Knowledge-Based Systems

Article	Citations
AutoML: A survey of the state-of-the-art	667
A survey on federated learning	465
Snake Optimizer: A novel meta-heuristic optimization algorithm	383
A comprehensive survey on sentiment analysis: Approaches, challenges and trends	339
Political Optimizer: A novel socio-inspired meta-heuristic for global optimization	323
Improved Binary Grey Wolf Optimizer and Its application for feature selection	244
White Shark Optimizer: A novel bio-inspired meta-heuristic algorithm for global optimization problems	231
Aspect-based sentiment analysis via affective knowledge enhanced graph convolutional networks	231
Intelligent fault diagnosis of rolling bearings based on normalized CNN considering data imbalance and variable working conditions	227
Orthogonal learning covariance matrix for defects of grey wolf optimizer: Insights, balance, diversity, and feature selection	223
Horse herd optimization algorithm: A nature-inspired algorithm for high-dimensional optimization problems	207
A stochastic configuration network based on chaotic sparrow search algorithm	201
Chaotic random spare ant colony optimization for multi-threshold image segmentation of 2D Kapur entropy	200
Beluga whale optimization: A novel nature-inspired metaheuristic algorithm	191
Consensus reaching for social network group decision making by considering leadership and bounded confidence	185
Ensemble transfer CNNs driven by multi-channel signals for fault diagnosis of rotating machinery cross working conditions	178
Intelligent fault diagnosis of rotating machinery based on continuous wavelet transform-local binary convolutional neural network	176
Federated learning for machinery fault diagnosis with dynamic validation and self-supervision	165
Image classification with deep learning in the presence of noisy labels: A survey	165
Evolutionary biogeography-based whale optimization methods with communication structure: Towards measuring the balance	165
BEPO: A novel binary emperor penguin optimizer for automatic feature selection	163
ASRNN: A recurrent neural network with an attention model for sequence labeling	160
Coati Optimization Algorithm: A new bio-inspired metaheuristic algorithm for solving optimization problems	159
Group decision-making based on complex spherical fuzzy VIKOR approach	157
A new COVID-19 Patients Detection Strategy (CPDS) based on hybrid feature selection and enhanced KNN classifier	157

Quantum differential evolution with cooperative coevolution framework and hybrid mutation strategy for large scale optimization	152
LR-SMOTE — An improved unbalanced data set oversampling based on K-means and SVM	149
Double adaptive weights for stabilization of moth flame optimizer: Balance analysis, engineering cases, and medical diagnosis	148
Evolution of Image Segmentation using Deep Convolutional Neural Network: A Survey	145
Explainability in deep reinforcement learning	144
Application of variational mode decomposition and chaotic grey wolf optimizer with support vector regression for forecasting electric loads	142
EEG-based emotion recognition using an end-to-end regional-asymmetric convolutional neural network	139
A federated learning system with enhanced feature extraction for human activity recognition	136
Deep learning in ECG diagnosis: A review	136
An improved Dragonfly Algorithm for feature selection	132
Bi-CLKT: Bi-Graph Contrastive Learning based Knowledge Tracing	128
An effective approach for the protection of user commodity viewing privacy in e-commerce website	128
A dummy-based user privacy protection approach for text information retrieval	125
Improving streamflow prediction using a new hybrid ELM model combined with hybrid particle swarm optimization and grey wolf optimization	123
Dispersed foraging slime mould algorithm: Continuous and binary variants for global optimization and wrapper-based feature selection	123
SK-GCN: Modeling Syntax and Knowledge via Graph Convolutional Network for aspect-level sentiment classification	123
On the class overlap problem in imbalanced data classification	121
A learning path recommendation model based on a multidimensional knowledge graph framework for e-learning	120
A review of multimodal human activity recognition with special emphasis on classification, applications, challenges and future directions	120
A constrained differential evolution algorithm to solve UAV path planning in disaster scenarios	118
A deep learning based image enhancement approach for autonomous driving at night	115
Joint distribution adaptation network with adversarial learning for rolling bearing fault diagnosis	115
A Unified Form of Fuzzy C-Means and K-Means algorithms and its Partitional Implementation	113
A Hyper Learning Binary Dragonfly Algorithm for Feature Selection: A COVID-19 Case Study	112
Dimension decided Harris hawks optimization with Gaussian mutation: Balance analysis and diversity patterns	110
Identification of Drug–Target Interactions via Dual Laplacian Regularized Least Squares with Multiple Kernel Fusion	107
Lightweight image super-resolution with enhanced CNN	105
A novel fusion-based deep learning model for sentiment analysis of COVID-19 tweets	103
Review on self-supervised image recognition using deep neural networks	100
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	96
Meta-learning as a promising approach for few-shot cross-domain fault diagnosis: Algorithms, applications, and prospects	95
Explainable AI (XAI): A systematic meta-survey of current challenges and future opportunities	95
An enhanced black widow optimization algorithm for feature selection	95
Data alignments in machinery remaining useful life prediction using deep adversarial neural networks	94
Knowledge-enabled BERT for aspect-based sentiment analysis	94
Boosted kernel search: Framework, analysis and case studies on the economic emission dispatch problem	92
A deep neural network based multi-task learning approach to hate speech detection	92
K-Means-based isolation forest	90
FSS-2019-nCov: A deep learning architecture for semi-supervised few-shot segmentation of COVID-19 infection	90
Learning-based elephant herding optimization algorithm for solving numerical optimization problems	89
Designing and training of a dual CNN for image denoising	89
Deep attributed network representation learning of complex coupling and interaction	89
MFS-MCDM: Multi-label feature selection using multi-criteria decision making	88
Opposition-based learning grey wolf optimizer for global optimization	88
Adaptive crossover operator based multi-objective binary genetic algorithm for feature selection in classification	86
SSC: A hybrid nature-inspired meta-heuristic optimization algorithm for engineering applications	86
A novel intrusion detection system based on an optimal hybrid kernel extreme learning machine	86
Unified Deep Learning approach for Efficient Intrusion Detection System using Integrated Spatial–Temporal Features	85
Artificial Neural Network (ANN) - Bayesian Probability Framework (BPF) based method of dynamic force reconstruction under multi-source uncertainties	85

Double-level adversarial domain adaptation network for intelligent fault diagnosis	84
A personalized diagnosis method to detect faults in gears using numerical simulation and extreme learning machine	83
An enhanced whale optimization algorithm for large scale optimization problems	83
Dynamic Levy Flight Chimp Optimization	81
A novel method for sentiment classification of drug reviews using fusion of deep and machine learning techniques	81
A new crude oil price forecasting model based on variational mode decomposition	81
ConvUNeXt: An efficient convolution neural network for medical image segmentation	78
Knowledge extraction and insertion to deep belief network for gearbox fault diagnosis	78
A deep learning based algorithm for multi-criteria recommender systems	77
A new secondary decomposition ensemble learning approach for carbon price forecasting	77
Identifying critical nodes in complex networks via graph convolutional networks	75
Systematic ensemble model selection approach for educational data mining	75
A novel deep metric learning model for imbalanced fault diagnosis and toward open-set classification	75
Fast forest fire smoke detection using MVMNet	74
Designing ECG monitoring healthcare system with federated transfer learning and explainable AI	73
Flood risk assessment using deep learning integrated with multi-criteria decision analysis	73
One-class support vector classifiers: A survey	71
Interpretable machine learning with an ensemble of gradient boosting machines	71
Automated accurate speech emotion recognition system using twine shuffle pattern and iterative neighborhood component analysis techniques	71
Gene selection for microarray data classification based on Gray Wolf Optimizer enhanced with TRIZ-inspired operators	71
Deep learning based multimodal emotion recognition using model-level fusion of audio–visual modalities	70
A deep reinforcement learning based long-term recommender system	70
The autonomous navigation and obstacle avoidance for USVs with ANOA deep reinforcement learning method	70
Combined Cleaning and Resampling algorithm for multi-class imbalanced data with label noise	70
An improved gravity model to identify influential nodes in complex networks based on k-shell method	70
TSASNet: Tooth segmentation on dental panoramic X-ray images by Two-Stage Attention Segmentation Network	69
MOGBO: A new Multiobjective Gradient-Based Optimizer for real-world structural optimization problems	69
A VMD-EWT-LSTM-based multi-step prediction approach for shield tunneling machine cutterhead torque	69
A prospect theory-based three-way decision model	69
Biogeography-based learning particle swarm optimization for combined heat and power economic dispatch problem	69
Fick’s Law Algorithm: A physical law-based algorithm for numerical optimization	69
Nutcracker optimizer: A novel nature-inspired metaheuristic algorithm for global optimization and engineering design problems	69
A game-based deep reinforcement learning approach for energy-efficient computation in MEC systems	69
Hybrid algorithms based on combining reinforcement learning and metaheuristic methods to solve global optimization problems	68
Particle swarm optimization with adaptive learning strategy	67
A multi-source information transfer learning method with subdomain adaptation for cross-domain fault diagnosis	67
From concept drift to model degradation: An overview on performance-aware drift detectors	67
Comprehensive minimum cost models for large scale group decision making with consistent fuzzy preference relations	66
A novel approach to attribute reduction based on weighted neighborhood rough sets	66
Kepler optimization algorithm: A new metaheuristic algorithm inspired by Kepler’s laws of planetary motion	66
Fractional-order calculus-based flower pollination algorithm with local search for global optimization and image segmentation	66
Consensus convergence in large-group social network environment: Coordination between trust relationship and opinion similarity	66
CNN-based image recognition for topology optimization	65
Robust hybrid deep learning models for Alzheimer’s progression detection	65
Multi-objective scheduling of IoT-enabled smart homes for energy management based on Arithmetic Optimization Algorithm: A Node-RED and NodeMCU module-based technique	64
Deep reinforcement learning for transportation network combinatorial optimization: A survey	64
A consensus model for hesitant fuzzy linguistic group decision-making in the framework of Dempster–Shafer evidence theory	64
Joint imbalanced classification and feature selection for hospital readmissions	64
HAGERec: Hierarchical Attention Graph Convolutional Network Incorporating Knowledge Graph for Explainable Recommendation	64
Deep regularized variational autoencoder for intelligent fault diagnosis of rotor–bearing system within entire life-cycle process	64
STGSN — A Spatial–Temporal Graph Neural Network framework for time-evolving social networks	64
Fuzzy logic applied to opinion mining: A review	64
A deep transfer maximum classifier discrepancy method for rolling bearing fault diagnosis under few labeled data	63
TClustVID: A novel machine learning classification model to investigate topics and sentiment in COVID-19 tweets	62
Multi-modal advanced deep learning architectures for breast cancer survival prediction	62
Representation iterative fusion based on heterogeneous graph neural network for joint entity and relation extraction	62
Nearest cluster-based intrusion detection through convolutional neural networks	62
A new selection operator for differential evolution algorithm	62
An improved Jaya algorithm for solving the flexible job shop scheduling problem with transportation and setup times	61
Renewable quantile regression for streaming datasets	61
Unsupervised transfer learning for anomaly detection: Application to complementary operating condition transfer	61
A three-way density peak clustering method based on evidence theory	61
A survey on deep learning based knowledge tracing	61
A novel Whale Optimization Algorithm integrated with Nelder–Mead simplex for multi-objective optimization problems	61
A new locally adaptivek-nearest neighbor algorithm based on discri	60
Ensemble feature selection in high dimension, low sample size datasets: Parallel and serial combination approaches	60
Robust visual tracking with correlation filters and metric learning	60
A novel conditional weighting transfer Wasserstein auto-encoder for rolling bearing fault diagnosis with multi-source domains	60
A novel multi population based particle swarm optimization for feature selection	60
Joint image fusion and denoising via three-layer decomposition and sparse representation	60
Deep Transfer Convolutional Neural Network and Extreme Learning Machine for lung nodule diagnosis on CT images	59
Quantum-inspired ant lion optimized hybrid k-means for cluster analysis and intrusion detection	59
Deep density-based image clustering	58
Unified medical image segmentation by learning from uncertainty in an end-to-end manner	58
Technical analysis strategy optimization using a machine learning approach in stock market indices	58
Semi-supervised anomaly detection algorithms: A comparative summary and future research directions	57
Emergency logistics network design based on space–time resource configuration	57
Similarity-based meta-learning network with adversarial domain adaptation for cross-domain fault identification	57
Phrase dependency relational graph attention network for Aspect-based Sentiment Analysis	56
Multi-class imbalanced big data classification on Spark	56

Single and simultaneous fault diagnosis of gearbox via a semi-supervised and high-accuracy adversarial learning framework	56
A gravitational search algorithm with hierarchy and distributed framework	55
MC-Net: Multiple max-pooling integration module and cross multi-scale deconvolution network	55
Transfer learning for establishment of recognition of COVID-19 on CT imaging using small-sized training datasets	55
Enhanced Jaya algorithm: A simple but efficient optimization method for constrained engineering design problems	54
A reinforcement learning approach for optimizing multiple traveling salesman problems over graphs	54
Graph transformer network with temporal kernel attention for skeleton-based action recognition	54
Guiding data-driven design ideation by knowledge distance	54
Diversified service recommendation with high accuracy and efficiency	54
A new ELECTRE-based method for group decision-making with complex spherical fuzzy information	53
Leveraging unstructured call log data for customer churn prediction	53
Coronavirus herd immunity optimizer with greedy crossover for feature selection in medical diagnosis	53
A Novel Smell Agent Optimization (SAO): An extensive CEC study and engineering application	53
Multi-objective PSO based online feature selection for multi-label classification	52
A novel weak fault diagnosis method for rolling bearings based on LSTM considering quasi-periodicity	52
Vital spreaders identification in complex networks with multi-local dimension	52
Personalized location recommendation by fusing sentimental and spatial context	51
A surrogate-assisted multi-objective particle swarm optimization of expensive constrained combinatorial optimization problems	51
ST-LBAGAN: Spatio-temporal learnable bidirectional attention generative adversarial networks for missing traffic data imputation	51
HeteroGraphRec: A heterogeneous graph-based neural networks for social recommendations	51
HetNERec: Heterogeneous network embedding based recommendation	50
Multi-strategy serial cuckoo search algorithm for global optimization	50
Remote sensing image captioning via Variational Autoencoder and Reinforcement Learning	50
A comprehensive active learning method for multiclass imbalanced data streams with concept drift	49
A novel framework for detecting social bots with deep neural networks and active learning	49
An enhanced manta ray foraging optimization algorithm for shape optimization of complex CCG-Ball curves	49
Dynamic evolution of multi-graph based collaborative filtering for recommendation systems	49
SurvLIME: A method for explaining machine learning survival models	49
A novel hybrid feature selection method considering feature interaction in neighborhood rough set	49
Dual Regularized Unsupervised Feature Selection Based on Matrix Factorization and Minimum Redundancy with application in gene selection	49
Multi-population following behavior-driven fruit fly optimization: A Markov chain convergence proof and comprehensive analysis	48
Randomly Attracted Rough Firefly Algorithm for histogram based fuzzy image clustering	48
Deep reinforcement learning for robust emotional classification in facial expression recognition	48
A novel dynamic ensemble selection classifier for an imbalanced data set: An application for credit risk assessment	48
Optimized radio-frequency identification system for different warehouse shapes	48
Cross-domain intelligent fault classification of bearings based on tensor-aligned invariant subspace learning and two-dimensional convolutional neural networks	48
A new metaheuristic optimization based on K-means clustering algorithm and its application to structural damage identification	48
AIEOU: Automata-based improved equilibrium optimizer with U-shaped transfer function for feature selection	48
Paper recommendation based on heterogeneous network embedding	48
Hessian-based semi-supervised feature selection using generalized uncorrelated constraint	48
An optimization model for rescuer assignments under an uncertain environment by using Dempster–Shafer theory	47
Adaptive Spatio-temporal Graph Neural Network for traffic forecasting	47
Hybrid artificial neural network and cooperation search algorithm for nonlinear river flow time series forecasting in humid and semi-humid regions	47
Community detection in complex networks with an ambiguous structure using central node based link prediction	47
A novel Domain Adaptive Residual Network for automatic Atrial Fibrillation Detection	46
Data-driven fault diagnosis for wind turbines using modified multiscale fluctuation dispersion entropy and cosine pairwise-constrained supervised manifold mapping	46
A context-aware diversity-oriented knowledge recommendation approach for smart engineering solution design	46
Ensemble deep contractive auto-encoders for intelligent fault diagnosis of machines under noisy environment	46
A robust density peaks clustering algorithm with density-sensitive similarity	46
Deep learning for missing value imputation of continuous data and the effect of data discretization	46
Incremental learning imbalanced data streams with concept drift: The dynamic updated ensemble algorithm	45
ACO Resampling: Enhancing the performance of oversampling methods for class imbalance classification	45
Multi-objective optimization based on decomposition for flexible job shop scheduling under time-of-use electricity prices	45
Automatic late blight lesion recognition and severity quantification based on field imagery of diverse potato genotypes by deep learning	45
IntelliBot: A Dialogue-based chatbot for the insurance industry	45
Hybrid Heat Transfer Search and Passing Vehicle Search optimizer for multi-objective structural optimization	45
RBPR: A hybrid model for the new user cold start problem in recommender systems	45
A new bearing fault diagnosis approach combining sensitive statistical features with improved multiscale permutation entropy method	45
DTDR–ALSTM: Extracting dynamic time-delays to reconstruct multivariate data for improving attention-based LSTM industrial time series prediction models	44
K-means clustering for the aggregation of HFLTS possibility distribu	44
A novel progressively undersampling method based on the density peaks sequence for imbalanced data	44
Improved CNN for the diagnosis of engine defects of 2-wheeler vehicle using wavelet synchro-squeezed transform (WSST)	44
TBSM: A traffic burst-sensitive model for short-term prediction under special events	44
A nondestructive automatic defect detection method with pixelwise segmentation	44
A parallel variable neighborhood search algorithm with quadratic programming for cardinality constrained portfolio optimization	44
Double-quantitative distance measurement and classification learning based on the tri-level granular structure of neighborhood system	44
Intrusion detection using multi-objective evolutionary convolutional neural network for Internet of Things in Fog computing	44
Novel multi-label feature selection via label symmetric uncertainty correlation learning and feature redundancy evaluation	44
DeepCorn: A semi-supervised deep learning method for high-throughput image-based corn kernel counting and yield estimation	43
Chaotic marine predators algorithm for global optimization of real-world engineering problems	43
Self-adaptive resources allocation-based differential evolution for constrained evolutionary optimization	43
Semi-supervised NPC segmentation with uncertainty and attention guided consistency	43
MOTEO: A novel physics-based multiobjective thermal exchange optimization algorithm to design truss structures	42
Hybrid firefly algorithm with grouping attraction for constrained optimization problem	42
EEG emotion recognition based on the attention mechanism and pre-trained convolution capsule network	42
A machine learning-based investigation utilizing the in-text features for the identification of dominant emotion in an email	42
A decomposition-based multi-objective genetic programming hyper-heuristic approach for the multi-skill resource constrained project scheduling problem	42
Measures of uncertainty based on Gaussian kernel for a fully fuzzy information system	42
A multimodal hierarchical approach to speech emotion recognition from audio and text	42
Global exponential stability of discrete-time almost automorphic Caputo–Fabrizio BAM fuzzy neural networks via exponential Euler technique	42
Multi-label feature selection based on label correlations and feature redundancy	42
An integrated generalized TODIM model for portfolio selection based on financial performance of firms	42
SMOTE-NaN-DE: Addressing the noisy and borderline examples problem in imbalanced classification by natural neighbors and differential evolution	42
An integrated deep multiscale feature fusion network for aeroengine remaining useful life prediction with multisensor data	42
An integrated interval type-2 fuzzy technique for democratic–autocratic​ multi-criteria decision making	42
A new robust fuzzy c-means clustering method based on adaptive elastic distance	41
An efficient surrogate-assisted quasi-affine transformation evolutionary algorithm for expensive optimization problems	41
A filter-based feature construction and feature selection approach for classification using Genetic Programming	41
NetNCSP: Nonoverlapping closed sequential pattern mining	41
Prediction of wind turbine blade icing fault based on selective deep ensemble model	41
Fast infrared and visible image fusion with structural decomposition	41
Combining contextualized word representation and sub-document level analysis through Bi-LSTM+CRF architecture for clinical de-identification	41
Self-learning transferable neural network for intelligent fault diagnosis of rotating machinery with unlabeled and imbalanced data	41
LSTM based decision support system for swing trading in stock market	41
Multi-surrogate multi-tasking optimization of expensive problems	41