Information Fusion

Papers
(The TQCC of Information Fusion is 26. 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 2020-04-01 to 2024-04-01.)
ArticleCitations
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI3373
A review of uncertainty quantification in deep learning: Techniques, applications and challenges894
Tabular data: Deep learning is not all you need449
A smart healthcare monitoring system for heart disease prediction based on ensemble deep learning and feature fusion434
Deepfakes and beyond: A Survey of face manipulation and fake detection427
A survey on machine learning for data fusion347
Emotion recognition using multi-modal data and machine learning techniques: A tutorial and review334
RFN-Nest: An end-to-end residual fusion network for infrared and visible images324
Unbox the black-box for the medical explainable AI via multi-modal and multi-centre data fusion: A mini-review, two showcases and beyond286
Pan-GAN: An unsupervised pan-sharpening method for remote sensing image fusion285
Image fusion meets deep learning: A survey and perspective284
Multi-sensor information fusion based on machine learning for real applications in human activity recognition: State-of-the-art and research challenges274
Covid-19 classification by FGCNet with deep feature fusion from graph convolutional network and convolutional neural network246
Advances in multimodal data fusion in neuroimaging: Overview, challenges, and novel orientation241
Image fusion in the loop of high-level vision tasks: A semantic-aware real-time infrared and visible image fusion network236
Overview and comparative study of dimensionality reduction techniques for high dimensional data233
A practical tutorial on bagging and boosting based ensembles for machine learning: Algorithms, software tools, performance study, practical perspectives and opportunities227
An overview on feedback mechanisms with minimum adjustment or cost in consensus reaching in group decision making: Research paradigms and challenges219
A review of multimodal image matching: Methods and applications218
Towards multi-modal causability with Graph Neural Networks enabling information fusion for explainable AI208
Continual learning for robotics: Definition, framework, learning strategies, opportunities and challenges200
A survey on deep learning in medicine: Why, how and when?193
Notions of explainability and evaluation approaches for explainable artificial intelligence184
Multi-focus image fusion: A Survey of the state of the art180
Large-Scale decision-making: Characterization, taxonomy, challenges and future directions from an Artificial Intelligence and applications perspective179
COVID-19 classification by CCSHNet with deep fusion using transfer learning and discriminant correlation analysis176
An overview on spectral and spatial information fusion for hyperspectral image classification: Current trends and challenges166
A novel approach of multisensory fusion to collaborative fault diagnosis in maintenance161
Feature-level fusion approaches based on multimodal EEG data for depression recognition158
MFF-GAN: An unsupervised generative adversarial network with adaptive and gradient joint constraints for multi-focus image fusion153
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 China152
Consensus reaching for group decision making with multi-granular unbalanced linguistic information: A bounded confidence and minimum adjustment-based approach150
Brain tumor segmentation based on the fusion of deep semantics and edge information in multimodal MRI148
PIAFusion: A progressive infrared and visible image fusion network based on illumination aware148
The four dimensions of social network analysis: An overview of research methods, applications, and software tools144
Urban flow prediction from spatiotemporal data using machine learning: A survey143
Pixel level fusion techniques for SAR and optical images: A review143
Multi-classifier information fusion in risk analysis142
Real-world single image super-resolution: A brief review140
Distributed linguistic representations in decision making: Taxonomy, key elements and applications, and challenges in data science and explainable artificial intelligence140
A systematic review on affective computing: emotion models, databases, and recent advances138
An infrared and visible image fusion method based on multi-scale transformation and norm optimization134
Multi-source information fusion based on rough set theory: A review133
Image retrieval from remote sensing big data: A survey129
Renewable energy harvesting schemes in wireless sensor networks: A Survey125
Smart anomaly detection in sensor systems: A multi-perspective review125
Risk Prediction of Diabetes: Big data mining with fusion of multifarious physical examination indicators124
Point-cloud based 3D object detection and classification methods for self-driving applications: A survey and taxonomy122
A critic evaluation of methods for COVID-19 automatic detection from X-ray images120
A comprehensive survey on multimodal medical signals fusion for smart healthcare systems119
Deep learning in food category recognition118
The state-of-art of the generalizations of the Choquet integral: From aggregation and pre-aggregation to ordered directionally monotone functions118
A survey on empathetic dialogue systems116
Unscented kalman filter with process noise covariance estimation for vehicular ins/gps integration system116
Fusion in stock market prediction: A decade survey on the necessity, recent developments, and potential future directions113
The fractal dimension of complex networks: A review112
Advances in Data Preprocessing for Biomedical Data Fusion: An Overview of the Methods, Challenges, and Prospects109
Social network community analysis based large-scale group decision making approach with incomplete fuzzy preference relations109
Recent advances and new guidelines on hyperspectral and multispectral image fusion107
Alzheimer’s disease multiclass diagnosis via multimodal neuroimaging embedding feature selection and fusion104
Object fusion tracking based on visible and infrared images: A comprehensive review104
Information fusion as an integrative cross-cutting enabler to achieve robust, explainable, and trustworthy medical artificial intelligence101
Machine learning information fusion in Earth observation: A comprehensive review of methods, applications and data sources101
A maximum self-esteem degree based feedback mechanism for group consensus reaching with the distributed linguistic trust propagation in social network101
A trust-similarity analysis-based clustering method for large-scale group decision-making under a social network100
EMFusion: An unsupervised enhanced medical image fusion network98
Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence93
Explainable decision forest: Transforming a decision forest into an interpretable tree92
Deep learning for pedestrian collective behavior analysis in smart cities: A model of group trajectory outlier detection92
A systematic review of trustworthy and explainable artificial intelligence in healthcare: Assessment of quality, bias risk, and data fusion89
Multi-user activity recognition: Challenges and opportunities88
Multimodal sentiment analysis: A systematic review of history, datasets, multimodal fusion methods, applications, challenges and future directions88
Counterfactuals and causability in explainable artificial intelligence: Theory, algorithms, and applications86
Minimum cost consensus modelling under various linear uncertain-constrained scenarios85
Image synthesis with adversarial networks: A comprehensive survey and case studies84
Interpretable learning based Dynamic Graph Convolutional Networks for Alzheimer’s Disease analysis82
A survey of recommender systems for energy efficiency in buildings: Principles, challenges and prospects79
Radar sensor network resource allocation for fused target tracking: A brief review78
Reaching a minimum adjustment consensus in social network group decision-making78
Anaphora and coreference resolution: A review76
COVID-19 and Non-COVID-19 Classification using Multi-layers Fusion From Lung Ultrasound Images76
RXDNFuse: A aggregated residual dense network for infrared and visible image fusion74
Multi-level information fusion to alleviate network congestion74
Deep learning for depression recognition with audiovisual cues: A review73
Human activity recognition based on multienvironment sensor data71
Deep learning based emotion analysis of microblog texts71
Federated Learning and Differential Privacy: Software tools analysis, the Sherpa.ai FL framework and methodological guidelines for preserving data privacy70
Quantum-inspired multimodal fusion for video sentiment analysis69
Multi-sensor fusion for body sensor network in medical human–robot interaction scenario68
40 years of sensor fusion for orientation tracking via magnetic and inertial measurement units: Methods, lessons learned, and future challenges67
Exploration in deep reinforcement learning: A survey67
Network traffic classification for data fusion: A survey67
Data harmonisation for information fusion in digital healthcare: A state-of-the-art systematic review, meta-analysis and future research directions66
Fusion of statistical importance for feature selection in Deep Neural Network-based Intrusion Detection System65
Benchmarking and comparing multi-exposure image fusion algorithms65
A non-threshold consensus model based on the minimum cost and maximum consensus-increasing for multi-attribute large group decision-making64
Multimodal Co-learning: Challenges, applications with datasets, recent advances and future directions63
Preprocessed dynamic classifier ensemble selection for highly imbalanced drifted data streams62
DiCyc: GAN-based deformation invariant cross-domain information fusion for medical image synthesis62
Processes and methods of information fusion for ranking products based on online reviews: An overview61
CochleaNet: A robust language-independent audio-visual model for real-time speech enhancement60
Heterogeneous data fusion for predicting mild cognitive impairment conversion60
Survey on federated learning threats: Concepts, taxonomy on attacks and defences, experimental study and challenges60
Classical and deep learning methods for recognizing human activities and modes of transportation with smartphone sensors60
From degrade to upgrade: Learning a self-supervised degradation guided adaptive network for blind remote sensing image super-resolution60
A comprehensive survey on regularization strategies in machine learning59
Knowledge graph fusion for smart systems: A Survey58
Behavioral biometrics & continuous user authentication on mobile devices: A survey58
ChatGPT: Jack of all trades, master of none58
Entropy-driven data aggregation method for energy-efficient wireless sensor networks56
DIVFusion: Darkness-free infrared and visible image fusion56
Multispectral and hyperspectral image fusion in remote sensing: A survey55
Image fusion based on generative adversarial network consistent with perception54
Multimodal Video Sentiment Analysis Using Deep Learning Approaches, a Survey53
Using artificial intelligence and data fusion for environmental monitoring: A review and future perspectives52
High quality 3D reconstruction based on fusion of polarization imaging and binocular stereo vision52
A multiple k-means clustering ensemble algorithm to find nonlinearly separable clusters52
Conversational transfer learning for emotion recognition52
The introduction of population migration to SEIAR for COVID-19 epidemic modeling with an efficient intervention strategy51
Contextual deep learning-based audio-visual switching for speech enhancement in real-world environments51
GAN review: Models and medical image fusion applications51
Recent advancements in finger vein recognition technology: Methodology, challenges and opportunities50
Minimum cost consensus model for CRP-driven preference optimization analysis in large-scale group decision making using Louvain algorithm50
CFCNN: A novel convolutional fusion framework for collaborative fault identification of rotating machinery50
CLEVR-XAI: A benchmark dataset for the ground truth evaluation of neural network explanations50
Laplacian pyramid networks: A new approach for multispectral pansharpening50
Multi-attentive hierarchical dense fusion net for fusion classification of hyperspectral and LiDAR data50
A Quantum-Like multimodal network framework for modeling interaction dynamics in multiparty conversational sentiment analysis50
Multi-attribute group decision making with opinion dynamics based on social trust network49
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 Tri49
Remote sensing image classification using subspace sensor fusion49
Mass customized/personalized manufacturing in Industry 4.0 and blockchain: Research challenges, main problems, and the design of an information architecture48
Moving horizon estimation meets multi-sensor information fusion: Development, opportunities and challenges48
A regret-theory-based three-way decision method with a priori probability tolerance dominance relation in fuzzy incomplete information systems48
Data fusion strategies for energy efficiency in buildings: Overview, challenges and novel orientations48
A spatial-channel progressive fusion ResNet for remote sensing classification47
A Dual–Branch Attention fusion deep network for multiresolution remote–Sensing image classification47
A joint introduction to Gaussian Processes and Relevance Vector Machines with connections to Kalman filtering and other kernel smoothers47
Visual tracking in complex scenes: A location fusion mechanism based on the combination of multiple visual cognition flows46
Cooperative positioning for emergency responders using self IMU and peer-to-peer radios measurements46
A data-level fusion model for unsupervised attribute selection in multi-source homogeneous data45
Opinion dynamics model based on the cognitive dissonance: An agent-based simulation45
Managing noncooperative behaviors in large-scale group decision-making with linguistic preference orderings: The application in Internet Venture Capital45
Managing transitivity and consistency of preferences in AHP group decision making based on minimum modifications44
Emotion recognition based on convolutional neural networks and heterogeneous bio-signal data sources44
Relaxed multi-view clustering in latent embedding space44
MST-GAT: A multimodal spatial–temporal graph attention network for time series anomaly detection44
End-to-end multimodal affect recognition in real-world environments44
Information fusion for edge intelligence: A survey43
What makes the difference? An empirical comparison of fusion strategies for multimodal language analysis43
Supervised contrastive learning over prototype-label embeddings for network intrusion detection43
Finding and removing Clever Hans: Using explanation methods to debug and improve deep models43
Managing manipulative and non-cooperative behaviors in large scale group decision making based on a WeChat-like interaction network43
Revisiting crowd behaviour analysis through deep learning: Taxonomy, anomaly detection, crowd emotions, datasets, opportunities and prospects42
A bidirectional feedback mechanism for balancing group consensus and individual harmony in group decision making42
An adaptive group decision making framework: Individual and local world opinion based opinion dynamics42
Self-supervised feature adaption for infrared and visible image fusion42
Random forest explainability using counterfactual sets42
Multilevel projections with adaptive neighbor graph for unsupervised multi-view feature selection42
Enhancing the security of blockchain-based software defined networking through trust-based traffic fusion and filtration41
MetaPro: A computational metaphor processing model for text pre-processing40
Radar networks: A review of features and challenges40
Multimodal feature-wise co-attention method for visual question answering40
An interval 2-Tuple linguistic Fine-Kinney model for risk analysis based on extended ORESTE method with cumulative prospect theory40
Hyperspectral image visualization with edge-preserving filtering and principal component analysis40
Democratic consensus reaching process for multi-person multi-criteria large scale decision making considering participants’ individual attributes and concerns40
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 educa40
Reciprocal Recommender Systems: Analysis of state-of-art literature, challenges and opportunities towards social recommendation39
Multimodal research in vision and language: A review of current and emerging trends39
Multi-modal gait: A wearable, algorithm and data fusion approach for clinical and free-living assessment39
EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: The MonuMAI cultural heritage use case39
A novel quantum model of mass function for uncertain information fusion39
UncertaintyFuseNet: Robust uncertainty-aware hierarchical feature fusion model with Ensemble Monte Carlo Dropout for COVID-19 detection39
Deep feature fusion through adaptive discriminative metric learning for scene recognition38
Extended Kalman filtering subject to random transmission delays: Dealing with packet disorders38
Distributed optimal linear fusion estimators38
Multi-feature, multi-modal, and multi-source social event detection: A comprehensive survey38
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
Multi-level feature fusion for multimodal human activity recognition in Internet of Healthcare Things37
Learnable graph convolutional network and feature fusion for multi-view learning37
Two-stage stochastic minimum cost consensus models with asymmetric adjustment costs37
Ontology Integration: Approaches and Challenging Issues37
Current advances and future perspectives of image fusion: A comprehensive review37
Bridging deep and multiple kernel learning: A review37
Deep learning for anomaly detection in multivariate time series: Approaches, applications, and challenges36
A dynamic hybrid trust network-based dual-path feedback consensus model for multi-attribute group decision-making in intuitionistic fuzzy environment36
HoLoCo: Holistic and local contrastive learning network for multi-exposure image fusion36
On learning effective ensembles of deep neural networks for intrusion detection36
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
A bargaining game based feedback mechanism to support consensus in dynamic social network group decision making36
Mobile edge-enabled trust evaluation for the Internet of Things36
Multimodal sentiment analysis based on fusion methods: A survey36
General multi-view semi-supervised least squares support vector machines with multi-manifold regularization35
Influence identification of opinion leaders in social networks: an agent-based simulation on competing advertisements35
Clustering ensemble via structured hypergraph learning35
Artificial intelligence for cybersecurity: Literature review and future research directions35
Deep learning for brain age estimation: A systematic review35
Image super-resolution: A comprehensive review, recent trends, challenges and applications35
Fusing wearable and remote sensing data streams by fast incremental learning with swarm decision table for human activity recognition35
FusionFedBlock: Fusion of blockchain and federated learning to preserve privacy in industry 5.034
A large-scale group consensus reaching approach considering self-confidence with two-tuple linguistic trust/distrust relationship and its application in life cycle sustainability assessment34
Efficient closed high-utility pattern fusion model in large-scale databases34
Multi-exposure image fusion via deep perceptual enhancement34
Multi-source aggregated classification for stock price movement prediction33
Multi-level information fusion for learning a blood pressure predictive model using sensor data33
Artificial intelligence and healthcare: Forecasting of medical bookings through multi-source time-series fusion33
A distributed particle-PHD filter using arithmetic-average fusion of Gaussian mixture parameters33
Application of data fusion for automated detection of children with developmental and mental disorders: A systematic review of the last decade33
Pay attention to doctor–patient dialogues: Multi-modal knowledge graph attention image-text embedding for COVID-19 diagnosis33
Shape-Former: Bridging CNN and Transformer via ShapeConv for multimodal image matching33
On consensus reaching process based on social network analysis in uncertain linguistic group decision making: Exploring limited trust propagation and preference modification attitudes33
Multi-view spectral clustering via constrained nonnegative embedding33
Seeking commonness and inconsistencies: A jointly smoothed approach to multi-view subspace clustering32
Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation32
Optimizing consistency and consensus improvement process for hesitant fuzzy linguistic preference relations and the application in group decision making32
Medical image segmentation using deep semantic-based methods: A review of techniques, applications and emerging trends32
A dynamic ensemble outlier detection model based on an adaptive k-nearest neighbor rule32
Phonetic-enriched text representation for Chinese sentiment analysis with reinforcement learning32
A theoretical and practical survey of image fusion methods for multispectral pansharpening32
A review of state-of-the-art in Face Presentation Attack Detection: From early development to advanced deep learning and multi-modal fusion methods31
Fairness concern: An equilibrium mechanism for consensus-reaching game in group decision-making31
Multi-granular linguistic distribution evidential reasoning method for renewable energy project risk assessment31
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
Hyperspectral band selection via region-aware latent features fusion based clustering30
Multi-modal bioelectrical signal fusion analysis based on different acquisition devices and scene settings: Overview, challenges, and novel orientation30
SeDID: An SGX-enabled decentralized intrusion detection framework for network trust evaluation30
Prospect theory-based group decision-making with stochastic uncertainty and 2-tuple aspirations under linguistic assessments30
LPPTE: A lightweight privacy-preserving trust evaluation scheme for facilitating distributed data fusion in cooperative vehicular safety applications30
Feature distillation network for aspect-based sentiment analysis29
Linear uncertain extensions of the minimum cost consensus model based on uncertain distance and consensus utility29
PoNet: A universal physical optimization-based spectral super-resolution network for arbitrary multispectral images29
Optimal group selection model for large-scale group decision making29
A multimodal-Siamese Neural Network (mSNN) for person verification using signatures and EEG29
DMRFNet: Deep Multimodal Reasoning and Fusion for Visual Question Answering and explanation generation28
DEAR-MULSEMEDIA: Dataset for emotion analysis and recognition in response to multiple sensorial media28
Diagnosis of brain diseases in fusion of neuroimaging modalities using deep learning: A review28
Fusion of engineering insights and emerging trends: Intelligent urban traffic management system28
Deep unsupervised learning based on color un-referenced loss functions for multi-exposure image fusion28
Sensor fusion algorithms for orientation tracking via magnetic and inertial measurement units: An experimental comparison survey28
A review of Hidden Markov models and Recurrent Neural Networks for event detection and localization in biomedical signals28
A three-way consensus model with regret theory under the framework of probabilistic linguistic term sets28
Sugeno integral generalization applied to improve adaptive image binarization28
Aspect-level sentiment analysis: A survey of graph convolutional network methods27
A review of deep learning techniques for speech processing27
Epilepsy detection in 121 patient populations using hypercube pattern from EEG signals27
AT-GAN: A generative adversarial network with attention and transition for infrared and visible image fusion27
Multi-sensor integrated navigation/positioning systems using data fusion: From analytics-based to learning-based approaches27
0.049094915390015