yusuke1997/dblp-id-title huggingface dataset:
Parameter agnostic stacked wavelet transformer for detecting singularities
Nation-wide touristic flow prediction with Graph Neural Networks and heterogeneous open data
CIFDet: robust correlation-guided fusion and contrast-driven attention for misaligned multi-modal object detection
Bridging the sim-to-real gap in RF localization with large-scale synthetic pretraining
Multimodal recommender systems: A survey of representation, modeling, and optimization
Composite sketch recognition using saliency and attribute feedback
Data fusion techniques for super-resolution imaging
mm-CasGAN: A cascaded adversarial neural framework for mmWave radar point cloud enhancement
Dataset-aware Utopia modality contribution for imbalanced multimodal learning
On learning effective ensembles of deep neural networks for intrusion detection
Multi-class Arrhythmia detection from 12-lead varied-length ECG using Attention-based Time-Incremental Convolutional Neural Network
Curiosity-driven embodied learning for cross-modal perception
Multi-aspect fusion in foundational large vision model for visible light medical imaging segmentation
Communication between agents with heterogeneous perceptual capabilities
A review of Bayes filters with machine learning techniques and their applications
Integrating visual and audio cues for emotion and gender recognition: A multi modal and multi task approach
Bounded rationality consensus reaching process with prospect theory and preventing individual weight manipulation for multi-attribute group decision making
FedKD-IDS: A robust intrusion detection system using knowledge distillation-based semi-supervised federated learning and anti-poisoning attack mechanism
Preference learning for multi-criteria sorting with interacting criteria: A framework integrating threshold-based value-driven sorting procedure with attention network
MUFusion: A general unsupervised image fusion network based on memory unit
From classical image fusion to deep representation learning: A survey of the advances in hyperspectral image pan-sharpening
Region-based online selective examination for weakly supervised semantic segmentation
Explainable natural language processing for corporate sustainability analysis
Multimodal and multicontrast image fusion via deep generative models
FABRF-Net: A frequency-aware boundary and region fusion network for breast ultrasound image segmentation
An overview of the issue
Detecting trends on the Web: A multidisciplinary approach
Multi-attribute group decision making with opinion dynamics based on social trust network
Map4comm: A map-aware collaborative perception framework with efficient-bandwidth information fusion
A new approach to distributed fusion filtering for networked systems with random parameter matrices and correlated noises
Towards a robust multi-view information bottleneck using Cauchy-Schwarz divergence
Generation and detection of manipulated multimodal audiovisual content: Advances, trends and open challenges
Improved BOTSORT multi-object tracking algorithm for robotic rollers using feature-level fusion of millimeter-wave radar and camera sensors
A fuzzy graph matching approach in intelligence analysis and maintenance of continuous situational awareness
Knowledge fusion in deep learning-based medical vision-language models: A review
ℓp-norm constrained one-class classifier combination
Image fusion based on a new contourlet packet
Association-based concept-cognitive learning for classification: Fusing knowledge with distance metric learning
MamlFormer: Priori-experience guiding transformer network via manifold adversarial multi-modal learning for laryngeal histopathological grading
Risk Prediction of Diabetes: Big data mining with fusion of multifarious physical examination indicators
Efficient analysis of deep neural networks for vision via biologically-inspired receptive field angles: An in-depth survey
Soft labelling based on triangular distributions for ordinal classification
Dependent uncertain ordered weighted aggregation operators
Fusion estimation for multi-sensor networked systems with packet loss compensation
Fusion of multiple diverse predictors in stock market
Feature dynamic alignment and refinement for infrared-visible image fusion: Translation robust fusion
PGA-DRL: Progressive graph attention-based deep reinforcement learning for recommender systems
Interactive color image segmentation via iterative evidential labeling
Data fusion for ITS: A systematic literature review
Democratic consensus reaching process for multi-person multi-criteria large scale decision making considering participants' individual attributes and concerns
A fused deep learning architecture for viewpoint classification of echocardiography
Support vector regression of membership functions and belief functions - Application for pattern recognition
Multimodal Video Sentiment Analysis Using Deep Learning Approaches, a Survey
Generalizing max pooling via (a,b)-grouping functions for Convolutional Neural Networks
Fusion of KANO theory and Attention-BiLSTM models for user demand analysis and trend prediction
Space-variant blur deconvolution and denoising in the dual exposure problem
Learnable graph convolutional network and feature fusion for multi-view learning
IAENet: An importance-aware ensemble model for 3D point cloud-based anomaly detection
Statistical Agnostic Mapping: A framework in neuroimaging based on concentration inequalities
PMANet: Malicious URL detection via post-trained language model guided multi-level feature attention network
Partial observable update for subjective logic and its application for trust estimation
A survey on machine learning for data fusion
Scoping review of multimodal sentiment analysis and summarization: State of the art, challenges and future directions
Variational bimodal image fusion with data-driven tight frame
Cross-modal interaction and multi-source visual fusion for video generation in fetal cardiac screening
Towards eXplicitly eXplainable Artificial Intelligence
A multimodal hybrid deep learning approach for pest forecasting using time series and satellite images
Instruction-driven fusion of Infrared-visible images: Tailoring for diverse downstream tasks
Distributed linguistic representations in decision making: Taxonomy, key elements and applications, and challenges in data science and explainable artificial intelligence
A novel approach to quantitative evaluation of hyperspectral image fusion techniques
SRMER: Synthetic-to-real multimodal emotion recognition
Position estimation in indoor using networked GNSS sensors and a range-azimuth sensor
Diff-PC: Identity-preserving and 3D-aware controllable diffusion for zero-shot portrait customization
HSE: A plug-and-play module for unified fault diagnosis foundation models
Recent advancements in finger vein recognition technology: Methodology, challenges and opportunities
Triple-modality interaction for deepfake detection on zero-shot identity
CS2Fusion: Contrastive learning for Self-Supervised infrared and visible image fusion by estimating feature compensation map
Semantics lead all: Towards unified image registration and fusion from a semantic perspective
A clinical diabetes prediction based support system based on the multi-objective metaheuristic inspired fine tuning deep network
Parker: Data fusion through consistent repairs using edit rules under partial keys
An efficient key distribution system for data fusion in V2X heterogeneous networks
Information handover for track-to-track correlation
Corrigendum to "A novel algorithm for fuzzy soft set based decision making from multiobserver input parameter data set" [Information Fusion 29 (2016) 142-148]
Behavioral biometrics & continuous user authentication on mobile devices: A survey
Ensemble of CNN for multi-focus image fusion
Incomplete label distribution learning via label correlation decomposition
Multiple classifiers in biometrics. part 1: Fundamentals and review
Fast natural color mapping for night-time imagery
A Special Issue on information fusion in computer security
Novel intuitionistic fuzzy decision making models in the framework of decision field theory
Flexible Adaptive Graph Embedding for Semi-supervised Dimension Reduction
Two improved N -two-stage K -means clustering aggregation algorithmic paradigms for HFLTS possibility distributions
A body sensor data fusion and deep recurrent neural network-based behavior recognition approach for robust healthcare
uLiDR: An inertial-assisted unmodulated visible light positioning system for smartphone-based pedestrian navigation
Jeffrey's rule of conditioning with various forms for uncertainty
Combining parametric and non-parametric algorithms for a partially unsupervised classification of multitemporal remote-sensing images
Data fusion to improve trajectory tracking in a Cooperative Surveillance Multi-Agent Architecture
Addendum for "The TBM global distance measure for the association of uncertain combat ID declarations"
An approach using Dempster-Shafer theory to fuse spatial data and satellite image derived crown metrics for estimation of forest stand leading species
Cross-modal multi-relational graph reasoning: A novel model for multimodal textbook comprehension
Optimizing consistency and consensus improvement process for hesitant fuzzy linguistic preference relations and the application in group decision making
Multitask deep label distribution learning for blood pressure prediction
Notions of explainability and evaluation approaches for explainable artificial intelligence
Event-triggered distributed state estimation for a class of time-varying systems over sensor networks with redundant channels
Cross-modal guided and refinement-enhanced Retinex network for robust low-light image enhancement
SPAFPN: Wear a multi-scale feature fusion scarf around neck for real-time object detector
Improving protein-protein interaction modulator predictions via knowledge-fused language models
Foundation models and Transformers for anomaly detection: A survey
Managing transitivity and consistency of preferences in AHP group decision making based on minimum modifications
Does length matter?
IID-MEF: A multi-exposure fusion network based on intrinsic image decomposition
Temporal uncertainty reasoning networks for evidence fusion with applications to object detection and tracking
Meta Multi-Instance Multi-Label learning by heterogeneous network fusion
Fuzzy decision-making framework for explainable golden multi-machine learning models for real-time adversarial attack detection in Vehicular Ad-hoc Networks
Using multiple models to uncover blood vessel patterns in color images for forensic analysis
Hierarchical spatio-temporal graph convolutional neural networks for traffic data imputation
Personalized fuzzy semantic model of PHFLTS: Application to linguistic group decision making
Privacy protection of textual attributes through a semantic-based masking method
Quantum entanglement and self-attention neural networks: An investigation into passengers and stops characteristics for optimal bus stop localization
Exploring brain-heart interactions: advances in physiological signal fusion for healthcare
Multi-modal medical image fusion using the inter-scale and intra-scale dependencies between image shift-invariant shearlet coefficients
Group decision-making mechanism behind collective behaviors in emergency scenarios: an opinion dynamics approach based on reinforcement learning
Objective priors from maximum entropy in data classification
Accurate and automatic spatiotemporal calibration for multi-modal sensor system based on continuous-time optimization
Scheduler-based state estimation over multiple channels networks
Concept-cognitive learning survey: Mining and fusing knowledge from data
FRCSyn-onGoing: Benchmarking and comprehensive evaluation of real and synthetic data to improve face recognition systems
Linguistic recognition system for identification of some possible genes mediating the development of lung adenocarcinoma
Deep learning based emotion analysis of microblog texts
An interval 2-Tuple linguistic Fine-Kinney model for risk analysis based on extended ORESTE method with cumulative prospect theory
Divide-and-conquer architecture based collaborative sensing for target monitoring in wireless sensor networks
A survey on semantic processing techniques
The basic principles of uncertain information fusion. An organised review of merging rules in different representation frameworks
Using extended web technologies to develop Bluetooth multi-platform mobile applications for interact with smart things
Panchromatic and multispectral image fusion for remote sensing and earth observation: Concepts, taxonomy, literature review, evaluation methodologies and challenges ahead
One model connects all graphs: Towards training one unified model for multi-domain graph pre-training using adaptive vector quantization
Online heart monitoring systems on the internet of health things environments: A survey, a reference model and an outlook
Hierarchical multi-source cues fusion for mono-to-binaural based Audio Deepfake Detection
Distributed detection in a large wireless sensor network
A multimodal-Siamese Neural Network (mSNN) for person verification using signatures and EEG
Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation
MCNet: A multi-level consistency network for 3D point cloud self-supervised learning
Semi-supervised multi-sensor information fusion tailored graph embedded low-rank tensor learning machine under extremely low labeled rate
A dynamically updated consensus model for large-scale group decision-making driven by the evolution of public sentiment in emergencies
A three-way consensus model with regret theory under the framework of probabilistic linguistic term sets
Consensus evolution networks: A consensus reaching tool for managing consensus thresholds in group decision making
Exploring fusion strategies for accurate RGBT visual object tracking
Modeling the impact of observation conditions on localization systems
A special issue on information fusion in medical imaging
State estimation and multi-sensor data fusion using data-based neurofuzzy local linearisation process models
CSWin-UNet: Transformer UNet with cross-shaped windows for medical image segmentation
FFS-MCC: Fusing approximation and fuzzy uncertainty measures for feature selection with multi-correlation collaboration
Incomplete fuzzy linguistic preference relations under uncertain environments
iAMeta: Advancing multimodal metaphor detection using MLLMs and information debiasing
Optimizing biosurveillance systems that use threshold-based event detection methods
A privacy-aware framework for detecting cyber attacks on internet of medical things systems using data fusion and quantum deep learning
DivineTree: All-in-one 3D tree modeling with diverse and fused visual guidance
A novel hybrid model combining Vision Transformers and Graph Convolutional Networks for monkeypox disease effective diagnosis
Multi-modal detection of fetal movements using a wearable monitor
A One-Class Classification method based on Expanded Non-Convex Hulls
AI-driven fusion with cybersecurity: Exploring current trends, advanced techniques, future directions, and policy implications for evolving paradigms- A comprehensive review
MFF-GAN: An unsupervised generative adversarial network with adaptive and gradient joint constraints for multi-focus image fusion
Continuous document layout analysis: Human-in-the-loop AI-based data curation, database, and evaluation in the domain of public affairs
Medical image fusion: A survey of the state of the art
Comprehensively evaluating the perception systems of autonomous vehicles against hazards
EHR-KnowGen: Knowledge-enhanced multimodal learning for disease diagnosis generation
Recent advances and new guidelines on hyperspectral and multispectral image fusion
In memoriam: Philippe Smets (1938-2005)
Formalizing classes of information fusion systems
A novel intuitionistic fuzzy generator for low-contrast color image enhancement technique
SMAE-Fusion: Integrating saliency-aware masked autoencoder with hybrid attention transformer for infrared-visible image fusion
Information fusion for affective computing and sentiment analysis
A traceless backdoor attack in offline reinforcement learning
Make source-free transfer great: Dynamic uncertainty-driven confident fusion for multi-source-free domain adaptation
EHR-based prediction modelling meets multimodal deep learning: A systematic review of structured and textual data fusion methods
S2FEINet: A spatial-spectral feature extraction and interactive network for fusing hyperspectral and multispectral images
A decade of deep learning for remote sensing spatiotemporal fusion: Advances, challenges, and opportunities
SCARFF: A scalable framework for streaming credit card fraud detection with spark
POS-GIFT: A geometric and intensity-invariant feature transformation for multimodal images
A novel algorithm for fuzzy soft set based decision making from multiobserver input parameter data set
Co-AMamba: Co-salient object detection with attention and state space model
MFA-NRM: A novel framework for multimodal fusion and semantic alignment in visual neural decoding
A complex event processing approach to perceive the vehicular context
CAMAS: A cluster-aware multiagent system for attributed graph clustering
Few-shot multi-label intent recognition augmented by label knowledge generalization method
Improving airport arrival flow prediction considering heterogeneous and dynamic network dependencies
Disentangling the hourly dynamics of mixed urban function: A multimodal fusion perspective using dynamic graphs
Multi-label guided graph similarity learning for cross-modal retrieval
Fusing texture, shape and deep model-learned information at decision level for automated classification of lung nodules on chest CT
FL-Enhance: A federated learning framework for balancing non-IID data with augmented and shared compressed samples
T-Flash: Topology-flexible latency-aware scheduling for hierarchical decentralized federated learning
ImageDDI: Image-enhanced molecular motif sequence representation for drug-drug interaction prediction
A hierarchical attention network integrating multi-scale relationship for drug response prediction
Robust image fusion using a statistical signal processing approach
A general framework for image fusion based on multi-scale transform and sparse representation
Tabular data: Deep learning is not all you need
NMC: nearest matrix classification - A new combination model for pruning One-vs-One ensembles by transforming the aggregation problem
A novel depression risk prediction model based on data fusion from Chilean National Health Surveys to diagnose risk depression among patients with mood disorders
Exploitation of a priori knowledge for information fusion
RFN-Nest: An end-to-end residual fusion network for infrared and visible images
IMPORTANT-Net: Integrated MRI multi-parametric increment fusion generator with attention network for synthesizing absent data
Intrinsic Cramér-Rao bounds for distributed Bayesian estimator
Web Service aggregation with string distance ensembles and active probe selection
L3former: Enhanced multi-scale shared Transformer with Local Linear Layer for long-term series forecasting
Measuring consensus in a preference-approval context
Joint ego-motion and road geometry estimation
Imputation of missing values in multi-view data
A fusion method for multi-valued data
CDF-DSR: Learning continuous depth field for self-supervised RGB-guided depth map super resolution
Clustering approximation via a fusion of multiple random samples
SelfMAD++: Self-supervised foundation model with local feature enhancement for generalized morphing attack detection
PALADIN: A process-based constraint language for data validation
DDAFormer: A hybrid architecture with dynamic large kernel convolution and distance-aware transformer for Brain Tumor Segmentation
Incomplete multimodal industrial anomaly detection via cross-modal distillation
Representation, optimization and generation of fuzzy measures
MotionAnimate: Animate human images with pose motion for vivid and temporally consistent video generation
EH-former: Regional easy-hard-aware transformer for breast lesion segmentation in ultrasound images
Multi-scale spatial context-based semantic edge detection
HSMix: Hard and soft mixing data augmentation for medical image segmentation
Data fusion for high spatial resolution LAI estimation
An overview of granular computing in decision-making: Extensions, applications, and challenges
How "OPTIMUS" is a city in terms of energy optimization? e-SCEAF: A web based decision support tool for local authorities
Information fusion as a tool for forecasting/prediction - An overview
Dynamic prediction and optimization of tunneling parameters with high reliability based on a hybrid intelligent algorithm
A novel fusion paradigm for multi-channel image denoising
Cross-directional consistency network with adaptive layer normalization for multi-spectral vehicle re-identification and a high-quality benchmark
A multi-sensor data fusion enabled ensemble approach for medical data from body sensor networks
SIMFusion: A semantic information-guided modality-specific fusion network for MR Images
The special issue on fusion of remotely sensed data over urban areas - Part II
A Bayesian network approach for dynamic behavior analysis: Real-time intention recognition
Arbitrary-scale Super-resolution via Deep Learning: A Comprehensive Survey
Information fusion as an integrative cross-cutting enabler to achieve robust, explainable, and trustworthy medical artificial intelligence
CoCoGesture: Towards coherent co-speech 3D gesture generation in the wild
DMRFNet: Deep Multimodal Reasoning and Fusion for Visual Question Answering and explanation generation
X-TF-GridNet: A time-frequency domain target speaker extraction network with adaptive speaker embedding fusion
KDFuse: A high-level vision task-driven infrared and visible image fusion method based on cross-domain knowledge distillation
Steering committee management. Expertise, diversity, and decision-making structures
End-to-end multimodal affect recognition in real-world environments
Deep multi-view clustering: A comprehensive survey of the contemporary techniques
GRAPHITE - Generative Reasoning and Analysis for Predictive Handling in Traffic Efficiency
Fusing consensus knowledge: A federated learning method for fault diagnosis via privacy-preserving reference under domain shift
Deep learning and multi-modal fusion for real-time multi-object tracking: Algorithms, challenges, datasets, and comparative study
An intelligent quality-based approach to fusing multi-source probabilistic information
BDSFusion: A bidirectionally driven saliency fusion network for enhancing small target detection in infrared dual-band images
Multi-task prediction of wind speed and time-varying wind shear coefficient using dynamic graph interactive neural network
A multi-step interaction network for multi-class classification based on OCT and OCTA images
Designing interpretable ML system to enhance trust in healthcare: A systematic review to proposed responsible clinician-AI-collaboration framework
Reducing false positives in anomaly detectors through fuzzy alert aggregation
Biometric template attacks and recent protection mechanisms: A survey
Information fusion techniques for change detection from multi-temporal remote sensing images
DSAP: Analyzing bias through demographic comparison of datasets
When explainable artificial intelligence meets data governance: Enhancing trustworthiness in multimodal gas classification
Using dynamic time warping for online temporal fusion in multisensor systems
Information fusion for computer security: State of the art and open issues
Overfitting cautious selection of classifier ensembles with genetic algorithms
Asymmetric Gaussian Process multi-view learning for visual classification
Tackling the supervised label ranking problem by bagging weak learners
A fusion method for large-scale online review ranking
Agent-based information fusion
A new approach based on association rules to add explainability to time series forecasting models
A survey on deep learning for big data