On the public citation graph

Advanced Tax Fraud Detection: A Soft-Voting Ensemble Based on GAN and Encoder Architecture

0 signed · 69 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

1 of the 59 references listed on this page is in the Retraction Watch database as retracted (export 2026-11-11): 10.3233/jifs-240028 (notice 2025-04-17).

Dataset join, best-effort; this page does not check the publisher record. Retraction Watch data via Crossref Labs, used with credit; OpenCitations Index (CC0) and Meta (CC BY 4.0); dataset doi:10.7910/DVN/WT8VOA (CC BY 4.0).

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/cjce.24610openalex-snapshot
A multi‐fault diagnosis method based on improved SMOTE for class‐imbalanced data
inferredcites →https://doi.org/10.1007/978-3-031-70924-1_48openalex-snapshot
Enhancing Hyperspectral Image Classification with Bayesian for CNN-GRU Hyperparameter Optimization
inferredcites →https://doi.org/10.1016/0893-6080(95)00107-7openalex-snapshot
Characterization of a Class of Sigmoid Functions with Applications to Neural Networks
inferredcites →https://doi.org/10.1016/j.asoc.2015.07.018openalex-snapshot
An interactive machine-learning-based electronic fraud and abuse detection system in healthcare insurance
inferredcites →https://doi.org/10.1016/j.asoc.2021.107836openalex-snapshot
Deep learning with small datasets: using autoencoders to address limited datasets in construction management
inferredcites →https://doi.org/10.1016/j.cosrev.2021.100378openalex-snapshot
Conceptual and empirical comparison of dimensionality reduction algorithms (PCA, KPCA, LDA, MDS, SVD, LLE, ISOMAP, LE, ICA, t-SNE)
inferredcites →https://doi.org/10.1016/j.dajour.2024.100470openalex-snapshot
A systematic review of hyperparameter optimization techniques in Convolutional Neural Networks
inferredcites →https://doi.org/10.1016/j.dss.2010.08.006openalex-snapshot
The application of data mining techniques in financial fraud detection: A classification framework and an academic review of literature
inferredcites →https://doi.org/10.1016/j.ejpoleco.2020.101922openalex-snapshot
Tax evasion and tax morale: A social network analysis
inferredcites →https://doi.org/10.1016/j.eswa.2012.01.204openalex-snapshot
Using data mining technique to enhance tax evasion detection performance
inferredcites →https://doi.org/10.1016/j.eswa.2021.116409openalex-snapshot
Tax evasion risk management using a Hybrid Unsupervised Outlier Detection method
inferredcites →https://doi.org/10.1016/j.eswa.2023.120311openalex-snapshot
ENGA: Elastic Net-Based Genetic Algorithm for human action recognition
inferredcites →https://doi.org/10.1016/j.heliyon.2024.e26586openalex-snapshot
Improving classification accuracy of fine-tuned CNN models: Impact of hyperparameter optimization
inferredcites →https://doi.org/10.1016/j.intaccaudtax.2021.100380openalex-snapshot
Ethical behavior, auditing strength, and tax evasion: A worldwide perspective
inferredcites →https://doi.org/10.1016/j.jinteco.2014.12.004openalex-snapshot
Fiscal consolidation with tax evasion and corruption
inferredcites →https://doi.org/10.1016/j.nima.2023.168683openalex-snapshot
Dimensionality reduction and sensitivity improvement for TACTIC Cherenkov data using t-SNE machine learning algorithm
inferredcites →https://doi.org/10.1016/j.procs.2015.04.201openalex-snapshot
Application of Credit Card Fraud Detection: Based on Bagging Ensemble Classifier
inferredcites →https://doi.org/10.1016/j.renene.2023.119700openalex-snapshot
Advanced hyperparameter optimization of deep learning models for wind power prediction
inferredcites →https://doi.org/10.1016/j.techfore.2021.120597openalex-snapshot
Can e-government initiatives alleviate tax evasion? The moderation effect of ICT
inferredcites →https://doi.org/10.1049/icp.2024.2533openalex-snapshot
Privacy-preserving personalised federated learning financial fraud detection
inferredcites →https://doi.org/10.1080/00405000.2021.1950452openalex-snapshot
Classification of colored spun fabric structure based on wavelet decomposition and hierarchical hybrid classifier
inferredcites →https://doi.org/10.1080/19361610.2020.1815491openalex-snapshot
A Financial Fraud Detection Model Based on LSTM Deep Learning Technique
inferredcites →https://doi.org/10.1108/ara-02-2023-0062openalex-snapshot
Detecting future financial statement fraud using a machine learning model in Indonesia: a comparative study
inferredcites →https://doi.org/10.1109/access.2017.2762354openalex-snapshot
Self-Organizing Hierarchical Particle Swarm Optimization of Correlation Filters for Object Recognition
inferredcites →https://doi.org/10.1109/access.2020.3036322openalex-snapshot
Machine Learning for Financial Risk Management: A Survey
inferredcites →https://doi.org/10.1109/access.2021.3052313openalex-snapshot
Investigation of Applying Machine Learning for Watch-List Filtering in Anti-Money Laundering
inferredcites →https://doi.org/10.1109/access.2022.3153478openalex-snapshot
An Analysis on Financial Statement Fraud Detection for Chinese Listed Companies Using Deep Learning
inferredcites →https://doi.org/10.1109/cisce62493.2024.10653353openalex-snapshot
Real-Time Pill Identification for the Visually Impaired Using Deep Learning
inferredcites →https://doi.org/10.1109/compsac48688.2020.00036openalex-snapshot
TTED-PU:A Transferable Tax Evasion Detection Method Based on Positive and Unlabeled Learning
inferredcites →https://doi.org/10.1109/iccis49240.2020.9257635openalex-snapshot
SCNN: A Secure Convolutional Neural Network using Blockchain
inferredcites →https://doi.org/10.1109/icwr57742.2023.10139083openalex-snapshot
Using Supervised Machine Learning Approaches To Detect Fraud In The Banking Transaction Network
inferredcites →https://doi.org/10.1109/intech.2017.8102446openalex-snapshot
Fraud detection in banking using deep reinforcement learning
inferredcites →https://doi.org/10.1109/transai49837.2020.00029openalex-snapshot
Financial Crime & Fraud Detection Using Graph Computing: Application Considerations & Outlook
inferredcites →https://doi.org/10.1117/12.2261439openalex-snapshot
Comparative analysis of zero aliasing logarithmic mapped optimal trade-off correlation filter
inferredcites →https://doi.org/10.1117/12.2262434openalex-snapshot
Fully invariant wavelet enhanced minimum average correlation energy filter for object recognition in cluttered and occluded environments
inferredcites →https://doi.org/10.1117/12.2519497openalex-snapshot
Hardware design of correlation filters for target detection
inferredcites →https://doi.org/10.1117/12.2559540openalex-snapshot
Selection of CPU scheduling dynamically through machine learning
inferredcites →https://doi.org/10.1117/12.2576873openalex-snapshot
Spoof detection for fake biometric images using feature-based techniques
inferredcites →https://doi.org/10.1371/journal.pone.0280316openalex-snapshot
A deep learning approach to private data sharing of medical images using conditional generative adversarial networks (GANs)
inferredcites →https://doi.org/10.1787/g2g77afa-enopenalex-snapshot
Technology Tools to Tackle Tax Evasion and Tax Fraud
inferredcites →https://doi.org/10.20544/horizons.b.04.1.17.p05openalex-snapshot
An overview of the supervised machine learning methods
inferredcites →https://doi.org/10.2139/ssrn.4709193openalex-snapshot
Tax Evasion and Tax Compliance: What Have We Learned from the 100 Most Cited Studies?
inferredcites →https://doi.org/10.2174/1573405616666200423085826openalex-snapshot
An Optimized Approach for Breast Cancer Classification for Histopathological Images Based on Hybrid Feature Set
inferredcites →https://doi.org/10.3233/jifs-212873openalex-snapshot
Classification of data on stacked autoencoder using modified sigmoid activation function
inferredcites →https://doi.org/10.3233/jifs-240028openalex-snapshot
RETRACTED: Hybrid anomaly detection: Leveraging autoencoder for feature learning and random forest neural network for discriminative classification
inferredcites →https://doi.org/10.3390/a17120557openalex-snapshot
Integrating Explanations into CNNs by Adopting Spiking Attention Block for Skin Cancer Detection
inferredcites →https://doi.org/10.3390/diagnostics13152566openalex-snapshot
PPG Signals-Based Blood-Pressure Estimation Using Grid Search in Hyperparameter Optimization of CNN–LSTM
inferredcites →https://doi.org/10.3390/electronics11040662openalex-snapshot
Enhanced Credit Card Fraud Detection Model Using Machine Learning
inferredcites →https://doi.org/10.3390/ijfs11030110openalex-snapshot
Enhancing Financial Fraud Detection through Addressing Class Imbalance Using Hybrid SMOTE-GAN Techniques
inferredcites →https://doi.org/10.3390/info14020092openalex-snapshot
Effective Handling of Missing Values in Datasets for Classification Using Machine Learning Methods
inferredcites →https://doi.org/10.3390/math11081777openalex-snapshot
Auto-Encoders in Deep Learning—A Review with New Perspectives
inferredcites →https://doi.org/10.3390/math12203294openalex-snapshot
An Efficient Fusion Network for Fake News Classification
inferredcites →https://doi.org/10.3390/math12233639openalex-snapshot
MFAN: Multi-Feature Attention Network for Breast Cancer Classification
inferredcites →https://doi.org/10.3390/risks7010029openalex-snapshot
Machine Learning in Banking Risk Management: A Literature Review
inferredcites →https://doi.org/10.3390/rs15082183openalex-snapshot
KaRIn Noise Reduction Using a Convolutional Neural Network for the SWOT Ocean Products
inferredcites →https://doi.org/10.3390/s20236793openalex-snapshot
Pearson Correlation-Based Feature Selection for Document Classification Using Balanced Training
inferredcites →https://doi.org/10.33919/jcal.23.1.1openalex-snapshot
Text Data Augmentation Using Generative Adversarial Networks – A Systematic Review
inferredcites →https://doi.org/10.48550/arxiv.1610.09585openalex-snapshot
Conditional Image Synthesis With Auxiliary Classifier GANs
inferredcites →https://doi.org/10.5281/zenodo.5539503openalex-snapshot
Visual Person Identification Device using Raspberry Pi

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1016/j.compeleceng.2026.111110openalex-snapshot
Artificial intelligence methods for financial market prediction: A systematic review
inferred← citeshttps://doi.org/10.1109/iccpct70290.2026.11654785openalex-snapshot
A Double Layer Stacking Classifier Based Explainable Tax Evasion Fraud Prediction with Optuna and SMOTE-Tomek
inferred← citeshttps://doi.org/10.1109/iciics67880.2026.11483629openalex-snapshot
A Comprehensive Analysis on Smart Tax Management Systems Using Data Mining Algorithms and Applications
inferred← citeshttps://doi.org/10.2139/ssrn.5481992openalex-snapshot
A Comprehensive Systematic Review of AI Algorithms for Financial Market Prediction: From Machine Learning to Transformers
inferred← citeshttps://doi.org/10.3390/ai6070143openalex-snapshot
Designing Artificial Intelligence: Exploring Inclusion, Diversity, Equity, Accessibility, and Safety in Human-Centric Emerging Technologies
inferred← citeshttps://doi.org/10.3390/app16104682openalex-snapshot
Random Forest Deep Ensemble for Tax Audit Case Selection
inferred← citeshttps://doi.org/10.3390/jrfm19070513openalex-snapshot
Artificial Intelligence in Tax Compliance and Evasion Mitigation: Trends, Mechanisms, and Institutional Implications
inferred← citeshttps://doi.org/10.3390/jrfm19090673openalex-snapshot
Artificial Intelligence and Machine Learning Approaches for Tax Fraud Detection: A Systematic Literature Review and Research Agenda
inferred← citeshttps://doi.org/10.3390/jrfm19090718openalex-snapshot
VERITAS: A Verified-Data Machine Learning Approach to Segment-Specific Tax Audit Planning
inferred← citeshttps://doi.org/10.3390/jrfm19090723openalex-snapshot
A Machine Learning Framework for Predicting Tax Payment Arrears: Comparative Model Evaluation and Shapley-Value Interpretability
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.