Knowledge-Based Systems

Papers
(The median citation count of Knowledge-Based Systems is 6. 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 2021-09-01 to 2025-09-01.)
ArticleCitations
Editorial Board815
Editorial Board639
Editorial Board620
Editorial Board548
Editorial Board458
Editorial Board392
Automatically resolving conflicts between expert systems: An experimental approach using large language models and fuzzy cognitive maps from participatory modeling studies367
UMAP-SMOTENC: A simple, efficient, and consistent alternative for privacy-aware synthetic data generation286
Real noise image adjustment networks for saliency-aware stylistic color retouch271
Time expression as update operations: Normalizing time expressions via a distantly supervised neural semantic parser247
Concept drift detection based on decision distribution in inconsistent information system225
Personas-based Student Grouping using reinforcement learning and linear programming223
Capturing latent evolution in dynamic graph: A dual-view architecture from spectral perspective204
Prompting large language models with knowledge graphs for question answering involving long-tail facts201
SFUDNet: Underwater object detection via spatial-frequency domain modulation with mixture of experts197
FKPIndexNet: An efficient learning framework for finger-knuckle-print database indexing to boost identification189
Transferring model structure in Bayesian transfer learning for Gaussian process regression187
Mutual information-driven self-supervised point cloud pre-training175
Can question-texts improve the recognition of handwritten mathematical expressions in respondents’ solutions?172
DMAdam: Dual averaging enhanced adaptive gradient method for deep neural networks157
Graph-Driven deep Multi-View Clustering with self-paced learning154
Why-not questions about spatial temporal top-k trajectory similarity search153
GEAR: Learning graph neural network explainer via adjusting gradients151
A decomposition-based multi-objective immune algorithm for feature selection in learning to rank151
Multi-task ordinal regression with task weight discovery151
Bi-Interfusion: A bidirectional cross-fusion framework with semantic-guided transformers in LiDAR-camera fusion148
TBicomR: Event Prediction in Temporal Knowledge Graphs with Bicomplex Rotation147
A Software Reference Architecture for Journalistic Knowledge Platforms139
Multi-source partial domain adaptation with Gaussian-based dual-level weighting for PPG-based heart rate estimation139
Improving probability selection based weights for satisfiability problems139
Partial multi-label learning via three-way decision-based tri-training138
Guest Editorial: Explainable artificial intelligence for sentiment analysis132
Towards improving decision tree induction by combining split evaluation measures128
Constrained multiobjective differential evolution algorithm with infeasible-proportion control mechanism126
Pseudo-label enhancement for weakly supervised object detection using self-supervised vision transformer126
TabSAL: Synthesizing Tabular data with Small agent Assisted Language models125
A lightweight intrusion detection algorithm for IoT based on data purification and a separable convolution improved CNN124
Relation-aware multiplex heterogeneous graph neural network123
Pyramidal temporal frame prediction for efficient anomalous event detection in smart surveillance systems122
Experiencer-Driven and Knowledge-Aware Graph Model for emotion–cause pair extraction121
Tensor self-representation network for subspace clustering via alternating direction method of multipliers115
Data-driven approach for selection of on-chain vs off-chain carbon credits data storage methods115
HAFE: A Hierarchical Awareness and Feature Enhancement Network for Scene Text Recognition112
Automatic channel pruning by neural network based on improved poplar optimisation algorithm112
Deep semi-supervised learning with contrastive learning and partial label propagation for image data109
Graph contrastive learning via coarsening: A time and memory efficient approach107
A holistic view on positive and negative implicit feedback for micro-video recommendation106
A geometry-aware generative model for face morphing attacks106
Trigger is Non-central: Jointly event extraction via label-aware representations with multi-task learning105
Visual object tracking via non-local correlation attention learning104
Alpha entropy search for new information-based Bayesian optimization104
Aligning large language models with human preferences using historical text edits103
Cross-modal consistency types in multimodal social data101
Event extraction as machine reading comprehension with question-context bridging101
Optimal subsampling for high-dimensional ridge regression101
Privacy preservation in deep reinforcement learning: A training perspective100
DPNet: A dual prototype few-shot semantic segmentation network for crack detection100
GL-GNN: Graph learning via the network of graphs98
Bidirectional domain transfer knowledge distillation for catastrophic forgetting in federated learning with heterogeneous data97
Faithful Counterfactual Visual Explanations (FCVE)95
Dual constraints and adversarial learning for fair recommenders92
Deep learning-based imputation framework for bridge health monitoring using generative adversarial networks91
Unified finite-volume physics informed neural networks to solve the heterogeneous partial differential equations91
A Span-based Multi-Modal Attention Network for joint entity-relation extraction90
Document-level relation extraction with three channels90
Knowledge distillation via instance-level sequence learning89
LC3Net: Ladder 89
ATPL: Mutually enhanced adversarial training and pseudo labeling for unsupervised domain adaptation88
A prior-guided deep network for real image denoising and its applications88
An innovative approach for obstacle avoidance and path planning of mobile robot using adaptive deep reinforcement learning for indoor environment87
Robust deadline-aware network function parallelization framework under demand uncertainty87
Multicriteria semi-supervised hyperspectral band selection based on evolutionary multitask optimization87
DACMF-DTI: Dual attention embedded cross-modality fusion for drug-target interaction prediction87
Parallel multi-objective evolutionary optimization based dynamic community detection in software ecosystem86
F386
Federated feature reconstruction with collaborative star networks84
Topic-level knowledge sub-graphs for multi-turn dialogue generation83
A classification method based on dominance neighborhood granularity83
Edge-guided oceanic scene element detection83
SW: A weighted space division framework for imbalanced problems with label noise82
HDNet: Human-like discrimination with visual key for few-shot cross-domain object detection82
Multi-dimension rotations based on quaternion system for modeling various patterns in temporal knowledge graphs81
Towards Unsupervised Referring Expression Comprehension with Visual Semantic Parsing81
The mechanism of orientation detection based on color-orientation jointly selective cells81
Bidirectional alignment text-embeddings with decoupled contrastive for sequential recommendation80
Many-task evolutionary algorithm with adaptive knowledge transfer via density-based clustering80
Cross-platform privacy-preserving CT image COVID-19 diagnosis based on source-free domain adaptation80
A robust and adaptive kernelised correlation filter with fuzzy-enhanced template matching and motion-aware target candidate prediction80
Correlation filters with adaptive convolution response fusion for object tracking80
Disentangled Relational Graph Neural Network with Contrastive Learning for knowledge graph completion79
Partial visual-semantic embedding: Fine-grained outfit image representation with massive volumes of tags via angular-based contrastive learning79
Collaborative association networks with cross-level attention for session-based recommendation79
Sparse online maximum entropy inverse reinforcement learning via proximal optimization and truncated gradient78
Dual-stream and dual-branch generative adversarial network for image forgery localization77
Multi-fidelity global optimization using a data-mining strategy for computationally intensive black-box problems77
Dealing with uncertainty: Balancing exploration and exploitation in deep recurrent reinforcement learning77
Automatic update strategy for real-time discovery of hidden customer intents in chatbot systems77
Few-shot online anomaly detection and segmentation77
Hill Climb Modular Assembler Encoding: Evolving Modular Neural Networks of fixed modular architecture76
Multi-strategy co-evolutionary differential evolution for mixed-variable optimization76
PPDistiller: Weakly-supervised 3D point cloud semantic segmentation framework via point-to-pixel distillation76
Discriminative fuzzy K-means clustering with local structure preserv76
Malicious software spread modeling and control in cyber–physical systems76
Regularized Hypothesis-Induced Wasserstein Divergence for unsupervised domain adaptation76
Mask-guided generative adversarial network for MRI-based CT synthesis76
Exploration meets exploitation: Multitask learning for emotion recognition based on discrete and dimensional models75
Long-term traffic speed prediction utilizing data augmentation via segmented time frame clustering75
Evolving subgraph matching on temporal graphs75
Industrial time series determinative anomaly detection based on constraint hypergraph74
Multi-source partial domain adaptation method based on pseudo-balanced target domain for fault diagnosis73
Bidirectional interaction of CNN and Transformer for image inpainting73
Genetic-GNN: Evolutionary architecture search for Graph Neural Networks73
Multiple sparse graphs condensation73
Knowledge-aware document summarization: A survey of knowledge, embedding methods and architectures72
What do they “meme”? A metaphor-aware multi-modal multi-task framework for fine-grained meme understanding72
Multi-Dimensional Manifolds Consistency Regularization for semi-supervised remote sensing semantic segmentation72
Integrating external knowledge into aspect-based sentiment analysis using graph neural network72
Knowledge graph embedding by relational and entity rotation71
A novel pedal musculoskeletal response based on differential spatio-temporal LSTM for human activity recognition71
Multi-modal Robustness Fake News Detection with Cross-Modal and Propagation Network Contrastive Learning71
Binary Banyan tree growth optimization: A practical approach to high-dimensional feature selection70
Exploiting spatio-temporal representation for 3D human action recognition from depth map sequences70
A new ELECTRE-based method for group decision-making with complex spherical fuzzy information69
Enhancing spatiotemporal prediction through the integration of Mamba state space models and Diffusion Transformers69
Node classification oriented Adaptive Multichannel Heterogeneous Graph Neural Network69
HeDAN: Heterogeneous diffusion attention network for popularity prediction of online content69
Real-time steganalysis for streaming media based on multi-channel convolutional sliding windows69
Deep learning methods for multi-horizon long-term forecasting of Harmful Algal Blooms68
DistVAE: Distributed Variational Autoencoder for sequential recommendation68
Manifold-based aggregation clustering for unsupervised vehicle re-identification68
GCDB-UNet: A novel robust cloud detection approach for remote sensing images67
FL-Net: A multi-scale cross-decomposition network with frequency external attention for long-term time series forecasting67
An enhanced whale optimization algorithm for large scale optimization problems67
Modeling syphilis progression and disability risk with neural networks67
Effective truth discovery under local differential privacy by leveraging noise-aware probabilistic estimation and fusion67
MLN-net: A multi-source medical image segmentation method for clustered microcalcifications using multiple layer normalization67
Exploring better target for shadow detection66
Prediction of wind turbine blade icing fault based on selective deep ensemble model66
Incomprehensible but Intelligible-in-time logics: Theory and optimization algorithm66
Semi-supervised NPC segmentation with uncertainty and attention guided consistency66
Contrastive learning for fair graph representations via counterfactual graph augmentation65
MC-LCR: Multimodal contrastive classification by locally correlated representations for effective face forgery detection65
Long kernel distillation in human activity recognition65
Learning with Hilbert–Schmidt independence criterion: A review and new perspectives65
Optimizing energy-efficient cluster head selection in wireless sensor networks using a binarized spiking neural network and honey badger algorithm65
Ambient air pollutants concentration prediction during the COVID-19: A method based on transfer learning65
roadscene2vec: A tool for extracting and embedding road scene-graphs65
A novel robust support vector machine classifier with feature mapping64
A review of graph-based multi-agent pathfinding solvers: From classical to beyond classical64
Boosting chameleon swarm algorithm with consumption AEO operator for global optimization and feature selection64
Chart GCN: Learning chart information with a graph convolutional network for stock movement prediction64
Combining user behavioural information at the feature level to enhance continuous authentication systems64
An efficient state-aware Coarse-Fine-Grained model for Knowledge Tracing64
CrossGCL: Cross-pairwise graph contrastive learning for unbiased recommendation64
Domain Adversarial Neural Network with Reliable Pseudo-labels Iteration for cross-subject EEG emotion recognition64
Fuzzy correlation entropy-based NSGA-II for energy-efficient hybrid flow-shop scheduling problem63
Statistics-based approach for large-scale group decision-making under incomplete Pythagorean fuzzy information with risk attitude63
Binary Golden Eagle Optimizer with Time-Varying Flight Length for feature selection63
An improvement to the interval type-2 fuzzy VIKOR method63
A deep learning based framework for diagnosis of mild cognitive impairment62
SGCN: A scalable graph convolutional network with graph-shaped kernels and multi-channels62
Neural network algorithm with transfer learning and dropout for using a UAV to search the lost target in motion62
A complementary ratio based clause selection method for contradiction separation dynamic deduction61
Towards safe and robust weakly-supervised anomaly detection under subpopulation shift61
Research on the attribute reduction method based on the best approximation set61
AMS: A hyperspectral image classification method based on SVM and multi-modal attention network61
Causality-based counterfactual explanation for classification models61
Learning node representation via Motif Coarsening61
Score distillation for anomaly detection61
Editorial Board61
CaMo: Capturing the modularity by end-to-end models for Symbolic Regression61
BEAUT: An Explaina le Deep L arning Model for gent-Based Pop lations With Poor Da a61
DouFu: A Double Fusion Joint Learning Method for Driving Trajectory Representation61
Boolean matrix factorization with background knowledge61
Disentangled hyperbolic representation learning for heterogeneous graphs60
Expression of Concern: “Fusing multi-source quality statistical data for construction risk assessment and warning based on deep learning” [Knowledge-Based Systems, Volume 284, 25 January 2024, 111223]60
Label completion based concept factorization for incomplete multi-view clustering60
Bridge to better understanding: Syntax extension with virtual linking-phrase for natural language inference60
Adaptive graph transformer with future interaction modeling for multi-agent trajectory prediction60
Accelerated opposition learning based chaotic single candidate optimization algorithm: A new alternative to population-based heuristics59
@LM DeceptionNet: A multimodal approach for efficient transfer learning-based deception detection59
A survey on temporal knowledge graph embedding: Models and applications59
A fully decentralized distributed learning algorithm for latency communication networks59
DSNet: Predicting drug-side effect frequencies via Dual-Graph Ensemble and Similarity Learning59
MF2POSE: Multi-task Feature Fusion Pseudo-Siamese Network for intrusion detection using Category-distance Promotion Loss59
A feature reuse framework with texture-adaptive aggregation for reference-based super-resolution59
Hierarchical progressive network for polarized image fusion based on significant polarization information59
Development of heuristic adapted serial-based deep learning for efficient adversarial malware detection framework in windows59
A joint training network for learning more distinguishable relation features in relation classification59
Ensemble-based feature selection and optimization-driven deep learning for attack detection in cloud computing58
Deep learning-based surrogate modeling via physics-informed artificial image (PiAI) for strongly coupled multidisciplinary engineering systems58
Diagnostic spatio-temporal transformer with faithful encoding58
HADA: An automated tool for hardware dimensioning of AI applications58
Scenario-based self-learning transfer framework for multi-task optimization problems58
Unsupervised feature selection with high-order similarity learning58
Improving RGB-D salient object detection by addressing inconsistent saliency problems57
The mitigation of heterogeneity in temporal scale among different cortical regions for EEG emotion recognition57
Diverse local facial behaviors learning from enhanced expression flow for microexpression recognition57
Dual-decoding branch contrastive augmentation for image manipulation localization57
Dynamics simulation-based deep residual neural networks to detect flexible shafting faults57
Learning an enhanced consensus representation for multi-view clustering via latent representation correlation preserving57
Natural Language Processing for systems engineering: Automatic generation of Systems Modelling Language diagrams56
Aspect-level sentiment classification based on attention-BiLSTM model and transfer learning56
Markov clustering ensemble56
Using dynamic knowledge graphs to detect emerging communities of knowledge56
Enhancing task incremental continual learning: integrating prompt-based feature selection with pre-trained vision-language model56
Marshall–Olkin power-law distributions in length-frequency of entities56
CANet: Comprehensive Attention Network for video-based action recognition56
Multi-view multi-behavior interest learning network and contrastive learning for multi-behavior recommendation56
Privacy-enhanced generative adversarial network with adaptive noise allocation56
Competitive influence maximization considering inactive nodes and community homophily55
Document-level relation extraction using evidence reasoning on RST-GRAPH55
Prostate Cancer Forecasting in Small Samples Based on Lightweight Neural Networks Using Ensemble Learning54
GraphRR: A multiplex Graph based Reciprocal friend Recommender system with applications on online gaming service54
Information Bottleneck-Guided KNN Contrastive Hashing for Unsupervised Cross-Modal Retrieval54
Towards consistency of rule-based explainer and black box model — Fusion of rule induction and XAI-based feature importance54
BGCL: Bi-subgraph network based on graph contrastive learning for cold-start QoS prediction54
CBRec: A causal way balancing multidimensional attraction effect in POI recommendations54
KAiPP: An interaction recommendation approach for knowledge aided intelligent process planning with reinforcement learning54
Dynamic knowledge graph reasoning based on deep reinforcement learning54
Adaptive crossover operator based multi-objective binary genetic algorithm for feature selection in classification53
EpNet: Power lines foreign object detection with Edge Proposal Network and data composition53
MCT-Net: Multi-hierarchical cross transformer for hyperspectral and multispectral image fusion53
LGDAAN-Nets: A local and global domain adversarial attention neural networks for EEG emotion recognition53
Kernel Risk-Sensitive Loss based Hyper-graph Regularized Robust Extreme Learning Machine and Its Semi-supervised Extension for Classification52
Data augmentation for sentiment classification with semantic preservation and diversity52
Mixture of calibrated networks for domain generalization in brain tumor segmentation52
Machine Learning and Genetic Algorithms: A case study on image reconstruction52
Multiscale common-private feature adversarial decoupling network for hyperspectral pansharpening52
Cognitive-based adaptive scenarios in educational games using fuzzy reasoning52
Fast neighborhood reconstruction with adaptive weights learning51
Validating functional redundancy with mixed generative adversarial networks51
Malsite-Deep: Prediction of protein malonylation sites through deep learning and multi-information fusion based on NearMiss-2 strategy51
Modeling the generative mechanism of personalized preferences from latent groups: A hierarchical nonparametric Bayesian method51
TCLNet: Turn-level contrastive learning network with reranking for dialogue state tracking51
A graph based preordonnances theoretic supervised feature selection in high dimensional data51
SE-BLS: A Shapley-Value-Based Ensemble Broad Learning System with collaboration-based feature selection and CAM visualization51
Test-driving information theory-based compositional distributional semantics: A case study on Spanish song lyrics51
Statistical Drift Detection Ensemble for batch processing of data streams50
Enhancing bug localization with bug report decomposition and code hierarchical network50
Robust collaborative clustering approach with adaptive local structure learning50
A novel smart street intervention mechanism using clustering-based path optimization for street networks50
Multi-knowledge enhanced graph convolution for learning resource recommendation50
Multi-view learning methods with the LINEX loss for pattern classification50
A knowledge-based automated driving approach for flexible production of individualized sheet metal parts49
A lightweight weakly supervised learning segmentation algorithm for imbalanced image based on rotation density peaks49
Image classification based on enhanced learning of global and local features with structural priors49
A novel temporal recommendation method based on user query topic evolution49
Which cascade is more decisive in rumor detection on social media: Based on comparison between repost and reply sequences49
A bivariate Bayesian method for interval-valued regression models49
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