Intelligent Data Analysis

Papers
(The TQCC of Intelligent Data Analysis is 2. 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 2022-08-01 to 2026-08-01.)
ArticleCitations
Filter pruning via feature map clustering26
Trajectory personalization privacy preservation method based on multi-sensitivity attribute generalization and local suppression21
Robust partial face recognition using multi-label attributes16
Conversational recommender based on graph sparsification and multi-hop attention15
SARW: Similarity-Aware Random Walk for GCN14
Secured finance handling for supply chain integrated business intelligence using blockchain application scenarios12
Editorial12
Knowledge graph embedding in a uniform space12
cd-MBRec: Enhancing multi-behavior recommendation by explicitly modeling commonality and diversity11
Deep learning-based badminton action recognition and quality assessment11
Exploring high-level patterns for portfolio selection through pre-training9
Exploiting the implicit independence assumption for learning directed graphical models9
Effectiveness of ELMo embeddings, and semantic models in predicting review helpfulness9
Forecast combination with multivariate grey prediction for tourism demand forecasting9
I2R: Intra and inter-modal representation learning for code search9
A new user similarity model using item genre information for collaborative filtering9
HDAF: A novel activation function for image classification9
Ordination-based verification of feature selection in pattern evolution research9
Predicting the short life cycle of semiconductor products for demand forecasting using ridge regularization9
Resformer: Combine quadratic linear transformation with efficient sparse Transformer for long-term series forecasting8
An interpretable model for stock trading volume prediction based on interval belief rule base with adaptive rule8
Unsupervised multi-source domain adaptation for person re-identification via sample weighting8
Learning traffic as videos: A spatio-temporal VAE approach to periodic traffic raster data imputation8
Construction of motion phase classification algorithm using ankle joint physical signals8
Adaptive multilingual app recommendation using user behavior and contextual learning models8
Cross-modality semantic guidance for multi-label image classification8
Inferring student social link from spatiotemporal behavior data via entropy-based analyzing model7
An adaptive oversampling method WRM-SMOTE for credit card fraud imbalanced datasets7
An integrative framework for brain tumor segmentation and classification using neuraclassnet7
TriSeqNet: Tri-dimensional sequential fusion network for triple relationships in CTR prediction7
Using an effective self-deconvolution scheme in combination with multivariate Gaidai reliability approach to forecast areal wave heights7
Prediction and analysis of chronic epilepsy using electroencephalographic signals on medical internet of things platform7
Expression of concern: “Attribute graph clustering via transformer and graph attention autoencoder”7
SPAT: An intelligent educational system for student performance prediction using learning analytics and visualization6
Data-driven predictive maintenance framework for railway systems6
LaplaceConfidence: A graph-based approach for learning with noisy labels6
Mining skyline frequent-utility patterns from big data environment based on MapReduce framework6
Smart-building forecasting energy using spatio-temporal CNN-LSTM approach: Case of smart hospital6
CMCEE: A joint learning framework for cascade decoding with multi-feature fusion and conditional enhancement for overlapping event extraction6
Trajectory outlier detection method based on group division6
A domain density peak clustering algorithm based on natural neighbor6
Sample-Dependent Subspace Clustering with Elastic Structure Consistency Constraints6
Editorial6
End-to-end knowledge graph-based question answering system for complex queries6
MFF-SC: A multi-feature fusion method for smart contract classification5
Multi-granularity user interest modeling and interest drift detection5
Reformulation of the SVM+ optimization problem into quadratic programming form5
Style augmentation domain-universality transferable targeted attack5
Modeling multi-attribute and implicit relationship factors with self-supervised learning for recommender systems4
Exploiting scatter matrix on one-class support vector machine based on low variance direction4
A hybrid classification method via keywords screening and attention mechanisms in extreme short text4
Spatio-temporal patterns assisted deep learning model for PM 2.5 prediction (STEEP)4
Machine learning based software effort estimation using development-centric features for crowdsourcing platform4
A review on learning based image reflection removal algorithms4
ICL: In-loop continual learning framework for language model pre-training for E-commerce4
Adaptive weight scaling feature selection for minority-class recognition in imbalanced text corpora4
Synthetic dataset generator for anomaly detection in a university environment4
Uncovering periodic group behaviors in temporal bipartite social graphs4
A lightweight vision transformer with symmetric modules for vision tasks4
Robust AI generated text detection through multi-grained latent feature denoising and contrastive representation learning4
HLPL: H epatic Evaluation for L ife P rediction based on Ma4
Feature evolvable learning with image streams4
Evaluation of RAG-based LLMs: A case study in the insurgency knowledge domain4
Multiple Distilling-based spatial-temporal attention networks for unsupervised human action recognition4
Editorial4
Multiple-local feature and attention fused person re-identification method4
An adaptive active learning algorithm with informativeness and representativeness4
Explaining rifle shooting factors through multi-sensor body tracking14
Categorization of motor imagery EEG signal using optimal feature selection based multi-scale attention model4
Self-training algorithm based on density peaks combining globally adaptive multi-local noise filter4
Network-based data complexity measures for multiclass classification of hybrid data and its correlation with supervised classifiers4
A novel dual-granularity lightweight transformer for vision tasks4
Prediction Level Fusion of Vision Transformers (PF-ViTs) based Network for the Detection of Autism Spectrum Disorder using sMRI4
Text classification method based on dependency parsing and hybrid neural network4
Pure large kernel convolutional neural network transformer for medical image registration4
Symmetry-driven neural networks for secure and optimized data processing in E-government applications4
Positive public opinion guidance model based on dual learning in social network4
A grouping feature selection method based on feature interaction4
Heuristic strategy-assisted transfer learning for cervical cancer detection with GAN-based data augmentation4
Dynamic mutual information-based feature selection for multi-label learning4
WAGRank: A word ranking model based on word attention graph for keyphrase extraction3
Livernet based segmentation of lesions from computed tomography scan for liver tumor detection3
MTS: A deep reinforcement learning portfolio management framework with time-awareness and short-selling3
Time highlighted multi-interest network for session-based news recommendation3
A deep learning-based neural style transfer optimization approach3
Quantum inspired genetic algorithm with clustering-based bagging approach for improved deceit classification3
Neighborhood evidence-driven artificial bee colony algorithm with application for optimal operation of wet flue gas desulfurization system3
Clustering-based improved adaptive synthetic minority oversampling technique for imbalanced data classification3
Weighted Bonferroni mean-based classifiers with factorization machines for binary classification3
Emotional privacy-preserving of speech based on generative adversarial networks3
Meditation-induced cognitive state classification using sparse brain connectivity features and electroencephalography3
Temporal spatial semantic fusion network for audio-visual zero-shot learning3
A multi-layer multi-view stacking model for credit risk assessment3
Detection of multi-size peach in orchard using RGB-D camera combined with an improved DEtection Transformer model3
Intrusion detection in SDN-IoT using robust GRU with attention mechanism and fuzzy weighting3
A three-way decision method with changing decision attributes3
Editorial3
Trust enhanced POI recommendation with collaborative learning3
Using eigenvalues of distance matrices for outlier detection3
An approach for unsupervised contextual anomaly detection and characterization3
An enhanced network for brain MR image denoising3
Erratum3
OFMT-net: Advancing micro-expression recognition through optical flow and multi-task network with self-attention3
Sentiment analysis: A machine learning utilisation for analyzing the sentiments of facebook and twitter posts3
Two stages data mining analytics for food intentional and behavioral recommendations3
Stacked collaborative transformer network with contrastive learning for video moment localization3
HFD: Hierarchical feature decoupling for SQL generation from text3
Heterogeneous information fusion based graph collaborative filtering recommendation3
Three-stage multi-modal multi-objective differential evolution algorithm for vehicle routing problem with time windows3
Deep learning models for predicting the position of the head on an X-ray image for Cephalometric analysis3
Ep-Satty-MCDM based business decision-making model using behaviour and review data3
A Responsible AI approach for designing resilient classifier to handle incomplete data3
OpTunedSMOTE: A novel model for automated hyperparameter tuning of SMOTE in software defect prediction3
A lightweight method of pose estimation for indoor object2
SOFTS++: Fast and accurate linear model for multivariate long-term time series forecasting2
Learning bayesian multinets from labeled and unlabeled data for knowledge representation2
E-Health technological barriers faced by Iraqi healthcare institutions2
Cross-community shortcut detection based on network representation learning and structural features2
Early prediction of hospital admission in the emergency department by generating expanded chief complaints2
Sub-trajectory anomaly detection based on trajectory segmentation merging and grouping clustering2
IoT data visualizations for hospital insight in corporate finance utilizing machine learning algorithm2
Blockchain espoused recalling-enhanced recurrent neural network with fractional discrete meixner moments encryption for cyber security in cloud computing2
Hypernetwork parameter optimization of QMIX based on differential evolution2
Spectrum heterogeneity-based efficient spectrum sensing in 6G wireless communication using ATRC-LSNN and F-ExpoTIS2
Cluster validity for noise aware clusterings2
Lightweight unmanned aerial vehicle object detection algorithm based on improved YOLOv82
Editorial2
Integrating deep neural network with logic rules for credit scoring2
Adaptive marine intelligence and sensing architecture for autonomous underwater ecosystem monitoring using AI and IoT integration2
A medical assistant decision-making method based on interval belief rule base with explainability2
P VALL-E: An efficient multilingual speech synthesis system based on the performer architecture2
A hybrid variational framework for AIS data quality enhancement and anomaly detection2
Social and economic development impact of elderly health care products based on design ethics2
Semi-supervised contrastive learning with decomposition-based data augmentation for time series classification2
Active ordinal classification by querying relative information2
An improved hybrid structure learning strategy for Bayesian networks based on ensemble learning2
Editorial 30(5)2
Guided node graph convolutional networks for repository recommendation2
A multi-domain adaptive neural machine translation method based on domain data balancer2
VMD-LSTM-BMA: A hybrid model for enhancing fresh food sales forecasting and uncertainty estimation2
MeFiNet: Modeling multi-semantic convolution-based feature interactions for CTR prediction2
Comparative observation of changes in natriuretic peptides before and after interventional therapy for congenital heart disease2
Parallel power load abnormalities detection using fast density peak clustering with a hybrid canopy-K-means algorithm2
Performance analysis of deep transfer learning approaches in detecting and classifying brain tumor from magnetic resonance images2
Hybrid quantum binary light spectrum classical convolutional neural network based Cost reduction and work load scheduling of geo-distributed data centres2
Comparative analysis of epidemic public opinion and policies in two regions of China based on big data2
FairAW – Additive weighting without discrimination2
Decentralized anomaly detection and data privacy preservation for IoT networks using blockchain and homomorphic encryption2
An efficient semi-supervised multivariate time series classification model based on multiple prime convolution kernels with adaptive attentions2
A feature-level mask self-supervised assisted learning approach based on transformer for remaining useful life prediction2
Collaborative optimization with PSO for named entity recognition-based applications2
Decision variables to be discovered in modelling high-dimensional omics data for cancer studies2
A novel HVAC fuzzy controller based on improved snake optimizer algorithm2
Digital image processing for evaluating the impact of designated nanoparticles in biomedical applications2
Penalized additive neural network regression2
A novel deep learning framework for the identification of tortuous vessels in plus diseased infant retinal images2
Ultrasound breast images denoising using generative adversarial networks (GANs)2
Missing data imputation using correlation coefficient and min-max normalization weighting2
Urban epidemiological death rate prognostics by the Gaidai multivariate approach2
Editorial2
A cognitive domain specific framework integrating large language model for COVID-19 vaccine sentiment analysis2
A systematic review of hyperparameter tuning techniques for software quality prediction models2
Improving process discovery by filtering noises based on event dependency2
SUWAN: A supervised clustering algorithm with attributed networks2
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