Marco Schreyer

Orcid: 0009-0001-3800-2226

According to our database1, Marco Schreyer authored at least 18 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
GraphGuard: Contrastive Self-Supervised Learning for Credit-Card Fraud Detection in Multi-Relational Dynamic Graphs.
CoRR, 2024

FedTabDiff: Federated Learning of Diffusion Probabilistic Models for Synthetic Mixed-Type Tabular Data Generation.
CoRR, 2024

2023
FinDiff: Diffusion Models for Financial Tabular Data Generation.
Proceedings of the 4th ACM International Conference on AI in Finance, 2023

2022
Federated Continual Learning to Detect Accounting Anomalies in Financial Auditing.
CoRR, 2022

Federated and Privacy-Preserving Learning of Accounting Data in Financial Statement Audits.
Proceedings of the 3rd ACM International Conference on AI in Finance, 2022

RESHAPE: Explaining Accounting Anomalies in Financial Statement Audits by enhancing SHapley Additive exPlanations.
Proceedings of the 3rd ACM International Conference on AI in Finance, 2022

2021
Continual Learning for Unsupervised Anomaly Detection in Continuous Auditing of Financial Accounting Data.
CoRR, 2021

Multi-view contrastive self-supervised learning of accounting data representations for downstream audit tasks.
Proceedings of the ICAIF'21: 2nd ACM International Conference on AI in Finance, Virtual Event, November 3, 2021

2020
Leaking Sensitive Financial Accounting Data in Plain Sight using Deep Autoencoder Neural Networks.
CoRR, 2020

Learning Sampling in Financial Statement Audits using Vector Quantised Autoencoder Neural Networks.
CoRR, 2020

Learning sampling in financial statement audits using vector quantised variational autoencoder neural networks.
Proceedings of the ICAIF '20: The First ACM International Conference on AI in Finance, 2020

2019
Adversarial Learning of Deepfakes in Accounting.
CoRR, 2019

Detection of Accounting Anomalies in the Latent Space using Adversarial Autoencoder Neural Networks.
CoRR, 2019

2017
Detection of Anomalies in Large Scale Accounting Data using Deep Autoencoder Networks.
CoRR, 2017

2010
Automatic counterfeit protection system code classification.
Proceedings of the Media Forensics and Security II, 2010

2009
Intelligent Printing Technique Recognition and Photocopy Detection for Forensic Document Examination.
Proceedings of the Informatiktage 2009, 2009

Using DCT Features for Printing Technique and Copy Detection.
Proceedings of the Advances in Digital Forensics V, 2009

2008
Evaluation of Graylevel-Features for Printing Technique Classification in High-Throughput Document Management Systems.
Proceedings of the Computational Forensics, Second International Workshop, 2008


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