Konstantinos Bougiatiotis | Document Intelligence Centre of Excellence

bogas.ko@iit.demokritos.gr
bogasko
kbogas
https://kbogas.github.io

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

I am a Ph.D. candidate in Computer Science and my primary focus is data science and machine learning. I hold a research associate position with the Institute of Informatics and Telecommunications of the National Center for Scientific Research “Demokritos”, where I am involved in international projects.

I work along the Software and Knowledge Engineering Laboratory and I conduct research under the guidance of Dr. Georgios Paliouras. I am mostly interested in machine learning, data mining and NLP. Currently, my focus is graph neural networks and their applications on heterogenous/multi-relational graphs, mainly on bio-related data.

I hold a Diploma (5-years combined B.Sc. and M.Sc.) from the school of Electrical and Computer Engineering at the National Technical University of Athens.

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},
}

2023

CNA

Efficient Complex Network Representation Using Prime Numbers

Konstantinos Bougiatiotis, and Georgios Paliouras

In International Conference on Complex Networks and Their Applications, Nov 2023

Bib PDF Code Website

@inproceedings{bougiatiotis2023efficient,
  title = {Efficient Complex Network Representation Using Prime Numbers},
  author = {Bougiatiotis, Konstantinos and Paliouras, Georgios},
  year = {2023},
  month = nov,
  booktitle = {International Conference on Complex Networks and Their Applications},
  pages = {75--86},
  organization = {Springer},
}

IEEE

Identifying going concern issues in auditor opinions: link to bankruptcy events

Konstantinos Bougiatiotis, Elias Zavitsanos, and Georgios Paliouras

In 2023 IEEE International Conference on Big Data (BigData), Dec 2023

Bib PDF Code

@inproceedings{bougiatiotis2023identifying,
  title = {Identifying going concern issues in auditor opinions: link to bankruptcy events},
  author = {Bougiatiotis, Konstantinos and Zavitsanos, Elias and Paliouras, Georgios},
  year = {2023},
  month = dec,
  booktitle = {2023 IEEE International Conference on Big Data (BigData)},
  pages = {2805--2813},
  organization = {IEEE},
}

2021

ICAIF

Financial misstatement detection: a realistic evaluation

Elias Zavitsanos, Dimitris Mavroeidis, Konstantinos Bougiatiotis, Eirini Spyropoulou, Lefteris Loukas, and Georgios Paliouras

In Proceedings of the Second ACM International Conference on AI in Finance, May 2021

Bib PDF

@inproceedings{zavitsanos2021financial,
  title = {Financial misstatement detection: a realistic evaluation},
  author = {Zavitsanos, Elias and Mavroeidis, Dimitris and Bougiatiotis, Konstantinos and Spyropoulou, Eirini and Loukas, Lefteris and Paliouras, Georgios},
  year = {2021},
  month = may,
  booktitle = {Proceedings of the Second ACM International Conference on AI in Finance},
  pages = {1--9},
}