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Timur Sattarov
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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
1332017
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
442019
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
392019
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
132022
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
132021
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
132020
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
92023
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
72022
Explaining Anomalies using Denoising Autoencoders for Financial Tabular Data
T Sattarov, D Herurkar, J Hees
ICAIF Workshop on Explainable AI in Finance (XAIFIN2022), 2022
72022
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
22023
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
12024
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
12018
Explaining Anomalies using Denoising
T Sattarov, D Herurkar, J Hees
2023
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