Expert Systems With Applications

Papers
(The TQCC of Expert Systems With Applications is 14. 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 2021-02-01 to 2025-02-01.)
ArticleCitations
DeepProbCEP: A neuro-symbolic approach for complex event processing in adversarial settings899
Deepluenza: Deep learning for influenza detection from Twitter792
Prioritizing vulnerability patches in large networks713
Stratified opposition-based initialization for variable-length chromosome shortest path problem evolutionary algorithms651
Enhancing fraud detection efficiency in mobile transactions through the integration of bidirectional 3d Quasi-Recurrent Neural network and blockchain technologies586
Intra-hour photovoltaic power point-interval prediction using a dual-view deep neural network534
Dataset-level color augmentation and multi-scale exploration methods for polyp segmentation504
Leukocyte classification using relative-relationship-guided contrastive learning497
Seeking multi-view commonality and peculiarity: A novel decoupling method for lung cancer subtype classification408
Risk evaluation of livestream e-commerce platforms based on expert trust networks and CODAS407
Global optimal Ramanujan spectrum: A feature extraction method without pseudo-monotonicity393
Intelligent fault diagnosis of rotating machine via Expansive dual-attention fusion Transformer enhanced by semi-supervised learning388
TKSTAGNet: A Top-K Spatio-Temporal Attention Gating Network for air pollution prediction326
LARGE: A leadership perception framework for group recommendation315
Fusion-driven fault diagnosis based on adaptive tuning feature mode decomposition and synergy graph enhanced transformer for bearings under noisy conditions281
G20 systemic risk: Are structural oil price shocks driving factors?277
Filter transfer learning algorithm for nonlinear systems modeling with heterogeneous features267
Combinatorial test case prioritization using hybrid energy Valley Dwarf mongoose optimization approach264
Joint vehicle and courier routing problem in last mile delivery with parcel lockers250
Predicting employee attrition and explaining its determinants243
A CBR for integrating sentiment and stress analysis for guiding users on social network sites238
A bagging-based selective ensemble model for churn prediction on imbalanced data237
Identification of malware families using stacking of textural features and machine learning231
An efficient automatic accident detection system using inertial measurement through machine learning techniques for powered two wheelers229
Trust modeling based on probabilistic linguistic term sets and the MULTIMOORA method220
A proposed customer relationship framework based on information retrieval for effective Firms’ competitiveness218
A survey on recent advances in Sign Language Production214
Assesing the influence of environmental variables on the performance of water companies: An efficiency analysis tree approach211
Fast & Furious: On the modelling of malware detection as an evolving data stream202
RAGE: A novel strategy for solving non-polynomial problems through the random generation of solutions and incremental reduction of the number of candidates: A case study applied to the design of the n193
Optimizing service design for the intercity demand responsive transit system: Model, algorithm, and comparative analysis189
KGroot: A knowledge graph-enhanced method for root cause analysis181
Tensor-based global block-diagonal structure radiation for incomplete multiview clustering178
Optimal cost-sensitive credit scoring using a new hybrid performance metric178
Survey on Explainable AI: Techniques, challenges and open issues170
Oscar: Omni-scale robust contrastive learning for Text-VQA168
New activation functions for single layer feedforward neural network168
Multi-core sine cosine optimization: Methods and inclusive analysis157
ML models for severity classification and length-of-stay forecasting in emergency units156
A novel deep clustering network using multi-representation autoencoder and adversarial learning for large cross-domain fault diagnosis of rolling bearings156
Informed anytime Bi-directional Fast Marching Tree for optimal motion planning in complex cluttered environments152
A novel multi-attribute decision-making for ranking mobile payment services using online consumer reviews151
Application of improved multi-objective particle swarm optimization algorithm to solve disruption for the two-stage vehicle routing problem with time windows150
Series decomposition Transformer with period-correlation for stock market index prediction149
Digital twin-supported smart city: Status, challenges and future research directions148
An ensemble credit scoring model based on logistic regression with heterogeneous balancing and weighting effects147
Deep learning-based multimodal emotion recognition from audio, visual, and text modalities: A systematic review of recent advancements and future prospects147
MITDCNN: A multi-modal input Transformer-based deep convolutional neural network for misfire signal detection in high-noise diesel engines147
Selection bias mitigation in recommender system using uninteresting items based on temporal visibility145
Inventory management of new products in retailers using model-based deep reinforcement learning144
A Minutiae Selection Algorithm (MSA) for efficient palmprint matching using Histograms of Differences (HoDs)142
Combined Text-Mining/DEA method for measuring level of customer satisfaction from online reviews139
Agricultural UAV trajectory planning by incorporating multi-mechanism improved grey wolf optimization algorithm138
Targeted aspect-based emotion analysis to detect opportunities and precaution in financial Twitter messages137
A deep-learning wind speed interval forecasting architecture based on modified scaling approach with feature ranking and two-output gated recurrent unit137
ViXNet: Vision Transformer with Xception Network for deepfakes based video and image forgery detection137
Evaluation of the impact of blockchain technology on supply chain using cognitive maps136
Transformer-based attention network for stock movement prediction135
Efficient machine learning approach for volunteer eye-blink detection in real-time using webcam133
An overlapping clustering approach for precision, diversity and novelty-aware recommendations133
A new representation of scene layout improves saliency detection in traffic scenes132
An efficient method to determine sample size in oversampling based on classification complexity for imbalanced data131
Modeling spatiotemporal patterns of gait anomaly with a CNN-LSTM deep neural network129
Assessing determinants influencing continued use of live streaming services: An extended perceived value theory of streaming addiction127
Machine learning model for diagnostic method prediction in parasitic disease using clinical information125
A machine learning-based approach for flames classification in industrial Heavy Oil-Fire Boilers124
On developing a green and intelligent manufacturing system124
Applications of artificial intelligence in COVID-19 pandemic: A comprehensive review124
Aspect-based sentiment analysis with multi-granularity information mining and sentiment hint122
Parameters identification of photovoltaic models using Lambert W-function and Newton-Raphson method collaborated with AI-based optimization techniques: A comparative study122
HiDiffSeg: A hierarchical diffusion model for blood vessel segmentation in retinal fundus images122
The automation of the development of classification models and improvement of model quality using feature engineering techniques121
Forecasting financial signal for automated trading: An interpretable approach121
Dialogue act-based partner persona extraction for consistent personalized response generation121
Multi-threshold image segmentation using a multi-strategy shuffled frog leaping algorithm119
TDS-Net: Transformer enhanced dual-stream network for video Anomaly Detection119
Theoretical and empirical analysis of filter ranking methods: Experimental study on benchmark DNA microarray data119
An improved grey multivariable time-delay prediction model with application to the value of high-tech industry116
Eye detection and coarse localization of pupil for video-based eye tracking systems116
Why pay more? A simple and efficient named entity recognition system for tweets116
OR2Net: Onlin116
Multi-objective evolutionary algorithms with heuristic decoding for hybrid flow shop scheduling problem with worker constraint115
Medium-term water consumption forecasting based on deep neural networks113
Effective metaheuristic and rescheduling strategies for the multi-AGV scheduling problem with sudden failure113
Financial supply chain analysis with borrower identification in smart lending platform113
DoBMark: A double-branch network for screen-shooting resilient image watermarking112
Image encryption algorithm based on DNA encoding and CNN112
Applications of new hybrid algorithm based on advanced cuckoo search and adaptive Gaussian quantum behaved particle swarm optimization in solving ordinary differential equations112
Pattern recognition frequency-based feature selection with multi-objective discrete evolution strategy for high-dimensional medical datasets111
Data-driven robust optimization for a multi-trip truck-drone routing problem111
Exploiting causality signals in medical images: A pilot study with empirical results110
Comparative analysis of deep learning based building extraction methods with the new VHR Istanbul dataset108
Group risk assessment in failure mode and effects analysis using a hybrid probabilistic hesitant fuzzy linguistic MCDM method107
A hybrid machine learning model based on ensemble methods for devices fault prediction in the wood industry107
Bank strategic asset allocation under a unified risk measure106
Generalized TODIM method based on symmetric intuitionistic fuzzy Jensen–Shannon divergence106
Optimal and efficient planning of charging stations for electric vehicles in urban areas: formulation, complexity and solutions106
Data Science, Machine learning and big data in Digital Journalism: A survey of state-of-the-art, challenges and opportunities106
Sine–Cosine-Barnacles Algorithm Optimizer with disruption operator for global optimization and automatic data clustering106
A new scheme of polar Fast Fourier Transform Code for iris recognition through symbolic modelling approach106
A frame and first-order logic solution for the Wumpus World: Implemented in Flora-2106
Canonical triangular interval type-2 fuzzy set linguistic distribution assessment TODIM approach: A case study of FMEA for electric vehicles DC charging piles106
A novel approach for wafer defect pattern classification based on topological data analysis105
On oversampling imbalanced data with deep conditional generative models105
An objective evaluation method for automated vehicle virtual test105
Modeling and solution for hybrid flow-shop scheduling problem by two-stage stochastic programming104
Rethinking gradient operator for exposing AI-enabled face forgeries103
Few-shot satellite image classification for bringing deep learning on board OPS-SAT102
A high-capacity QRD-based blind color image watermarking algorithm incorporated with AI technologies102
Soft hypergraph for modeling global interactions via social media networks101
Deep-learning-based solution for data deficient satellite image segmentation101
A comparative analysis of government intervention under the EPR system: Eco-design and authorized remanufacturing100
EML-PSP: A novel ensemble machine learning-based physical security paradigm using cross-domain ultra-fused feature extraction with hybrid data augmentation scheme100
A novel breast cancer detection system using SDM-WHO-RNN classifier with LS-CED segmentation100
CHEIC: Chemical Image Classificator. An intelligent system for identification of volatiles compounds with potential for respiratory diseases using Deep Learning99
HetTreeSum: A Heterogeneous Tree Structure-based Extractive Summarization Model for Scientific Papers99
Comments on “Stacking ensemble based deep neural networks modeling for effective epileptic seizure detection”99
Novel automatic group identification approaches for group recommendation99
Class imbalance mitigation: A select-then-extract learning framework for emotion-cause pair extraction97
Cε-LDE: A lightweight variant of differential evolution algorithm with combined ε constrained method and Lévy flight for constrained optimization problems97
An embedding and interactions learning approach for ID feature in deep recommender system97
Determination and classification of fetal sex on ultrasound images with deep learning97
Dynamic network embedding via structural attention97
Attribute mining multi-view contrastive learning network for recommendation96
Calibrated explanations: With uncertainty information and counterfactuals96
Multi-source data based anomaly detection through temporal and spatial characteristics96
Uncertainty, volatility and the persistence norms of financial time series95
The student scheduling problem at Université de Technologie de Compiègne94
Learning deep relevance couplings for ad-hoc document retrieval94
An effective neighbor information mining and fusion method for recommender systems based on generative adversarial network94
Classification of Individual’s discrete emotions reflected in facial microexpressions using electroencephalogram and facial electromyogram93
A new item similarity based on α-divergence for collaborative filtering in 93
Continental generalization of a human-in-the-loop AI system for clinical seizure recognition93
Printed label defect detection using twice gradient matching based on improved cosine similarity measure91
Hybrid whale optimization algorithm with gathering strategies for high-dimensional problems90
AdaGC: A Novel Adaptive Optimization Algorithm with Gradient Bias Correction89
Assessment of a failure prediction model in the European energy sector: A multicriteria discrimination approach with a PROMETHEE based classification89
The theater of fake news spreading, who plays which role? A study on real graphs of spreading on Twitter89
Comparing aggregation methods in large-scale group AHP: Time for the shift to distance-based aggregation89
Exploring the efficacy of neurofeedback training in modulating alpha-frequency band and its effects on functional connectivity and band power88
Bayesian autoencoders with uncertainty quantification: Towards trustworthy anomaly detection88
Systematic review and network meta-analysis of machine learning algorithms in sepsis prediction88
Power output optimization of electric vehicles smart charging hubs using deep reinforcement learning88
Application of convolutional neural network to traditional data87
Semantic segmentation of remote sensing images based on multiscale features and global information modeling87
Improved camouflaged detection in the large-scale images and videos with minimum boundary contrast in detection technique87
Research on multi-granularity imbalanced knowledge condition monitoring for mechanical equipment based on hierarchical ELM in multi-entropy space87
Online spatiotemporal modeling for high spatial-dimensional DPSs under nonstationary sensor layout87
Aerial drone fleet deployment optimization with endogenous battery replacements for direct delivery of time-sensitive products86
MSCLK: Multi-scale fully separable convolution neural network with large kernels for early diagnosis of Alzheimer’s disease86
Neutrosophic multi-period two stage four-dimensional transportation problem for breakable items85
Online updating extended belief rule-based system for sensor-based activity recognition85
River ecosystem health assessment in the Qinghai-Tibet Plateau: A novel hybrid method based on artificial intelligence and multi-source data fusion85
An overview and a benchmark of active learning for outlier detection with one-class classifiers85
Generative models for color normalization in digital pathology and dermatology: Advancing the learning paradigm84
Multi-strategy-based adaptive sine cosine algorithm for engineering optimization problems84
Optimization of selective withdrawal systems in hydropower reservoir considering water quality and quantity aspects84
Eye gaze estimation: A survey on deep learning-based approaches84
Machine learning models for forecasting power electricity consumption using a high dimensional dataset83
Iterated hyperplane search for the budgeted maximum coverage problem83
Hybrid structural graph attention network for POI recommendation83
Indices of textual cohesion by lexical repetition based on semantic networks of cliques83
Strategic servitization design method for Industry 4.0-based smart intralogistics and production83
A possibilistic fuzzy Gath-Geva clustering algorithm using the exponential distance83
Improving the efficiency of last-mile delivery with the flexible drones traveling salesman problem83
A reinforcement learning and deep learning based intelligent system for the support of impaired patients in home treatment82
An AIC-based approach to identify the most influential variables in eco-efficiency evaluation82
A data driven recurrent neural network approach for reproduction of variable visuo-haptic force feedback in surgical tool insertion82
Optimization evaluation model of student dormitory design scheme based on multiple evaluation principles82
Two-sided disassembly line balancing problem with sequence-dependent setup time: A constraint programming model and artificial bee colony algorithm81
Design and application of Nagar-Bardini structure-based interval type-2 fuzzy logic systems optimized with the combination of backpropagation algorithms and recursive least square algorithms81
Hybrid embedding-based text representation for hierarchical multi-label text classification81
Sparse fuzzy classification for profiling online users and relevant user-generated content81
Noun-based attention mechanism for Fine-grained Named Entity Recognition80
A weighted fuzzy process neural network model and its application in mixed-process signal classification80
Solving traveling salesman problem using hybridization of rider optimization and spotted hyena optimization algorithm80
The role of context fusion on accuracy, beyond-accuracy, and fairness of point-of-interest recommendation systems80
A decision support model for estimating participation-oriented designs of crowdsourcing platforms based on quality function deployment79
Optimum fuzzy logic controller applied to a hybrid hydraulic vehicle to minimize fuel consumption and emissions78
Dynamic learning framework for epileptic seizure prediction using sparsity based EEG Reconstruction with Optimized CNN classifier78
Phase space reconstruction, geometric filtering based Fisher discriminant analysis and minimum distance to the Riemannian means algorithm for epileptic seizure classification77
Comparing PCA-based fault detection methods for dynamic processes with correlated and Non-Gaussian variables77
An ontology-based system to avoid UAS flight conflicts and collisions in dense traffic scenarios77
Analyzing and forecasting service demands using human mobility data: A two-stage predictive framework with decomposition and multivariate analysis77
Development of a consumer financial goals ontology for use with FinTech applications for improving financial capability77
A hybridized LSTM-ANN-RSA based deep learning models for prediction of COVID-19 cases in Eastern European countries77
Designing of data-driven strategies for the online one-way trading problem76
Robust drought forecasting in Eastern Canada: Leveraging EMD-TVF and ensemble deep RVFL for SPEI index forecasting76
SENTINEY: Securing ENcrypted mulTI-party computatIoN for Enhanced data privacY and phishing detection76
An ensemble approach for enhanced Day-Ahead price forecasting in electricity markets76
A mixture of shallow neural networks for virtual sensing: Could perform better than deep neural networks76
Two-stage evolutionary game model on complex networks for emergency logistics based on blockchain platform75
Online public opinion prediction based on a novel seasonal grey decomposition and ensemble model75
Human-aligned trading by imitative multi-loss reinforcement learning75
SimpleCNN-UNet: An optic disc image segmentation network based on efficient small-kernel convolutions75
Deep MRI glioma segmentation via multiple guidances and hybrid enhanced-gradient cross-entropy loss75
Competitive scheduling in a hybrid flow shop problem using multi-leader–multi-follower game - A case study from Iran75
Keypoints-based Heterogeneous Graph Convolutional Networks for construction75
Audiovisual speaker indexing for Web-TV automations75
Unlocking hidden market segments: A data-driven approach exemplified by the electric vehicle market74
Selection of virtual team members for smart port development projects through the application of the direct and indirect uncertain TOPSIS method74
TPKE-QA: A gapless few-shot extractive question answering approach via task-aware post-training and knowledge enhancement73
An Efficient Corpus Indexer for dynamic corpora retrieval73
SPE-SHAP: Self-paced ensemble with Shapley additive explanation for the analysis of aviation turbulence triggered by wind shear events73
An effective weight initialization method for deep learning: Application to satellite image classification73
A new detection method for the ageing state of composite insulators based on spectral–spatial feature fusion72
An interpretable graph neural network for real-world satellite power system anomaly detection based on graph filtering72
A novel community development algorithm and its application to optimize main steam temperature of supercritical units72
Deep face profiler (DeFaP): Towards explicit, non-restrained, non-invasive, facial and gaze comprehension72
Detection of various gastrointestinal tract diseases through a deep learning method with ensemble ELM and explainable AI71
Analysis of the determinants of service quality in the multimodal public transport system of Bhopal city using structural equation modelling (SEM) and factor analysis71
A lattice-based data sharing functional encryption scheme with HRA security for IoT71
Drug recommendation ranking for personalized medicine using outcomes of retrospective cancer patients71
A Seq2Seq transformation strategy for generalizing a pre-trained model in anomaly detection of rolling element bearings71
Editorial Board71
An end-to-end framework combining time–frequency expert knowledge and modified transformer networks for vibration signal classification70
An adaptive protection coordination for microgrids utilizing an improved optimization technique for user-defined DOCRs characteristics with different groups of settings considering N-1 contingency70
FTODefender: An efficient flow table overflow attacks defending system in SDN70
Deep residual convolutional neural Network: An efficient technique for intrusion detection system70
Fast and accurate pose estimation of additive manufactured objects from few X-ray projections70
A framework for feature selection through boosting70
Novel distributed load balancing algorithms in cloud storage70
Fallen person detection for autonomous driving70
Designing scheduled route for river liner shipping services with empty container repositioning69
Feature weighting methods: A review69
Dynamic portfolio optimization with inverse covariance clustering69
Designing a steady-state experimental dataset for predicting transient NOx emissions of diesel engines via deep learning69
DeepMatcher: A deep transformer-based network for robust and accurate local feature matching69
Exposing the Achilles’ heel of textual hate speech classifiers using indistinguishable adversarial examples69
A new adaptive Kriging-based optimization (AKBO) framework for constrained optimization problems: A case study on shared autonomous electric vehicle system design69
A novel two-phase clustering-based under-sampling method for imbalanced classification problems68
LightGCAN: A lightweight graph convolutional attention network for user preference modeling and personalized recommendation68
Vendor managed inventory system considering deteriorating items and probabilistic demand for a three-layer supply chain68
DDoS attack prediction using a honey badger optimization algorithm based feature selection and Bi-LSTM in cloud environment68
Two-layer path planning for multi-area coverage by a cooperative ground vehicle and drone system68
Combining prompt learning with contextual semantics for inductive relation prediction68
American Sign language fingerspelling recognition in the wild with spatio temporal feature extraction and multi-task learning68
DED: Diagnostic Evidence Distillation for acne severity grading on face images68
A new framework for deep learning video based Human Action Recognition on the edge68
Self-supervised inter- and intra-slice correlation learning for low-dose CT image restoration without ground truth67
Clustered Bayesian classification for within-class separation67
Transformer-based sensor failure prediction and classification framework for UAVs67
Smart streetlight framework for collision prediction of vehicles67
Kernel meets recommender systems: A multi-kernel interpolation for matrix completion67
SeismoNet: A proximal policy optimization-based earthquake early warning system using dilated convolution layers and online data augmentation66
Prerequisite-aware course ordering towards getting relevant job opportunities66
Enhancing the resilience of combat system-of-systems under continuous attacks: Novel index and reinforcement learning-based protection optimization66
Consistency and consensus driven for hesitant fuzzy linguistic decision making with pairwise comparisons66
An interpretable multi-scaled agent hierarchy for time series prediction66
Group decision making with hesitant fuzzy linguistic preference relations based on modified extent measurement66
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