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 2021-04-01 to 2025-04-01.)
ArticleCitations
Sentiment analysis: A machine learning utilisation for analyzing the sentiments of facebook and twitter posts27
Interpretable deep classification of time series based on class discriminative prototype learning16
Editorial14
Livernet based segmentation of lesions from computed tomography scan for liver tumor detection13
Conversational recommender based on graph sparsification and multi-hop attention11
Real-time MRI lungs images revealing using Hybrid feedforward Deep Neural Network and Convolutional Neural Network11
I2R: Intra and inter-modal representation learning for code search10
Tree based Ensemble for Enhanced Prediction (TEEP) of epileptic seizures9
Generate custom travel magazine layouts8
Machine learning application in the ex-combatant demobilization process on the Colombian armed conflict8
A fast method for discovering suitable number of clusters for fuzzy clustering7
Filter pruning via feature map clustering7
Ordination-based verification of feature selection in pattern evolution research7
Bagging k-dependence Bayesian network classifiers7
A fast and distributed C4.5 algorithm for urban big data6
Robust partial face recognition using multi-label attributes6
Combining pattern-based CRFs and weighted context-free grammars6
Finding reinforced structural hole spanners in social networks via node embedding6
An improved YOLOv3 model for detecting location information of ovarian cancer from CT images6
Wide & deep generative adversarial networks for recommendation system6
Multi-view hybrid recommendation model based on deep learning6
W-MMP2Vec: Topic-driven network embedding model for link prediction in content-based heterogeneous information network6
Forecasting emergency department admissions6
Multidimensional indexing technique for medical images retrieval5
Editorial5
Trajectory personalization privacy preservation method based on multi-sensitivity attribute generalization and local suppression5
Intelligent data integration from heterogeneous relational databases containing incomplete and uncertain information5
Editorial5
IACN: Interactive attention capsule network for similar case matching5
A resistance outlier sampling algorithm for imbalanced data prediction4
A feature-aware long-short interest evolution network for sequential recommendation4
Knowledge graph embedding in a uniform space4
Editorial4
Secured finance handling for supply chain integrated business intelligence using blockchain application scenarios4
Mining multiplex interaction relationships from usage records in social networks4
RBSP-Boosting: A Shapley value-based resampling approach for imbalanced data classification4
Editorial4
Methods for detecting and correcting contextual data quality problems4
TSPS: A Topic based Shortest Path Set algorithm for influence maximization4
An efficient intrusion detection method using federated transfer learning and support vector machine with privacy-preserving4
SARW: Similarity-Aware Random Walk for GCN4
Effectiveness of ELMo embeddings, and semantic models in predicting review helpfulness4
Credit scoring based on a Bagging-cascading boosted decision tree4
Heterogeneous information fusion based graph collaborative filtering recommendation4
Privacy preserving defect prediction using generalization and entropy-based data reduction4
Detection of multi-size peach in orchard using RGB-D camera combined with an improved DEtection Transformer model3
Evaluating semantic representations for extended association rules3
Identifying longevity profiles from longitudinal data through factor analysis and biclustering3
Unsupervised feature extraction from multivariate time series for outlier detection3
ViSSR: A visual analytics system for student high-order social relationships at campus3
Editorial3
TextureMask: A merged architecture for low-resolution instance segmentation3
cd-MBRec: Enhancing multi-behavior recommendation by explicitly modeling commonality and diversity3
Attribute interaction aware matrix factorization method for recommendation3
Learning traffic as videos: A spatio-temporal VAE approach to periodic traffic raster data imputation3
A dual-ways feature fusion mechanism enhancing active learning based on TextCNN3
Differential evolution algorithm-based multiple-factor optimization methods for data assimilation3
A deep learning-based neural style transfer optimization approach3
Stable top-k periodic high-utility patterns mining over multi-sequence3
Heuristics for the two-dimensional cutting stock problem with usable leftover3
Stacked collaborative transformer network with contrastive learning for video moment localization3
Forecast combination with multivariate grey prediction for tourism demand forecasting3
Sampleformer: An efficient conformer-based Neural Network for Automatic Speech Recognition3
A Relief-PGS algorithm for feature selection and data classification3
Exploiting the implicit independence assumption for learning directed graphical models3
TLSTSRec: Time-aware long short-term attention neural network for sequential recommendation3
HFD: Hierarchical feature decoupling for SQL generation from text3
ORBoost: An Orthogonal AdaBoost3
Machine learning based car accident risk prediction for usage-based insurance3
Two stages data mining analytics for food intentional and behavioral recommendations3
Products ranking through two-stage online customer reviews information3
An adaptive simulated annealing and artificial fish swarm algorithm for the optimization of multi-depot express delivery vehicle routing2
Editorial2
Efficient modal-aware feature learning with application in multimodal hashing2
A multi-layer multi-view stacking model for credit risk assessment2
Efficient computation of target-oriented link criticalness centrality in uncertain graphs2
Event-related desynchronization detection and electroencephalography motor imagery classification using vision transformer2
Dementia prediction using novel IOTM (Internet of Things in Medical) architecture framework2
A systematic review on recommendation systems applied to chronic diseases2
Clustering based on adaptive local density with evidential assigning strategy2
Inferring student social link from spatiotemporal behavior data via entropy-based analyzing model2
Information granularity-based incremental feature selection for partially labeled hybrid data2
Topic discovery from short reviews based on data enhancement2
MusicNeXt: Addressing category bias in fused music using musical features and genre-sensitive adjustment layer2
Machine learning and deep learning methods in brain tumor classification: A decade: Systematic literature review2
Predictive modelling of hospital readmission: Evaluation of different preprocessing techniques on machine learning classifiers2
A review on network representation learning with multi-granularity perspective2
From undirected dependence to directed causality: A novel Bayesian learning approach2
Prediction and analysis of chronic epilepsy using electroencephalographic signals on medical internet of things platform2
Modeling data with observers2
An integrative framework for brain tumor segmentation and classification using neuraclassnet2
CBDA: Chaos-based binary dragonfly algorithm for evolutionary feature selection2
Personalized trajectory privacy-preserving method based on sensitive attribute generalization and location perturbation2
An attention network based on feature sequences for cross-domain sentiment classification2
Regression trees with splitting based on changes of dependencies among covariates2
Handling incomplete data classification using imputed feature selected bagging (IFBag) method2
A domain density peak clustering algorithm based on natural neighbor2
An evolutionary approach to extreme individual impact opinions based on time sunk costs2
ADAW: Age decay accuracy weighted ensemble method for drifting data stream mining2
ITeM: Independent temporal motifs to summarize and compare temporal networks2
The prediction of online time series with concept drift based on dynamic intuitionistic fuzzy cognitive map2
Learning binary codes for fast image retrieval with sparse discriminant analysis and deep autoencoders2
Unsupervised multi-source domain adaptation for person re-identification via sample weighting2
A hybrid approach for noise reduction-based optimal classifier using genetic algorithm: A case study in plant disease prediction2
Cross-modality semantic guidance for multi-label image classification2
Parallel power load abnormalities detection using fast density peak clustering with a hybrid canopy-K-means algorithm2
A framework for classifying breast cancer via heterogenetic attention mechanism and optimized feature selection2
Editorial2
CMCEE: A joint learning framework for cascade decoding with multi-feature fusion and conditional enhancement for overlapping event extraction2
Resformer: Combine quadratic linear transformation with efficient sparse Transformer for long-term series forecasting2
Robust face recognition based on a new Kernel-PCA using RRQR factorization2
An improved k-NN anomaly detection framework based on locality sensitive hashing for edge computing environment2
A novel framework to enhance the performance of training distributed deep neural networks2
Robust multi-class feature selection via l2,0-norm regularization minimization2
Parallel double-layer prediction model construction and empirical analysis for enterprise credit assessment2
Comparative observation of changes in natriuretic peptides before and after interventional therapy for congenital heart disease2
Evaluation of end-to-end aspect-based sentiment analysis methods employing novel benchmark dataset for aspect, and opinion review analysis2
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