Information Fusion

Article	Citations
A review of uncertainty quantification in deep learning: Techniques, applications and challenges	1077
Tabular data: Deep learning is not all you need	566
A smart healthcare monitoring system for heart disease prediction based on ensemble deep learning and feature fusion	488
Deepfakes and beyond: A Survey of face manipulation and fake detection	483
RFN-Nest: An end-to-end residual fusion network for infrared and visible images	413
Image fusion meets deep learning: A survey and perspective	355
Unbox the black-box for the medical explainable AI via multi-modal and multi-centre data fusion: A mini-review, two showcases and beyond	353
Multi-sensor information fusion based on machine learning for real applications in human activity recognition: State-of-the-art and research challenges	332
Image fusion in the loop of high-level vision tasks: A semantic-aware real-time infrared and visible image fusion network	323
Pan-GAN: An unsupervised pan-sharpening method for remote sensing image fusion	306
Advances in multimodal data fusion in neuroimaging: Overview, challenges, and novel orientation	274
A practical tutorial on bagging and boosting based ensembles for machine learning: Algorithms, software tools, performance study, practical perspectives and opportunities	265
Covid-19 classification by FGCNet with deep feature fusion from graph convolutional network and convolutional neural network	265
A review of multimodal image matching: Methods and applications	255
An overview on feedback mechanisms with minimum adjustment or cost in consensus reaching in group decision making: Research paradigms and challenges	243
Notions of explainability and evaluation approaches for explainable artificial intelligence	236
PIAFusion: A progressive infrared and visible image fusion network based on illumination aware	231
Towards multi-modal causability with Graph Neural Networks enabling information fusion for explainable AI	224
Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence	216
A survey on deep learning in medicine: Why, how and when?	215
Brain tumor segmentation based on the fusion of deep semantics and edge information in multimodal MRI	213
Multi-focus image fusion: A Survey of the state of the art	203
COVID-19 classification by CCSHNet with deep fusion using transfer learning and discriminant correlation analysis	192
A systematic review on affective computing: emotion models, databases, and recent advances	185
A novel approach of multisensory fusion to collaborative fault diagnosis in maintenance	183

Real-world single image super-resolution: A brief review	180
MFF-GAN: An unsupervised generative adversarial network with adaptive and gradient joint constraints for multi-focus image fusion	172
Consensus reaching for group decision making with multi-granular unbalanced linguistic information: A bounded confidence and minimum adjustment-based approach	168
The four dimensions of social network analysis: An overview of research methods, applications, and software tools	164
Online-review analysis based large-scale group decision-making for determining passenger demands and evaluating passenger satisfaction: Case study of high-speed rail system in China	161
ChatGPT: Jack of all trades, master of none	157
Deep learning in food category recognition	155
Multimodal sentiment analysis: A systematic review of history, datasets, multimodal fusion methods, applications, challenges and future directions	155
Multi-source information fusion based on rough set theory: A review	155
Distributed linguistic representations in decision making: Taxonomy, key elements and applications, and challenges in data science and explainable artificial intelligence	154
An infrared and visible image fusion method based on multi-scale transformation and norm optimization	153
Multi-classifier information fusion in risk analysis	153
Smart anomaly detection in sensor systems: A multi-perspective review	153
A comprehensive survey on multimodal medical signals fusion for smart healthcare systems	148
A systematic review of trustworthy and explainable artificial intelligence in healthcare: Assessment of quality, bias risk, and data fusion	148
Renewable energy harvesting schemes in wireless sensor networks: A Survey	140
Image retrieval from remote sensing big data: A survey	140
Point-cloud based 3D object detection and classification methods for self-driving applications: A survey and taxonomy	135
A critic evaluation of methods for COVID-19 automatic detection from X-ray images	133
Unscented kalman filter with process noise covariance estimation for vehicular ins/gps integration system	132
Advances in Data Preprocessing for Biomedical Data Fusion: An Overview of the Methods, Challenges, and Prospects	131
Risk Prediction of Diabetes: Big data mining with fusion of multifarious physical examination indicators	129
Fusion in stock market prediction: A decade survey on the necessity, recent developments, and potential future directions	128
The fractal dimension of complex networks: A review	127
A survey on empathetic dialogue systems	126
Social network community analysis based large-scale group decision making approach with incomplete fuzzy preference relations	125
EMFusion: An unsupervised enhanced medical image fusion network	123
Recent advances and new guidelines on hyperspectral and multispectral image fusion	121
Object fusion tracking based on visible and infrared images: A comprehensive review	120
Machine learning information fusion in Earth observation: A comprehensive review of methods, applications and data sources	120
Information fusion as an integrative cross-cutting enabler to achieve robust, explainable, and trustworthy medical artificial intelligence	117
Alzheimer’s disease multiclass diagnosis via multimodal neuroimaging embedding feature selection and fusion	117
A maximum self-esteem degree based feedback mechanism for group consensus reaching with the distributed linguistic trust propagation in social network	116
Counterfactuals and causability in explainable artificial intelligence: Theory, algorithms, and applications	111
A trust-similarity analysis-based clustering method for large-scale group decision-making under a social network	111
Exploration in deep reinforcement learning: A survey	108
Explainable decision forest: Transforming a decision forest into an interpretable tree	104
Human activity recognition based on multienvironment sensor data	102
Survey on federated learning threats: Concepts, taxonomy on attacks and defences, experimental study and challenges	99
Interpretable learning based Dynamic Graph Convolutional Networks for Alzheimer’s Disease analysis	98
Image synthesis with adversarial networks: A comprehensive survey and case studies	98
Deep learning for pedestrian collective behavior analysis in smart cities: A model of group trajectory outlier detection	96
Radar sensor network resource allocation for fused target tracking: A brief review	96
Multi-user activity recognition: Challenges and opportunities	96
Deep learning for depression recognition with audiovisual cues: A review	95
From degrade to upgrade: Learning a self-supervised degradation guided adaptive network for blind remote sensing image super-resolution	94
A survey of recommender systems for energy efficiency in buildings: Principles, challenges and prospects	93
Minimum cost consensus modelling under various linear uncertain-constrained scenarios	92
RXDNFuse: A aggregated residual dense network for infrared and visible image fusion	91
Fusion of statistical importance for feature selection in Deep Neural Network-based Intrusion Detection System	90

Network traffic classification for data fusion: A survey	88
DIVFusion: Darkness-free infrared and visible image fusion	88
A comprehensive survey on regularization strategies in machine learning	87
COVID-19 and Non-COVID-19 Classification using Multi-layers Fusion From Lung Ultrasound Images	85
Multimodal Co-learning: Challenges, applications with datasets, recent advances and future directions	81
Deep learning based emotion analysis of microblog texts	81
GAN review: Models and medical image fusion applications	80
40 years of sensor fusion for orientation tracking via magnetic and inertial measurement units: Methods, lessons learned, and future challenges	80
Artificial intelligence for cybersecurity: Literature review and future research directions	79
Benchmarking and comparing multi-exposure image fusion algorithms	79
Federated Learning and Differential Privacy: Software tools analysis, the Sherpa.ai FL framework and methodological guidelines for preserving data privacy	77
Data harmonisation for information fusion in digital healthcare: A state-of-the-art systematic review, meta-analysis and future research directions	77
Multi-level information fusion to alleviate network congestion	77
Multimodal sentiment analysis based on fusion methods: A survey	76
Quantum-inspired multimodal fusion for video sentiment analysis	75
A non-threshold consensus model based on the minimum cost and maximum consensus-increasing for multi-attribute large group decision-making	74
Using artificial intelligence and data fusion for environmental monitoring: A review and future perspectives	73
Multispectral and hyperspectral image fusion in remote sensing: A survey	71
DiCyc: GAN-based deformation invariant cross-domain information fusion for medical image synthesis	71
Preprocessed dynamic classifier ensemble selection for highly imbalanced drifted data streams	70
Processes and methods of information fusion for ranking products based on online reviews: An overview	70
Deep learning for anomaly detection in multivariate time series: Approaches, applications, and challenges	69
Multimodal Video Sentiment Analysis Using Deep Learning Approaches, a Survey	69
MST-GAT: A multimodal spatial–temporal graph attention network for time series anomaly detection	69
Image fusion based on generative adversarial network consistent with perception	67
Behavioral biometrics & continuous user authentication on mobile devices: A survey	67
CFCNN: A novel convolutional fusion framework for collaborative fault identification of rotating machinery	66
Classical and deep learning methods for recognizing human activities and modes of transportation with smartphone sensors	66
High quality 3D reconstruction based on fusion of polarization imaging and binocular stereo vision	66
Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation	66
Heterogeneous data fusion for predicting mild cognitive impairment conversion	66
Knowledge graph fusion for smart systems: A Survey	64
CLEVR-XAI: A benchmark dataset for the ground truth evaluation of neural network explanations	64
CochleaNet: A robust language-independent audio-visual model for real-time speech enhancement	62
Image super-resolution: A comprehensive review, recent trends, challenges and applications	61
Minimum cost consensus model for CRP-driven preference optimization analysis in large-scale group decision making using Louvain algorithm	60
A multiple k-means clustering ensemble algorithm to find nonlinearly separable clusters	60
A review of deep learning techniques for speech processing	59
Laplacian pyramid networks: A new approach for multispectral pansharpening	59
Multi-level feature fusion for multimodal human activity recognition in Internet of Healthcare Things	58
A regret-theory-based three-way decision method with a priori probability tolerance dominance relation in fuzzy incomplete information systems	58
Learnable graph convolutional network and feature fusion for multi-view learning	58
A Quantum-Like multimodal network framework for modeling interaction dynamics in multiparty conversational sentiment analysis	57
Medical image segmentation using deep semantic-based methods: A review of techniques, applications and emerging trends	57
Recent advancements in finger vein recognition technology: Methodology, challenges and opportunities	57
Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends	57
Multi-attentive hierarchical dense fusion net for fusion classification of hyperspectral and LiDAR data	57
Multi-attribute group decision making with opinion dynamics based on social trust network	56
The introduction of population migration to SEIAR for COVID-19 epidemic modeling with an efficient intervention strategy	56
Mass customized/personalized manufacturing in Industry 4.0 and blockchain: Research challenges, main problems, and the design of an information architecture	56
Conversational transfer learning for emotion recognition	56
Current advances and future perspectives of image fusion: A comprehensive review	56
Moving horizon estimation meets multi-sensor information fusion: Development, opportunities and challenges	55
Seeking commonness and inconsistencies: A jointly smoothed approach to multi-view subspace clustering	55
Relaxed multi-view clustering in latent embedding space	54
A data-level fusion model for unsupervised attribute selection in multi-source homogeneous data	54
Data fusion strategies for energy efficiency in buildings: Overview, challenges and novel orientations	54
Revisiting crowd behaviour analysis through deep learning: Taxonomy, anomaly detection, crowd emotions, datasets, opportunities and prospects	53
Multi-source aggregated classification for stock price movement prediction	53
Finding and removing Clever Hans: Using explanation methods to debug and improve deep models	52
A spatial-channel progressive fusion ResNet for remote sensing classification	52
Remote sensing image classification using subspace sensor fusion	52
Sentiment Analysis based Multi-Person Multi-criteria Decision Making methodology using natural language processing and deep learning for smarter decision aid. Case study of restaurant choice using Tri	52
Multilevel projections with adaptive neighbor graph for unsupervised multi-view feature selection	51
A joint introduction to Gaussian Processes and Relevance Vector Machines with connections to Kalman filtering and other kernel smoothers	51
End-to-end multimodal affect recognition in real-world environments	51
EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: The MonuMAI cultural heritage use case	51
Managing manipulative and non-cooperative behaviors in large scale group decision making based on a WeChat-like interaction network	51
Information fusion for edge intelligence: A survey	50
An adaptive group decision making framework: Individual and local world opinion based opinion dynamics	50
A dynamic hybrid trust network-based dual-path feedback consensus model for multi-attribute group decision-making in intuitionistic fuzzy environment	50
UncertaintyFuseNet: Robust uncertainty-aware hierarchical feature fusion model with Ensemble Monte Carlo Dropout for COVID-19 detection	50
What makes the difference? An empirical comparison of fusion strategies for multimodal language analysis	50
Visual tracking in complex scenes: A location fusion mechanism based on the combination of multiple visual cognition flows	49
HoLoCo: Holistic and local contrastive learning network for multi-exposure image fusion	49
A novel quantum model of mass function for uncertain information fusion	49
Managing noncooperative behaviors in large-scale group decision-making with linguistic preference orderings: The application in Internet Venture Capital	49
Multi-feature, multi-modal, and multi-source social event detection: A comprehensive survey	49
Self-supervised feature adaption for infrared and visible image fusion	49
Multi-exposure image fusion via deep perceptual enhancement	49

Supervised contrastive learning over prototype-label embeddings for network intrusion detection	48
Emotion recognition based on convolutional neural networks and heterogeneous bio-signal data sources	48
An interval 2-Tuple linguistic Fine-Kinney model for risk analysis based on extended ORESTE method with cumulative prospect theory	48
Deep learning for brain age estimation: A systematic review	47
A bargaining game based feedback mechanism to support consensus in dynamic social network group decision making	47
Managing transitivity and consistency of preferences in AHP group decision making based on minimum modifications	47
Random forest explainability using counterfactual sets	46
Multi-sensor integrated navigation/positioning systems using data fusion: From analytics-based to learning-based approaches	46
Enhancing the security of blockchain-based software defined networking through trust-based traffic fusion and filtration	46
Clustering ensemble via structured hypergraph learning	46
A large-scale group consensus reaching approach considering self-confidence with two-tuple linguistic trust/distrust relationship and its application in life cycle sustainability assessment	46
MetaPro: A computational metaphor processing model for text pre-processing	45
A bidirectional feedback mechanism for balancing group consensus and individual harmony in group decision making	45
MUFusion: A general unsupervised image fusion network based on memory unit	45
FusionFedBlock: Fusion of blockchain and federated learning to preserve privacy in industry 5.0	45
Multi-view spectral clustering via constrained nonnegative embedding	45
Ontology Integration: Approaches and Challenging Issues	44
Application of data fusion for automated detection of children with developmental and mental disorders: A systematic review of the last decade	44
Multi-modal gait: A wearable, algorithm and data fusion approach for clinical and free-living assessment	44
Democratic consensus reaching process for multi-person multi-criteria large scale decision making considering participants’ individual attributes and concerns	44
Radar networks: A review of features and challenges	44
Reciprocal Recommender Systems: Analysis of state-of-art literature, challenges and opportunities towards social recommendation	43
Multimodal research in vision and language: A review of current and emerging trends	43
LPPTE: A lightweight privacy-preserving trust evaluation scheme for facilitating distributed data fusion in cooperative vehicular safety applications	43
Two-stage stochastic minimum cost consensus models with asymmetric adjustment costs	43
Multimodal feature-wise co-attention method for visual question answering	43
Data fusion for ITS: A systematic literature review	43
Influence identification of opinion leaders in social networks: an agent-based simulation on competing advertisements	42
On consensus reaching process based on social network analysis in uncertain linguistic group decision making: Exploring limited trust propagation and preference modification attitudes	42
A Choquet integral-based hesitant fuzzy gained and lost dominance score method for multi-criteria group decision making considering the risk preferences of experts: Case study of higher business educa	42
AT-GAN: A generative adversarial network with attention and transition for infrared and visible image fusion	42
Early detection of cardiovascular autonomic neuropathy: A multi-class classification model based on feature selection and deep learning feature fusion	42
Extended Kalman filtering subject to random transmission delays: Dealing with packet disorders	42
Distributed optimal linear fusion estimators	42
A three-way consensus model with regret theory under the framework of probabilistic linguistic term sets	41
A novel approach to stance detection in social media tweets by fusing ranked lists and sentiments	41
Attribute filter based infrared and visible image fusion	41
Managing classification-based consensus in social network group decision making: An optimization-based approach with minimum information loss	41
On learning effective ensembles of deep neural networks for intrusion detection	41
Deep feature fusion through adaptive discriminative metric learning for scene recognition	41
Non-IID data and Continual Learning processes in Federated Learning: A long road ahead	39
Multi-modal bioelectrical signal fusion analysis based on different acquisition devices and scene settings: Overview, challenges, and novel orientation	39
Emotion recognition and artificial intelligence: A systematic review (2014–2023) and research recommendations	39
Bridging deep and multiple kernel learning: A review	39
Efficient closed high-utility pattern fusion model in large-scale databases	39
A theoretical and practical survey of image fusion methods for multispectral pansharpening	39
Linear uncertain extensions of the minimum cost consensus model based on uncertain distance and consensus utility	38
AOBERT: All-modalities-in-One BERT for multimodal sentiment analysis	38
Mobile edge-enabled trust evaluation for the Internet of Things	38
Shape-Former: Bridging CNN and Transformer via ShapeConv for multimodal image matching	38
Aspect-level sentiment analysis: A survey of graph convolutional network methods	38
A distributed particle-PHD filter using arithmetic-average fusion of Gaussian mixture parameters	37
Fusing wearable and remote sensing data streams by fast incremental learning with swarm decision table for human activity recognition	37
An interactively reinforced paradigm for joint infrared-visible image fusion and saliency object detection	37
Epilepsy detection in 121 patient populations using hypercube pattern from EEG signals	37
General multi-view semi-supervised least squares support vector machines with multi-manifold regularization	37
Diagnosis of brain diseases in fusion of neuroimaging modalities using deep learning: A review	36
Multi-granular linguistic distribution evidential reasoning method for renewable energy project risk assessment	36
Sensor fusion algorithms for orientation tracking via magnetic and inertial measurement units: An experimental comparison survey	36
A review of Hidden Markov models and Recurrent Neural Networks for event detection and localization in biomedical signals	36
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	36
Fairness concern: An equilibrium mechanism for consensus-reaching game in group decision-making	36
Prediction of Alzheimer's progression based on multimodal Deep-Learning-based fusion and visual Explainability of time-series data	35
Long sequence time-series forecasting with deep learning: A survey	35
Artificial intelligence and healthcare: Forecasting of medical bookings through multi-source time-series fusion	35
A dynamic ensemble outlier detection model based on an adaptive k-nearest neighbor rule	35
Panchromatic and multispectral image fusion for remote sensing and earth observation: Concepts, taxonomy, literature review, evaluation methodologies and challenges ahead	35
Pay attention to doctor–patient dialogues: Multi-modal knowledge graph attention image-text embedding for COVID-19 diagnosis	35
KnowleNet: Knowledge fusion network for multimodal sarcasm detection	34
Phonetic-enriched text representation for Chinese sentiment analysis with reinforcement learning	34
A public and large-scale expert information fusion method and its application: Mining public opinion via sentiment analysis and measuring public dynamic reliability	34
An overview of air quality analysis by big data techniques: Monitoring, forecasting, and traceability	34
Insights into Internet of Medical Things (IoMT): Data fusion, security issues and potential solutions	34
Fusion of multivariate EEG signals for schizophrenia detection using CNN and machine learning techniques	34
Comprehensive Multi-view Representation Learning	34
Review of pixel-level remote sensing image fusion based on deep learning	34
Hyperspectral band selection via region-aware latent features fusion based clustering	33
SeDID: An SGX-enabled decentralized intrusion detection framework for network trust evaluation	33
A unifying view of class overlap and imbalance: Key concepts, multi-view panorama, and open avenues for research	33
TFSFB: Two-stage feature selection via fusing fuzzy multi-neighborhood rough set with binary whale optimization for imbalanced data	33
Explainable Artificial Intelligence (XAI) 2.0: A manifesto of open challenges and interdisciplinary research directions	33
Image inpainting based on deep learning: A review	33
Collaborative structure and feature learning for multi-view clustering	33
A tutorial on the segmentation of metallographic images: Taxonomy, new MetalDAM dataset, deep learning-based ensemble model, experimental analysis and challenges	32
Multi-label, multi-task CNN approach for context-based emotion recognition	32
Sugeno integral generalization applied to improve adaptive image binarization	32
SGFusion: A saliency guided deep-learning framework for pixel-level image fusion	32
Feature distillation network for aspect-based sentiment analysis	32
DMRFNet: Deep Multimodal Reasoning and Fusion for Visual Question Answering and explanation generation	32
A review of state-of-the-art in Face Presentation Attack Detection: From early development to advanced deep learning and multi-modal fusion methods	32
A multimodal-Siamese Neural Network (mSNN) for person verification using signatures and EEG	32
Fusion of engineering insights and emerging trends: Intelligent urban traffic management system	31
Beyond explaining: Opportunities and challenges of XAI-based model improvement	31
Fusing topology contexts and logical rules in language models for knowledge graph completion	31
Supervised-unsupervised combined deep convolutional neural networks for high-fidelity pansharpening	31