Knowledge-Based Systems

Article	Citations
AutoML: A survey of the state-of-the-art	647
A survey on federated learning	434
Snake Optimizer: A novel meta-heuristic optimization algorithm	335
A comprehensive survey on sentiment analysis: Approaches, challenges and trends	324
Political Optimizer: A novel socio-inspired meta-heuristic for global optimization	312
Improved Binary Grey Wolf Optimizer and Its application for feature selection	240
Aspect-based sentiment analysis via affective knowledge enhanced graph convolutional networks	225
Orthogonal learning covariance matrix for defects of grey wolf optimizer: Insights, balance, diversity, and feature selection	221
Intelligent fault diagnosis of rolling bearings based on normalized CNN considering data imbalance and variable working conditions	220
A review of deep learning with special emphasis on architectures, applications and recent trends	218
White Shark Optimizer: A novel bio-inspired meta-heuristic algorithm for global optimization problems	217
Chaotic random spare ant colony optimization for multi-threshold image segmentation of 2D Kapur entropy	195
Horse herd optimization algorithm: A nature-inspired algorithm for high-dimensional optimization problems	195
A stochastic configuration network based on chaotic sparrow search algorithm	193
Consensus reaching for social network group decision making by considering leadership and bounded confidence	183
Ensemble transfer CNNs driven by multi-channel signals for fault diagnosis of rotating machinery cross working conditions	175
Intelligent fault diagnosis of rotating machinery based on continuous wavelet transform-local binary convolutional neural network	172
Beluga whale optimization: A novel nature-inspired metaheuristic algorithm	167
Evolutionary biogeography-based whale optimization methods with communication structure: Towards measuring the balance	164
BEPO: A novel binary emperor penguin optimizer for automatic feature selection	162
Federated learning for machinery fault diagnosis with dynamic validation and self-supervision	159
ASRNN: A recurrent neural network with an attention model for sequence labeling	156
A new COVID-19 Patients Detection Strategy (CPDS) based on hybrid feature selection and enhanced KNN classifier	154
Image classification with deep learning in the presence of noisy labels: A survey	153
Group decision-making based on complex spherical fuzzy VIKOR approach	152

Quantum differential evolution with cooperative coevolution framework and hybrid mutation strategy for large scale optimization	152
Double adaptive weights for stabilization of moth flame optimizer: Balance analysis, engineering cases, and medical diagnosis	145
A novel hybrid grey wolf optimizer algorithm for unmanned aerial vehicle (UAV) path planning	143
LR-SMOTE — An improved unbalanced data set oversampling based on K-means and SVM	143
Evolution of Image Segmentation using Deep Convolutional Neural Network: A Survey	142
Application of variational mode decomposition and chaotic grey wolf optimizer with support vector regression for forecasting electric loads	140
EEG-based emotion recognition using an end-to-end regional-asymmetric convolutional neural network	136
Explainability in deep reinforcement learning	133
Coati Optimization Algorithm: A new bio-inspired metaheuristic algorithm for solving optimization problems	132
Deep learning in ECG diagnosis: A review	131
An improved Dragonfly Algorithm for feature selection	131
A federated learning system with enhanced feature extraction for human activity recognition	129
An effective approach for the protection of user commodity viewing privacy in e-commerce website	127
Bi-CLKT: Bi-Graph Contrastive Learning based Knowledge Tracing	125
A dummy-based user privacy protection approach for text information retrieval	123
A learning path recommendation model based on a multidimensional knowledge graph framework for e-learning	119
SK-GCN: Modeling Syntax and Knowledge via Graph Convolutional Network for aspect-level sentiment classification	119
Improving streamflow prediction using a new hybrid ELM model combined with hybrid particle swarm optimization and grey wolf optimization	117
On the class overlap problem in imbalanced data classification	116
Dispersed foraging slime mould algorithm: Continuous and binary variants for global optimization and wrapper-based feature selection	115
A constrained differential evolution algorithm to solve UAV path planning in disaster scenarios	115
A review of multimodal human activity recognition with special emphasis on classification, applications, challenges and future directions	113
Object Detection Binary Classifiers methodology based on deep learning to identify small objects handled similarly: Application in video surveillance	112
Modeling sentiment dependencies with graph convolutional networks for aspect-level sentiment classification	112
Joint distribution adaptation network with adversarial learning for rolling bearing fault diagnosis	111
A deep learning based image enhancement approach for autonomous driving at night	111
A Unified Form of Fuzzy C-Means and K-Means algorithms and its Partitional Implementation	111
A Hyper Learning Binary Dragonfly Algorithm for Feature Selection: A COVID-19 Case Study	109
Identification of Drug–Target Interactions via Dual Laplacian Regularized Least Squares with Multiple Kernel Fusion	106
Dimension decided Harris hawks optimization with Gaussian mutation: Balance analysis and diversity patterns	103
Lightweight image super-resolution with enhanced CNN	100
A novel fusion-based deep learning model for sentiment analysis of COVID-19 tweets	100
Multiscale cascading deep belief network for fault identification of rotating machinery under various working conditions	96
Rolling bearing fault diagnosis using optimal ensemble deep transfer network	96
An improved opposition-based marine predators algorithm for global optimization and multilevel thresholding image segmentation	95
Modeling and multi-neighborhood iterated greedy algorithm for distributed hybrid flow shop scheduling problem	95
Review on self-supervised image recognition using deep neural networks	93
Data alignments in machinery remaining useful life prediction using deep adversarial neural networks	91
FSS-2019-nCov: A deep learning architecture for semi-supervised few-shot segmentation of COVID-19 infection	89
A deep neural network based multi-task learning approach to hate speech detection	89
Knowledge-enabled BERT for aspect-based sentiment analysis	89
An enhanced black widow optimization algorithm for feature selection	89
Deep attributed network representation learning of complex coupling and interaction	89
K-Means-based isolation forest	88
Boosted kernel search: Framework, analysis and case studies on the economic emission dispatch problem	88
Meta-learning as a promising approach for few-shot cross-domain fault diagnosis: Algorithms, applications, and prospects	87
Learning-based elephant herding optimization algorithm for solving numerical optimization problems	87
Opposition-based learning grey wolf optimizer for global optimization	86
MFS-MCDM: Multi-label feature selection using multi-criteria decision making	84
Designing and training of a dual CNN for image denoising	84

SSC: A hybrid nature-inspired meta-heuristic optimization algorithm for engineering applications	83
Double-level adversarial domain adaptation network for intelligent fault diagnosis	83
Artificial Neural Network (ANN) - Bayesian Probability Framework (BPF) based method of dynamic force reconstruction under multi-source uncertainties	83
A novel intrusion detection system based on an optimal hybrid kernel extreme learning machine	82
A cooperative coevolution algorithm for multi-objective fuzzy distributed hybrid flow shop	82
Adaptive crossover operator based multi-objective binary genetic algorithm for feature selection in classification	81
A novel method for sentiment classification of drug reviews using fusion of deep and machine learning techniques	79
Dense connection and depthwise separable convolution based CNN for polarimetric SAR image classification	79
An enhanced whale optimization algorithm for large scale optimization problems	79
Dynamic Levy Flight Chimp Optimization	78
Unified Deep Learning approach for Efficient Intrusion Detection System using Integrated Spatial–Temporal Features	78
A new crude oil price forecasting model based on variational mode decomposition	78
A personalized diagnosis method to detect faults in gears using numerical simulation and extreme learning machine	77
Knowledge extraction and insertion to deep belief network for gearbox fault diagnosis	77
ConvUNeXt: An efficient convolution neural network for medical image segmentation	75
An improved emperor penguin optimization based multilevel thresholding for color image segmentation	74
A new secondary decomposition ensemble learning approach for carbon price forecasting	74
Multi-domain modeling of atrial fibrillation detection with twin attentional convolutional long short-term memory neural networks	73
Identifying critical nodes in complex networks via graph convolutional networks	73
Explainable AI (XAI): A systematic meta-survey of current challenges and future opportunities	73
Systematic ensemble model selection approach for educational data mining	73
Siamese attentional keypoint network for high performance visual tracking	72
A deep learning based algorithm for multi-criteria recommender systems	72
Designing ECG monitoring healthcare system with federated transfer learning and explainable AI	72
A novel deep metric learning model for imbalanced fault diagnosis and toward open-set classification	71
Multi-view clustering by non-negative matrix factorization with co-orthogonal constraints	71
Finding influential nodes in social networks based on neighborhood correlation coefficient	70
GMM: A generalized mechanics model for identifying the importance of nodes in complex networks	69
Gene selection for microarray data classification based on Gray Wolf Optimizer enhanced with TRIZ-inspired operators	69
A VMD-EWT-LSTM-based multi-step prediction approach for shield tunneling machine cutterhead torque	69
Automated accurate speech emotion recognition system using twine shuffle pattern and iterative neighborhood component analysis techniques	69
A game-based deep reinforcement learning approach for energy-efficient computation in MEC systems	69
The autonomous navigation and obstacle avoidance for USVs with ANOA deep reinforcement learning method	69
Biogeography-based learning particle swarm optimization for combined heat and power economic dispatch problem	69
Fast forest fire smoke detection using MVMNet	68
A prospect theory-based three-way decision model	67
Flood risk assessment using deep learning integrated with multi-criteria decision analysis	67
Deep learning based multimodal emotion recognition using model-level fusion of audio–visual modalities	66
Combined Cleaning and Resampling algorithm for multi-class imbalanced data with label noise	66
One-class support vector classifiers: A survey	66
TSASNet: Tooth segmentation on dental panoramic X-ray images by Two-Stage Attention Segmentation Network	66
Particle swarm optimization with adaptive learning strategy	65
SACPC: A framework based on probabilistic linguistic terms for short text sentiment analysis	65
Robust hybrid deep learning models for Alzheimer’s progression detection	65
An improved gravity model to identify influential nodes in complex networks based on k-shell method	65
Consensus convergence in large-group social network environment: Coordination between trust relationship and opinion similarity	65
Fick’s Law Algorithm: A physical law-based algorithm for numerical optimization	65
A deep reinforcement learning based long-term recommender system	64
Interpretable machine learning with an ensemble of gradient boosting machines	64
Joint imbalanced classification and feature selection for hospital readmissions	64
MOGBO: A new Multiobjective Gradient-Based Optimizer for real-world structural optimization problems	64
Hybrid algorithms based on combining reinforcement learning and metaheuristic methods to solve global optimization problems	64
Fractional-order calculus-based flower pollination algorithm with local search for global optimization and image segmentation	64
A consensus model for hesitant fuzzy linguistic group decision-making in the framework of Dempster–Shafer evidence theory	64
A deep transfer maximum classifier discrepancy method for rolling bearing fault diagnosis under few labeled data	63
Multi-objective scheduling of IoT-enabled smart homes for energy management based on Arithmetic Optimization Algorithm: A Node-RED and NodeMCU module-based technique	63
Comprehensive minimum cost models for large scale group decision making with consistent fuzzy preference relations	63
HAGERec: Hierarchical Attention Graph Convolutional Network Incorporating Knowledge Graph for Explainable Recommendation	62
STGSN — A Spatial–Temporal Graph Neural Network framework for time-evolving social networks	62
A multi-source information transfer learning method with subdomain adaptation for cross-domain fault diagnosis	62
Deep reinforcement learning for transportation network combinatorial optimization: A survey	61
Deep regularized variational autoencoder for intelligent fault diagnosis of rotor–bearing system within entire life-cycle process	61
CNN-based image recognition for topology optimization	61
A novel approach to attribute reduction based on weighted neighborhood rough sets	61
From concept drift to model degradation: An overview on performance-aware drift detectors	61
Robust visual tracking with correlation filters and metric learning	60
Renewable quantile regression for streaming datasets	60
Nearest cluster-based intrusion detection through convolutional neural networks	60
Estimation of missing values in heterogeneous traffic data: Application of multimodal deep learning model	59
A new selection operator for differential evolution algorithm	59
An improved Jaya algorithm for solving the flexible job shop scheduling problem with transportation and setup times	59
Fuzzy logic applied to opinion mining: A review	59
A three-way density peak clustering method based on evidence theory	59
A novel Whale Optimization Algorithm integrated with Nelder–Mead simplex for multi-objective optimization problems	59
Representation iterative fusion based on heterogeneous graph neural network for joint entity and relation extraction	59
Multi-modal advanced deep learning architectures for breast cancer survival prediction	58
A novel multi population based particle swarm optimization for feature selection	58
Joint image fusion and denoising via three-layer decomposition and sparse representation	58
A new locally adaptivek-nearest neighbor algorithm based on discri	58
Technical analysis strategy optimization using a machine learning approach in stock market indices	57

Ensemble feature selection in high dimension, low sample size datasets: Parallel and serial combination approaches	57
Emergency logistics network design based on space–time resource configuration	57
Quantum-inspired ant lion optimized hybrid k-means for cluster analysis and intrusion detection	57
Deep density-based image clustering	57
TClustVID: A novel machine learning classification model to investigate topics and sentiment in COVID-19 tweets	57
Unified medical image segmentation by learning from uncertainty in an end-to-end manner	56
Deep Transfer Convolutional Neural Network and Extreme Learning Machine for lung nodule diagnosis on CT images	56
Visual object tracking with adaptive structural convolutional network	56
A survey on deep learning based knowledge tracing	56
Unsupervised transfer learning for anomaly detection: Application to complementary operating condition transfer	56
Single and simultaneous fault diagnosis of gearbox via a semi-supervised and high-accuracy adversarial learning framework	56
Incremental feature selection for dynamic hybrid data using neighborhood rough set	56
Nutcracker optimizer: A novel nature-inspired metaheuristic algorithm for global optimization and engineering design problems	56
A gravitational search algorithm with hierarchy and distributed framework	55
Semantics of soft sets and three-way decision with soft sets	55
A novel conditional weighting transfer Wasserstein auto-encoder for rolling bearing fault diagnosis with multi-source domains	55
MC-Net: Multiple max-pooling integration module and cross multi-scale deconvolution network	54
Similarity-based meta-learning network with adversarial domain adaptation for cross-domain fault identification	54
Transfer learning for establishment of recognition of COVID-19 on CT imaging using small-sized training datasets	54
Semi-supervised anomaly detection algorithms: A comparative summary and future research directions	53
Kepler optimization algorithm: A new metaheuristic algorithm inspired by Kepler’s laws of planetary motion	53
Phrase dependency relational graph attention network for Aspect-based Sentiment Analysis	53
Coronavirus herd immunity optimizer with greedy crossover for feature selection in medical diagnosis	53
Leveraging unstructured call log data for customer churn prediction	53
Learning target-focusing convolutional regression model for visual object tracking	53
Graph transformer network with temporal kernel attention for skeleton-based action recognition	52
A new ELECTRE-based method for group decision-making with complex spherical fuzzy information	52
Multi-class imbalanced big data classification on Spark	52
Enhanced Jaya algorithm: A simple but efficient optimization method for constrained engineering design problems	52
Diversified service recommendation with high accuracy and efficiency	52
A reinforcement learning approach for optimizing multiple traveling salesman problems over graphs	51
Multi-objective PSO based online feature selection for multi-label classification	51
Guiding data-driven design ideation by knowledge distance	51
Personalized location recommendation by fusing sentimental and spatial context	51
ST-LBAGAN: Spatio-temporal learnable bidirectional attention generative adversarial networks for missing traffic data imputation	50
A Novel Smell Agent Optimization (SAO): An extensive CEC study and engineering application	50
A novel weak fault diagnosis method for rolling bearings based on LSTM considering quasi-periodicity	49
A surrogate-assisted multi-objective particle swarm optimization of expensive constrained combinatorial optimization problems	49
Deep reinforcement learning for robust emotional classification in facial expression recognition	49
Multi-strategy serial cuckoo search algorithm for global optimization	49
Multi-population following behavior-driven fruit fly optimization: A Markov chain convergence proof and comprehensive analysis	48
Three-way conflict analysis: A unification of models based on rough sets and formal concept analysis	48
Paper recommendation based on heterogeneous network embedding	48
Dynamic evolution of multi-graph based collaborative filtering for recommendation systems	48
Randomly Attracted Rough Firefly Algorithm for histogram based fuzzy image clustering	48
Cross-domain intelligent fault classification of bearings based on tensor-aligned invariant subspace learning and two-dimensional convolutional neural networks	48
Remote sensing image captioning via Variational Autoencoder and Reinforcement Learning	48
Graph-regularized least squares regression for multi-view subspace clustering	48
HetNERec: Heterogeneous network embedding based recommendation	48
Dual Regularized Unsupervised Feature Selection Based on Matrix Factorization and Minimum Redundancy with application in gene selection	48
A novel framework for detecting social bots with deep neural networks and active learning	47
An enhanced manta ray foraging optimization algorithm for shape optimization of complex CCG-Ball curves	47
AIEOU: Automata-based improved equilibrium optimizer with U-shaped transfer function for feature selection	47
A novel hybrid feature selection method considering feature interaction in neighborhood rough set	47
Hybrid artificial neural network and cooperation search algorithm for nonlinear river flow time series forecasting in humid and semi-humid regions	47
A novel dynamic ensemble selection classifier for an imbalanced data set: An application for credit risk assessment	47
HeteroGraphRec: A heterogeneous graph-based neural networks for social recommendations	47
A robust density peaks clustering algorithm with density-sensitive similarity	46
Hessian-based semi-supervised feature selection using generalized uncorrelated constraint	46
Optimized radio-frequency identification system for different warehouse shapes	46
SurvLIME: A method for explaining machine learning survival models	46
Vital spreaders identification in complex networks with multi-local dimension	45
Ensemble deep contractive auto-encoders for intelligent fault diagnosis of machines under noisy environment	45
A context-aware diversity-oriented knowledge recommendation approach for smart engineering solution design	45
Data-driven fault diagnosis for wind turbines using modified multiscale fluctuation dispersion entropy and cosine pairwise-constrained supervised manifold mapping	45
A comprehensive active learning method for multiclass imbalanced data streams with concept drift	45
Automatic late blight lesion recognition and severity quantification based on field imagery of diverse potato genotypes by deep learning	45
Community detection in complex networks with an ambiguous structure using central node based link prediction	45
A new bearing fault diagnosis approach combining sensitive statistical features with improved multiscale permutation entropy method	44
TBSM: A traffic burst-sensitive model for short-term prediction under special events	44
Adaptive Spatio-temporal Graph Neural Network for traffic forecasting	44
A novel progressively undersampling method based on the density peaks sequence for imbalanced data	44
Novel multi-label feature selection via label symmetric uncertainty correlation learning and feature redundancy evaluation	44
RBPR: A hybrid model for the new user cold start problem in recommender systems	44
ACO Resampling: Enhancing the performance of oversampling methods for class imbalance classification	44
A parallel variable neighborhood search algorithm with quadratic programming for cardinality constrained portfolio optimization	44
A novel Domain Adaptive Residual Network for automatic Atrial Fibrillation Detection	44
Deep learning for missing value imputation of continuous data and the effect of data discretization	44
K-means clustering for the aggregation of HFLTS possibility distribu	44
Incremental learning imbalanced data streams with concept drift: The dynamic updated ensemble algorithm	43
An optimization model for rescuer assignments under an uncertain environment by using Dempster–Shafer theory	43
A new metaheuristic optimization based on K-means clustering algorithm and its application to structural damage identification	43
Double-quantitative distance measurement and classification learning based on the tri-level granular structure of neighborhood system	43
Improved CNN for the diagnosis of engine defects of 2-wheeler vehicle using wavelet synchro-squeezed transform (WSST)	43
Hybrid Heat Transfer Search and Passing Vehicle Search optimizer for multi-objective structural optimization	43
DeepCorn: A semi-supervised deep learning method for high-throughput image-based corn kernel counting and yield estimation	43
An integrated generalized TODIM model for portfolio selection based on financial performance of firms	42
Helping university students to choose elective courses by using a hybrid multi-criteria recommendation system with genetic optimization	42
Multi-objective optimization based on decomposition for flexible job shop scheduling under time-of-use electricity prices	42
A nondestructive automatic defect detection method with pixelwise segmentation	42
Robust neighborhood embedding for unsupervised feature selection	42
IntelliBot: A Dialogue-based chatbot for the insurance industry	42
An integrated deep multiscale feature fusion network for aeroengine remaining useful life prediction with multisensor data	41
Customer preferences extraction for air purifiers based on fine-grained sentiment analysis of online reviews	41
An efficient surrogate-assisted quasi-affine transformation evolutionary algorithm for expensive optimization problems	41