Information Fusion

Papers
(The TQCC of Information Fusion is 24. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-11-01 to 2024-11-01.)
ArticleCitations
A review of uncertainty quantification in deep learning: Techniques, applications and challenges1168
Tabular data: Deep learning is not all you need625
A smart healthcare monitoring system for heart disease prediction based on ensemble deep learning and feature fusion509
Deepfakes and beyond: A Survey of face manipulation and fake detection498
RFN-Nest: An end-to-end residual fusion network for infrared and visible images470
Image fusion meets deep learning: A survey and perspective391
Unbox the black-box for the medical explainable AI via multi-modal and multi-centre data fusion: A mini-review, two showcases and beyond376
Image fusion in the loop of high-level vision tasks: A semantic-aware real-time infrared and visible image fusion network370
Multi-sensor information fusion based on machine learning for real applications in human activity recognition: State-of-the-art and research challenges354
Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence296
A practical tutorial on bagging and boosting based ensembles for machine learning: Algorithms, software tools, performance study, practical perspectives and opportunities293
PIAFusion: A progressive infrared and visible image fusion network based on illumination aware285
Advances in multimodal data fusion in neuroimaging: Overview, challenges, and novel orientation284
A review of multimodal image matching: Methods and applications269
Covid-19 classification by FGCNet with deep feature fusion from graph convolutional network and convolutional neural network267
Notions of explainability and evaluation approaches for explainable artificial intelligence260
Brain tumor segmentation based on the fusion of deep semantics and edge information in multimodal MRI238
Towards multi-modal causability with Graph Neural Networks enabling information fusion for explainable AI230
A survey on deep learning in medicine: Why, how and when?225
Multi-focus image fusion: A Survey of the state of the art211
A systematic review on affective computing: emotion models, databases, and recent advances206
A novel approach of multisensory fusion to collaborative fault diagnosis in maintenance194
COVID-19 classification by CCSHNet with deep fusion using transfer learning and discriminant correlation analysis193
ChatGPT: Jack of all trades, master of none192
Real-world single image super-resolution: A brief review190
Multimodal sentiment analysis: A systematic review of history, datasets, multimodal fusion methods, applications, challenges and future directions188
MFF-GAN: An unsupervised generative adversarial network with adaptive and gradient joint constraints for multi-focus image fusion184
A systematic review of trustworthy and explainable artificial intelligence in healthcare: Assessment of quality, bias risk, and data fusion171
Consensus reaching for group decision making with multi-granular unbalanced linguistic information: A bounded confidence and minimum adjustment-based approach171
Deep learning in food category recognition170
The four dimensions of social network analysis: An overview of research methods, applications, and software tools170
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 China166
Smart anomaly detection in sensor systems: A multi-perspective review165
Multi-source information fusion based on rough set theory: A review162
A comprehensive survey on multimodal medical signals fusion for smart healthcare systems159
An infrared and visible image fusion method based on multi-scale transformation and norm optimization159
Distributed linguistic representations in decision making: Taxonomy, key elements and applications, and challenges in data science and explainable artificial intelligence156
Point-cloud based 3D object detection and classification methods for self-driving applications: A survey and taxonomy150
Image retrieval from remote sensing big data: A survey146
Renewable energy harvesting schemes in wireless sensor networks: A Survey143
Unscented kalman filter with process noise covariance estimation for vehicular ins/gps integration system137
Advances in Data Preprocessing for Biomedical Data Fusion: An Overview of the Methods, Challenges, and Prospects136
A critic evaluation of methods for COVID-19 automatic detection from X-ray images133
The fractal dimension of complex networks: A review133
Machine learning information fusion in Earth observation: A comprehensive review of methods, applications and data sources132
Risk Prediction of Diabetes: Big data mining with fusion of multifarious physical examination indicators132
Fusion in stock market prediction: A decade survey on the necessity, recent developments, and potential future directions132
Exploration in deep reinforcement learning: A survey131
A survey on empathetic dialogue systems131
Recent advances and new guidelines on hyperspectral and multispectral image fusion130
EMFusion: An unsupervised enhanced medical image fusion network130
Object fusion tracking based on visible and infrared images: A comprehensive review127
Counterfactuals and causability in explainable artificial intelligence: Theory, algorithms, and applications122
Alzheimer’s disease multiclass diagnosis via multimodal neuroimaging embedding feature selection and fusion120
Information fusion as an integrative cross-cutting enabler to achieve robust, explainable, and trustworthy medical artificial intelligence120
A maximum self-esteem degree based feedback mechanism for group consensus reaching with the distributed linguistic trust propagation in social network117
A trust-similarity analysis-based clustering method for large-scale group decision-making under a social network114
Human activity recognition based on multienvironment sensor data110
Survey on federated learning threats: Concepts, taxonomy on attacks and defences, experimental study and challenges110
From degrade to upgrade: Learning a self-supervised degradation guided adaptive network for blind remote sensing image super-resolution107
DIVFusion: Darkness-free infrared and visible image fusion107
Image synthesis with adversarial networks: A comprehensive survey and case studies105
Multi-user activity recognition: Challenges and opportunities104
Interpretable learning based Dynamic Graph Convolutional Networks for Alzheimer’s Disease analysis102
A comprehensive survey on regularization strategies in machine learning101
Radar sensor network resource allocation for fused target tracking: A brief review100
Deep learning for pedestrian collective behavior analysis in smart cities: A model of group trajectory outlier detection99
RXDNFuse: A aggregated residual dense network for infrared and visible image fusion97
Deep learning for depression recognition with audiovisual cues: A review97
Fusion of statistical importance for feature selection in Deep Neural Network-based Intrusion Detection System96
Artificial intelligence for cybersecurity: Literature review and future research directions95
A survey of recommender systems for energy efficiency in buildings: Principles, challenges and prospects94
GAN review: Models and medical image fusion applications93
Network traffic classification for data fusion: A survey93
Multimodal Co-learning: Challenges, applications with datasets, recent advances and future directions93
Minimum cost consensus modelling under various linear uncertain-constrained scenarios93
Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation91
COVID-19 and Non-COVID-19 Classification using Multi-layers Fusion From Lung Ultrasound Images87
Benchmarking and comparing multi-exposure image fusion algorithms87
Deep learning based emotion analysis of microblog texts85
Deep learning for anomaly detection in multivariate time series: Approaches, applications, and challenges85
Using artificial intelligence and data fusion for environmental monitoring: A review and future perspectives82
40 years of sensor fusion for orientation tracking via magnetic and inertial measurement units: Methods, lessons learned, and future challenges82
Multispectral and hyperspectral image fusion in remote sensing: A survey81
Data harmonisation for information fusion in digital healthcare: A state-of-the-art systematic review, meta-analysis and future research directions79
Quantum-inspired multimodal fusion for video sentiment analysis79
MST-GAT: A multimodal spatial–temporal graph attention network for time series anomaly detection79
CFCNN: A novel convolutional fusion framework for collaborative fault identification of rotating machinery78
Multimodal sentiment analysis based on fusion methods: A survey78
Multi-level information fusion to alleviate network congestion78
A review of deep learning techniques for speech processing78
A non-threshold consensus model based on the minimum cost and maximum consensus-increasing for multi-attribute large group decision-making78
Federated Learning and Differential Privacy: Software tools analysis, the Sherpa.ai FL framework and methodological guidelines for preserving data privacy77
DiCyc: GAN-based deformation invariant cross-domain information fusion for medical image synthesis76
Image super-resolution: A comprehensive review, recent trends, challenges and applications75
Multimodal Video Sentiment Analysis Using Deep Learning Approaches, a Survey74
Preprocessed dynamic classifier ensemble selection for highly imbalanced drifted data streams74
Image fusion based on generative adversarial network consistent with perception73
Behavioral biometrics & continuous user authentication on mobile devices: A survey72
Medical image segmentation using deep semantic-based methods: A review of techniques, applications and emerging trends70
Current advances and future perspectives of image fusion: A comprehensive review70
High quality 3D reconstruction based on fusion of polarization imaging and binocular stereo vision70
CLEVR-XAI: A benchmark dataset for the ground truth evaluation of neural network explanations67
Heterogeneous data fusion for predicting mild cognitive impairment conversion67
Multi-level feature fusion for multimodal human activity recognition in Internet of Healthcare Things67
Explainable Artificial Intelligence (XAI) 2.0: A manifesto of open challenges and interdisciplinary research directions66
A regret-theory-based three-way decision method with a priori probability tolerance dominance relation in fuzzy incomplete information systems66
CochleaNet: A robust language-independent audio-visual model for real-time speech enhancement63
Learnable graph convolutional network and feature fusion for multi-view learning63
Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends63
Minimum cost consensus model for CRP-driven preference optimization analysis in large-scale group decision making using Louvain algorithm63
Multi-attentive hierarchical dense fusion net for fusion classification of hyperspectral and LiDAR data63
Recent advancements in finger vein recognition technology: Methodology, challenges and opportunities61
Multi-sensor integrated navigation/positioning systems using data fusion: From analytics-based to learning-based approaches60
Laplacian pyramid networks: A new approach for multispectral pansharpening60
Seeking commonness and inconsistencies: A jointly smoothed approach to multi-view subspace clustering60
The introduction of population migration to SEIAR for COVID-19 epidemic modeling with an efficient intervention strategy59
A data-level fusion model for unsupervised attribute selection in multi-source homogeneous data59
Multi-attribute group decision making with opinion dynamics based on social trust network58
Conversational transfer learning for emotion recognition58
Multi-source aggregated classification for stock price movement prediction58
Relaxed multi-view clustering in latent embedding space57
Revisiting crowd behaviour analysis through deep learning: Taxonomy, anomaly detection, crowd emotions, datasets, opportunities and prospects57
Mass customized/personalized manufacturing in Industry 4.0 and blockchain: Research challenges, main problems, and the design of an information architecture57
Finding and removing Clever Hans: Using explanation methods to debug and improve deep models56
MUFusion: A general unsupervised image fusion network based on memory unit55
Data fusion strategies for energy efficiency in buildings: Overview, challenges and novel orientations55
A spatial-channel progressive fusion ResNet for remote sensing classification55
EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: The MonuMAI cultural heritage use case55
Self-supervised feature adaption for infrared and visible image fusion54
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 Tri54
Multilevel projections with adaptive neighbor graph for unsupervised multi-view feature selection53
Deep learning for brain age estimation: A systematic review53
Multi-exposure image fusion via deep perceptual enhancement53
End-to-end multimodal affect recognition in real-world environments53
Remote sensing image classification using subspace sensor fusion53
HoLoCo: Holistic and local contrastive learning network for multi-exposure image fusion53
An adaptive group decision making framework: Individual and local world opinion based opinion dynamics53
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 fidelity53
What makes the difference? An empirical comparison of fusion strategies for multimodal language analysis52
A dynamic hybrid trust network-based dual-path feedback consensus model for multi-attribute group decision-making in intuitionistic fuzzy environment52
A large-scale group consensus reaching approach considering self-confidence with two-tuple linguistic trust/distrust relationship and its application in life cycle sustainability assessment52
Clustering ensemble via structured hypergraph learning51
Multi-feature, multi-modal, and multi-source social event detection: A comprehensive survey51
Visual tracking in complex scenes: A location fusion mechanism based on the combination of multiple visual cognition flows51
A joint introduction to Gaussian Processes and Relevance Vector Machines with connections to Kalman filtering and other kernel smoothers51
Emotion recognition based on convolutional neural networks and heterogeneous bio-signal data sources51
Managing manipulative and non-cooperative behaviors in large scale group decision making based on a WeChat-like interaction network51
AT-GAN: A generative adversarial network with attention and transition for infrared and visible image fusion50
Application of data fusion for automated detection of children with developmental and mental disorders: A systematic review of the last decade50
Data fusion for ITS: A systematic literature review50
A bargaining game based feedback mechanism to support consensus in dynamic social network group decision making50
Managing transitivity and consistency of preferences in AHP group decision making based on minimum modifications50
FusionFedBlock: Fusion of blockchain and federated learning to preserve privacy in industry 5.050
UncertaintyFuseNet: Robust uncertainty-aware hierarchical feature fusion model with Ensemble Monte Carlo Dropout for COVID-19 detection50
Information fusion for edge intelligence: A survey50
A novel quantum model of mass function for uncertain information fusion49
Supervised contrastive learning over prototype-label embeddings for network intrusion detection49
Managing noncooperative behaviors in large-scale group decision-making with linguistic preference orderings: The application in Internet Venture Capital48
Ontology Integration: Approaches and Challenging Issues48
An interval 2-Tuple linguistic Fine-Kinney model for risk analysis based on extended ORESTE method with cumulative prospect theory48
MetaPro: A computational metaphor processing model for text pre-processing48
Random forest explainability using counterfactual sets48
Insights into Internet of Medical Things (IoMT): Data fusion, security issues and potential solutions47
Multi-view spectral clustering via constrained nonnegative embedding47
Multimodal research in vision and language: A review of current and emerging trends47
Multi-modal gait: A wearable, algorithm and data fusion approach for clinical and free-living assessment47
Enhancing the security of blockchain-based software defined networking through trust-based traffic fusion and filtration47
A bidirectional feedback mechanism for balancing group consensus and individual harmony in group decision making46
Distributed optimal linear fusion estimators46
Reciprocal Recommender Systems: Analysis of state-of-art literature, challenges and opportunities towards social recommendation46
A three-way consensus model with regret theory under the framework of probabilistic linguistic term sets45
LPPTE: A lightweight privacy-preserving trust evaluation scheme for facilitating distributed data fusion in cooperative vehicular safety applications45
Attribute filter based infrared and visible image fusion45
Democratic consensus reaching process for multi-person multi-criteria large scale decision making considering participants’ individual attributes and concerns45
An interactively reinforced paradigm for joint infrared-visible image fusion and saliency object detection44
Non-IID data and Continual Learning processes in Federated Learning: A long road ahead44
On learning effective ensembles of deep neural networks for intrusion detection44
Multimodal feature-wise co-attention method for visual question answering44
Early detection of cardiovascular autonomic neuropathy: A multi-class classification model based on feature selection and deep learning feature fusion44
Panchromatic and multispectral image fusion for remote sensing and earth observation: Concepts, taxonomy, literature review, evaluation methodologies and challenges ahead43
Two-stage stochastic minimum cost consensus models with asymmetric adjustment costs43
On consensus reaching process based on social network analysis in uncertain linguistic group decision making: Exploring limited trust propagation and preference modification attitudes43
Bridging deep and multiple kernel learning: A review42
Influence identification of opinion leaders in social networks: an agent-based simulation on competing advertisements42
Emotion recognition and artificial intelligence: A systematic review (2014–2023) and research recommendations42
Efficient closed high-utility pattern fusion model in large-scale databases41
Review of pixel-level remote sensing image fusion based on deep learning41
A theoretical and practical survey of image fusion methods for multispectral pansharpening41
Managing classification-based consensus in social network group decision making: An optimization-based approach with minimum information loss41
A novel approach to stance detection in social media tweets by fusing ranked lists and sentiments41
Deep feature fusion through adaptive discriminative metric learning for scene recognition41
Multi-modal bioelectrical signal fusion analysis based on different acquisition devices and scene settings: Overview, challenges, and novel orientation41
Prediction of Alzheimer's progression based on multimodal Deep-Learning-based fusion and visual Explainability of time-series data40
Shape-Former: Bridging CNN and Transformer via ShapeConv for multimodal image matching40
Long sequence time-series forecasting with deep learning: A survey40
Mobile edge-enabled trust evaluation for the Internet of Things40
Aspect-level sentiment analysis: A survey of graph convolutional network methods40
Coupled adversarial learning for fusion classification of hyperspectral and LiDAR data39
Fairness concern: An equilibrium mechanism for consensus-reaching game in group decision-making39
A distributed particle-PHD filter using arithmetic-average fusion of Gaussian mixture parameters39
Multiscale spatial–spectral transformer network for hyperspectral and multispectral image fusion39
Diagnosis of brain diseases in fusion of neuroimaging modalities using deep learning: A review39
AOBERT: All-modalities-in-One BERT for multimodal sentiment analysis39
Image inpainting based on deep learning: A review38
A review of Hidden Markov models and Recurrent Neural Networks for event detection and localization in biomedical signals38
Epilepsy detection in 121 patient populations using hypercube pattern from EEG signals38
KnowleNet: Knowledge fusion network for multimodal sarcasm detection38
An overview of air quality analysis by big data techniques: Monitoring, forecasting, and traceability38
Beyond explaining: Opportunities and challenges of XAI-based model improvement38
Linear uncertain extensions of the minimum cost consensus model based on uncertain distance and consensus utility38
TFSFB: Two-stage feature selection via fusing fuzzy multi-neighborhood rough set with binary whale optimization for imbalanced data38
Pay attention to doctor–patient dialogues: Multi-modal knowledge graph attention image-text embedding for COVID-19 diagnosis38
ZMFF: Zero-shot multi-focus image fusion37
Fusion of multivariate EEG signals for schizophrenia detection using CNN and machine learning techniques37
Comprehensive Multi-view Representation Learning37
Multi-granular linguistic distribution evidential reasoning method for renewable energy project risk assessment37
Sensor fusion algorithms for orientation tracking via magnetic and inertial measurement units: An experimental comparison survey37
A dynamic ensemble outlier detection model based on an adaptive k-nearest neighbor rule37
A unifying view of class overlap and imbalance: Key concepts, multi-view panorama, and open avenues for research36
Artificial intelligence and healthcare: Forecasting of medical bookings through multi-source time-series fusion36
A public and large-scale expert information fusion method and its application: Mining public opinion via sentiment analysis and measuring public dynamic reliability36
A Multitask learning model for multimodal sarcasm, sentiment and emotion recognition in conversations35
SeDID: An SGX-enabled decentralized intrusion detection framework for network trust evaluation35
Hyperspectral band selection via region-aware latent features fusion based clustering35
Phonetic-enriched text representation for Chinese sentiment analysis with reinforcement learning35
SGFusion: A saliency guided deep-learning framework for pixel-level image fusion34
Fusing topology contexts and logical rules in language models for knowledge graph completion34
DMRFNet: Deep Multimodal Reasoning and Fusion for Visual Question Answering and explanation generation34
Dynamic interactive multiview memory network for emotion recognition in conversation34
Fusion of engineering insights and emerging trends: Intelligent urban traffic management system34
Improving aspect-based sentiment analysis with Knowledge-aware Dependency Graph Network34
Multi-label, multi-task CNN approach for context-based emotion recognition34
Collaborative structure and feature learning for multi-view clustering34
Deep Emotional Arousal Network for Multimodal Sentiment Analysis and Emotion Recognition33
A multimodal-Siamese Neural Network (mSNN) for person verification using signatures and EEG33
CasFormer: Cascaded transformers for fusion-aware computational hyperspectral imaging33
Sugeno integral generalization applied to improve adaptive image binarization33
Deep unsupervised learning based on color un-referenced loss functions for multi-exposure image fusion32
An intelligent fault diagnosis for machine maintenance using weighted soft-voting rule based multi-attention module with multi-scale information fusion32
Consensus reaching in multi-criteria social network group decision making: A stochastic multicriteria acceptability analysis-based method32
Unified gradient- and intensity-discriminator generative adversarial network for image fusion32
A tutorial on the segmentation of metallographic images: Taxonomy, new MetalDAM dataset, deep learning-based ensemble model, experimental analysis and challenges32
A review of state-of-the-art in Face Presentation Attack Detection: From early development to advanced deep learning and multi-modal fusion methods32
Supervised-unsupervised combined deep convolutional neural networks for high-fidelity pansharpening32
Fusing CNNs and statistical indicators to improve image classification32
M-FCCL: Memory-based concept-cognitive learning for dynamic fuzzy data classification and knowledge fusion32
A large scale group decision making system based on sentiment analysis cluster32
Classical dynamic consensus and opinion dynamics models: A survey of recent trends and methodologies31
Knowledge graph-based rich and confidentiality preserving Explainable Artificial Intelligence (XAI)31
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