Knowledge-Based Systems

Article	Citations
AutoML: A survey of the state-of-the-art	783
A survey on federated learning	685
Snake Optimizer: A novel meta-heuristic optimization algorithm	528
A comprehensive survey on sentiment analysis: Approaches, challenges and trends	405
White Shark Optimizer: A novel bio-inspired meta-heuristic algorithm for global optimization problems	329
Beluga whale optimization: A novel nature-inspired metaheuristic algorithm	300
Coati Optimization Algorithm: A new bio-inspired metaheuristic algorithm for solving optimization problems	298
Aspect-based sentiment analysis via affective knowledge enhanced graph convolutional networks	274
Horse herd optimization algorithm: A nature-inspired algorithm for high-dimensional optimization problems	235
A stochastic configuration network based on chaotic sparrow search algorithm	232
Orthogonal learning covariance matrix for defects of grey wolf optimizer: Insights, balance, diversity, and feature selection	229
Chaotic random spare ant colony optimization for multi-threshold image segmentation of 2D Kapur entropy	210
Intelligent fault diagnosis of rotating machinery based on continuous wavelet transform-local binary convolutional neural network	209
Explainable AI (XAI): A systematic meta-survey of current challenges and future opportunities	202
Image classification with deep learning in the presence of noisy labels: A survey	192
Federated learning for machinery fault diagnosis with dynamic validation and self-supervision	190
Ensemble transfer CNNs driven by multi-channel signals for fault diagnosis of rotating machinery cross working conditions	187
BEPO: A novel binary emperor penguin optimizer for automatic feature selection	177
Deep learning in ECG diagnosis: A review	175
ASRNN: A recurrent neural network with an attention model for sequence labeling	172
Evolutionary biogeography-based whale optimization methods with communication structure: Towards measuring the balance	172
Explainability in deep reinforcement learning	171
Group decision-making based on complex spherical fuzzy VIKOR approach	169
Quantum differential evolution with cooperative coevolution framework and hybrid mutation strategy for large scale optimization	164
Double adaptive weights for stabilization of moth flame optimizer: Balance analysis, engineering cases, and medical diagnosis	161

Application of variational mode decomposition and chaotic grey wolf optimizer with support vector regression for forecasting electric loads	160
A federated learning system with enhanced feature extraction for human activity recognition	158
Bi-CLKT: Bi-Graph Contrastive Learning based Knowledge Tracing	155
A review of multimodal human activity recognition with special emphasis on classification, applications, challenges and future directions	153
Kepler optimization algorithm: A new metaheuristic algorithm inspired by Kepler’s laws of planetary motion	152
On the class overlap problem in imbalanced data classification	151
Dispersed foraging slime mould algorithm: Continuous and binary variants for global optimization and wrapper-based feature selection	140
Joint distribution adaptation network with adversarial learning for rolling bearing fault diagnosis	137
Improving streamflow prediction using a new hybrid ELM model combined with hybrid particle swarm optimization and grey wolf optimization	136
A deep learning based image enhancement approach for autonomous driving at night	134
An effective approach for the protection of user commodity viewing privacy in e-commerce website	130
Nutcracker optimizer: A novel nature-inspired metaheuristic algorithm for global optimization and engineering design problems	127
Meta-learning as a promising approach for few-shot cross-domain fault diagnosis: Algorithms, applications, and prospects	127
ConvUNeXt: An efficient convolution neural network for medical image segmentation	123
A Unified Form of Fuzzy C-Means and K-Means algorithms and its Partitional Implementation	123
Dimension decided Harris hawks optimization with Gaussian mutation: Balance analysis and diversity patterns	121
An enhanced black widow optimization algorithm for feature selection	120
A novel fusion-based deep learning model for sentiment analysis of COVID-19 tweets	119
A Hyper Learning Binary Dragonfly Algorithm for Feature Selection: A COVID-19 Case Study	114
Fick’s Law Algorithm: A physical law-based algorithm for numerical optimization	114
Review on self-supervised image recognition using deep neural networks	113
Knowledge-enabled BERT for aspect-based sentiment analysis	113
An improved opposition-based marine predators algorithm for global optimization and multilevel thresholding image segmentation	107
From concept drift to model degradation: An overview on performance-aware drift detectors	107
A deep neural network based multi-task learning approach to hate speech detection	106
Designing and training of a dual CNN for image denoising	105
Rolling bearing fault diagnosis using optimal ensemble deep transfer network	105
Opposition-based learning grey wolf optimizer for global optimization	103
Adaptive crossover operator based multi-objective binary genetic algorithm for feature selection in classification	101
Unified Deep Learning approach for Efficient Intrusion Detection System using Integrated Spatial–Temporal Features	100
An enhanced whale optimization algorithm for large scale optimization problems	99
Deep learning based multimodal emotion recognition using model-level fusion of audio–visual modalities	98
Dynamic Levy Flight Chimp Optimization	97
Artificial Neural Network (ANN) - Bayesian Probability Framework (BPF) based method of dynamic force reconstruction under multi-source uncertainties	96
Boosted kernel search: Framework, analysis and case studies on the economic emission dispatch problem	96
Interpretable machine learning with an ensemble of gradient boosting machines	95
Designing ECG monitoring healthcare system with federated transfer learning and explainable AI	95
SSC: A hybrid nature-inspired meta-heuristic optimization algorithm for engineering applications	94
FSS-2019-nCov: A deep learning architecture for semi-supervised few-shot segmentation of COVID-19 infection	94
A new secondary decomposition ensemble learning approach for carbon price forecasting	93
Automated accurate speech emotion recognition system using twine shuffle pattern and iterative neighborhood component analysis techniques	91
A new crude oil price forecasting model based on variational mode decomposition	91
Fast forest fire smoke detection using MVMNet	91
A deep learning based algorithm for multi-criteria recommender systems	90
Deep attributed network representation learning of complex coupling and interaction	90
A multi-source information transfer learning method with subdomain adaptation for cross-domain fault diagnosis	90
An improved gravity model to identify influential nodes in complex networks based on k-shell method	88
A novel deep metric learning model for imbalanced fault diagnosis and toward open-set classification	85
A VMD-EWT-LSTM-based multi-step prediction approach for shield tunneling machine cutterhead torque	82
A novel conditional weighting transfer Wasserstein auto-encoder for rolling bearing fault diagnosis with multi-source domains	81

Flood risk assessment using deep learning integrated with multi-criteria decision analysis	81
Robust hybrid deep learning models for Alzheimer’s progression detection	80
Gene selection for microarray data classification based on Gray Wolf Optimizer enhanced with TRIZ-inspired operators	79
Multi-objective scheduling of IoT-enabled smart homes for energy management based on Arithmetic Optimization Algorithm: A Node-RED and NodeMCU module-based technique	79
A survey on deep learning based knowledge tracing	79
Hybrid algorithms based on combining reinforcement learning and metaheuristic methods to solve global optimization problems	78
STGSN — A Spatial–Temporal Graph Neural Network framework for time-evolving social networks	78
A novel approach to attribute reduction based on weighted neighborhood rough sets	77
Deep reinforcement learning for transportation network combinatorial optimization: A survey	76
Representation iterative fusion based on heterogeneous graph neural network for joint entity and relation extraction	74
Biogeography-based learning particle swarm optimization for combined heat and power economic dispatch problem	74
A deep reinforcement learning based long-term recommender system	74
A new selection operator for differential evolution algorithm	74
Nearest cluster-based intrusion detection through convolutional neural networks	73
Deep regularized variational autoencoder for intelligent fault diagnosis of rotor–bearing system within entire life-cycle process	73
MOGBO: A new Multiobjective Gradient-Based Optimizer for real-world structural optimization problems	73
A game-based deep reinforcement learning approach for energy-efficient computation in MEC systems	72
Consensus convergence in large-group social network environment: Coordination between trust relationship and opinion similarity	72
Attention-based deep meta-transfer learning for few-shot fine-grained fault diagnosis	72
A novel multi population based particle swarm optimization for feature selection	71
Multi-modal advanced deep learning architectures for breast cancer survival prediction	71
Fuzzy logic applied to opinion mining: A review	71
A three-way density peak clustering method based on evidence theory	71
A consensus model for hesitant fuzzy linguistic group decision-making in the framework of Dempster–Shafer evidence theory	71
Joint image fusion and denoising via three-layer decomposition and sparse representation	70
Graph transformer network with temporal kernel attention for skeleton-based action recognition	70
Unsupervised transfer learning for anomaly detection: Application to complementary operating condition transfer	70
Comprehensive minimum cost models for large scale group decision making with consistent fuzzy preference relations	70
Emergency logistics network design based on space–time resource configuration	70
Anomal-E: A self-supervised network intrusion detection system based on graph neural networks	70
Enhanced Jaya algorithm: A simple but efficient optimization method for constrained engineering design problems	69
Similarity-based meta-learning network with adversarial domain adaptation for cross-domain fault identification	69
Unified medical image segmentation by learning from uncertainty in an end-to-end manner	68
Renewable quantile regression for streaming datasets	68
A novel Whale Optimization Algorithm integrated with Nelder–Mead simplex for multi-objective optimization problems	68
Semi-supervised anomaly detection algorithms: A comparative summary and future research directions	68
Phrase dependency relational graph attention network for Aspect-based Sentiment Analysis	67
Growth Optimizer: A powerful metaheuristic algorithm for solving continuous and discrete global optimization problems	67
EEG emotion recognition based on the attention mechanism and pre-trained convolution capsule network	66
TClustVID: A novel machine learning classification model to investigate topics and sentiment in COVID-19 tweets	66
Chaotic marine predators algorithm for global optimization of real-world engineering problems	66
Coronavirus herd immunity optimizer with greedy crossover for feature selection in medical diagnosis	65
Technical analysis strategy optimization using a machine learning approach in stock market indices	65
Multi-objective PSO based online feature selection for multi-label classification	64
Leveraging unstructured call log data for customer churn prediction	63
Adaptive Spatio-temporal Graph Neural Network for traffic forecasting	63
Multi-class imbalanced big data classification on Spark	62
Guiding data-driven design ideation by knowledge distance	61
Intrusion detection using multi-objective evolutionary convolutional neural network for Internet of Things in Fog computing	61
A Novel Smell Agent Optimization (SAO): An extensive CEC study and engineering application	61
A novel weak fault diagnosis method for rolling bearings based on LSTM considering quasi-periodicity	61
A comprehensive active learning method for multiclass imbalanced data streams with concept drift	60
ST-LBAGAN: Spatio-temporal learnable bidirectional attention generative adversarial networks for missing traffic data imputation	59
A gravitational search algorithm with hierarchy and distributed framework	59
A nondestructive automatic defect detection method with pixelwise segmentation	59
A new ELECTRE-based method for group decision-making with complex spherical fuzzy information	58
A new metaheuristic optimization based on K-means clustering algorithm and its application to structural damage identification	58
Deep learning for missing value imputation of continuous data and the effect of data discretization	58
MC-Net: Multiple max-pooling integration module and cross multi-scale deconvolution network	57
A multimodal hierarchical approach to speech emotion recognition from audio and text	57
An optimization model for rescuer assignments under an uncertain environment by using Dempster–Shafer theory	57
A novel framework for detecting social bots with deep neural networks and active learning	57
Dual Regularized Unsupervised Feature Selection Based on Matrix Factorization and Minimum Redundancy with application in gene selection	57
An enhanced guided LDA model augmented with BERT based semantic strength for aspect term extraction in sentiment analysis	57
HeteroGraphRec: A heterogeneous graph-based neural networks for social recommendations	57
Transfer learning for establishment of recognition of COVID-19 on CT imaging using small-sized training datasets	57
Maximum mean square discrepancy: A new discrepancy representation metric for mechanical fault transfer diagnosis	56
LSTM based decision support system for swing trading in stock market	56
LE-GAN: Unsupervised low-light image enhancement network using attention module and identity invariant loss	56
Hessian-based semi-supervised feature selection using generalized uncorrelated constraint	56
A surrogate-assisted multi-objective particle swarm optimization of expensive constrained combinatorial optimization problems	56
A novel progressively undersampling method based on the density peaks sequence for imbalanced data	56
A novel dynamic ensemble selection classifier for an imbalanced data set: An application for credit risk assessment	55
Sentiment analysis on Twitter data integrating TextBlob and deep learning models: The case of US airline industry	55
A novel hybrid feature selection method considering feature interaction in neighborhood rough set	55
Dynamic evolution of multi-graph based collaborative filtering for recommendation systems	55
Deep reinforcement learning in recommender systems: A survey and new perspectives	54
Data-driven fault diagnosis for wind turbines using modified multiscale fluctuation dispersion entropy and cosine pairwise-constrained supervised manifold mapping	53
Multi-strategy serial cuckoo search algorithm for global optimization	53
Automatic late blight lesion recognition and severity quantification based on field imagery of diverse potato genotypes by deep learning	53

An integrated deep multiscale feature fusion network for aeroengine remaining useful life prediction with multisensor data	53
An enhanced manta ray foraging optimization algorithm for shape optimization of complex CCG-Ball curves	53
Federated Neural Collaborative Filtering	53
Randomly Attracted Rough Firefly Algorithm for histogram based fuzzy image clustering	53
Transfer learning based on improved stacked autoencoder for bearing fault diagnosis	53
Global exponential stability of discrete-time almost automorphic Caputo–Fabrizio BAM fuzzy neural networks via exponential Euler technique	53
Self-adaptive resources allocation-based differential evolution for constrained evolutionary optimization	53
A context-aware diversity-oriented knowledge recommendation approach for smart engineering solution design	53
SAT-GCN: Self-attention graph convolutional network-based 3D object detection for autonomous driving	53
Multi-label feature selection based on label correlations and feature redundancy	52
LSTM-SNP: A long short-term memory model inspired from spiking neural P systems	52
RBPR: A hybrid model for the new user cold start problem in recommender systems	52
Paper recommendation based on heterogeneous network embedding	52
Business process variant analysis: Survey and classification	52
CLVIN: Complete language-vision interaction network for visual question answering	52
An integrated generalized TODIM model for portfolio selection based on financial performance of firms	51
Oriented stochastic loss descent algorithm to train very deep multi-layer neural networks without vanishing gradients	51
Optimized radio-frequency identification system for different warehouse shapes	51
Semi-supervised NPC segmentation with uncertainty and attention guided consistency	51
DTDR–ALSTM: Extracting dynamic time-delays to reconstruct multivariate data for improving attention-based LSTM industrial time series prediction models	51
TBSM: A traffic burst-sensitive model for short-term prediction under special events	51
Cross-domain intelligent fault classification of bearings based on tensor-aligned invariant subspace learning and two-dimensional convolutional neural networks	51
Open-CyKG: An Open Cyber Threat Intelligence Knowledge Graph	50
MOTEO: A novel physics-based multiobjective thermal exchange optimization algorithm to design truss structures	50
Prediction of wind turbine blade icing fault based on selective deep ensemble model	50
Diagnosis of Alzheimer’s disease via an attention-based multi-scale convolutional neural network	50
Deep multiple auto-encoder with attention mechanism network: A dynamic domain adaptation method for rotary machine fault diagnosis under different working conditions	50
An efficient surrogate-assisted quasi-affine transformation evolutionary algorithm for expensive optimization problems	50
Hybrid artificial neural network and cooperation search algorithm for nonlinear river flow time series forecasting in humid and semi-humid regions	50
Multi-relational graph attention networks for knowledge graph completion	50
A Sinh Cosh optimizer	50
Novel multi-label feature selection via label symmetric uncertainty correlation learning and feature redundancy evaluation	50
A new bearing fault diagnosis approach combining sensitive statistical features with improved multiscale permutation entropy method	50
AIEOU: Automata-based improved equilibrium optimizer with U-shaped transfer function for feature selection	49
Particle swarm optimization with an enhanced learning strategy and crossover operator	49
Hybrid firefly algorithm with grouping attraction for constrained optimization problem	49
Video sentiment analysis with bimodal information-augmented multi-head attention	49
DeepCorn: A semi-supervised deep learning method for high-throughput image-based corn kernel counting and yield estimation	48
Multiscale fused network with additive channel–spatial attention for image segmentation	48
Customer preferences extraction for air purifiers based on fine-grained sentiment analysis of online reviews	48
Megnn: Meta-path extracted graph neural network for heterogeneous graph representation learning	48
Hybrid Heat Transfer Search and Passing Vehicle Search optimizer for multi-objective structural optimization	48
A decomposition-based multi-objective genetic programming hyper-heuristic approach for the multi-skill resource constrained project scheduling problem	48
Aspect-level sentiment analysis with aspect-specific context position information	48
K-means clustering for the aggregation of HFLTS possibility distribu	48
Multi-population following behavior-driven fruit fly optimization: A Markov chain convergence proof and comprehensive analysis	48
Self-supervised signal representation learning for machinery fault diagnosis under limited annotation data	48
Ethics and privacy of artificial intelligence: Understandings from bibliometrics	48
Data-augmented wavelet capsule generative adversarial network for rolling bearing fault diagnosis	47
A stock price prediction method based on meta-learning and variational mode decomposition	47
Adaptive course recommendation in MOOCs	47
A self-adaptive weighted differential evolution approach for large-scale feature selection	47
A new robust fuzzy c-means clustering method based on adaptive elastic distance	47
Apply transfer learning to cybersecurity: Predicting exploitability of vulnerabilities by description	47
An automatic multi-objective evolutionary algorithm for the hybrid flowshop scheduling problem with consistent sublots	47
Accurate detection of sleep apnea with long short-term memory network based on RR interval signals	46
Generalized multiscale feature extraction for remaining useful life prediction of bearings with generative adversarial networks	46
Multi-view clustering via deep concept factorization	46
Spatio-attention embedded recurrent neural network for air quality prediction	46
Tucker decomposition-based temporal knowledge graph completion	46
Intelligent dual stream CNN and echo state network for anomaly detection	46
Double-quantitative distance measurement and classification learning based on the tri-level granular structure of neighborhood system	46
A gated graph convolutional network with multi-sensor signals for remaining useful life prediction	46
Boosting chameleon swarm algorithm with consumption AEO operator for global optimization and feature selection	46
Domain adaptation for regression under Beer–Lambert’s law	46
Neighborhood rough sets with distance metric learning for feature selection	46
Self-learning transferable neural network for intelligent fault diagnosis of rotating machinery with unlabeled and imbalanced data	46
Fast stochastic configuration network based on an improved sparrow search algorithm for fire flame recognition	46
Improved CNN for the diagnosis of engine defects of 2-wheeler vehicle using wavelet synchro-squeezed transform (WSST)	46
Combining deep learning and ontology reasoning for remote sensing image semantic segmentation	45
Special Relativity Search: A novel metaheuristic method based on special relativity physics	45
An integrated interval type-2 fuzzy technique for democratic–autocratic​ multi-criteria decision making	45
A machine learning-based investigation utilizing the in-text features for the identification of dominant emotion in an email	45
Attention-based aspect sentiment classification using enhanced learning through cnn-Bilstm networks	45
ARFDNet: An efficient activity recognition & fall detection system using latent feature pooling	45
A novel hybrid arithmetic optimization algorithm for solving constrained optimization problems	44
Ambiguous D-means fusion clustering algorithm based on ambiguous set theory: Special application in clustering of CT scan images of COVID-19	44
Gated attention fusion network for multimodal sentiment classification	44
Human action recognition approaches with video datasets—A survey	44
Combining contextualized word representation and sub-document level analysis through Bi-LSTM+CRF architecture for clinical de-identification	44
SMOTE-NaN-DE: Addressing the noisy and borderline examples problem in imbalanced classification by natural neighbors and differential evolution	44
DV-Net: Accurate liver vessel segmentation via dense connection model with D-BCE loss function	44
EAA-Net: A novel edge assisted attention network for single image dehazing	44
Dynamic graph convolutional recurrent imputation network for spatiotemporal traffic missing data	44
Enhanced Butterfly Optimization Algorithm with a New fuzzy Regulator Strategy and Virtual Butterfly Concept	43
A new two-layer nearest neighbor selection method for kNN classifier	43
Federated adversarial domain generalization network: A novel machinery fault diagnosis method with data privacy	43
Informative knowledge distillation for image anomaly segmentation	43
Multi-objective particle swarm optimization with multi-mode collaboration based on reinforcement learning for path planning of unmanned air vehicles	43
Pre-trained language models with domain knowledge for biomedical extractive summarization	43
An improved and random synthetic minority oversampling technique for imbalanced data	43
An explainable recommendation framework based on an improved knowledge graph attention network with massive volumes of side information	43
A hybrid Artificial Immune optimization for high-dimensional feature selection	43
An intelligent hybrid classification algorithm integrating fuzzy rule-based extraction and harmony search optimization: Medical diagnosis applications	42
Subset neighborhood rough sets	42