Expert Systems With Applications

Papers
(The H4-Index of Expert Systems With Applications is 114. 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 2021-08-01 to 2025-08-01.)
ArticleCitations
Automating assessment of design exams: A case study of novelty evaluation1112
Multi-view content-context information bottleneck for image clustering880
Person-dependent seizure detection using statistical CUSUM detector: Preliminary results847
Reverse gamma correction based GARCH model for underwater image dehazing and detail exposure743
Feature structure distillation with Centered Kernel Alignment in BERT transferring612
Stochastic-integration-based decision support methods for heterogeneous multi-attribute group decision making with several attribute sets580
Adaptive and automatic aerial image restoration pipeline leveraging pre-trained image restorer with lightweight Fully Convolutional Network418
Representing and discovering heterogeneous interactions for financial risk assessment of SMEs373
Tag-Enhanced Dynamic Compositional Neural Network over arbitrary tree structure for sentence representation332
Robust multi-focus image fusion using focus property detection and deep image matting323
A level set based fractional order variational model for motion estimation in application oriented spectrum312
Privacy-preserving inference resistant to model extraction attacks305
A comparative study for determining Covid-19 risk levels by unsupervised machine learning methods305
Task-driven common subspace learning based semantic feature extraction for acoustic event recognition304
Autoencoder-enabled eye-tracking data analytics for objective assessment of user preference in humanoid robot appearance design303
Vessel speed prediction using latent-invariant transforms in the presence of incomplete information293
Editorial Board290
Corrigendum to “A novel minutiae triangulation technique for non-invertible fingerprint template generation” [Expert Syst. Appl. 186 (2021) 115832]283
Corrigendum to ‘Collaborative multi-modal deep learning and radiomic features for classification of strokes within 6 h’ [Expert Systems Appl. (2023), 228, 120473]262
Financial supply chain analysis with borrower identification in smart lending platform262
Exploring the specific capacity of different multi criteria decision making approaches under uncertainty using data from financial markets246
Enhanced cloud security with Bi-Optimized Sand Cat Swarm and Conv-Bi-ALSTM deep learning models239
An adaptive differential evolution algorithm based on individual-level intervention strategy for global optimization234
An efficient simulation model for layout and mode performance evaluation of robotic mobile fulfillment systems226
PHGL-DDI: A pre-training based hierarchical graph learning framework for drug-drug interaction prediction224
Designing a sustainable-resilient-responsive supply chain network considering uncertainty in the COVID-19 era220
Fast incremental learning by transfer learning and hierarchical sequencing212
A Transform module to enhance lightweight attention by expanding receptive field209
Novel data augmentation for improved insulation fault diagnosis under nonideal condition208
Filter transfer learning algorithm for nonlinear systems modeling with heterogeneous features202
Patch distance based auto-encoder for industrial anomaly detection198
Managing non-cooperative behaviors in consensus reaching process: A novel multi-stage linguistic LSGDM framework198
Multilevel threshold segmentation of rice plant images utilizing tuna swarm optimization algorithm incorporating quadratic interpolation and elite swarm genetic operators196
Editorial Board192
Dynamic group optimization algorithm with a mean–variance search framework191
U-HRMES: Decision theory-based model for appropriate mining equipment selection in underground hard rock stopes191
A dual framework for implicit and explicit emotion recognition: An ensemble of language models and computational linguistics188
Editorial Board186
A stage-based adaptive penalty method for constrained evolutionary optimization185
Graph comparison efficient conditional generative adversarial networks for parameter identification of synchronous generators183
Genetic programming for automatic skin cancer image classification182
A novel adaptive generalized domain data fusion-driven kernel sparse representation classification method for intelligent bearing fault diagnosis182
Towards real-time practical image compression with lightweight attention179
Two-dimensional loading in vehicle routing problem with release and due dates178
An intelligent framework based on optimized variational mode decomposition and temporal convolutional network: Applications to stock index multi-step forecasting174
Text FCG: Fusing Contextual Information via Graph Learning for text classification169
Diff-ZsVQA: Zero-shot Visual Question Answering with Frozen Large Language Models Using Diffusion Model169
Improving plagiarism detection in text document using hybrid weighted similarity168
Modeling spatiotemporal patterns of gait anomaly with a CNN-LSTM deep neural network167
Attention enhanced reinforcement learning for flexible job shop scheduling with transportation constraints163
A memory pool variational autoencoder framework for cross-domain recommendation161
Multi-objective symbolic regression for physics-aware dynamic modeling158
Feature-guided multi-view clustering by jointing local subspace label learning and global label learning158
An improved memetic algebraic differential evolution for solving the multidimensional two-way number partitioning problem155
FITE-GAT: Enhancing aspect-level sentiment classification with FT-RoBERTa induced trees and graph attention network155
Genetic Neural Architecture Search for automatic assessment of human sperm images151
A recollect-tuning method for entity and relation extraction150
Risk assessment modeling with application in the accounting cloud-service industry149
Aspect-based sentiment analysis with multi-granularity information mining and sentiment hint149
Quantum ReLU activation for Convolutional Neural Networks to improve diagnosis of Parkinson’s disease and COVID-19147
GLMKD: Joint global and local mutual knowledge distillation for weakly supervised lesion segmentation in histopathology images147
Intelligent fault diagnosis of rotating machine via Expansive dual-attention fusion Transformer enhanced by semi-supervised learning146
Progressive semantic aggregation and structured cognitive enhancement for image–text matching145
Fraud detection in publicly traded U.S firms using Beetle Antennae Search: A machine learning approach145
Low-Redundant Unsupervised Feature Selection based on Data Structure Learning and Feature Orthogonalization144
An intelligent framework for prediction and forecasting of dissolved oxygen level and biofloc amount in a shrimp culture system using machine learning techniques142
Global information enhancement and subgraph-level weakly contrastive learning for lightweight weakly supervised document-level event extraction140
VGbel: An exploration of ensemble learning incorporating non-Euclidean structural representation for time series classification140
Spectral information guidance network for tampering localization of high-resolution satellite map140
Optimizing ESG reporting: Innovating with E-BERT models in nature language processing139
An optimized multi-head attention based fused depthwise convolutional model for lung cancer detection139
A social context-aware graph-based multimodal attentive learning framework for disaster content classification during emergencies138
AHWCN: An interpretable attention-guided hierarchical wavelet convolutional network for rotating machinery intelligent fault diagnosis138
Medical machine learning based on multiobjective evolutionary algorithm using learning decomposition138
An extreme learning machine based virtual sample generation method with feature engineering for credit risk assessment with data scarcity137
Data size reduction approach for nonlinear process monitoring refinement using Kernel PCA technique137
Series decomposition Transformer with period-correlation for stock market index prediction137
A Novel EPI-Guided Network with Progressive Fusion for Light Field Reconstruction135
DCCN: A dual-cross contrastive neural network for 3D point cloud representation learning134
SR_ColorNet: Multi-path attention aggregated and mask enhanced network for the super resolution and colorization of panchromatic image134
A distance similarity-based genetic optimization algorithm for satellite ground network planning considering feeding mode134
Bhattacharyya distance based concept drift detection method for evolving data stream133
Intelligent fault diagnosis for air handing units based on improved generative adversarial network and deep reinforcement learning132
Short-term passenger flow prediction during station closures in subway systems132
Multi-strategy-based adaptive sine cosine algorithm for engineering optimization problems132
Self-attention network-based state of charge estimation for lithium-ion batteries with gapped temperature data132
Transformer-BLS: An efficient learning algorithm based on multi-head attention mechanism and incremental learning algorithms131
Incorporating hydrological constraints with deep learning for streamflow prediction131
A heuristic solution framework for the resource-constrained multi-aircraft scheduling problem with transfer of resources and aircraft131
Detect Arabic fake news through deep learning models and Transformers131
An overlapping clustering approach for precision, diversity and novelty-aware recommendations129
Word separation in continuous sign language using isolated signs and post-processing129
Monitoring multi-domain batch process state based on fuzzy broad learning system129
Automated real estate valuation with machine learning models using property descriptions128
HMDFF-Net: Hierarchical multi-scale dilated feature fusion network for accurate multiclass diagnosis of brain tumors128
Development and application of a hybrid forecasting framework based on improved extreme learning machine for enterprise financing risk127
A Bayesian based approach for analyzing customer’s online sales data to identify weights of product attributes127
Keypoints-based Heterogeneous Graph Convolutional Networks for construction127
MITDCNN: A multi-modal input Transformer-based deep convolutional neural network for misfire signal detection in high-noise diesel engines126
A stock selection algorithm hybridizing grey wolf optimizer and support vector regression126
Real-time workflow scheduling in hybrid clouds with privacy and security constraints: A deep reinforcement learning approach126
A speed-up procedure for the hybrid flow shop scheduling problem125
Synchronization sampled-data control of uncertain neural networks under an asymmetric Lyapunov–Krasovskii functional method124
A rollout heuristic algorithm for order sequencing in robotic compact storage and retrieval systems124
Generative models for color normalization in digital pathology and dermatology: Advancing the learning paradigm124
Optimal cost-sensitive credit scoring using a new hybrid performance metric123
A comparative study of nonlinear regression and autoregressive techniques in hybrid with particle swarm optimization for time-series forecasting122
An integrated multi-objective mathematical model for sugarcane harvesting considering cumulative degree-days122
Fast & Furious: On the modelling of malware detection as an evolving data stream121
Global optimal Ramanujan spectrum: A feature extraction method without pseudo-monotonicity119
Machine-learning-based short-term forecasting of daily precipitation in different climate regions across the contiguous United States118
A weighted word embedding based approach for extractive text summarization117
Smart streetlight framework for collision prediction of vehicles116
Ueco: Unified editing chain for efficient appearance transfer with multimodality-guided diffusion115
Autonomous sparse Markowitz portfolio based on two-stage accelerated forward–backward algorithm114
Toward a generic information system for projects portfolio management using Physics of Decision (POD)114
FTPSG: Feature mixture transformer and potential-based subgoal generation for hierarchical multi-agent reinforcement learning114
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