Information Fusion

Article	Citations
A review of uncertainty quantification in deep learning: Techniques, applications and challenges	1031
Tabular data: Deep learning is not all you need	530
A smart healthcare monitoring system for heart disease prediction based on ensemble deep learning and feature fusion	475
Deepfakes and beyond: A Survey of face manipulation and fake detection	471
RFN-Nest: An end-to-end residual fusion network for infrared and visible images	389
Emotion recognition using multi-modal data and machine learning techniques: A tutorial and review	379
Unbox the black-box for the medical explainable AI via multi-modal and multi-centre data fusion: A mini-review, two showcases and beyond	341
Image fusion meets deep learning: A survey and perspective	338
Multi-sensor information fusion based on machine learning for real applications in human activity recognition: State-of-the-art and research challenges	317
Pan-GAN: An unsupervised pan-sharpening method for remote sensing image fusion	302
Image fusion in the loop of high-level vision tasks: A semantic-aware real-time infrared and visible image fusion network	298
Overview and comparative study of dimensionality reduction techniques for high dimensional data	269
Advances in multimodal data fusion in neuroimaging: Overview, challenges, and novel orientation	268
Covid-19 classification by FGCNet with deep feature fusion from graph convolutional network and convolutional neural network	262
A practical tutorial on bagging and boosting based ensembles for machine learning: Algorithms, software tools, performance study, practical perspectives and opportunities	257
A review of multimodal image matching: Methods and applications	245
An overview on feedback mechanisms with minimum adjustment or cost in consensus reaching in group decision making: Research paradigms and challenges	236
Notions of explainability and evaluation approaches for explainable artificial intelligence	221
Towards multi-modal causability with Graph Neural Networks enabling information fusion for explainable AI	219
A survey on deep learning in medicine: Why, how and when?	211
PIAFusion: A progressive infrared and visible image fusion network based on illumination aware	206
Brain tumor segmentation based on the fusion of deep semantics and edge information in multimodal MRI	198
Multi-focus image fusion: A Survey of the state of the art	198
Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence	191
Large-Scale decision-making: Characterization, taxonomy, challenges and future directions from an Artificial Intelligence and applications perspective	189

COVID-19 classification by CCSHNet with deep fusion using transfer learning and discriminant correlation analysis	188
An overview on spectral and spatial information fusion for hyperspectral image classification: Current trends and challenges	181
A novel approach of multisensory fusion to collaborative fault diagnosis in maintenance	176
A systematic review on affective computing: emotion models, databases, and recent advances	173
MFF-GAN: An unsupervised generative adversarial network with adaptive and gradient joint constraints for multi-focus image fusion	169
Feature-level fusion approaches based on multimodal EEG data for depression recognition	168
Real-world single image super-resolution: A brief review	166
Consensus reaching for group decision making with multi-granular unbalanced linguistic information: A bounded confidence and minimum adjustment-based approach	161
Urban flow prediction from spatiotemporal data using machine learning: A survey	160
The four dimensions of social network analysis: An overview of research methods, applications, and software tools	159
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	158
Pixel level fusion techniques for SAR and optical images: A review	153
Distributed linguistic representations in decision making: Taxonomy, key elements and applications, and challenges in data science and explainable artificial intelligence	151
An infrared and visible image fusion method based on multi-scale transformation and norm optimization	150
Multi-source information fusion based on rough set theory: A review	150
Multi-classifier information fusion in risk analysis	148
Smart anomaly detection in sensor systems: A multi-perspective review	147
A comprehensive survey on multimodal medical signals fusion for smart healthcare systems	144
Deep learning in food category recognition	142
Image retrieval from remote sensing big data: A survey	138
Multimodal sentiment analysis: A systematic review of history, datasets, multimodal fusion methods, applications, challenges and future directions	138
Renewable energy harvesting schemes in wireless sensor networks: A Survey	136
Point-cloud based 3D object detection and classification methods for self-driving applications: A survey and taxonomy	133
ChatGPT: Jack of all trades, master of none	129
A systematic review of trustworthy and explainable artificial intelligence in healthcare: Assessment of quality, bias risk, and data fusion	128
Risk Prediction of Diabetes: Big data mining with fusion of multifarious physical examination indicators	128
A critic evaluation of methods for COVID-19 automatic detection from X-ray images	127
Fusion in stock market prediction: A decade survey on the necessity, recent developments, and potential future directions	125
Unscented kalman filter with process noise covariance estimation for vehicular ins/gps integration system	124
A survey on empathetic dialogue systems	124
Advances in Data Preprocessing for Biomedical Data Fusion: An Overview of the Methods, Challenges, and Prospects	123
The fractal dimension of complex networks: A review	123
Social network community analysis based large-scale group decision making approach with incomplete fuzzy preference relations	121
EMFusion: An unsupervised enhanced medical image fusion network	119
Machine learning information fusion in Earth observation: A comprehensive review of methods, applications and data sources	117
Object fusion tracking based on visible and infrared images: A comprehensive review	117
Recent advances and new guidelines on hyperspectral and multispectral image fusion	116
Information fusion as an integrative cross-cutting enabler to achieve robust, explainable, and trustworthy medical artificial intelligence	115
Alzheimer’s disease multiclass diagnosis via multimodal neuroimaging embedding feature selection and fusion	113
A maximum self-esteem degree based feedback mechanism for group consensus reaching with the distributed linguistic trust propagation in social network	112
A trust-similarity analysis-based clustering method for large-scale group decision-making under a social network	108
Counterfactuals and causability in explainable artificial intelligence: Theory, algorithms, and applications	104
Explainable decision forest: Transforming a decision forest into an interpretable tree	99
Exploration in deep reinforcement learning: A survey	97
Image synthesis with adversarial networks: A comprehensive survey and case studies	94
Interpretable learning based Dynamic Graph Convolutional Networks for Alzheimer’s Disease analysis	94
Multi-user activity recognition: Challenges and opportunities	93
Deep learning for pedestrian collective behavior analysis in smart cities: A model of group trajectory outlier detection	93
Radar sensor network resource allocation for fused target tracking: A brief review	91
Minimum cost consensus modelling under various linear uncertain-constrained scenarios	91

Reaching a minimum adjustment consensus in social network group decision-making	91
Deep learning for depression recognition with audiovisual cues: A review	89
A survey of recommender systems for energy efficiency in buildings: Principles, challenges and prospects	89
Human activity recognition based on multienvironment sensor data	88
From degrade to upgrade: Learning a self-supervised degradation guided adaptive network for blind remote sensing image super-resolution	87
RXDNFuse: A aggregated residual dense network for infrared and visible image fusion	87
Survey on federated learning threats: Concepts, taxonomy on attacks and defences, experimental study and challenges	87
Fusion of statistical importance for feature selection in Deep Neural Network-based Intrusion Detection System	86
DIVFusion: Darkness-free infrared and visible image fusion	83
Network traffic classification for data fusion: A survey	82
COVID-19 and Non-COVID-19 Classification using Multi-layers Fusion From Lung Ultrasound Images	81
Anaphora and coreference resolution: A review	80
A comprehensive survey on regularization strategies in machine learning	80
Deep learning based emotion analysis of microblog texts	78
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	76
Multimodal Co-learning: Challenges, applications with datasets, recent advances and future directions	76
Benchmarking and comparing multi-exposure image fusion algorithms	76
Federated Learning and Differential Privacy: Software tools analysis, the Sherpa.ai FL framework and methodological guidelines for preserving data privacy	75
40 years of sensor fusion for orientation tracking via magnetic and inertial measurement units: Methods, lessons learned, and future challenges	75
Quantum-inspired multimodal fusion for video sentiment analysis	73
Using artificial intelligence and data fusion for environmental monitoring: A review and future perspectives	71
A non-threshold consensus model based on the minimum cost and maximum consensus-increasing for multi-attribute large group decision-making	70
GAN review: Models and medical image fusion applications	70
DiCyc: GAN-based deformation invariant cross-domain information fusion for medical image synthesis	69
Processes and methods of information fusion for ranking products based on online reviews: An overview	69
Multimodal sentiment analysis based on fusion methods: A survey	69
Multispectral and hyperspectral image fusion in remote sensing: A survey	69
Preprocessed dynamic classifier ensemble selection for highly imbalanced drifted data streams	67
Multimodal Video Sentiment Analysis Using Deep Learning Approaches, a Survey	66
Heterogeneous data fusion for predicting mild cognitive impairment conversion	65
Classical and deep learning methods for recognizing human activities and modes of transportation with smartphone sensors	64
Knowledge graph fusion for smart systems: A Survey	63
Image fusion based on generative adversarial network consistent with perception	63
Behavioral biometrics & continuous user authentication on mobile devices: A survey	63
CochleaNet: A robust language-independent audio-visual model for real-time speech enhancement	62
CFCNN: A novel convolutional fusion framework for collaborative fault identification of rotating machinery	62
High quality 3D reconstruction based on fusion of polarization imaging and binocular stereo vision	62
MST-GAT: A multimodal spatial–temporal graph attention network for time series anomaly detection	61
Artificial intelligence for cybersecurity: Literature review and future research directions	61
Minimum cost consensus model for CRP-driven preference optimization analysis in large-scale group decision making using Louvain algorithm	57
Deep learning for anomaly detection in multivariate time series: Approaches, applications, and challenges	56
A regret-theory-based three-way decision method with a priori probability tolerance dominance relation in fuzzy incomplete information systems	56
Multi-attentive hierarchical dense fusion net for fusion classification of hyperspectral and LiDAR data	56
Multi-attribute group decision making with opinion dynamics based on social trust network	56
CLEVR-XAI: A benchmark dataset for the ground truth evaluation of neural network explanations	56
A multiple k-means clustering ensemble algorithm to find nonlinearly separable clusters	56
Recent advancements in finger vein recognition technology: Methodology, challenges and opportunities	55
Contextual deep learning-based audio-visual switching for speech enhancement in real-world environments	55
The introduction of population migration to SEIAR for COVID-19 epidemic modeling with an efficient intervention strategy	55
Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation	55
Laplacian pyramid networks: A new approach for multispectral pansharpening	55
Conversational transfer learning for emotion recognition	55
Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends	54
Image super-resolution: A comprehensive review, recent trends, challenges and applications	54
A Quantum-Like multimodal network framework for modeling interaction dynamics in multiparty conversational sentiment analysis	54
Mass customized/personalized manufacturing in Industry 4.0 and blockchain: Research challenges, main problems, and the design of an information architecture	54
Multi-level feature fusion for multimodal human activity recognition in Internet of Healthcare Things	53
Moving horizon estimation meets multi-sensor information fusion: Development, opportunities and challenges	53
Learnable graph convolutional network and feature fusion for multi-view learning	53
Remote sensing image classification using subspace sensor fusion	52
Revisiting crowd behaviour analysis through deep learning: Taxonomy, anomaly detection, crowd emotions, datasets, opportunities and prospects	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
A spatial-channel progressive fusion ResNet for remote sensing classification	52
Current advances and future perspectives of image fusion: A comprehensive review	51
A review of deep learning techniques for speech processing	51
Data fusion strategies for energy efficiency in buildings: Overview, challenges and novel orientations	51
A data-level fusion model for unsupervised attribute selection in multi-source homogeneous data	51
Relaxed multi-view clustering in latent embedding space	51
A joint introduction to Gaussian Processes and Relevance Vector Machines with connections to Kalman filtering and other kernel smoothers	50
Medical image segmentation using deep semantic-based methods: A review of techniques, applications and emerging trends	50
Seeking commonness and inconsistencies: A jointly smoothed approach to multi-view subspace clustering	50
End-to-end multimodal affect recognition in real-world environments	50
Visual tracking in complex scenes: A location fusion mechanism based on the combination of multiple visual cognition flows	49
Finding and removing Clever Hans: Using explanation methods to debug and improve deep models	49
What makes the difference? An empirical comparison of fusion strategies for multimodal language analysis	48
Multi-source aggregated classification for stock price movement prediction	48
Self-supervised feature adaption for infrared and visible image fusion	48
Multilevel projections with adaptive neighbor graph for unsupervised multi-view feature selection	48
Emotion recognition based on convolutional neural networks and heterogeneous bio-signal data sources	48

A dynamic hybrid trust network-based dual-path feedback consensus model for multi-attribute group decision-making in intuitionistic fuzzy environment	48
An adaptive group decision making framework: Individual and local world opinion based opinion dynamics	48
UncertaintyFuseNet: Robust uncertainty-aware hierarchical feature fusion model with Ensemble Monte Carlo Dropout for COVID-19 detection	48
EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: The MonuMAI cultural heritage use case	48
Information fusion for edge intelligence: A survey	47
HoLoCo: Holistic and local contrastive learning network for multi-exposure image fusion	47
Managing noncooperative behaviors in large-scale group decision-making with linguistic preference orderings: The application in Internet Venture Capital	47
Managing manipulative and non-cooperative behaviors in large scale group decision making based on a WeChat-like interaction network	47
A novel quantum model of mass function for uncertain information fusion	46
An interval 2-Tuple linguistic Fine-Kinney model for risk analysis based on extended ORESTE method with cumulative prospect theory	46
Managing transitivity and consistency of preferences in AHP group decision making based on minimum modifications	46
Supervised contrastive learning over prototype-label embeddings for network intrusion detection	46
Multi-exposure image fusion via deep perceptual enhancement	46
FusionFedBlock: Fusion of blockchain and federated learning to preserve privacy in industry 5.0	44
Multi-feature, multi-modal, and multi-source social event detection: A comprehensive survey	44
Radar networks: A review of features and challenges	44
Random forest explainability using counterfactual sets	44
A bidirectional feedback mechanism for balancing group consensus and individual harmony in group decision making	44
Deep learning for brain age estimation: A systematic review	44
A bargaining game based feedback mechanism to support consensus in dynamic social network group decision making	43
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	43
Enhancing the security of blockchain-based software defined networking through trust-based traffic fusion and filtration	43
MetaPro: A computational metaphor processing model for text pre-processing	43
Multi-sensor integrated navigation/positioning systems using data fusion: From analytics-based to learning-based approaches	43
Two-stage stochastic minimum cost consensus models with asymmetric adjustment costs	43
Distributed optimal linear fusion estimators	42
Multimodal feature-wise co-attention method for visual question answering	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
MUFusion: A general unsupervised image fusion network based on memory unit	42
LPPTE: A lightweight privacy-preserving trust evaluation scheme for facilitating distributed data fusion in cooperative vehicular safety applications	42
Multi-modal gait: A wearable, algorithm and data fusion approach for clinical and free-living assessment	42
Democratic consensus reaching process for multi-person multi-criteria large scale decision making considering participants’ individual attributes and concerns	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
Ontology Integration: Approaches and Challenging Issues	41
Influence identification of opinion leaders in social networks: an agent-based simulation on competing advertisements	41
Clustering ensemble via structured hypergraph learning	41
Reciprocal Recommender Systems: Analysis of state-of-art literature, challenges and opportunities towards social recommendation	41
Multimodal research in vision and language: A review of current and emerging trends	41
Application of data fusion for automated detection of children with developmental and mental disorders: A systematic review of the last decade	40
Deep feature fusion through adaptive discriminative metric learning for scene recognition	40
Early detection of cardiovascular autonomic neuropathy: A multi-class classification model based on feature selection and deep learning feature fusion	40
Extended Kalman filtering subject to random transmission delays: Dealing with packet disorders	40
Multi-view spectral clustering via constrained nonnegative embedding	40
Attribute filter based infrared and visible image fusion	39
A three-way consensus model with regret theory under the framework of probabilistic linguistic term sets	39
Managing classification-based consensus in social network group decision making: An optimization-based approach with minimum information loss	39
AT-GAN: A generative adversarial network with attention and transition for infrared and visible image fusion	39
On learning effective ensembles of deep neural networks for intrusion detection	39
A novel approach to stance detection in social media tweets by fusing ranked lists and sentiments	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	38
Linear uncertain extensions of the minimum cost consensus model based on uncertain distance and consensus utility	38
Bridging deep and multiple kernel learning: A review	38
General multi-view semi-supervised least squares support vector machines with multi-manifold regularization	37
Aspect-level sentiment analysis: A survey of graph convolutional network methods	37
Mobile edge-enabled trust evaluation for the Internet of Things	37
Shape-Former: Bridging CNN and Transformer via ShapeConv for multimodal image matching	37
Fusing wearable and remote sensing data streams by fast incremental learning with swarm decision table for human activity recognition	37
Multi-granular linguistic distribution evidential reasoning method for renewable energy project risk assessment	36
Non-IID data and Continual Learning processes in Federated Learning: A long road ahead	36
Fairness concern: An equilibrium mechanism for consensus-reaching game in group decision-making	36
Data fusion for ITS: A systematic literature review	36
A review of Hidden Markov models and Recurrent Neural Networks for event detection and localization in biomedical signals	35
Multi-modal bioelectrical signal fusion analysis based on different acquisition devices and scene settings: Overview, challenges, and novel orientation	35
Panchromatic and multispectral image fusion for remote sensing and earth observation: Concepts, taxonomy, literature review, evaluation methodologies and challenges ahead	34
AOBERT: All-modalities-in-One BERT for multimodal sentiment analysis	34
Artificial intelligence and healthcare: Forecasting of medical bookings through multi-source time-series fusion	34
Pay attention to doctor–patient dialogues: Multi-modal knowledge graph attention image-text embedding for COVID-19 diagnosis	34
A distributed particle-PHD filter using arithmetic-average fusion of Gaussian mixture parameters	34
Epilepsy detection in 121 patient populations using hypercube pattern from EEG signals	34
Diagnosis of brain diseases in fusion of neuroimaging modalities using deep learning: A review	33
Sensor fusion algorithms for orientation tracking via magnetic and inertial measurement units: An experimental comparison survey	33
Long sequence time-series forecasting with deep learning: A survey	33
Emotion recognition and artificial intelligence: A systematic review (2014–2023) and research recommendations	33
Comprehensive Multi-view Representation Learning	33
Fusion of multivariate EEG signals for schizophrenia detection using CNN and machine learning techniques	33
A dynamic ensemble outlier detection model based on an adaptive k-nearest neighbor rule	33
An interactively reinforced paradigm for joint infrared-visible image fusion and saliency object detection	33
Phonetic-enriched text representation for Chinese sentiment analysis with reinforcement learning	33
A public and large-scale expert information fusion method and its application: Mining public opinion via sentiment analysis and measuring public dynamic reliability	33
SeDID: An SGX-enabled decentralized intrusion detection framework for network trust evaluation	32
Hyperspectral band selection via region-aware latent features fusion based clustering	32
TFSFB: Two-stage feature selection via fusing fuzzy multi-neighborhood rough set with binary whale optimization for imbalanced data	32
Multi-label, multi-task CNN approach for context-based emotion recognition	32
Sugeno integral generalization applied to improve adaptive image binarization	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	31
Feature distillation network for aspect-based sentiment analysis	31
Review of pixel-level remote sensing image fusion based on deep learning	31
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	31
Image inpainting based on deep learning: A review	31
A unifying view of class overlap and imbalance: Key concepts, multi-view panorama, and open avenues for research	31
An overview of air quality analysis by big data techniques: Monitoring, forecasting, and traceability	31
A multimodal-Siamese Neural Network (mSNN) for person verification using signatures and EEG	31
Collaborative structure and feature learning for multi-view clustering	30
DMRFNet: Deep Multimodal Reasoning and Fusion for Visual Question Answering and explanation generation	30