms
Intervention and regulatory mechanism of multimodal fusion natural interactions on AR embodied cognition
Multi-modal person re-identification based on transformer relational regularization
An interactive iteration consensus based social network large-scale group decision making method and its application in zero-waste city evaluation
Ontology matching with Large Language Models and prioritized depth-first search
The duality of generative AI and reinforcement learning in robotics: A review
Learning a 3D-CNN and Transformer prior for hyperspectral image super-resolution
CD-GAN: A robust fusion-based generative adversarial network for unsupervised remote sensing change detection with heterogeneous sensors
Survey of uncertainty estimation in LLMs - Sources, methods, applications, and challenges
Iris sensor identification in multi-camera environment
Learning an epipolar shift compensation for light field image super-resolution
Consensus reaching process using personalized modification rules in large-scale group decision-making
Joint auto-weighted graph fusion and scalable semi-supervised learning
A rank fusion approach based on score distributions for prioritizing relevance assessments in information retrieval evaluation
Radar sensor network resource allocation for fused target tracking: A brief review
MOFA: A novel dataset for Multi-modal Image Fusion Applications
FD-TGCN: Fast and dynamic temporal graph convolution network for traffic flow prediction
An edge-cloud-aided incremental tensor-based fuzzy c-means approach with big data fusion for exploring smart data
Two new methods for deriving the priority vector from interval multiplicative preference relations
SPGFusion: Semantic Prior Guided Infrared and visible image fusion via pretrained vision models
Low-rank tucker decomposition for multi-view outlier detection based on meta-learning
Subspace segmentation-based robust multiple kernel clustering
Information fusion in data privacy: A survey
A large-scale group consensus reaching approach considering self-confidence with two-tuple linguistic trust/distrust relationship and its application in life cycle sustainability assessment
Emotion recognition using deep learning approach from audio-visual emotional big data
An overview of particle methods for random finite set models
A defocus and similarity attention-based cascaded network for multi-focus and misaligned image fusion
Hierarchical visual-semantic interaction for scene text recognition
Towards context aware data fusion: Modeling and integration of situationally qualified human observations to manage uncertainty in a hard + soft fusion process
A Comparison and Critical Reflection of Information Disorder Detection Techniques: Performing a Cross-Data and Cross-Model Evaluation
High-order multi-view clustering for generic data
PJPFL: Personalized federated learning with privacy preservation based on sample similarity
Federated learning enabled graph convolutional autoencoder and factorization machine for potential friendship prediction in social networks
A perceptual framework for infrared-visible image fusion based on multiscale structure decomposition and biological vision
Multi-sensor fusion federated learning method of human posture recognition for dual-arm nursing robots
Data dissemination scheme for distributed storage for IoT observation systems at large scale
A reconstruction and convolution operations enabled variant vision transformer with gastroscopic images for automatic locating of polyps in Internet of Medical Things
Consensus model for large-scale group decision making based on fuzzy preference relation with self-confidence: Detecting and managing overconfidence behaviors
General multi-view semi-supervised least squares support vector machines with multi-manifold regularization
Model-level attention and batch-instance style normalization for federated learning on medical image segmentation
A case study with design of experiments: Performance evaluation methodology for Level 1 distributed data fusion processes
Kd-trees and the real disclosure risks of large statistical databases
Multisensor data fusion for fire detection
PEAFusion: Parameter-efficient Adaptation for RGB-Thermal fusion-based semantic segmentation
Bootstrap Latent Prototypes for graph positive-unlabeled learning
Statistical comparison of image fusion algorithms: Recommendations
Enhancing accuracy of physically informed neural networks for nonlinear Schrödinger equations through multi-view transfer learning
Multimodal pedestrian detection using metaheuristics with deep convolutional neural network in crowded scenes
Designing ontologies for higher level fusion
Traffic flow matrix-based graph neural network with attention mechanism for traffic flow prediction
Multi-modal policy fusion for end-to-end autonomous driving
Multimodal uncertainty state-space fusion network with generative endmember modeling for hyperspectral unmixing
Robust weighted state fusion Kalman estimators for networked systems with mixed uncertainties
Evidential classification for defending against adversarial attacks on network traffic
AAE-CycleWGAN fusion framework for generating fused strain data from sparse to dense domains in bridge monitoring systems
A clustering method based on multi-positive-negative granularity and attenuation-diffusion pattern
Multimodal data fusion for sensitive scene localization
Cross-attention guided loss-based deep dual-branch fusion network for liver tumor classification
WaterHE-NeRF: Water-ray matching neural radiance fields for underwater scene reconstruction
A knowledge-informed dynamic correlation modeling framework for lane-level traffic flow prediction
Syntactic paraphrase-based synthetic data generation for backdoor attacks against Chinese language models
An overview of data fusion techniques for Internet of Things enabled physical activity recognition and measure
Multi-view fusion for universal translation quality estimation
Supervised learning for more accurate state estimation fusion in IoT-based power systems
Application of transfer learning for biomedical signals: A comprehensive review of the last decade (2014-2024)
TSSF-CapsNet: Capsule network with temporal-spectral-spatial fusion for EEG-based seizure prediction
Multi-sensor fusion for body sensor network in medical human-robot interaction scenario
Multi-relational multi-view clustering and its applications in cancer subtype identification
An efficient unfolding network with disentangled spatial-spectral representation for hyperspectral image super-resolution
Self-supervised learning-based multi-source spectral fusion for fruit quality evaluation: A case study in mango fruit ripeness prediction
Protein deep profile and model predictions for identifying the causal genes of male infertility based on deep learning
From screens to scenes: A survey of embodied AI in healthcare
A model-driven network for guided image denoising
LG-Diff: Learning to follow local class-regional guidance for nearshore image cross-modality high-quality translation
Hierarchical disturbance and Group Inference for video-based visible-infrared person re-identification
A practical tutorial on bagging and boosting based ensembles for machine learning: Algorithms, software tools, performance study, practical perspectives and opportunities
STA-Net: Spatial-temporal alignment network for hybrid EEG-fNIRS decoding
Neural architecture search for image saliency fusion
Guest Editorial: Social big data with information fusion
Federated split learning for sequential data in satellite-terrestrial integrated networks
Addendum to resample and combine: an approach to improving uncertainty representation in evidential pattern classification
A conflict evidence fusion method based on the composite discount factor and the game theory
Scalable and efficient learning from crowds with Gaussian processes
To lock the authentic signals: mitigating GNSS spoofing with INS-aided tracking
Entropy/cross entropy-based group decision making under intuitionistic fuzzy environment
Cooperative and distributed decision-making in a multi-agent perception system for improvised land mines detection
Heterogeneous graph neural networks with post-hoc explanations for multi-modal and explainable land use inference
Latent space alignment guided non-aligned multi-view multi-label learning
Semi-Supervised Social Bot Detection with Relational Graph Attention Transformers and Characteristics of the social environment
Shape-Former: Bridging CNN and Transformer via ShapeConv for multimodal image matching
STSANet: Spatial Temporal-Self-Aggregation Network for surgical phase recognition
QuickLook: Movie summarization using scene-based leading characters with psychological cues fusion
FBMTO: Fusion of Blockchain and Multi-Agent Reinforcement Learning for Task Offloading in edge computing
Diversity in multiple classifier systems
MSTNet: A prostate imaging diagnosis algorithm based on feature similarity dynamic fusion and threshold optimization
Knowledge representation and reasoning using interconnected uncertain rules for describing workflows in complex systems
Emotion recognition using multi-modal data and machine learning techniques: A tutorial and review
Integrating audio-visual text generation with contrastive learning for enhanced multimodal emotion analysis
Event-based distributed recursive filtering for state-saturated systems with redundant channels
Deep learning for cross-domain data fusion in urban computing: Taxonomy, advances, and outlook
Novel efficient deployment schemes for sensor coverage in mobile wireless sensor networks
Induced uncertain linguistic OWA operators applied to group decision making
A survey of evidential clustering: Definitions, methods, and applications
Concurrent multi-target localization, data association, and navigation for a swarm of flying sensors
Fusion-driven deep feature network for enhanced object detection and tracking in video surveillance systems
An approach to quality function deployment based on probabilistic linguistic term sets and ORESTE method for multi-expert multi-criteria decision making
A cross Transformer for image denoising
From attributes to natural language: A survey and foresight on text-based person re-identification
Model compression techniques in biometrics applications: A survey
Reply to the Comments of R. Haenni on the paper "Belief functions combination and conflict management
DSFNet: Dual-fusion network with secondary clustering and feature integration for unsupervised person re-identification
Distributed energy-saving speech enhancement in wireless acoustic sensor networks
Fault stands out in contrast: Zero-shot diagnosis method based on dual-level contrastive fusion network for control moment gyroscopes predictive maintenance
A new approach to map-assisted Bayesian tracking filtering
New fusion methodology approach and application to mobile robotics: investigation in the framework of possibility theory
Dynamic decision-making paradigm for multi-modal information in a human-computer interaction perspective: Fusing composite rough set and incremental learning
On building ensembles of stacked denoising auto-encoding classifiers and their further improvement - a correction
Dissecting vulnerability in information fusion process of Graph Convolutional Networks
Unsupervised coefficient learning framework for variational pansharpening
Fusing and mining opinions for reputation generation
Remote sensing image fusion based on two-stream fusion network
Data fusion in heterogeneous networks
Information fusion in rough set theory : An overview
Adjusting forwarder nodes and duty cycle using packet aggregation routing for body sensor networks
Insufficient task description can impair in-context learning: A study from information perspective
Distributed estimation for multi-sensor networked stochastic uncertain systems with correlated noises under a general stochastic communication protocol
Towards the generation of synthetic images of palm vein patterns: A review
Data augmentation for deep visual recognition using superpixel based pairwise image fusion
MIMR-DGSA: Unsupervised hyperspectral band selection based on information theory and a modified discrete gravitational search algorithm
Visible light human activity recognition driven by generative language model
An approach to co-medication mechanism mining of Chinese Materia Medica and western medicines based on complex networks with the multi-source heterogeneous information
Enhanced Minimum-Cost Consensus: Focusing on Overadjustment and Flexible Consensus Cost
Knowledge-based multimodal information fusion for role recognition and situation assessment by using mobile robot
Interpretable degradation tensor modeling through multi-scale and multi-level time-frequency feature fusion for machine health monitoring
Multi-view Outlier Detection via Graphs Denoising
Anatomic-kinetic fusion network for pituitary gland and microadenoma segmentation in multi-phase DCE-MRI
Control based sensor management for a multiple radar monitoring scenario
EnHAT - Synergy of a tree-based Ensemble with Hoeffding Adaptive Tree for dynamic data streams mining
Adapting nucleus sampling for interpretable multi-hop logical reasoning over knowledge graphs
TB-Net: Intra- and inter-video correlation learning for continuous sign language recognition
Reliable trajectory prediction in scene fusion based on spatio-temporal Structure Causal Model
Ocular biometrics: A survey of modalities and fusion approaches
PLU-MCN: Perturbation learning enhanced U-shaped multi-graph convolutional network for traffic flow prediction
Unfolding coupled convolutional sparse representation for multi-focus image fusion
A special issue on web information fusion
Towards haze removal with derived pseudo-label supervision from real-world non-aligned training data
PEARL: A dual-layer graph learning for multimodal recommendation
A multi-scale information fusion framework with interaction-aware global attention for industrial vision anomaly detection and localization
A centralized immune-Voronoi deployment algorithm for coverage maximization and energy conservation in mobile wireless sensor networks
Editorial: Advances in multi-source information fusion for epidemic diseases
An XML query rewriting mechanism with multiple ontologies integration based on complex semantic mapping
FISTNet: FusIon of STyle-path generative Networks for facial style transfer
Integration and design of multi-modal interfaces for supervisory control systems
Multi-focus image fusion using Content Adaptive Blurring
A comprehensive study on codebook-based feature fusion for gait recognition
Cross-attention among spectrum, waveform and SSL representations with bidirectional knowledge distillation for speech enhancement
Large group emergency decision-making with bi-directional trust in social networks: A probabilistic hesitant fuzzy integrated cloud approach
Random forest of thoughts: Reasoning path fusion for LLM inference in computational social science
VLDBench Evaluating multimodal disinformation with regulatory alignment
Multi-sensor fusion approach with fault detection and exclusion based on the Kullback-Leibler Divergence: Application on collaborative multi-robot system
Reciprocal Recommender Systems: Analysis of state-of-art literature, challenges and opportunities towards social recommendation
A knowledge graph-supported information fusion approach for multi-faceted conceptual modelling
Do the best of all together: Hierarchical spatial-frequency fusion transformers for animal re-identification
Towards effective and efficient adversarial defense with diffusion models for robust visual tracking
Spatial-aware multi-modal contrastive learning for RGB-D salient object detection and beyond
Task-oriented multi-scale dynamic feature fusion for robust conveyor belt monitoring
Bridging the gaps: A hierarchical distillation approach to multimodal sentiment analysis with missing modalities
Generating high-resolution hyperspectral time series datasets based on unsupervised spatial-temporal-spectral fusion network incorporating a deep prior
A survey on secure communication techniques for 5G wireless heterogeneous networks
Flexible exploration: A hyperspectral image classification framework based on dynamic scale and graph optimal transport
Learning multi-granularity semantic interactive representation for joint low-light image enhancement and super-resolution
Special issue on information fusion in biometrics
Cubature Kalman fusion filtering under stochastic communication protocol: Tackling dynamical bias, scheduling probability and channel noise
FedEGL: Edge-assisted federated graph learning
Pan-sharpening via Dual Latent Variable Constraint Network
Distributed state-of-charge estimation for lithium-ion batteries with random sensor failure under dynamic event-triggering protocol
Data fusion based coverage optimization in heterogeneous sensor networks: A survey
DUSTFN: A dual-path U spatiotemporal fusion network for wind speed prediction
Approximate reasoning with generalized orthopair fuzzy sets
Data Fusion for Trust Evaluation
Fusion - An aide to data mining in Internet of Things
Decision-making in semi-democratic contexts
Multi-agent coordination by temporal plan fusion: Application to combat search and rescue
Multiple classifiers in biometrics. Part 2: Trends and challenges
Generalized Choquet fuzzy integral fusion
PolNet-CR: Spatial-channel collaborative interaction network for PolSAR incremental information-assisted optical satellite imagery cloud removal
WikiDes: A Wikipedia-based dataset for generating short descriptions from paragraphs
DFMKE: A dual fusion multi-modal knowledge graph embedding framework for entity alignment
A systematic review for artificial intelligence-driven assistive technologies to support children with neurodevelopmental disorders
Multi-View Fusion Graph Attention Network for Multilabel Class Incremental Learning
Multimodal sensor fusion models for real-time exercise repetition counting with IMU sensors and respiration data
Neurostressology: A systematic review of EEG-based automated mental stress perspectives
Review of pedestrian trajectory prediction based on graph neural networks
mmPPT: Hierarchical-serialization-enhanced point transformer for mmWave pedestrian reconstruction
Topic-centric and semantic-aware retrieval system for internet of things
Large-group failure mode and effects analysis for risk management of angle grinders in the construction industry
GLUE3D: General language understanding evaluation for 3D point clouds
Incorporating attributes and multi-scale structures for heterogeneous graph contrastive learning
Scaling down, Powering up: A Survey on the Advancements of Small Vision-Language Models
Aggregation-based self-supervised evidential clustering for imbalanced data
Imaging and fusing time series for wearable sensor-based human activity recognition
Class label fusion guided correlation learning for incomplete multi-label classification
Fairness and privacy preserving in federated learning: A survey
PGF-Net: fusing physical imaging model with self-attention for robust underwater feature detection
HandDiff: Spatial-temporal diffusion model for hand pose forecasting
Fusion estimation for multi-rate linear repetitive processes under weighted try-once-discard protocol
A novel underwater target tracking method in UASNs via collaborative deep reinforcement learning
FM 2 : Fusing multiple foundation models for pathology image analysis via disentangled consensus-divergence representation
CI-SNF: Exploiting contextual information to improve SNF based information retrieval
A multi-agent systems approach to distributed bayesian information fusion
A novel fusion entropy Kalman filter under parallel IMM framework for intermittent observation systems
Deep-TCP: Multi-source data fusion for deep learning-powered tropical cyclone intensity prediction to enhance urban sustainability
Generative adversarial networks for multi-fidelity matrix completion with massive missing entries
Multi-sensor fusion: an Evolutionary algorithm approach
Multi-view learning overview: Recent progress and new challenges
Rao-Blackwellized particle filter for multiple target tracking
SSLMM: Semi-Supervised Learning with Missing Modalities for Multimodal Sentiment Analysis
Cross-modal contrastive learning for aspect-based recommendation
Event-based distributed information fusion over sensor networks
Ensembles of decision trees based on imprecise probabilities and uncertainty measures
SeaMo: A season-aware multimodal foundation model for remote sensing
Optimal sequential fusion for multibiometric cryptosystems
PoNet: A universal physical optimization-based spectral super-resolution network for arbitrary multispectral images
Social choice theory, belief merging, and strategy-proofness
Multi-modal adapter for RGB-T tracking
MALM-CLIP: A generative multi-agent framework for multimodal fusion in few-shot industrial anomaly detection
Sleep posture one-shot learning framework based on extremity joint kinematics: In-silico and in-vivo case studies