{"total":18,"rows":[{"id":"2103.12051","title":"SSD: A Unified Framework for Self-Supervised Outlier Detection","created":"2021-03-22","cited_by_count":264,"area":null},{"id":"2211.04208","title":"GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection","created":"2022-11-08","cited_by_count":47,"area":null},{"id":"2109.11201","title":"Multi-view Contrastive Self-Supervised Learning of Accounting Data Representations for Downstream Audit Tasks","created":"2021-09-23","cited_by_count":8,"area":null},{"id":"2208.12708","title":"Federated and Privacy-Preserving Learning of Accounting Data in Financial Statement Audits","created":"2022-08-26","cited_by_count":8,"area":null},{"id":"2112.13215","title":"Continual Learning for Unsupervised Anomaly Detection in Continuous Auditing of Financial Accounting Data","created":"2021-12-25","cited_by_count":7,"area":null},{"id":"2310.02821","title":"Improving Vision Anomaly Detection with the Guidance of Language Modality","created":"2023-10-04","cited_by_count":7,"area":null},{"id":"2209.10658","title":"Explaining Anomalies using Denoising Autoencoders for Financial Tabular Data","created":"2022-09-21","cited_by_count":4,"area":null},{"id":"2210.15051","title":"Federated Continual Learning to Detect Accounting Anomalies in Financial Auditing","created":"2022-10-26","cited_by_count":4,"area":null},{"id":"2501.12723","title":"Anomaly Detection in Double-entry Bookkeeping Data by Federated Learning System with Non-model Sharing Approach","created":"2025-01-22","cited_by_count":4,"area":null},{"id":"2508.00758","title":"Diffusion-Scheduled Denoising Autoencoders for Anomaly Detection in Tabular Data","created":"2025-08-01","cited_by_count":4,"area":null},{"id":"2103.01033","title":"Tax Evasion Risk Management Using a Hybrid Unsupervised Outlier Detection Method","created":"2021-02-25","cited_by_count":3,"area":null},{"id":"2404.14933","title":"Fin-Fed-OD: Federated Outlier Detection on Financial Tabular Data","created":"2024-04-23","cited_by_count":3,"area":null},{"id":"2209.09157","title":"RESHAPE: Explaining Accounting Anomalies in Financial Statement Audits by enhancing SHapley Additive exPlanations","created":"2022-09-19","cited_by_count":2,"area":null},{"id":"2509.19032","title":"Improving Credit Card Fraud Detection through Transformer-Enhanced GAN Oversampling","created":"2025-09-23","cited_by_count":2,"area":null},{"id":"2504.20862","title":"Tabular Data Adapters: Improving Outlier Detection for Unlabeled Private Data","created":"2025-04-29","cited_by_count":1,"area":null},{"id":"2102.10978","title":"Markov model with machine learning integration for fraud detection in health insurance","created":"2021-02-11","cited_by_count":0,"area":null},{"id":"2206.04460","title":"Open ERP System Data For Occupational Fraud Detection","created":"2022-06-09","cited_by_count":0,"area":null},{"id":"2609.18228","title":"Anomaly Detection in General Ledger Data: Results from a Hybrid Approach","created":"2026-09-16","cited_by_count":0,"area":null}],"next_cursor":null}