yusuke1997/dblp-id-title huggingface dataset:
Bridging demonstration and multi-source attention fusion using LLMs for grounded multimodal named entity recognition
A graph neural approach for group recommendation system based on pairwise preferences
Bridging imaging and genomics: Domain knowledge guided spatial transcriptomics analysis
Towards generalizable object counting via dual-prompted cross-modality fusion network
Fusing pairwise modalities for emotion recognition in conversations
Vision-language joint representation learning for sketch less facial image retrieval
Distributed combination of belief functions
Entropy-driven data aggregation method for energy-efficient wireless sensor networks
A novel graph model for resolving power-asymmetric conflicts: Application in hierarchical diagnosis and treatment systems
Federated learning based water streamflow forecasting via multi-sensor data fusion
Algorithm for retrieval and verification of personal identity using bimodal biometrics
Eficient image denoising using deep learning: A brief survey
Cryptanalysis of a remote user authentication scheme for mobile client-server environment based on ECC
Learning to estimate probabilistic attitude via matrix Fisher distribution with inertial sensor
Editorial recognition of another milestone
Arithmetic average density fusion - Part I: Some statistic and information-theoretic results
Distributed decision fusion under nonideal communication channels with adaptive topology
A Novel Degraded Document Binarization Model through Vision Transformer Network
Event-triggered set-membership fusion estimation of multi-rate multi-sensor systems under multiple cyber attacks
Multi-level information fusion for learning a blood pressure predictive model using sensor data
Ensemble feature selection with the simple Bayesian classification
Prompt-based and weak-modality enhanced multimodal recommendation
Hierarchical method for cataract grading based on retinal images using improved Haar wavelet
MAFCD: Multi-level and adaptive conditional diffusion model for anomaly detection
A methodology for realistic space launch risk estimation using information-fusion-based metric
Targeted ensemble defense against unauthorized text-to-image identity customization
Resilient labeled multi-Bernoulli fusion with peer-to-peer sensor network
Street Space Quality Improvement: Fusion of Subjective Perception in Street View Image Generation
Learning-aware feature denoising discriminator
Multifusion schemes of INS/GNSS/GCPs/V-SLAM applied using data from smartphone sensors for land vehicular navigation applications
An integrated information fusion approach based on the theory of evidence and group decision-making
A degradation-aware guided fusion network for infrared and visible image
Hotspot Preventing Routing algorithm for delay-sensitive applications of in vivo biomedical sensor networks
Retinal image quality assessment using generic image quality indicators
FL-CTIF: A federated learning based CTI framework based on information fusion for secure IIoT
Multimodal Emotion Recognition with Deep Learning: Advancements, challenges, and future directions
STR: Spatio-temporal trajectory representation learning with dual-focus encoder for whole trajectory similarity computation
Triple disentangled representation learning for multimodal affective analysis
Hyperparameter self-tuning for data streams
Trustworthy multimodal feature-enhanced fusion network for non-contact rotating machinery fault diagnosis
Efficient networks for textureless feature registration via free receptive field
A comparison of decision-level sensor-fusion methods for anti-personnel landmine detection
ComCon: Complementary-contradictory regularization for multimodal knowledge graph completion
Double-cohesion learning based multiview and discriminant palmprint recognition
Multimodal contrastive learning for brain-machine fusion: From brain-in-the-loop modeling to brain-out-of-the-loop application
Cross-modal prototype based multimodal federated learning under severely missing modality
Diffusion-prior based implicit neural representation for arbitrary-scale cardiac cine MRI super-resolution
Hierarchical relationship modeling in multi-agent reinforcement learning for mixed cooperative-competitive environments
Free Double Hierarchy Hesitant Fuzzy Linguistic Term Sets: An application on ranking alternatives in GDM
Human-centric wireless sensor networks to improve information availability during urban search and rescue activities
Applying capacity analyses to psychophysical evaluation of multisensory interactions
Decoupled cross-modal alignment network for text-RGBT person retrieval and a high-quality benchmark
Vision Fourier transformer empowered multi-modal imaging system for ethane leakage detection
Dynamic collaborative learning with heterogeneous knowledge transfer for long-tailed visual recognition
Analytic solution of the exact Daum-Huang flow equation for particle filters
A scheduler for SCADA-based multi-source fusion systems
Unveiling node relationships for traffic forecasting: A self-supervised approach with MixGT
Towards integrated and fine-grained traffic forecasting: A Spatio-Temporal Heterogeneous Graph Transformer approach
Unbiased Spatial-Temporal Atomic Fusion-based Zero-Shot Action Recognition
COOL: A Conjoint Perspective on Spatio-Temporal Graph Neural Network for Traffic Forecasting
A survey on data fusion approaches in IoT-based smart cities: Smart applications, taxonomies, challenges, and future research directions
Few-shot IoT attack detection based on SSDSAE and adaptive loss weighted meta residual network
A GAN enhanced meta-deep reinforcement learning approach for DCN routing optimization
Robust sound localization using multi-source audiovisual information fusion
RXDNFuse: A aggregated residual dense network for infrared and visible image fusion
CoreNet: Conflict Resolution Network for point-pixel misalignment and sub-task suppression of 3D LiDAR-camera object detection
Double hierarchy hesitant fuzzy linguistic term set and MULTIMOORA method: A case of study to evaluate the implementation status of haze controlling measures
Tensor-based restricted kernel machines for multi-view classification
Versatile Source-Free Active Domain Adaptation for multi-center and multi-rater medical image segmentation
Analyzing the combination of conflicting belief functions
Distributed weighted fusion of RFS densities for peer-to-peer sensor networks
Cross-modal incongruity aligning and collaborating for multi-modal sarcasm detection
Optimal resources allocation to support the consensus reaching in group decision making
SG-DGLF: A similarity-guided dual-graph learning framework
Effective sample pairs based contrastive learning for clustering
A Bayesian approach to visualization-oriented hyperspectral image fusion
Information fusion special issues - An overview
CaSE: Explaining Text Classifications by Fusion of Local Surrogate Explanation Models with Contextual and Semantic Knowledge
Comprehensive systematic review of information fusion methods in smart cities and urban environments
Distributed interval fusion filtering for multirate nonlinear positive systems under amplify-and-forward relay: The finite-horizon case
DAFNet: A novel Dynamic Adaptive Fusion Network for medical image classification
Modified node2vec and attention based fusion framework for next POI recommendation
Enhancing the security of blockchain-based software defined networking through trust-based traffic fusion and filtration
Dynamic integration of classifiers for handling concept drift
Improving RGB-infrared object detection with cascade alignment-guided transformer
Concurrent learning and fusion
A maximum self-esteem degree based feedback mechanism for group consensus reaching with the distributed linguistic trust propagation in social network
A low-cost variational-Bayes technique for merging mixtures of probabilistic principal component analyzers
Multi-objective programming consensus model based on evolutionary game analysis in group decision making
Triple-supervised progressive contrastive learning for heterogeneous graph embedding
Consensus reaching process for group decision-making based on trust network and ordinal consensus measure
GPS/INS integration utilizing dynamic neural networks for vehicular navigation
Uncertainty-aware incomplete multimodal fusion for few-shot Central Retinal Artery Occlusion classification
Alzheimer's disease detection based on flexible optimal graph fusion of multimodal low rank sparse feature selection
Multimodal speech processing using asynchronous Hidden Markov Models
Optimizing resource allocation for wind turbine maintenance through process and fault data fusion
SSTtrack: A unified hyperspectral video tracking framework via modeling spectral-spatial-temporal conditions
Image fusion in the loop of high-level vision tasks: A semantic-aware real-time infrared and visible image fusion network
Information fusion in the context of data privacy
Finding and removing Clever Hans: Using explanation methods to debug and improve deep models
A survey on electronic health record driven multimodal representation learning
Towards interpretable imaging genomics analysis: Methodological developments and applications
A channel- adaptive and plug-and- play framework for hyperspectral image analysis
MatchNav: LLM-based enhanced description and instruction matching in vision-and-language navigation
Optimization of spatial-temporal graph: A taxi demand forecasting model based on spatial-temporal tree
Harnessing the potential of multimodal EHR data: A comprehensive survey of clinical predictive modeling for intelligent healthcare
GLS-MIFT: A modality invariant feature transform with global-to-local searching
IDRES: A rule-based system for driving situation recognition with uncertainty management
Federated unlearning using diffusive noise injection
Natural colour mapping for multiband nightvision imagery
Recent advances in complementary label learning
ViP-HMNN: a visual pathway-inspired hybrid neural network incorporated with in-memory computing for object recognition
A novel bi-objective R-mathematical programming method for risk group decision making
Tree ensemble construction using a GRASP-based heuristic and annealed randomness
A spatial-spectral multi-view contrastive learning framework for scene representation learning
Review of ensembles of multi-label classifiers: Models, experimental study and prospects
Byzantine-robust federated learning considering distributed Non-IID data in privacy-sensitive scenarios
Blockchain-based privacy-preserving incentive scheme for internet of electric vehicle
A multi-objective segmentation method for chest X-rays based on collaborative learning from multiple partially annotated datasets
Image fusion: Advances in the state of the art
On the divergence of information filter for multi sensors fusion
Distributed fusion filtering for multi-sensor nonlinear networked systems with multiple fading measurements via stochastic communication protocol
Combining time-series and textual data for taxi demand prediction in event areas: A deep learning approach
Aggregation models in ensemble learning: A large-scale comparison
Vision-knowledge fusion model for multi-domain medical report generation
A graph transformer defence against graph perturbation by a flexible-pass filter
MPCL: Multimodal prompt learning for continual relation extraction with type-aware inter-modality alignment
NCGLF2: Network combining global and local features for fusion of multisource remote sensing data
Random forest explainability using counterfactual sets
Aerial orthoimage generation for UAV remote sensing: Review
Multi-sensor information fusion estimators for stochastic uncertain systems with correlated noises
Object tracking and credal classification with kinematic data in a multi-target context
PASAL: Progress- and sparsity-aware loss balancing for heterogeneous dataset fusion
MACNS: A generic graph neural network integrated deep reinforcement learning based multi-agent collaborative navigation system for dynamic trajectory planning
A Transformer-based multi-modal fusion network for 6D pose estimation
Dynamical information fusion of heterogeneous sensors for 3D tracking using particle swarm optimization
NeuralOOD: Improving out-of-distribution generalization performance with brain-machine fusion learning framework
Sensor management - what, why and how
A multi-stage cuff-less continuous blood pressure estimation method for overcoming subject specificity
Privacy-preserving identity-based broadcast encryption
Multi-source unsupervised domain adaptation for object detection
MetaPro: A computational metaphor processing model for text pre-processing
Multi-focus image fusion using a morphology-based focus measure in a quad-tree structure
Integrating the traffic science with representation learning for city-wide network congestion prediction
Large model-driven hyperscale healthcare data fusion analysis in complex multi-sensors
JGC-IAGCL: Fusing joint graph convolution and intent-aware graph contrastive learning for explainable recommendation
Physics-inspired multimodal machine learning for adaptive correlation fusion based rotating machinery fault diagnosis
Multi-modal physiological markers of arousal induced by CO2 inhalation in Virtual Reality
High-resolution synthetic aperture imaging method and benchmark based on event-frame fusion
A ranking procedure based on a natural monotonicity constraint
Semi-supervised clustering with two types of background knowledge: Fusing pairwise constraints and monotonicity constraints
Privacy-aware detection of fake identity documents: methodology, benchmark, and improved algorithms (FakeIDet2)
Rethinking domain-agnostic continual learning via frequency completeness learning
Bi-level ensemble method for unsupervised feature selection
Shifting decision boundary against adversarial semantic attacks in Latent Diffusion Models
ChatAssistDesign: A language-interactive framework for iterative vector floorplan generation via conditional diffusion
Multimodal nonparametric clustering via Monte Carlo method and fusion embedding generated by variational autoencoder
Multi-biometric template protection based on bloom filters
Multi-view Information Integration and Propagation for occluded person re-identification
Oral multi-pathology segmentation with Lead-Assisting Backbone Attention Network and synthetic data generation
Hyperspectral image visualization with edge-preserving filtering and principal component analysis
Anchor-based fast spectral ensemble clustering
TC-GCN: Triple cross-attention and graph convolutional network for traffic forecasting
CD-UDepth: Complementary dual-source information fusion for underwater monocular depth estimation
OSRLLDM: Omnidirectional image super-resolution with latitude-aware latent diffusion models
Multi-View Kernel Spectral Clustering
Affine modulation-based audiogram fusion network for joint noise reduction and hearing loss compensation
Domain-specific sentiment classification via fusing sentiment knowledge from multiple sources
Heterogeneous relational reasoning in knowledge graphs with reinforcement learning
Variable-length time series classification: Benchmarking, analysis and effective spectral pooling strategy
Heterogeneous data fusion for predicting mild cognitive impairment conversion
Few-shot object detection: Research advances and challenges
Continuous-discrete confidence interval observer - Application to vehicle positioning
Multi-fidelity modeling method based on adaptive transfer learning
UIFGAN: An unsupervised continual-learning generative adversarial network for unified image fusion
Advancements in point cloud-based 3D defect classification and segmentation for industrial systems: A comprehensive survey
Security analysis and adaptive false data injection against multi-sensor fusion localization for autonomous driving
Post-aggregation of classifier ensembles
Interpretable learning based Dynamic Graph Convolutional Networks for Alzheimer's Disease analysis
Deep learning for visible-infrared cross-modality person re-identification: A comprehensive review
Expert-level financial sentiment analysis via internal and external financial knowledge fusion
Information fusion approaches to the automatic pronunciation of print by analogy
Motion-guided token prioritization and semantic degradation fusion for exo-to-ego cross-view video generation
Special issue on information fusion in distributed sensor networks
VisualRWKV-HM: Enhancing linear visual-language models via hybrid mixing
Rethink: reveal the impact of semantic distribution transfer from the cross-modal hashing perspective
Multi-granularity fusion resource allocation algorithm based on dual-attention deep reinforcement learning and lifelong learning architecture in heterogeneous IIoT
RA-MMIR : Multi-modal image registration by Robust Adaptive Variation Attention Gauge Field
Exploration and development of a structured multi-level fusion in an ensemble-based large-scale meta-decision model
An approach to rank reviews by fusing and mining opinions based on review pertinence
Adaptive-weighted federated graph convolutional networks with multi-sensor data fusion for drug response prediction
Dual hypergraphs with feature weighted and latent space learning for the diagnosis of Alzheimer's disease
Asset pricing via fused deep learning with visual clues
Insights into Internet of Medical Things (IoMT): Data fusion, security issues and potential solutions
Consistency and consensus measures for linguistic preference relations based on distribution assessments
Multiscale structural feature transform for multi-modal image matching
On reaching a new milestone - measuring our progress
An information fusion demonstrator for tactical intelligence processing in network-based defense
MambaEviScrib: Mamba and evidence-guided consistency enhance CNN robustness for scribble-based weakly supervised ultrasound image segmentation
Steerable local frequency based multispectral multifocus image fusion
Information fusion in computer security
Diverse semantic information fusion for Unsupervised Person Re-Identification
Multi-valued verification of commitment systems with uncertainty and inconsistency in multi-source data settings
Rank and response combination from confusion matrix data
Deep learning based multimodal biomedical data fusion: An overview and comparative review
Multi-level vision language interaction learning for cross-modal retrieval
A Synchronous Holo-Balancing Method for Flexible Rotors Based on the Modified Initial Phase Vector
SingleS2R: Single sample driven Sim-to-Real transfer for Multi-Source Visual-Tactile Information Understanding using multi-scale vision transformers
Multi-scale dual-attention frequency fusion for joint segmentation and deformable medical image registration
2D-3D Geometric Fusion network using Multi-Neighbourhood Graph Convolution for RGB-D indoor scene classification
From the abundance perspective: Multi-modal scene fusion-based hyperspectral image synthesis
BioCross: A cross-modal framework for unified representation of multi-modal biosignals with heterogeneous metadata fusion
Identifying user geolocation with Hierarchical Graph Neural Networks and explainable fusion
Learning invariant and uniformly distributed feature space for multi-view generation
DGGI: Deep Generative Gradient Inversion with diffusion model
Heterogeneous multiple criteria group decision making with incomplete weight information: A deviation modeling approach
A multimodal-multitask framework with cross-modal relation and hierarchical interactive attention for semantic comprehension
SENSE: Hyperspectral video object tracker via fusing material and motion cues
CX-Mind: a pioneering multimodal large language model for interleaved reasoning in chest X-ray via curriculum-guided reinforcement learning
Localized sensor management for multi-target tracking in wireless sensor networks
An evidential approach for detection of abnormal behaviour in the presence of unreliable sensors
MMME: A spontaneous multi-modal micro-expression dataset enabling visual-physiological fusion
Semi-supervised information fusion for medical image analysis: Recent progress and future perspectives
Spatial query processing in wireless sensor networks - A survey
A novel approach to stance detection in social media tweets by fusing ranked lists and sentiments
Regret theory-based group decision-making with multidimensional preference and incomplete weight information
Simultaneous image fusion and super-resolution using sparse representation
ECGFM: A foundation model for ECG analysis trained on a multi-center million-ECG dataset
Multispectral and hyperspectral image fusion in remote sensing: A survey
Reply to the comment on "Some hybrid weighted averaging operators and their application to decision making"
A special issue on concurrent learning and fusion
QD-MSA : A quantum distributed tensor network framework for multimodal sentiment analysis
Validation of synthetic daily Landsat NDVI time series data generated by the improved spatial and temporal data fusion approach
A defense method based on attention mechanism against traffic sign adversarial samples
Retinal microaneurysms detection using adversarial pre-training with unlabeled multimodal images
Adaptive robust loss for landmark detection
A multi-criterion optimization technique for energy efficient cluster formation in wireless sensor networks
Brain morphometry of MR images for automated classification of first-episode schizophrenia
Lightweight and smart data fusion approaches for wearable devices of the Internet of Medical Things
Second-order statistics analysis and comparison between arithmetic and geometric average fusion: Application to multi-sensor target tracking
Adaptive latent fingerprint segmentation using feature selection and random decision forest classification
An evaluation of ECG data fusion algorithms for wearable IoT sensors
Increasing trust in AI through privacy preservation and model explainability: Federated Learning of Fuzzy Regression Trees
A Bayesian approach to fusing uncertain, imprecise and conflicting information
Color-appearance-model based fusion of gray and pseudo-color images for medical applications
A survey on pragmatic processing techniques
HiCMAE: Hierarchical Contrastive Masked Autoencoder for self-supervised Audio-Visual Emotion Recognition
Real-time detection of intelligent transportation system based on 3D point cloud
Distributed collaborative Web document clustering using cluster keyphrase summaries
A survey on long-term traffic prediction from the information fusion perspective: Requirements, methods, applications, and outlooks
Global-local fusion based on adversarial sample generation for image-text matching
Score level fusion of classifiers in off-line signature verification
Multi-granularity interval-intent fuzzy concept-cognitive learning: An attention-enhanced adaptive clustering framework
MapFusion: A novel BEV feature fusion network for multi-modal map construction
Phonetic-enriched text representation for Chinese sentiment analysis with reinforcement learning
An event based multi-sensor fusion algorithm with deadzone like measurements
Multi-focus image fusion with dense SIFT
A behavioural hierarchical analysis framework in a smart home: Integrating HMM and probabilistic model checking
A unifying view of class overlap and imbalance: Key concepts, multi-view panorama, and open avenues for research
Deep adversarial autoencoder recommendation algorithm based on group influence
Social big data: Recent achievements and new challenges
Hesitant fuzzy linguistic term sets for linguistic decision making: Current developments, issues and challenges
RSEA-MVGNN: Multi-view graph neural network with reliable structural enhancement and aggregation
Deep Emotional Arousal Network for Multimodal Sentiment Analysis and Emotion Recognition
Transformer-based multimodal change detection with multitask consistency constraints
Interpretable multi-view fusion network via multi-view dual alignment and private bias filtering for Alzheimer's disease analysis
A two-layer weight determination method for complex multi-attribute large-group decision-making experts in a linguistic environment
Underwater image captioning via attention mechanism based fusion of visual and textual information