Andreas Sideras | Document Intelligence Centre of Excellence

andreas.sideras@iit.demokritos.gr
andreas-sideras-1bb98928a
asideras

National Center for Scientific Research Demokritos
Patr. Gregoriou E & Neapoleos Str 27
15341 Agia Paraskevi
Athens, Greece

Andreas Sideras completed his undergraduate studies in Computer Science and Engineering at the University of Ioannina and earned a Master’s degree in Artificial Intelligence through a joint program between NCSR Demokritos and the University of Piraeus (Department of Digital Systems).

He is currently pursuing a PhD in the Department of Digital Systems at the University of Piraeus, co-supervised by NCSR Demokritos, with a focus on anomaly detection in financial data. He has professional experience as a machine learning and software engineer and has been a research assistant at NCSR Demokritos since 2022. His research interests include anomaly detection and multimodal machine learning.

Publications

2024

ICAIF

Bankruptcy Prediction: Data Augmentation, LLMs and the Need for Auditor’s Opinion

Andreas Sideras, Konstantinos Bougiatiotis, Elias Zavitsanos, Georgios Paliouras, and George Vouros

In Proceedings of the 5th ACM International Conference on AI in Finance, Nov 2024

Bib PDF Code Website

@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},
  month = nov,
}

LREC

Dice@ ml-esg-3: Esg impact level and duration inference using llms for augmentation and contrastive learning

Konstantinos Bougiatiotis, Andreas Sideras, Elias Zavitsanos, and Georgios Paliouras

In Proceedings of the Joint Workshop of the 7th Financial Technology and Natural Language Processing, the 5th Knowledge Discovery from Unstructured Data in Financial Services, and the 4th Workshop on Economics and Natural Language Processing@ LREC-COLING 2024, May 2024

Bib PDF

@inproceedings{bougiatiotis2024dice,
  title = {Dice@ ml-esg-3: Esg impact level and duration inference using llms for augmentation and contrastive learning},
  author = {Bougiatiotis, Konstantinos and Sideras, Andreas and Zavitsanos, Elias and Paliouras, Georgios},
  year = {2024},
  month = may,
  booktitle = {Proceedings of the Joint Workshop of the 7th Financial Technology and Natural Language Processing, the 5th Knowledge Discovery from Unstructured Data in Financial Services, and the 4th Workshop on Economics and Natural Language Processing@ LREC-COLING 2024},
  pages = {234--243},
}