Document Intelligence Centre of Excellence

@inproceedings{sideras2024bankruptcy,
  title = {Bankruptcy Prediction: Data Augmentation, LLMs and the Need for Auditor's Opinion},
  author = {Sideras, Andreas and Bougiatiotis, Konstantinos and Zavitsanos, Elias and Paliouras, Georgios and Vouros, George},
  year = {2024},
  booktitle = {Proceedings of the 5th ACM International Conference on AI in Finance},
  pages = {453--460},
}

@article{zavitsanos2024entrant,
  title = {Entrant: A large financial dataset for table understanding},
  author = {Zavitsanos, Elias and Mavroeidis, Dimitris and Spyropoulou, Eirini and Fergadiotis, Manos and Paliouras, Georgios},
  year = {2024},
  journal = {Scientific Data},
  publisher = {Nature Publishing Group UK London},
  volume = {11},
  number = {1},
  pages = {876},
}

@article{10.1145/3723157,
  title = {Machine Learning for Identifying Risk in Financial Statements: A Survey},
  author = {Zavitsanos, Elias and Spyropoulou, Eirini and Giannakopoulos, George and Paliouras, Georgios},
  year = {2025},
  month = mar,
  journal = {ACM Comput. Surv.},
  publisher = {Association for Computing Machinery},
  address = {New York, NY, USA},
  doi = {10.1145/3723157},
  issn = {0360-0300},
  url = {https://doi.org/10.1145/3723157},
  note = {Just Accepted},
  keywords = {risk assessment, misstatement detection, financial distress, bankruptcy prediction, fraud detection, financial reports, financial statements, machine learning, data mining, auditing},
}