Eirini Spyropoulou

According to our database, Eirini Spyropoulou authored at least 14 papers between 2006 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

FiNER: Financial Numeric Entity Recognition for XBRL Tagging.

Lefteris Loukas, Manos Fergadiotis, Ilias Chalkidis, Eirini Spyropoulou, Prodromos Malakasiotis, Ion Androutsopoulos, Georgios Paliouras

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Financial misstatement detection: a realistic evaluation.

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

Proceedings of the ICAIF'21: 2nd ACM International Conference on AI in Finance, Virtual Event, November 3, 2021

2016

SuMoTED: An intuitive edit distance between rooted unordered uniquely-labelled trees.

Matt McVicar, Benjamin Sach, Cédric Mesnage, Jefrey Lijffijt, Eirini Spyropoulou, Tijl De Bie

Pattern Recognit. Lett., 2016

Subjective interestingness of subgraph patterns.

Matthijs van Leeuwen, Tijl De Bie, Eirini Spyropoulou, Cédric Mesnage

Mach. Learn., 2016

P-N-RMiner: a generic framework for mining interesting structured relational patterns.

Jefrey Lijffijt, Eirini Spyropoulou, Bo Kang, Tijl De Bie

Int. J. Data Sci. Anal., 2016

2015

Supply and demand of independent UK music artists on the web.

Matt McVicar, Cédric Mesnage, Jefrey Lijffijt, Eirini Spyropoulou, Tijl De Bie

Proceedings of the ACM Web Science Conference, 2015

2014

Interesting pattern mining in multi-relational data.

Eirini Spyropoulou, Tijl De Bie, Mario Boley

Data Min. Knowl. Discov., 2014

Mining approximate multi-relational patterns.

Eirini Spyropoulou, Tijl De Bie

Proceedings of the International Conference on Data Science and Advanced Analytics, 2014

2013

A Theoretical Framework for Exploratory Data Mining: Recent Insights and Challenges Ahead.

Tijl De Bie, Eirini Spyropoulou

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Mining Interesting Patterns in Multi-relational Data with N-ary Relationships.

Eirini Spyropoulou, Tijl De Bie, Mario Boley

Proceedings of the Discovery Science - 16th International Conference, 2013

2012

Knowledge discovery interestingness measures based on unexpectedness.

Kleanthis-Nikolaos Kontonasios, Eirini Spyropoulou, Tijl De Bie

WIREs Data Mining Knowl. Discov., 2012

2011

Interesting Multi-relational Patterns.

Eirini Spyropoulou, Tijl De Bie

Proceedings of the 11th IEEE International Conference on Data Mining, 2011

2010

A framework for mining interesting pattern sets.

Tijl De Bie, Kleanthis-Nikolaos Kontonasios, Eirini Spyropoulou

SIGKDD Explor., 2010

2006

SDQNET: Semantic Distributed Querying in Loosely Coupled Data Sources.

Eirini Spyropoulou, Theodore Dalamagas

Proceedings of the Advances in Databases and Information Systems, 2006