| Detection of anomalies in large scale accounting data using deep autoencoder networks M Schreyer, T Sattarov, D Borth, A Dengel, B Reimer arXiv preprint arXiv:1709.05254, 2017 | 133 | 2017 |
| Detection of Accounting Anomalies in the Latent Space using Adversarial Autoencoder Neural Networks M Schreyer, T Sattarov, C Schulze, B Reimer, D Borth KDD 2019 Workshop on Anomaly Detection in Finance, 2019 | 44 | 2019 |
| Adversarial Learning of Deepfakes in Accounting M Schreyer, T Sattarov, B Reimer, D Borth NeurIPS 2019 Workshop on Robust AI in Financial Services: Data, Fairness …, 2019 | 39 | 2019 |
| Federated and Privacy-Preserving Learning of Accounting Data in Financial Statement Audits M Schreyer, T Sattarov, D Borth Proceedings of the Third ACM International Conference on AI in Finance (ICAIF), 2022 | 13 | 2022 |
| Multi-view contrastive self-supervised learning of accounting data representations for downstream audit tasks M Schreyer, T Sattarov, D Borth Proceedings of the Second ACM International Conference on AI in Finance, 1-8, 2021 | 13 | 2021 |
| Learning sampling in financial statement audits using vector quantised variational autoencoder neural networks M Schreyer, T Sattarov, A Gierbl, B Reimer, D Borth Proceedings of the First ACM International Conference on AI in Finance, 1-8, 2020 | 13 | 2020 |
| FinDiff: Diffusion Models for Financial Tabular Data Generation T Sattarov, M Schreyer, D Borth Proceedings of the Fourth ACM International Conference on AI in Finance, 64-72, 2023 | 9 | 2023 |
| RESHAPE: Explaining Accounting Anomalies in Financial Statement Audits by enhancing SHapley Additive exPlanations R Müller, M Schreyer, T Sattarov, D Borth Proceedings of the Third ACM International Conference on AI in Finance, 174-182, 2022 | 7 | 2022 |
| Explaining Anomalies using Denoising Autoencoders for Financial Tabular Data T Sattarov, D Herurkar, J Hees ICAIF Workshop on Explainable AI in Finance (XAIFIN2022), 2022 | 7 | 2022 |
| Cross-Domain Transformation for Outlier Detection on Tabular Datasets D Herurkar, T Sattarov, J Hees, S Palacio, F Raue, A Dengel 2023 International Joint Conference on Neural Networks (IJCNN), 1-8, 2023 | 2 | 2023 |
| FedTabDiff: Federated Learning of Diffusion Probabilistic Models for Synthetic Mixed-Type Tabular Data Generation T Sattarov, M Schreyer, D Borth arXiv preprint arXiv:2401.06263, 2024 | 1 | 2024 |
| Künstliche Intelligenz in der Wirtschaftsprüfung-Identifikation ungewöhnlicher Buchungen in der Finanzbuchhaltung M Schreyer, T Sattarov, D Borth, A Dengel, B Reimer WPg-Die Wirtschaftsprüfung 72 (11), 674-681, 2018 | 1 | 2018 |
| Explaining Anomalies using Denoising T Sattarov, D Herurkar, J Hees | | 2023 |
Damian BorthProfessor of Artificial Intelligence & Machine Learning, University of St. Gallen在 unisg.ch 的电子邮件经过验证
