Information Fusion

Papers
(The TQCC of Information Fusion is 25. 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 2020-05-01 to 2024-05-01.)
ArticleCitations
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI3511
A review of uncertainty quantification in deep learning: Techniques, applications and challenges936
Tabular data: Deep learning is not all you need468
A smart healthcare monitoring system for heart disease prediction based on ensemble deep learning and feature fusion450
Deepfakes and beyond: A Survey of face manipulation and fake detection440
A survey on machine learning for data fusion354
Emotion recognition using multi-modal data and machine learning techniques: A tutorial and review345
RFN-Nest: An end-to-end residual fusion network for infrared and visible images343
Unbox the black-box for the medical explainable AI via multi-modal and multi-centre data fusion: A mini-review, two showcases and beyond305
Image fusion meets deep learning: A survey and perspective304
Multi-sensor information fusion based on machine learning for real applications in human activity recognition: State-of-the-art and research challenges292
Pan-GAN: An unsupervised pan-sharpening method for remote sensing image fusion290
Advances in multimodal data fusion in neuroimaging: Overview, challenges, and novel orientation255
Image fusion in the loop of high-level vision tasks: A semantic-aware real-time infrared and visible image fusion network252
Covid-19 classification by FGCNet with deep feature fusion from graph convolutional network and convolutional neural network250
Overview and comparative study of dimensionality reduction techniques for high dimensional data242
A practical tutorial on bagging and boosting based ensembles for machine learning: Algorithms, software tools, performance study, practical perspectives and opportunities237
An overview on feedback mechanisms with minimum adjustment or cost in consensus reaching in group decision making: Research paradigms and challenges228
A review of multimodal image matching: Methods and applications228
Towards multi-modal causability with Graph Neural Networks enabling information fusion for explainable AI212
Continual learning for robotics: Definition, framework, learning strategies, opportunities and challenges210
A survey on deep learning in medicine: Why, how and when?195
Multi-focus image fusion: A Survey of the state of the art192
Notions of explainability and evaluation approaches for explainable artificial intelligence192
Large-Scale decision-making: Characterization, taxonomy, challenges and future directions from an Artificial Intelligence and applications perspective182
COVID-19 classification by CCSHNet with deep fusion using transfer learning and discriminant correlation analysis181
An overview on spectral and spatial information fusion for hyperspectral image classification: Current trends and challenges172
A novel approach of multisensory fusion to collaborative fault diagnosis in maintenance169
PIAFusion: A progressive infrared and visible image fusion network based on illumination aware168
Brain tumor segmentation based on the fusion of deep semantics and edge information in multimodal MRI162
Feature-level fusion approaches based on multimodal EEG data for depression recognition162
MFF-GAN: An unsupervised generative adversarial network with adaptive and gradient joint constraints for multi-focus image fusion159
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 China155
Real-world single image super-resolution: A brief review154
Consensus reaching for group decision making with multi-granular unbalanced linguistic information: A bounded confidence and minimum adjustment-based approach153
Urban flow prediction from spatiotemporal data using machine learning: A survey149
The four dimensions of social network analysis: An overview of research methods, applications, and software tools148
A systematic review on affective computing: emotion models, databases, and recent advances148
Pixel level fusion techniques for SAR and optical images: A review147
Distributed linguistic representations in decision making: Taxonomy, key elements and applications, and challenges in data science and explainable artificial intelligence144
Multi-classifier information fusion in risk analysis144
Multi-source information fusion based on rough set theory: A review141
An infrared and visible image fusion method based on multi-scale transformation and norm optimization141
A comprehensive survey on multimodal medical signals fusion for smart healthcare systems133
Smart anomaly detection in sensor systems: A multi-perspective review132
Image retrieval from remote sensing big data: A survey130
Deep learning in food category recognition129
Renewable energy harvesting schemes in wireless sensor networks: A Survey128
Point-cloud based 3D object detection and classification methods for self-driving applications: A survey and taxonomy127
Risk Prediction of Diabetes: Big data mining with fusion of multifarious physical examination indicators126
A critic evaluation of methods for COVID-19 automatic detection from X-ray images121
Unscented kalman filter with process noise covariance estimation for vehicular ins/gps integration system120
The state-of-art of the generalizations of the Choquet integral: From aggregation and pre-aggregation to ordered directionally monotone functions119
A survey on empathetic dialogue systems118
Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence117
Fusion in stock market prediction: A decade survey on the necessity, recent developments, and potential future directions117
The fractal dimension of complex networks: A review115
Social network community analysis based large-scale group decision making approach with incomplete fuzzy preference relations115
Advances in Data Preprocessing for Biomedical Data Fusion: An Overview of the Methods, Challenges, and Prospects113
Recent advances and new guidelines on hyperspectral and multispectral image fusion109
Multimodal sentiment analysis: A systematic review of history, datasets, multimodal fusion methods, applications, challenges and future directions108
Information fusion as an integrative cross-cutting enabler to achieve robust, explainable, and trustworthy medical artificial intelligence107
Machine learning information fusion in Earth observation: A comprehensive review of methods, applications and data sources106
Object fusion tracking based on visible and infrared images: A comprehensive review106
Alzheimer’s disease multiclass diagnosis via multimodal neuroimaging embedding feature selection and fusion106
A maximum self-esteem degree based feedback mechanism for group consensus reaching with the distributed linguistic trust propagation in social network104
A trust-similarity analysis-based clustering method for large-scale group decision-making under a social network103
EMFusion: An unsupervised enhanced medical image fusion network103
A systematic review of trustworthy and explainable artificial intelligence in healthcare: Assessment of quality, bias risk, and data fusion99
Explainable decision forest: Transforming a decision forest into an interpretable tree94
Deep learning for pedestrian collective behavior analysis in smart cities: A model of group trajectory outlier detection92
Counterfactuals and causability in explainable artificial intelligence: Theory, algorithms, and applications90
Multi-user activity recognition: Challenges and opportunities89
Minimum cost consensus modelling under various linear uncertain-constrained scenarios88
Interpretable learning based Dynamic Graph Convolutional Networks for Alzheimer’s Disease analysis85
Image synthesis with adversarial networks: A comprehensive survey and case studies84
Reaching a minimum adjustment consensus in social network group decision-making84
A survey of recommender systems for energy efficiency in buildings: Principles, challenges and prospects83
Anaphora and coreference resolution: A review80
Radar sensor network resource allocation for fused target tracking: A brief review80
ChatGPT: Jack of all trades, master of none79
RXDNFuse: A aggregated residual dense network for infrared and visible image fusion78
Deep learning for depression recognition with audiovisual cues: A review78
Human activity recognition based on multienvironment sensor data77
Exploration in deep reinforcement learning: A survey77
COVID-19 and Non-COVID-19 Classification using Multi-layers Fusion From Lung Ultrasound Images76
Multi-level information fusion to alleviate network congestion74
From degrade to upgrade: Learning a self-supervised degradation guided adaptive network for blind remote sensing image super-resolution72
Network traffic classification for data fusion: A survey72
Benchmarking and comparing multi-exposure image fusion algorithms72
Multi-sensor fusion for body sensor network in medical human–robot interaction scenario72
Federated Learning and Differential Privacy: Software tools analysis, the Sherpa.ai FL framework and methodological guidelines for preserving data privacy71
Quantum-inspired multimodal fusion for video sentiment analysis71
Deep learning based emotion analysis of microblog texts71
40 years of sensor fusion for orientation tracking via magnetic and inertial measurement units: Methods, lessons learned, and future challenges71
Data harmonisation for information fusion in digital healthcare: A state-of-the-art systematic review, meta-analysis and future research directions70
Fusion of statistical importance for feature selection in Deep Neural Network-based Intrusion Detection System69
A non-threshold consensus model based on the minimum cost and maximum consensus-increasing for multi-attribute large group decision-making68
A comprehensive survey on regularization strategies in machine learning67
Processes and methods of information fusion for ranking products based on online reviews: An overview65
Multimodal Co-learning: Challenges, applications with datasets, recent advances and future directions65
Preprocessed dynamic classifier ensemble selection for highly imbalanced drifted data streams65
DiCyc: GAN-based deformation invariant cross-domain information fusion for medical image synthesis65
Survey on federated learning threats: Concepts, taxonomy on attacks and defences, experimental study and challenges64
DIVFusion: Darkness-free infrared and visible image fusion63
Knowledge graph fusion for smart systems: A Survey62
Classical and deep learning methods for recognizing human activities and modes of transportation with smartphone sensors61
Heterogeneous data fusion for predicting mild cognitive impairment conversion60
Behavioral biometrics & continuous user authentication on mobile devices: A survey60
CochleaNet: A robust language-independent audio-visual model for real-time speech enhancement60
Multispectral and hyperspectral image fusion in remote sensing: A survey59
Using artificial intelligence and data fusion for environmental monitoring: A review and future perspectives59
Image fusion based on generative adversarial network consistent with perception58
Multimodal Video Sentiment Analysis Using Deep Learning Approaches, a Survey57
High quality 3D reconstruction based on fusion of polarization imaging and binocular stereo vision57
GAN review: Models and medical image fusion applications55
CFCNN: A novel convolutional fusion framework for collaborative fault identification of rotating machinery54
The introduction of population migration to SEIAR for COVID-19 epidemic modeling with an efficient intervention strategy54
Minimum cost consensus model for CRP-driven preference optimization analysis in large-scale group decision making using Louvain algorithm53
A multiple k-means clustering ensemble algorithm to find nonlinearly separable clusters53
Conversational transfer learning for emotion recognition53
Multi-attentive hierarchical dense fusion net for fusion classification of hyperspectral and LiDAR data52
CLEVR-XAI: A benchmark dataset for the ground truth evaluation of neural network explanations52
Laplacian pyramid networks: A new approach for multispectral pansharpening52
Contextual deep learning-based audio-visual switching for speech enhancement in real-world environments52
A Quantum-Like multimodal network framework for modeling interaction dynamics in multiparty conversational sentiment analysis51
A regret-theory-based three-way decision method with a priori probability tolerance dominance relation in fuzzy incomplete information systems51
Recent advancements in finger vein recognition technology: Methodology, challenges and opportunities51
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 Tri51
Multi-attribute group decision making with opinion dynamics based on social trust network50
Moving horizon estimation meets multi-sensor information fusion: Development, opportunities and challenges50
A data-level fusion model for unsupervised attribute selection in multi-source homogeneous data49
Data fusion strategies for energy efficiency in buildings: Overview, challenges and novel orientations49
Remote sensing image classification using subspace sensor fusion49
Multimodal sentiment analysis based on fusion methods: A survey49
Visual tracking in complex scenes: A location fusion mechanism based on the combination of multiple visual cognition flows48
A joint introduction to Gaussian Processes and Relevance Vector Machines with connections to Kalman filtering and other kernel smoothers48
Mass customized/personalized manufacturing in Industry 4.0 and blockchain: Research challenges, main problems, and the design of an information architecture48
A spatial-channel progressive fusion ResNet for remote sensing classification47
A Dual–Branch Attention fusion deep network for multiresolution remote–Sensing image classification47
Finding and removing Clever Hans: Using explanation methods to debug and improve deep models46
What makes the difference? An empirical comparison of fusion strategies for multimodal language analysis46
MST-GAT: A multimodal spatial–temporal graph attention network for time series anomaly detection46
Managing noncooperative behaviors in large-scale group decision-making with linguistic preference orderings: The application in Internet Venture Capital46
Emotion recognition based on convolutional neural networks and heterogeneous bio-signal data sources46
Relaxed multi-view clustering in latent embedding space46
Multilevel projections with adaptive neighbor graph for unsupervised multi-view feature selection45
An interval 2-Tuple linguistic Fine-Kinney model for risk analysis based on extended ORESTE method with cumulative prospect theory45
End-to-end multimodal affect recognition in real-world environments45
Information fusion for edge intelligence: A survey44
An adaptive group decision making framework: Individual and local world opinion based opinion dynamics44
Self-supervised feature adaption for infrared and visible image fusion44
Supervised contrastive learning over prototype-label embeddings for network intrusion detection44
Managing transitivity and consistency of preferences in AHP group decision making based on minimum modifications44
Revisiting crowd behaviour analysis through deep learning: Taxonomy, anomaly detection, crowd emotions, datasets, opportunities and prospects44
Deep learning for anomaly detection in multivariate time series: Approaches, applications, and challenges43
Multi-level feature fusion for multimodal human activity recognition in Internet of Healthcare Things43
EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: The MonuMAI cultural heritage use case43
Managing manipulative and non-cooperative behaviors in large scale group decision making based on a WeChat-like interaction network43
A novel quantum model of mass function for uncertain information fusion42
A bidirectional feedback mechanism for balancing group consensus and individual harmony in group decision making42
Artificial intelligence for cybersecurity: Literature review and future research directions42
Random forest explainability using counterfactual sets42
Learnable graph convolutional network and feature fusion for multi-view learning42
MetaPro: A computational metaphor processing model for text pre-processing41
Radar networks: A review of features and challenges41
Enhancing the security of blockchain-based software defined networking through trust-based traffic fusion and filtration41
Multimodal feature-wise co-attention method for visual question answering41
Two-stage stochastic minimum cost consensus models with asymmetric adjustment costs41
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 educa41
UncertaintyFuseNet: Robust uncertainty-aware hierarchical feature fusion model with Ensemble Monte Carlo Dropout for COVID-19 detection41
Democratic consensus reaching process for multi-person multi-criteria large scale decision making considering participants’ individual attributes and concerns41
Multi-feature, multi-modal, and multi-source social event detection: A comprehensive survey41
Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation41
Distributed optimal linear fusion estimators40
Multimodal research in vision and language: A review of current and emerging trends40
Hyperspectral image visualization with edge-preserving filtering and principal component analysis40
Influence identification of opinion leaders in social networks: an agent-based simulation on competing advertisements40
Multi-source aggregated classification for stock price movement prediction40
Current advances and future perspectives of image fusion: A comprehensive review40
Reciprocal Recommender Systems: Analysis of state-of-art literature, challenges and opportunities towards social recommendation39
Multi-exposure image fusion via deep perceptual enhancement39
Multi-modal gait: A wearable, algorithm and data fusion approach for clinical and free-living assessment39
Seeking commonness and inconsistencies: A jointly smoothed approach to multi-view subspace clustering39
Image super-resolution: A comprehensive review, recent trends, challenges and applications39
HoLoCo: Holistic and local contrastive learning network for multi-exposure image fusion39
On learning effective ensembles of deep neural networks for intrusion detection38
Deep feature fusion through adaptive discriminative metric learning for scene recognition38
A dynamic hybrid trust network-based dual-path feedback consensus model for multi-attribute group decision-making in intuitionistic fuzzy environment38
Extended Kalman filtering subject to random transmission delays: Dealing with packet disorders38
Bridging deep and multiple kernel learning: A review38
Ontology Integration: Approaches and Challenging Issues37
Attribute filter based infrared and visible image fusion37
Early detection of cardiovascular autonomic neuropathy: A multi-class classification model based on feature selection and deep learning feature fusion37
A bargaining game based feedback mechanism to support consensus in dynamic social network group decision making37
Efficient closed high-utility pattern fusion model in large-scale databases37
Medical image segmentation using deep semantic-based methods: A review of techniques, applications and emerging trends37
FusionFedBlock: Fusion of blockchain and federated learning to preserve privacy in industry 5.037
Mobile edge-enabled trust evaluation for the Internet of Things37
General multi-view semi-supervised least squares support vector machines with multi-manifold regularization36
Multi-view spectral clustering via constrained nonnegative embedding36
Managing classification-based consensus in social network group decision making: An optimization-based approach with minimum information loss36
A novel approach to stance detection in social media tweets by fusing ranked lists and sentiments36
Clustering ensemble via structured hypergraph learning36
A large-scale group consensus reaching approach considering self-confidence with two-tuple linguistic trust/distrust relationship and its application in life cycle sustainability assessment36
Deep learning for brain age estimation: A systematic review36
On consensus reaching process based on social network analysis in uncertain linguistic group decision making: Exploring limited trust propagation and preference modification attitudes35
Fusing wearable and remote sensing data streams by fast incremental learning with swarm decision table for human activity recognition35
Shape-Former: Bridging CNN and Transformer via ShapeConv for multimodal image matching35
Aspect-level sentiment analysis: A survey of graph convolutional network methods35
Application of data fusion for automated detection of children with developmental and mental disorders: A systematic review of the last decade35
A review of deep learning techniques for speech processing34
Artificial intelligence and healthcare: Forecasting of medical bookings through multi-source time-series fusion34
Multi-sensor integrated navigation/positioning systems using data fusion: From analytics-based to learning-based approaches34
Multi-level information fusion for learning a blood pressure predictive model using sensor data33
Fairness concern: An equilibrium mechanism for consensus-reaching game in group decision-making33
A distributed particle-PHD filter using arithmetic-average fusion of Gaussian mixture parameters33
LPPTE: A lightweight privacy-preserving trust evaluation scheme for facilitating distributed data fusion in cooperative vehicular safety applications33
A theoretical and practical survey of image fusion methods for multispectral pansharpening33
Linear uncertain extensions of the minimum cost consensus model based on uncertain distance and consensus utility33
Phonetic-enriched text representation for Chinese sentiment analysis with reinforcement learning33
Pay attention to doctor–patient dialogues: Multi-modal knowledge graph attention image-text embedding for COVID-19 diagnosis33
A dynamic ensemble outlier detection model based on an adaptive k-nearest neighbor rule32
Data fusion for ITS: A systematic literature review32
Hyperspectral band selection via region-aware latent features fusion based clustering32
Multi-granular linguistic distribution evidential reasoning method for renewable energy project risk assessment32
Sensor fusion algorithms for orientation tracking via magnetic and inertial measurement units: An experimental comparison survey32
AT-GAN: A generative adversarial network with attention and transition for infrared and visible image fusion31
Non-IID data and Continual Learning processes in Federated Learning: A long road ahead31
Multi-modal bioelectrical signal fusion analysis based on different acquisition devices and scene settings: Overview, challenges, and novel orientation31
A review of state-of-the-art in Face Presentation Attack Detection: From early development to advanced deep learning and multi-modal fusion methods31
A review of Hidden Markov models and Recurrent Neural Networks for event detection and localization in biomedical signals31
Multi-label, multi-task CNN approach for context-based emotion recognition31
A public and large-scale expert information fusion method and its application: Mining public opinion via sentiment analysis and measuring public dynamic reliability31
A three-way consensus model with regret theory under the framework of probabilistic linguistic term sets30
PoNet: A universal physical optimization-based spectral super-resolution network for arbitrary multispectral images30
Feature distillation network for aspect-based sentiment analysis30
Epilepsy detection in 121 patient populations using hypercube pattern from EEG signals30
Deep unsupervised learning based on color un-referenced loss functions for multi-exposure image fusion30
SeDID: An SGX-enabled decentralized intrusion detection framework for network trust evaluation30
DMRFNet: Deep Multimodal Reasoning and Fusion for Visual Question Answering and explanation generation30
Optimal group selection model for large-scale group decision making29
Sugeno integral generalization applied to improve adaptive image binarization29
Comprehensive Multi-view Representation Learning29
Fusion of engineering insights and emerging trends: Intelligent urban traffic management system29
MUFusion: A general unsupervised image fusion network based on memory unit29
A multimodal-Siamese Neural Network (mSNN) for person verification using signatures and EEG29
UAV swarm based radar signal sorting via multi-source data fusion: A deep transfer learning framework28
Robust minimum cost consensus models with various individual preference scenarios under unit adjustment cost uncertainty28
An overview of air quality analysis by big data techniques: Monitoring, forecasting, and traceability28
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