yusuke1997/dblp-id-title huggingface dataset:
Unscented kalman filter with process noise covariance estimation for vehicular ins/gps integration system
A hybrid image registration technique for a digital camera image fusion application
MARNet: Multi-scale adaptive relational network for robust point cloud completion via cross-modal fusion
Minimum information-loss transformations to support heterogeneous group decision making in a distributed linguistic context
DepressInstruct: Instruction tuning of large speech-language models for depression detection
Spectrum-image dual-modality fusion empowered accurate and efficient classification system for traditional Chinese medicine
Entrotaxis as a strategy for autonomous search and source reconstruction in turbulent conditions
Hierarchical graph augmented stacked autoencoders for multi-view representation learning
Project evaluation method using non-formatted text information based on multi-granular linguistic labels
Face recognition in multi-sensor images based on a novel modular feature selection technique
Granger causality-based information fusion applied to electrical measurements from power transformers
Refinement-Guided Critique Learning: A Framework for Training Critique Models
Incongruity-aware multimodal physiology signals fusion for emotion recognition
StrucGCN: Structural enhanced graph convolutional networks for graph embedding
Modality-invariant temporal representation learning for multimodal sentiment classification
Fairness-oriented vertical federated GNNs with incomplete sensitive attributes
Magnetic source imaging registration based on self-supervised learning and multi-view differentiable rendering
PrivLSTM: A privacy-preserving LSTM inference framework by fusing encryption and network structure for multi-sourced Data
Binary labelling and decision-level fusion
Beyond word embeddings: A survey
FedHSA: A privacy-preserving federated learning framework with heterogeneous system alignment
In-bed human pose estimation using multi-source information fusion for health monitoring in real-world scenarios
BCINet: Bilateral cross-modal interaction network for indoor scene understanding in RGB-D images
Variational Quantum Linear Solver-based Combination Rules in Dempster-Shafer Theory
Optimizing the environmental design and management of public green spaces: Analyzing urban infrastructure and long-term user experience with a focus on streetlight density in the city of Las Vegas, NV
Kalman filter and joint tracking and classification based on belief functions in the TBM framework
Self-supervised feature adaption for infrared and visible image fusion
SwinWave-SR: Multi-scale lightweight underwater image super-resolution
Fusing actigraphy signals for outpatient monitoring
Multiple rumor source identification in social networks leveraging community and monitor information
Sarcasm driven by sentiment: A sentiment-aware hierarchical fusion network for multimodal sarcasm detection
GRACE PLUS: A data fusion-based approach to improve GRACE score in the risk assessment of Acute Coronary Syndrome
BMCST: Balanced multi-view clustering for spatially resolved transcriptomics with Mamba-driven dynamic feature refinement
Improving the performance of lung nodule classification by fusing structured and unstructured data
Multi-level information fusion with motion constraints: Key to achieve high-precision gait analysis using low-cost inertial sensors
OD-Net: Orthogonal descriptor network for multiview image keypoint matching
RARFLoc: Robust absolute and relative fused visual localization for UAVs
Multimodal sentiment analysis based on fusion methods: A survey
Lights and shadows in Evolutionary Deep Learning: Taxonomy, critical methodological analysis, cases of study, learned lessons, recommendations and challenges
Revolutionizing healthcare: IoMT-enabled digital enhancement via multimodal ADL data fusion
Penalized spatial-temporal sensor fusion for detecting and localizing bursts in water distribution systems
Cooperating experts for soundtrack analysis of MPEG movies
BEV-TinySpotter: A novel BEV perception method considering multi-dimensional feature fusion of small target
A framework for collaborative computing and multi-sensor data fusion in body sensor networks
A trusted consensus fusion scheme for decentralized collaborated learning in massive IoT domain
P2Sharpen: A progressive pansharpening network with deep spectral transformation
Track initialization and re-identification for 3D multi-view multi-object tracking
Towards a foundation model for behavioral intention prediction through multi-source data fusion
ISP-free multi-spectrum fused imaging for extremely low-light enhanced photography
Feature similarity learning based on fuzziness minimization for semi-supervised medical image segmentation
Simple multiple kernel k-means with kernel weight regularization
Fusion of 3D building models derived from first and last pulse laserscanning data
An integrated approach to high-level information fusion
Distributed multi-agent fusion state estimation method based on finite-time average consensus for large-scale power systems
Adversarial attacks on GAN-based image fusion
Seeing helps hearing: A multi-modal dataset and a mamba-based dual branch parallel network for auditory attention decoding
Minimum adjustment consensus model for multi-person multi-criteria large scale decision-making with trust consistency propagation and opinion dynamics
Image retrieval from remote sensing big data: A survey
Robust fusion filtering for 2-D multi-sensor systems with measurement censoring and redundant channels
Bimodal semantic fusion prototypical network for few-shot classification
Deep learning for hyperspectral image classification: A comprehensive review and future predictions
A new look at IHS-like image fusion methods
A kernelized fuzzy approximation fusion model with granular-ball computing for outlier detection
Brain tumor segmentation via cross-modality semi-supervised transfer learning with 3D MRI diffusion model synthetic ultrasound
Multi-view evidential K-NN classification
A systematic review of trustworthy and explainable artificial intelligence in healthcare: Assessment of quality, bias risk, and data fusion
A framework for generalized monotonicity of fusion functions
Adversarial Deep Learning based Dampster-Shafer data fusion model for intelligent transportation system
A survey on joint tracking using expectation-maximization based techniques
Users joining multiple sites: Friendship and popularity variations across sites
FDiff-Fusion: Denoising diffusion fusion network based on fuzzy learning for 3D medical image segmentation
PreSTNet: Pre-trained Spatio-Temporal Network for traffic forecasting
A survey of recommender systems for energy efficiency in buildings: Principles, challenges and prospects
End-to-end multiview fusion for building mapping from aerial images
Logic-based approaches to information fusion
Multi-scale fidelity measure for image fusion quality assessment
Awakening sleep nodes: Slack feature enhancement for robust long-term traffic forecasting
Pan-GAN: An unsupervised pan-sharpening method for remote sensing image fusion
A comprehensive survey of Vision-Language Models: Pretrained models, fine-tuning, prompt engineering, adapters, and benchmark datasets
A reputation-based trust evaluation model in group decision-making framework
Contrast sensitivity function - A correction: Comments on 'A human perception inspired quality metric for image fusion based on regional information'
gb2sμMOD: A MUltiMODal biometric video database using visible and IR light
40 years of sensor fusion for orientation tracking via magnetic and inertial measurement units: Methods, lessons learned, and future challenges
From constraints fusion to manifold optimization: A new directional transport manifold metaheuristic algorithm
Multi-band remote sensing image fusion based on collaborative representation
Choir-IDS: A federated learning framework for fidelity-calibrated explainable intrusion detection system for edge-IoT networks
Robust multimodal sentiment analysis via double information bottleneck
COST: Contrastive one-stage transformer for vision-language small object tracking
Data fusion in cyber-physical-social systems: State-of-the-art and perspectives
EAG-SAE-ESTF: An entropy-aware gated network with scale-adaptive enhancement and elastic spatial topology fusion for coronary artery segmentation
Explain and improve: LRP-inference fine-tuning for image captioning models
CMF: Prediction refinement via complementary manifold-based multi-model fusion
Entropy-aware dynamic path selection network for multi-modality medical image fusion
Fusing navigation and vision information with the Transferable Belief Model: Application to an intelligent speed limit assistant
MREIFlow: Unsupervised dense and time-continuous optical flow estimation from image and event data
MixMamba: Time series modeling with adaptive expertise
Consensus under a fuzzy context: Taxonomy, analysis framework AFRYCA and experimental case of study
Fusion decision strategies for multiple criterion preferences based on three-way decision
Neighbor group structure preserving based consensus graph learning for incomplete multi-view clustering
Boosting target-level infrared and visible image fusion with regional information coordination
Robust centralized and weighted measurement fusion Kalman estimators for uncertain multisensor systems with linearly correlated white noises
Self-adapting weighted operators for multiscale gradient fusion
Ultrametrics for context-aware comparison of binary images
Fusion-Attention Diagnosis Network (FADNet): An end-to-end framework for optic disc segmentation and ocular disease classification
Differentially private matrix factorization with sub-linear convergence rate for personalized recommendation
Evolution strategies based image registration via feature matching
From GNN to MLP: Enhancing learning with knowledge-augmented distillation and confidence guidance
An infrared and visible image fusion method based on multi-scale transformation and norm optimization
Multi-sensor management for information fusion: issues and approaches
The fusion of panchromatic and multispectral remote sensing images via tensor-based sparse modeling and hyper-Laplacian prior
Resample and combine: an approach to improving uncertainty representation in evidential pattern classification
CCIN-SA:Composite cross modal interaction network with attention enhancement for multimodal sentiment analysis
Web information fusion
Distributed event-triggered fusion estimation for networked asynchronous multi-rate systems
Integrated biometrics template protection technique based on fingerprint and palmprint feature-level fusion
PCHT-GAN: Physics-guided adaptive fusion with dynamic low-rank attention for pipeline leak diagnosis under imbalanced data
Multi-modal visual tracking based on textual generation
Research on multi-channel adaptive coupling prediction system of fusing physical information for spatio-temporal correlation heterogeneity of methane concentration
Multi-level information fusion for missing multi-label learning based on stochastic concept clustering
Remote sensing image classification using subspace sensor fusion
FedVCPL-Diff: A federated convolutional prototype learning framework with a diffusion model for speech emotion recognition
Side information-guided deep unfolding network based on self-supervised learning for dual-camera compressive hyperspectral imaging
Foundations of Multimodal Co-learning
Factored reasoning for monitoring dynamic team and goal formation
STATIC-LIO: A sliding window and terrain-assisted dynamic points removal LiDAR Inertial Odometry
MFF-MTT: a multi-feature fusion-based deep learning algorithm for maneuvering target tracking
A comprehensive overview of biometric fusion
Knowledge graph relation reasoning with variational reinforcement network
Deep feature fusion through adaptive discriminative metric learning for scene recognition
Special Issue on Biologically-Inspired Information Fusion
DeTinyLLM: Efficient detection of machine-generated text via compact paraphrase transformation
Hierarchical subgraph neural network with information bottleneck for machine remaining useful life prediction
Radar networks: A review of features and challenges
A machine learning based intrusion detection scheme for data fusion in mobile clouds involving heterogeneous client networks
A method for large group decision-making based on evaluation information provided by participators from multiple groups
A linguistic information granulation model based on best-worst method in decision making problems
Hierarchical cross-module knowledge transfer based on structural multi-view least squares support vector classification
A generalized framework for mean aggregation: Toward the modeling of cognitive aspects
Health risk assessment and decision-making for patient monitoring and decision-support using Wireless Body Sensor Networks
Evidential segmentation scheme of multi-echo MR images for the detection of brain tumors using neighborhood information
Combination of images with diverse focuses using the spatial frequency
On aggregating belief decision trees
Explainable variable-weight multi-modal based deep learning framework for catheter malposition detection
Reaching a consensus with minimum adjustment in MAGDM with hesitant fuzzy linguistic term sets
Multi-view Incremental Discriminant Analysis
A tensor-network-based big data fusion framework for Cyber-Physical-Social Systems (CPSS)
Perturb and restore: Efficient category revocation in federated unlearning
Combining univariate approaches for ensemble change detection in multivariate data
ENCODE - Ensemble neural combination for optimal dimensionality encoding in time-series forecasting
Probabilistic observation model correction using non-Gaussian belief fusion
Flare-aware cross-modal enhancement network for multi-spectral vehicle Re-identification
Resolving inter-domain routing policy disputes at run-time with scalability consideration
A graph attention network for real-world multi-image super-resolution
Special issue on the seventh international conference on information fusion - Part I
CAM: A cross-lingual adaptation framework for low-resource language speech recognition
FairDPFL-SCS: Fair Dynamic Personalized Federated Learning with strategic client selection for improved accuracy and fairness
Resolving multimodal ambiguity via knowledge-injection and ambiguity learning for multimodal sentiment analysis
PNCD: Mitigating LLM hallucinations in noisy environments-A medical case study
Eyeglasses removal of thermal image based on visible information
Empathic network learning for multi-expert emergency decision-making under incomplete and inconsistent information
Takagi-Sugeno-Kang fuzzy system fusion: A survey at hierarchical, wide and stacked levels
Unified gradient- and intensity-discriminator generative adversarial network for image fusion
Dynamic frequency selection and spatial interaction fusion for robust person search
The registration of visible and thermal images through multi-objective optimization
Color object classification using multi-channel Zernike moments-based rotation invariant bag-of-visual-words and deep convolutional neural networks
Towards zero-shot object counting via deep spatial prior cross-modality fusion
An effective and robust shadowed granular ball generation method in classification problems
WaterCycleDiffusion: Visual-textual fusion empowered underwater image enhancement
A lightweight network for abdominal multi-organ segmentation based on multi-scale context fusion and dual self-attention
EduCross: Dual adversarial bipartite hypergraph learning for cross-modal retrieval in multimodal educational slides
An intelligent system for spam detection and identification of the most relevant features based on evolutionary Random Weight Networks
Covariance consistency methods for fault-tolerant distributed data fusion
Matrix decomposition approaches for mutual information approximation with applications to covariance intersection techniques
Information fusion via symbolic regression: A tutorial in the context of human health
Rethinking the necessity of image fusion in high-level vision tasks: A practical infrared and visible image fusion network based on progressive semantic injection and scene fidelity
Dynamic Spatio-Temporal Graph Fusion Network modeling for urban metro ridership prediction
Classifier selection for majority voting
Bridging deep and multiple kernel learning: A review
A conceptual definition of a holonic processing framework to support the design of information fusion systems
Robust multi-modal medical image fusion via anisotropic heat diffusion guided low-rank structural analysis
Fusion rules for merging uncertain information
An asynchronous sensor bias estimation algorithm utilizing targets' positions only
GMM: Efficient information-containing adversarial perturbation based on gradient masking method
A general framework for multiresolution image fusion: from pixels to regions
SmartFL: Simple majority rule based Byzantine-robust federated learning
Multi-sensor fusion methodology for enhanced land vehicle positioning
Infrared and visible image fusion via detail preserving adversarial learning
A formal approach to the design of feature-based multi-sensor recognition systems
Fusing absolute and relative information for augmenting the method of nearest neighbors for ordinal classification
TSCMamba: Mamba meets multi-view learning for time series classification
A Multitask learning model for multimodal sarcasm, sentiment and emotion recognition in conversations
Image segmentation review: Theoretical background and recent advances
Artificial intelligence and healthcare: Forecasting of medical bookings through multi-source time-series fusion
Generating evolving region embedding with memory-based graph for dynamic urban sensing
ChronoSentinel: Incremental temporal embedding for Security Knowledge Graph using Dynamic Reachability Centrality and Efficient language model
TWC-EL: A multivariate prediction model by the fusion of three-way clustering and ensemble learning
Event-based filtering for time-varying nonlinear systems subject to multiple missing measurements with uncertain missing probabilities
Leveraging a self-adaptive mean teacher model for semi-supervised multi-exposure image fusion
Hyperlink ensembles: a case study in hypertext classification
Towards neural foundation models for vision: Aligning EEG, MEG, and fMRI representations for decoding, encoding, and modality conversion
Context-aware deep learning with dynamically assembled weight matrices
Multi-scale strip-shape kernel convolution based memory and difference attention for industrial anomaly detection
An overview of air quality analysis by big data techniques: Monitoring, forecasting, and traceability
Label distribution feature selection based on hierarchical structure and neighborhood granularity
Memory recall: Retrieval-Augmented mind reconstruction for brain decoding
InMyFace: Inertial and mechanomyography-based sensor fusion for wearable facial activity recognition
Short-long term anomaly detection in wireless sensor networks based on machine learning and multi-parameterized edit distance
A data-level fusion model for unsupervised attribute selection in multi-source homogeneous data
A theoretical and practical survey of image fusion methods for multispectral pansharpening
Distributed information fusion models for regional public health surveillance
GULSTSVM: A fusion of graph information and universum learning in twin SVM
Modality divergence based evolutionary learning for unsupervised visible-infrared cross-modality person re-identification
Consensus reaching in multi-criteria social network group decision making: A stochastic multicriteria acceptability analysis-based method
Degradation-Decoupled and semantic-aggregated cross-space fusion for underwater image enhancement
Fed- : A tri-level federated fairness evaluation framework with statistical guarantees and privacy preservation
Multifocus image fusion using the log-Gabor transform and a Multisize Windows technique
A new multiple decisions fusion rule for targets detection in multiple sensors distributed detection systems with data fusion
Information fusion - An arrow in the anti-terrorist quiver
SIRNet: multi-stage brain MRI registration between patient and normal based on synthesis and inpainting
A survey on RGB, 3D, and multimodal approaches for unsupervised industrial image anomaly detection
An information fusion model of mutual influence between focal elements: A perspective on interference effects in Dempster-Shafer evidence theory
Multimodal image registration using Laplacian commutators
Visual saliency distribution maps for explaining time-series AI models used in continuous production of textile fibers
Multi-sensor data fusion-enabled semi-supervised optimal temperature-guided PCL framework for machinery fault diagnosis
Ensemble similarity learning for kinship verification from facial images in the wild
Geometrical kinematic modeling on human motion using method of multi-sensor fusion
LPM-Net: Lightweight pixel-level modeling network based on CNN and Mamba for 3D medical image fusion
Peer-to-peer coupled agent systems for distributed situation management
HyIE: An internal-external induced embedding for knowledge hypergraph link prediction
Improvement of an association algorithm for obstacle tracking
Rotation invariant dual-view 3D point cloud reconstruction with geometrical consistency based feature aggregation
Binlets: Data fusion-aware denoising enables accurate and unbiased quantification of multichannel signals
Trust-aware recommendation based on heterogeneous multi-relational graphs fusion
Closed-form expressions for some indices of SUOWA operators
Remote sensing image fusion using the curvelet transform
Hierarchical spatio-temporal graph ODE networks for traffic forecasting
A survey on deep learning in medicine: Why, how and when?
Fusing information from tickets and alerts to improve the incident resolution process
Tucker decomposition guided shared latent label learning for multi-view incomplete multi-label classification
Constructive preference elicitation for multi-criteria decision analysis using an estimate-then-select strategy
Improving aspect-based sentiment analysis with Knowledge-aware Dependency Graph Network
Visual Grounding in 2D and 3D: A unified perspective and survey
Mutual-support generalized category discovery
Pretraining graph transformer for molecular representation with fusion of multimodal information
Information driven localisation of a radiological point source
Group decision-making in heterogeneous multi-scale information fusion: Integrating overconfident and non-cooperative behaviors
Multi-view anchor subspace clustering via consensus-specific reconstruction
Integrating generic sensor fusion algorithms with sound state representations through encapsulation of manifolds
Cascaded frameworks in underwater optical image restoration
Quantum inspired method of feature fusion based on von Neumann entropy
Large-scale group consensus hybrid strategies with three-dimensional clustering optimisation based on normal cloud models
ADF-OCT: An advanced Assistive Diagnosis Framework for study-level macular optical coherence tomography
CRFFNet: A cross-view reprojection based feature fusion network for fine-grained building segmentation using satellite-view and street-view data
The Krypteia ensemble: Designing classifier ensembles using an ancient Spartan military tradition
Ethereum fraud detection via joint transaction language model and graph representation learning
Constructing Choquet integral-based operators that generalize weighted means and OWA operators
SSEFusion: Salient semantic enhancement for multimodal medical image fusion with Mamba and dynamic spiking neural networks
Joint multi-view embedding with progressive multi-scale alignment for unaligned infrared-visible image fusion
A LiDAR-depth camera information fusion method for human robot collaboration environment
Hallucination-resistant multimodal content generation through knowledge graph-based reinforcement learning
A selection approach for scalable fuzzy integral combination
Intensity difference prior with spatial-channel weighted fusion for underwater image restoration