yusuke1997/dblp-id-title huggingface dataset:
New symmetric belief α-divergence and belief entropy via belief-plausibility transformation for multi-source information fusion
Multi-task mutual learning for multimodal emotion-cause pair extraction in conversations
Memory based fusion for multi-modal deep learning
Quantitative orness for lattice OWA operators
Consensus-based distributed secure state estimation for cyber-physical systems against random cyber attacks
Combined lane and road attributes extraction by fusing data from digital map, laser scanner and camera
Survey of Landmark-based Indoor Positioning Technologies
Counterfactuals and causability in explainable artificial intelligence: Theory, algorithms, and applications
EARS: Emotion-aware recommender system based on hybrid information fusion
Characterizing online health and wellness information consumption: A study
A deep penetration network for sentence classification
Channel-adaptive generative reconstruction and fusion for multi-sensor graph features in few-shot fault diagnosis
Sparse agent transformer for unified voxel and image feature extraction and fusion
A new boosting design of Support Vector Machine classifiers
Cyber democracy in the digital age: Characterizing hate networks in the 2022 US midterm elections
A spatial-channel progressive fusion ResNet for remote sensing classification
E-Mamba: Efficient Mamba network for hyperspectral and LiDAR joint classification
ODFormer: Semantic fundus image segmentation using Transformer for optic nerve head detection
When causality meets missing data: Fusing key information to bridge causal discovery and imputation in time series via bidirectional meta-learning
A novel context-aware retrieval framework for biomedical knowledge integration with large language models
Stimulating conversation-style emergencies of multi-modal LMs
An information fusion framework for person localization via body pose in spectator crowds
Adversarial attacks and defenses in explainable artificial intelligence: A survey
Multi-sensor integrated navigation/positioning systems using data fusion: From analytics-based to learning-based approaches
Dual-grained human mobility learning for location-aware trip recommendation with spatial-temporal graph knowledge fusion
A novel system for object pose estimation using fused vision and inertial data
A robust D-S fusion algorithm for multi-target multi-sensor with higher reliability
Interpretable research of fuzzy methods: A literature survey
Preference disaggregation analysis for sorting problems in the context of group decision-making with uncertain and inconsistent preferences
Cost-effective ensemble models selection using deep reinforcement learning
User-adapted travel planning system for personalized schedule recommendation
Modeling and detecting events for sensor networks
Subject-adaptive meta-learning for personalized BCI: A fusion of resting-state EEG signal and task-specific information
MMSR: Symbolic regression is a multi-modal information fusion task
Temporal-spatial-fusion-based risk assessment on the adjacent building during deep excavation
Blockchain-empowered cluster distillation federated learning for heterogeneous smart grids
An interpretable integration fusion time-frequency prototype contrastive learning for machine fault diagnosis with limited labeled samples
Artificial intelligence for cybersecurity: Literature review and future research directions
Adaptive probabilistic information fusion under concept drift: a generalized bayesian framework
A survey on multi-modal and weakly supervised approaches for robust anomaly detection in video data
Fusion of short-wave infrared and visible near-infrared WorldView-3 data
Action-guided prompt tuning for video grounding
Adaptive symmetry-based adversarial perturbation augmentation for molecular graph representations with dual-fusion attention information
DPSG: Dynamic Propagation Social Graphs for multi-modal fake news detection
Statistical models and learning algorithms for ordinal regression problems
Incremental unsupervised feature selection for dynamic incomplete multi-view data
Infrared and visible image fusion via gradient transfer and total variation minimization
Consensus-reaching process in multi-stage large-scale group decision-making based on social network analysis: Exploring the implication of herding behavior
Integrity-directed sequential state estimation: Assessing high reliability requirements via safe confidence intervals
Information fusion in the context of human-machine interfaces
Multi-dimensional Semantic Self-learning Hashing for multimedia retrieval
The accuracy comparison of multisensor covariance intersection fuser and three weighting fusers
k-ANMI: A mutual information based clustering algorithm for categorical data
A belief function distance metric for orderable sets
An overview of information fusion in the domain of watermarking and document security
KERMIT: Knowledge-EmpoweRed Model In harmful meme deTection
Obfuscation-resilient detection of Android third-party libraries using multi-scale code dependency fusion
MFIR: Multimodal fusion and inconsistency reasoning for explainable fake news detection
Prospect theory-based group decision-making with stochastic uncertainty and 2-tuple aspirations under linguistic assessments
A Self-Training Hierarchical Prototype-based Ensemble Framework for Remote Sensing Scene Classification
Human emotion recognition using deep belief network architecture
A hierarchical consensus learning model for deep multi-view document clustering
Deep learning-based compressed image artifacts reduction based on multi-scale image fusion
Modality-balanced contrastive pre-training for RGB-D salient object detection
Holistic Dynamic Frequency Transformer for image fusion and exposure correction
Lightweight image super-resolution based on deep learning: State-of-the-art and future directions
Diagnosis of retinal diseases driven by Mamba multi-modal CLIP auxiliary fusion network
An influence-driven feedback system for preference similarity network clustering based consensus group decision making model
Fake news detection: Taxonomy and comparative study
Finding FUN in FUsioN - LVIII
TFUN: Trilinear Fusion Network for Ternary Image-Text Retrieval
Information Fusion - A status update
MST-GAT: A multimodal spatial-temporal graph attention network for time series anomaly detection
Fortifying NLP models against poisoning attacks: The power of personalized prediction architectures
Fast metric multi-view hashing for multimedia retrieval
Multimodality information fusion for automated machine translation
Multi-section myocardial status evaluation algorithm based on electrocardiogram and ultrasound image fusion
Intelligent Transportation System (ITS)
A survey of large language models for healthcare: from data, technology, and applications to accountability and ethics
Assessing the role of attention in the audiovisual integration of speech
Data and model aggregation for radiomics applications: Emerging trend and open challenges
Attention-driven contrastive learning for cross-modal hashing with prototypical separation
Variational multimodal machine translation with underlying semantic alignment
When multi-view meets multi-level: A novel spatio-temporal transformer for traffic prediction
Improving positioning accuracy of vehicular navigation system during GPS outages utilizing ensemble learning algorithm
Network traffic fusion and analysis against DDoS flooding attacks with a novel reversible sketch
Hyper-relational interaction modeling in multi-modal trajectory prediction for intelligent connected vehicles in smart cites
Super-resolution image reconstruction techniques: Trade-offs between the data-fidelity and regularization terms
SGFusion: A saliency guided deep-learning framework for pixel-level image fusion
Data fusion and multiple classifier systems for human activity detection and health monitoring: Review and open research directions
An overview on feedback mechanisms with minimum adjustment or cost in consensus reaching in group decision making: Research paradigms and challenges
A transfer fusion framework for body sensor networks (BSNs): Dynamic domain adaptation from distribution evaluation to domain evaluation
Joint Transceiver Design for Linear MMSE Data Fusion in Coherent MAC Wireless Sensor Networks
Diversified branch fusion for self-knowledge distillation
Modal-NexT: Towards unified heterogeneous cellular data integration
Semi-hidden target recognition in gated viewer images fused with thermal IR images
Survey of Neural Network Approaches to Target Tracking with an Emphasis on Interpretability
Opinion Evolution Model for Online Reviews from the Perspective of Value Co-creation
Denoising diffusion fusion network for semantic segmentation based on degradation analysis modeling with graph networks
Heterogeneous sensor data fusion for multiple object association using belief functions
MCDF: Multimodal information fusion and causal analysis for election misinformation detection
CFI-LFENet: Infusing cross-domain fusion image and lightweight feature enhanced network for fault diagnosis
Model-reduced fault detection for multi-rate sensor fusion with unknown inputs
Real-time path planning to dispatch a mobile sensor into an operational area
Target tracking in the framework of possibility theory: The possibilistic Bernoulli filter
Adaptive signal light timing for regional traffic optimization based on graph convolutional network empowered traffic forecasting
Situation identification in smart wearable computing systems based on machine learning and Context Space Theory
Efficient online generation of fuzzy measures via aggregation functions
An advanced data fabric architecture leveraging homomorphic encryption and federated learning
Incomplete multi-view clustering based on hypergraph
A multimodal hyper-fusion transformer for remote sensing image classification
EGCARL: A PPO-based reinforcement learning method with expert guidance and dynamic rewards for autonomous driving
FLEX: Flexible Federated Learning Framework
Exploring the synergetic effects of sample types on the performance of ensembles for credit risk and corporate bankruptcy prediction
Multimodal dual perception fusion framework for multimodal affective analysis
Decoupled variational retinex for reconstruction and fusion of underwater shallow depth-of-field image with parallax and moving objects
Biological image fusion using a NSCT based variable-weight method
Hybrid long-range feature fusion network for multi-modal waste semantic segmentation
Consensus in multi-expert decision making problems using penalty functions defined over a Cartesian product of lattices
Cardinality-limiting extended pre-aggregation functions
Fusion of hierarchical class graphs for remote sensing semantic segmentation
A Quantum-Like multimodal network framework for modeling interaction dynamics in multiparty conversational sentiment analysis
Multi-metric learning for multi-sensor fusion based classification
Multitask reinforcement learning with metadata-guided adaptive routing
A consensus model for large-scale group decision making with hesitant fuzzy information and changeable clusters
Adversarial alignment and graph fusion via information bottleneck for multimodal emotion recognition in conversations
An adaptive fused domain-cycling variational generative adversarial network for machine fault diagnosis under data scarcity
Adaptive ensemble of classifiers with regularization for imbalanced data classification
Federated learning for IoT devices: Enhancing TinyML with on-board training
Fusion of deep feature and apparent feature for flotation grade prediction based on apparent information guidance encoder-decoder network
FuAlign: Cross-lingual entity alignment via multi-view representation learning of fused knowledge graphs
Supervised-unsupervised combined deep convolutional neural networks for high-fidelity pansharpening
Unified framework for learning with label distribution
Enhancing social network hate detection using back translation and GPT-3 augmentations during training and test-time
Digital twin for atrial fibrillation: fundamentals, current advances, challenges and future perspectives
DF-Net: Deep fusion network for multi-source vessel segmentation
Real-time data mining of non-stationary data streams from sensor networks
Optimal weighting of bimodal biometric information with specific application to audio-visual person identification
Emotional editing constraint conversation content generation based on reinforcement learning
Has multimodal learning delivered universal intelligence in healthcare? A comprehensive survey
Multispectral and hyperspectral image fusion with spatial-spectral sparse representation
Multisensor data fusion: A review of the state-of-the-art
The fusion of Internet of Intelligent Things (IoIT) in remote diagnosis of obstructive Sleep Apnea: A survey and a new model
Spatial-Temporal Federated Transfer Learning with multi-sensor data fusion for cooperative positioning
A chest-based continuous cuffless blood pressure method: Estimation and evaluation using multiple body sensors
A multi-source domain information fusion network for rotating machinery fault diagnosis under variable operating conditions
Editor's note: "Emotion recognition from unimodal to multimodal analysis: A review" [Information Fusion, 99 (2023) 101847 https://doi.org/10.1016/j.inffus.2023.101847]
BCTR: Bidirectional Conditioning Transformer for Scene Graph Generation
Multimodal graph learning based on 3D Haar semi-tight framelet for student engagement prediction
An intelligent fault diagnosis for machine maintenance using weighted soft-voting rule based multi-attention module with multi-scale information fusion
Pixel and region level information fusion in membership regularized fuzzy clustering for image segmentation
Minimum conflict consensus models for group decision-making based on social network analysis considering non-cooperative behaviors
Advancing robust regression: Addressing asymmetric noise with the BLINEX loss function
SNAFusion-MM: Distilling sparse sampled measurements by 2D axial diffusion priors with multi-step matching for 3D inverse problem
JSS-CLIP: Boosting image-to-video transfer learning with JigSaw side network
A switch-mode information fusion filter based on ISRUKF for autonomous navigation of spacecraft
A coupled-GAN architecture to fuse MRI and PET image features for multi-stage classification of Alzheimer's disease
Relative information of multi-rate sensors
A semantic-driven coupled network for infrared and visible image fusion
RL-GCL: Reinforcement Learning-Guided Contrastive Learning for molecular property prediction
Quantum-inspired multimodal fusion for video sentiment analysis
Uncertainty measures: A critical survey
Backdoor attacks and defense mechanisms in federated learning: A survey
Some remarks on Kalman filters for the multisensor fusion
Enhancing discriminative ability in multimodal LLMs: A contrastive learning approach for CT report generation
A review of feature set partitioning methods for multi-view ensemble learning
Tianyi: A traditional Chinese medicine all-rounder language model and its real-world clinical practice
Composite distance based approach to von Mises mixture reduction
A Bayesian solution and its approximations to out-of-sequence measurement problems
Traveller: Travel-pattern aware trajectory generation via autoregressive diffusion models
Target motion analysis and track association with a network of proximity sensors
Query-guided multimodal learning network for anomaly detection underneath high-speed trains
Efficient 3D affinely equivariant CNNs with adaptive fusion of augmented spherical Fourier-Bessel bases
ConVLM: Context-guided vision-language model for fine-grained histopathology image classification
IFCNN: A general image fusion framework based on convolutional neural network
Utility-preserving differentially private data releases via individual ranking microaggregation
Cooperative information-driven source search and estimation for multiple agents
Underwater sequential images enhancement via diffusion and physics priors fusion
Distributed maximum correntropy filtering for a class of multi-rate systems over sensor networks
Score-HeDLiSF: A score function of hesitant fuzzy linguistic term set based on hesitant degrees and linguistic scale functions: An application to unbalanced hesitant fuzzy linguistic MULTIMOORA
Evaluation of fused imagery using eye movement-based measures of perceptual processing
TRIMOON: Two-Round Inconsistency-based Multi-modal fusion Network for fake news detection
Advances in multi-sensor fusion for body sensor networks: Algorithms, architectures, and applications
Corrigendum to "Improving the performance of lung nodule classification by fusing structured and unstructured data"
Evaluation of uncertainty quantification methods in multi-label classification: A case study with automatic diagnosis of electrocardiogram
Global and cross-modal feature aggregation for multi-omics data classification and application on drug response prediction
A Special Issue on Information Fusion for Cognitive Automobiles
Visual and textual information fusion using Kernel method for content based image retrieval
Two-stage stochastic minimum cost consensus models with asymmetric adjustment costs
DPD-DFF: A dual phase distributed scheme with double fingerprint fusion for fast and accurate identification in large databases
KPVG: Knowledge-prompted vision-genomics model for cancer survival prediction in whole slide images
Causal knowledge fusion for 3D cross-modality cardiac image segmentation
Robust speech processing
Robust tensor ring-based graph completion for incomplete multi-view clustering
Sample greedy gossip distributed Kalman filter
A Social-aware online short-text feature selection technique for social media
Multi-view graph imputation network
Data harmonisation for information fusion in digital healthcare: A state-of-the-art systematic review, meta-analysis and future research directions
Modality-perceptive harmonization network for visible-infrared person re-identification
Multimodal spatio-temporal-spectral fusion for deep learning applications in physiological time series processing: A case study in monitoring the depth of anesthesia
A systematic review of data fusion techniques for optimized structural health monitoring
Modeling and simulation in support of the design of a data fusion system
Comprehensive Botnet Detection by Mitigating Adversarial Attacks, Navigating the Subtleties of Perturbation Distances and Fortifying Predictions with Conformal Layers
Large language model augmented multi-task learning network with inter-clause modeling for emotion-cause pair extraction
Decoupling semantic and localization for semantic segmentation via magnitude-aware and phase-sensitive learning
Multi-modality approaches for medical support systems: A systematic review of the last decade
An experimental study on diversity for bagging and boosting with linear classifiers
Multi-attentive hierarchical dense fusion net for fusion classification of hyperspectral and LiDAR data
Quantitative imaging with multi-codec fusion to beat distributed bandwidth limit down to starlight level
FTransCNN: Fusing Transformer and a CNN based on fuzzy logic for uncertain medical image segmentation
Some hybrid weighted averaging operators and their application to decision making
Wi-Fi fine time measurement-Principles, applications, and future trends: A survey
Aggregating Ordinal Values Using A Measure Based Median
Pansharpening of multispectral images using the nonseparable framelet lifting transform with high vanishing moments
Generative multi-view and multi-feature learning for classification
IncA-DES: An incremental and adaptive dynamic ensemble selection approach using online K-d tree neighborhood search for data streams with concept drift
COMO: Cross-mamba interaction and offset-guided fusion for multimodal object detection
Managing non-cooperative behaviors in large-scale group decision making based on trust relationships and confidence levels of decision makers
Graph ensemble neural network
Nonlinear unknown input observability and unknown input reconstruction: The general analytical solution
Adversarial robust image processing in medical digital twin
Editorial reflections
A new approach to higher-level information fusion using associative learning in semantic networks of spiking neurons
Integrating images and genomics for multi-modal cancer survival analysis via mixture of experts
A resilient distributed particle filter over sensor networks
Globally optimal distributed and sequential state fusion filters for multi-sensor systems with correlated noises
Class-imbalanced dynamic financial distress prediction based on Adaboost-SVM ensemble combined with SMOTE and time weighting
Integrated MPCAM: Multi-PSF learning for large depth-of-field computational imaging
HUF4WP: A data-fusion framework leveraging high-utility patterns for renewable energy classification
ANFIS fusion algorithm for eye movement recognition via soft multi-functional electronic skin
Fusion-based methods for result diversification in web search
Learning to fuse local geometric features for 3D rigid data matching
Faster nonconvex low-rank matrix learning for image low-level and high-level vision: A unified framework
Hierarchical Collective Agent Network (HCAN) for efficient fusion and management of multiple networked sensors
AFPILD: Acoustic footstep dataset collected using one microphone array and LiDAR sensor for person identification and localization
Hyperspectral-cube-based mobile face recognition: A comprehensive review
Hierarchical fusion and divergent activation based weakly supervised learning for object detection from remote sensing images
Cerflan: Communication-Efficient norm bounding for robust federated learning
Efficiently Integrate Large Language Models with Visual Perception: A Survey from the Training Paradigm Perspective
On building ensembles of stacked denoising auto-encoding classifiers and their further improvement
Multi-view diffusion maps
Fusion of infrared vision and radar for estimating the lateral dynamics of obstacles
Ask and Ye shall be Answered : Bayesian tag-based collaborative recommendation of trustworthy experts over time in community question answering
MDM-NER: A multiple dependency modeling driven named entity recognition approach for judicial documents
Fusion of disparate identity estimates for shared situation awareness in a network-centric environment
Explaining spatio-temporal graph convolutional networks with spatio-temporal constraints perturbation for action recognition
Relational representation learning network for cross-spectral image patch matching
Estimation of a semi-physical GLBE model using dual EnKF learning algorithm coupled with a sensor network design strategy: Application to air field monitoring
High-Level fusion for intelligence applications using Recombinant Cognition Synthesis
Semantic-guided multi-grained cross-modal alignment and fusion network for multimodal aspect-based sentiment analysis
TinyVit-LightGBM: A lightweight and smart feature fusion framework for IoMT-based cancer diagnosis
Non-IID data and Continual Learning processes in Federated Learning: A long road ahead
An improved inertial/wifi/magnetic fusion structure for indoor navigation
Graph refinement and consistency self-supervision for tensorized incomplete multi-view clustering
Information loss challenges in surgical navigation systems: From information fusion to AI-based approaches
Fusing CNNs and statistical indicators to improve image classification
Adaptive management of multimodal biometrics fusion using ant colony optimization
Spatial anomaly detection in sensor networks using neighborhood information
Bipolar possibility theory in preference modeling: Representation, fusion and optimal solutions
Processing intrusion detection alert aggregates with time series modeling
Diffusion-based diverse audio captioning with retrieval-guided Langevin dynamics
DIFNet: Dual-Information Fusion Network for depth completion
Fusion of instance selection methods in regression tasks
A comprehensive survey of research towards AI-enabled unmanned aerial systems in pre-, active-, and post-wildfire management