yusuke1997/dblp-id-title huggingface dataset:
Integration of 3D data in SAR mission planning and image interpretation in urban areas
Fusion of statistical importance for feature selection in Deep Neural Network-based Intrusion Detection System
A novel multi-focus image fusion approach based on image decomposition
Refined modeling of sensor reliability in the belief function framework using contextual discounting
Review of multimodal machine learning approaches in healthcare
Enhancing skin cancer detection through category representation and fusion of pre-trained models
Multi-view human pose and shape estimation via mesh-aligned voxel interpolation
Maximal c consensus meets
Cross-layer frequency-spatial domain feature interaction awareness fusion for fine-grained visual classification
Air quality data clustering using EPLS method
An improved artificial immune algorithm with application to multiple sensor systems
Information fusion in practice: A distributed cognition perspective on the active role of users
Evidential dissonance measure in robust multi-view classification to resist adversarial attack
Space efficient quantization for distributed estimation by a multi-sensor fusion system
LGINet: Linguistic guided image diffusion model for tree species generation and identification from aerial imagery
A Multi-Modal Incompleteness Ontology model (MMIO) to enhance information fusion for image retrieval
Multi-focus image fusion: A Survey of the state of the art
Influence identification of opinion leaders in social networks: an agent-based simulation on competing advertisements
A lightweight hierarchical feature fusion network for surgical instrument segmentation in internet of medical things
Explainable Crowd Decision Making methodology guided by expert natural language opinions based on Sentiment Analysis with Attention-based Deep Learning and Subgroup Discovery
Credibility-based multi-sensor fusion for non-Gaussian conversion error mitigation
BrainDEC: A Multimodal LLM for the Non-Invasive Decoding of Text from Brain Recordings
Large-scale aerial scene perception based on self-supervised multi-view stereo via cycled generative adversarial network
IF-USOD: Multimodal information fusion interactive feature enhancement architecture for underwater salient object detection
Robust 3D sparse object detection through multi-modal framework with dynamic feature encoding and hierarchical object-guided feature enhancement
Fusion of tactile and visual information in deep learning models for object recognition
A spatial-frequency dual-domain implicit guidance method for hyperspectral and multispectral remote sensing image fusion based on Kolmogorov-Arnold Network
Methods for person identification on a pressure-sensitive floor: Experiments with multiple classifiers and reject option
SegLD: Achieving universal, zero-shot and open-vocabulary segmentation through multimodal fusion via latent diffusion processes
Meta-learning meets the Internet of Things: Graph prototypical models for sensor-based human activity recognition
Networked fusion estimation with multiple uncertainties and time-correlated channel noise
Brain tumor segmentation based on the fusion of deep semantics and edge information in multimodal MRI
Cascade & allocate: A cross-structure adversarial attack against models fusing vision and language
Real-time foreground detection approach based on adaptive ensemble learning with arbitrary algorithms for changing environments
A multi-modal spatial-temporal model for accurate motion forecasting with visual fusion
Enhancing cross-domain generalization by fusing language-guided feature remapping
Dempster-Shafer theory-based information fusion for natural disaster emergency management: A systematic literature review
UNTIE: Clustering analysis with disentanglement in multi-view information fusion
Image Fusion in the context of Aerospace Applications
Similar modality completion-based multimodal sentiment analysis under uncertain missing modalities
SaccadeFork: A lightweight multi-sensor fusion-based target detector
Deep learning for pixel-level image fusion: Recent advances and future prospects
CPMFusion: A method for infrared and visible image registration and fusion using modal correlation
Hand-based multimodal biometric fusion: A review
Hybrid multi-model ensemble learning for reconstructing gridded runoff of Europe for 500 years
Prompt-guided image color aesthetics assessment: Models, datasets and benchmarks
New insights into multi-focus image fusion: A fusion method based on multi-dictionary linear sparse representation and region fusion model
Mitigating class imbalance in forest fire prediction with GAN-Augmented data fusion
Multi-dimensional belief fusion of multi-Gaussian structures
SafeCrossNet: Multi-modal fusion with social-aware for pedestrian crossing intention prediction
Magic: AN LLM-based multi-agent activated graph-reasoning intelligent collaboration model for liver disease diagnosis
Using the Dempster-Shafer method for the fusion of LIDAR data and multi-spectral images for building detection
Tactile data generation and applications based on visuo-tactile sensors: A review
Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends
Information fusion as a tool in condition monitoring
GS-KGC: A generative subgraph-based framework for knowledge graph completion with large language models
SAFedHDM: Semi-asynchronous federated learning with highlight diffusion model for medical image segmentation
Fedcs: Efficient communication scheduling in decentralized federated learning
Multimodal fusion for large-scale traffic prediction with heterogeneous retentive networks
Improving the local diagnostic explanations of diabetes mellitus with the ensemble of label noise filters
Feature selection with multi-view data: A survey
Renewable energy harvesting schemes in wireless sensor networks: A Survey
Locality guided cross-modal feature aggregation and pixel-level fusion for multispectral pedestrian detection
Differentially private data publishing via cross-moment microaggregation
The fusion process with heterogeneous preference structures in group decision making: A survey
Euclidean and Poincaré space ensemble Xgboost
Distributed optimal linear fusion estimators
Facilitating large-scale group decision-making in social networks: A bi-level consensus model with social influence
From sight to insight: A multi-task approach with the visual language decoding model
Super- and subadditive constructions of aggregation functions
Multimodal audio-visual information fusion using canonical-correlated Graph Neural Network for energy-efficient speech enhancement
Non-informative noise-enhanced stochastic neural networks for improving adversarial robustness
Retrieval-Augmented Dialogue Knowledge Aggregation for expressive conversational speech synthesis
Visual attention methods in deep learning: An in-depth survey
XStacking : An effective and inherently explainable framework for stacked ensemble learning
Fusion of multispectral and panchromatic images via sparse representation and local autoregressive model
Urban region function classification via fusing optical imagery and social media data: A spatio-temporal Transformer interaction approach
Exploring fusion architecture for a common operational picture
Multi-source information fusion based on rough set theory: A review
Do multimodal large language models understand welding?
Multi-Scale Temporal Graph Contrastive Embedding for urban region representation
Spatio-temporal data fusion framework based on large language model for enhanced prediction of electric vehicle charging demand in smart grid management
A fusion spatial attention approach for few-shot learning
TSProto: Fusing deep feature extraction with interpretable glass-box surrogate model for explainable time-series classification
LUTBIO: A Comprehensive multimodal biometric database targeting middle-aged and elderly populations for enhanced identity authentication
Multilevel projections with adaptive neighbor graph for unsupervised multi-view feature selection
A review of soft consensus models in a fuzzy environment
Leveraging long-range nodes in multi-view graph contrastive learning
Multi-sensor data fusion via a cortical gap network for time series large data gap filling under uncertainties
An adaptive consensus model for multi-criteria sorting under linguistic distribution group decision making considering decision-makers' attitudes
A robust generative dynamic transfer model for carbon emission price prediction based on multi-source information fusion and feature representation enhancement
PCNet: A structure similarity enhancement method for multispectral and multimodal image registration
Pay attention to doctor-patient dialogues: Multi-modal knowledge graph attention image-text embedding for COVID-19 diagnosis
Deep learning analysis of mobile physiological, environmental and location sensor data for emotion detection
Finger pinching and imagination classification: A fusion of CNN architectures for IoMT-enabled BCI applications
DiffMark: Diffusion-based robust watermark against Deepfakes
Comment on "Some hybrid weighted averaging operators and their application to decision making"
Homogeneous functionals and Bayesian data fusion with unknown correlation
On multisensor image fusion performance limits from an estimation theory perspective
Gradient structural similarity based gradient filtering for multi-modal image fusion
Cooperative localization for disconnected sensor networks and a mobile robot in friendly environments
Addressing data scarcity in protein fitness landscape analysis: A study on semi-supervised and deep transfer learning techniques
Towards Multimodal Disinformation Detection by Vision-language Knowledge Interaction
A description of competing fusion systems
Necessary and possible hesitant fuzzy sets: A novel model for group decision making
GDCF-Net: A generative-discriminative contrastive fusion network for multi-class fault diagnosis of power transformer
Semi-supervised classification with pairwise constraints: A case study on animal identification from video
CFCNN: A novel convolutional fusion framework for collaborative fault identification of rotating machinery
Estimation, filtering and fusion for networked systems with network-induced phenomena: New progress and prospects
AOBERT: All-modalities-in-One BERT for multimodal sentiment analysis
A survey on fairness-aware recommender systems
Disambiguation-based partial label feature selection via feature dependency and label consistency
Exploring Zero-Shot SLM ensembles as an alternative to LLMs for sentiment analysis
Comparison of RADARSAT-1 and IKONOS satellite images for urban features detection
Non-contact multimodal indoor human monitoring systems: A survey
Domain-continual learning for multi-center anatomical detection via prompt-enhanced and densely-fused MedSAM
Underwater image restoration via transmission and Wasserstein distance constraints
A sensor fusion approach to MARG module orientation estimation for a real-time hand tracking application
Natural Computing Methods in Bioinformatics
Generative AIBIM: An automatic and intelligent structural design pipeline integrating BIM and generative AI
Text-guided multi-property molecular optimization with a diffusion language model
Perception management: an emerging concept for information fusion
DEAR-MULSEMEDIA: Dataset for emotion analysis and recognition in response to multiple sensorial media
Automatic model selection in a hybrid perceptron/radial network
Social network group decision making: Characterization, taxonomy, challenges and future directions from an AI and LLMs perspective
Modeling multi-criteria objective functions using fuzzy measures
S3Diffuser: Frequency selected state space guided diffusion model for multimodal fusion classification
Multi-source domain adaptation for panoramic semantic segmentation
Segmentation of acute ischemic stroke lesions based on deep feature fusion
Application of data fusion for automated detection of children with developmental and mental disorders: A systematic review of the last decade
RED-Nets: Redistribution Networks for Multi-View Classification
A novel MCPFVP-based CFAR detector fusing sea clutter amplitude spatial correlation information
Handling inconsistency in (numerical) preferences using possibility theory
Information geometry of target tracking sensor networks
A consensus framework for multiple attribute group decision analysis in an evidential reasoning context
Text-guided scene perception cross-modal place recognition for remote sensing localization
TIAN: A time series Imaging Association Network for human abnormal behavior detection
Monometrics and their role in the rationalisation of ranking rules
GPT-4V with emotion: A zero-shot benchmark for Generalized Emotion Recognition
An incremental graph-partitioning algorithm for entity resolution
Integrating incomplete preference estimation and consistency control in consensus reaching
Deep learning for brain age estimation: A systematic review
ReFuSeAct: Representation fusion using self-supervised learning for activity recognition in next generation networks
EFGAN: An automatic GAN-based methodology for mining eddy-front coupling with fused remote sensing data
Poisson image fusion based on Markov random field fusion model
Multiple classifiers combination by clustering and selection
A social network based approach for consensus achievement in multiperson decision making
Point-cloud based 3D object detection and classification methods for self-driving applications: A survey and taxonomy
Ordinal-cardinal consensus analysis for large-scale group decision making with uncertain self-confidence
Exploring structured uncertainty for external prior-guided hyperspectral image fusion
FusionGAN: A generative adversarial network for infrared and visible image fusion
Visual fidelity-oriented compression via representation fusion and diffusion reconstruction
Adaptive online continual multi-view learning
Robust optimal consensus feedback mechanism with private interest in the context of uncertain cost
Improving record linkage with supervised learning for disclosure risk assessment
Increasing depth of neural networks for life-long learning
Engine fault diagnosis based on multi-sensor information fusion using Dempster-Shafer evidence theory
Detecting Android malware: A multimodal fusion method with fine-grained feature
Deep multi-view multiclass twin support vector machines
Towards facial micro-expression detection and classification using modified multimodal ensemble learning approach
CLDM-MMNNs: Cross-layer defense mechanisms through multi-modal neural networks fusion for end-to-end cybersecurity - Issues, challenges, and future directions
Adaptive collaborative fusion for multi-view semi-supervised classification
Multimodal fusion for robust respiratory rate estimation in wearable sensing
Fusion of remotely sensed data over urban areas
Escaping the neutralization effect of modality features fusion in multimodal Fake News Detection
A foundation model enpowered by a multi-modal prompt engine for universal seismic geobody interpretation across surveys
Learning from the global view: Supervised contrastive learning of multimodal representation
Beyond embedding-mapping: Social network alignment via generative information fusion and LLM-guided iterative mechanism
QAPP: A quality-aware and privacy-preserving medical image release scheme
Uncertainty-aware traffic accident risk prediction via multi-view hypergraph contrastive learning
Gait-based identification for elderly users in wearable healthcare systems
Domain structure-based transfer learning for cross-domain word representation
CAM2Former: Fusion of Camera-specific Class Activation Map matters for occluded person re-identification
A smartphone-based multimodal indoor tracking system
Force deployment analysis with generalized grammar
Recursive filtering for two-dimensional systems with amplify-and-forward relays: Handling degraded measurements and dynamic biases
A medical image semantic segmentation method based on multi-color space information fusion strategy
Large-Scale decision-making: Characterization, taxonomy, challenges and future directions from an Artificial Intelligence and applications perspective
Interval-valued matrix factorization and knowledge-guided clustering for trust-aware cross-domain recommendation systems
An efficient and lightweight framework for unsupervised entity alignment between temporal knowledge graphs
Automated algorithm selection using meta-learning and pre-trained deep convolution neural networks
PointExplainer: Towards transparent Parkinson's disease diagnosis
MFGAD: Multi-fuzzy granules anomaly detection
NAPS Fusion: A framework to overcome experimental data limitations to predict human performance and cognitive task outcomes
A localized algorithm for Structural Health Monitoring using wireless sensor networks
On identification of driving-induced stress using electroencephalogram signals: A framework based on wearable safety-critical scheme and machine learning
SIGNed explanations: Unveiling relevant features by reducing bias
A novel deep learning approach using blurring image techniques for Bluetooth-based indoor localisation
Polyp-Mamba: A Hybrid Multi-Frequency Perception Gated Selection Network for polyp segmentation
Comparative implementation of two fusion schemes for multiple complementary FLIR imagery classifiers
A review of Hidden Markov models and Recurrent Neural Networks for event detection and localization in biomedical signals
Prioritized intuitionistic fuzzy aggregation operators
Intentional bounded rationality methodology to assess the quality of decision-making approaches with latent alternative performances
FuseMeter: An efficient framework for generic per-flow traffic measurement
Bridging the gap, not forcing the tie: dual-space alignment and fusion framework for toxic memes detection
Wearable gait analysis of Cervical Spondylotic Myelopathy patients by fusing bipedal inertial information
Perceptive spectral transformer unfolding network with multiscale mixed training for arbitrary-scale hyperspectral and multispectral image fusion
Advancements and challenges in vision-based sign language recognition: A comprehensive review
Intermediate features matter in prototype-guided personalized federated learning
DiffuShield: Flexible privacy-preserving synthetic face generation via generative diffusion model
Self-supervised spatial-temporal transformer fusion based federated framework for 4D cardiovascular image segmentation
Coherent temporal logical reasoning via fusing multi-faced information for link forecasting over temporal knowledge graphs
TextFusion: Unveiling the power of textual semantics for controllable image fusion
RFFR-Net: Robust feature fusion and reconstruction network for clothing-change person re-identification
Verifying energy generation via edge LLM for web3-based decentralized clean energy networks
Unlocking the potential of quantum computing in prefabricated construction supply chains: Current trends, challenges, and future directions
Explainable and programmable hypergraph convolutional network for imaging genetics data fusion
Information Fusion: Greetings from the new Editor-in-Chief
The state-of-art of the generalizations of the Choquet integral: From aggregation and pre-aggregation to ordered directionally monotone functions
PIAFusion: A progressive infrared and visible image fusion network based on illumination aware
Target tracking using Interactive Multiple Model for Wireless Sensor Network
Discrete correntropy-based multi-view anchor-graph clustering
Fuzzy Apriori classifier enhanced by stacking and adversarial knowledge assistance
FedExIT - missing class-agnostic semi-supervised federated learning with extreme imbalance tackling scheme
SGDFormer: One-stage transformer-based architecture for cross-spectral stereo image guided denoising
Utilizing hierarchical efficacy regions of the human brain for treatment prediction through information fusion
Fusion techniques of frame and event cameras in autonomous driving: A review
Data fusion and machine learning for industrial prognosis: Trends and perspectives towards Industry 4.0
RVAFM: Re-parameterizing Vertical Attention Fusion Module for handwritten paragraph text recognition
TS-align: A temporal similarity-aware entity alignment model for temporal knowledge graphs
Transformer-based vision-language alignment for robot navigation and question answering
A special issue on agent-based information fusion
A knowledge-based neural network for fusing edge maps of multi-sensor images
Multi-Scale Data Fusion and AdaptiveLoss Kolmogorov-Arnold Network for multivariate time series forecasting
Multimodal Document Analytics for Banking Process Automation
Predicting and ranking box office revenue of movies based on big data
Ultrasound image segmentation: A systematic review of deformable models from classical techniques to intelligent advancements
KnowleNet: Knowledge fusion network for multimodal sarcasm detection
Context-based multi-level information fusion for harbor surveillance
Skew-sensitive boolean combination for adaptive ensembles - An application to face recognition in video surveillance
DeepTurbid:Underwater marker detection and pose estimation in turbid conditions
XSleepFusion: A dual-stage information bottleneck fusion framework for interpretable multimodal sleep analysis
Fusing time, frequency and shape-related information: Introduction to the Discrete Shapelet Transform's second generation (DST-II)
Optimizing consensus reaching in the hybrid opinion dynamics in a social network•
CGGL: A client-side generative gradient leakage attack with double diffusion prior
IoT-FAR: A multi-sensor fusion approach for IoT-based firefighting activity recognition
Enhanced semantic representation model for multisource point of interest attribute alignment
Survey and challenges of story generation models - A multimodal perspective with five steps: Data embedding, topic modeling, storyline generation, draft story generation, and story evaluation
Combining heterogeneous data sources for spatio-temporal mobility demand forecasting
Joint content-aware and difference-transform lightweight network for remote sensing images semantic change detection
Fusion-based modeling of an intelligent algorithm for enhanced object detection using a Deep Learning Approach on radar and camera data
PreciseVideo: a dual-process framework for zero-shot text-to-video generation with quantitative content control
Learning and grounding visual multimodal adaptive graph for visual navigation
Rotating machinery fault diagnosis method based on multi-level fusion framework of multi-sensor information
A human perception inspired quality metric for image fusion based on regional information
Improved classification with allocation method and multiple classifiers
Confidence factor weighted Gaussian function induced parallel fuzzy rank-level fusion for inference and its application to face recognition
Auxiliary diagnosis of depression in youth based on 3D-CBSResNet12 and multi-modal fusion strategy
A review of deep learning techniques for speech processing
Towards enhanced LLM pretraining: Dynamic checkpoint merging via generation quality
In-network wireless sensor network query processors: State of the art, challenges and future directions
Tightly coupled integration of Visible Light Positioning, GNSS, and INS for indoor/outdoor transition areas
Collaborative Wireless Sensor Networks: Architectures, Algorithms and Applications
Early detection of cardiovascular autonomic neuropathy: A multi-class classification model based on feature selection and deep learning feature fusion
Rethinking multi-exposure image fusion with extreme and diverse exposure levels: A robust framework based on Fourier transform and contrastive learning
A fusion framework to estimate plantar ground force distributions and ankle dynamics
Weakly Supervised RGBT salient object detection via SAM-Guided Label Optimization and Progressive Cross-modal Cross-scale Fusion
An approach to implement data fusion techniques in wireless sensor networks using genetic machine learning algorithms
Decision support system for fatty liver disease using GIST descriptors extracted from ultrasound images