SDQNET: Semantic Distributed Querying in Loosely Coupled Data Sources. - Eirini Spyropoulou; Theodore Dalamagas 001 (ADBIS, 2006)

A framework for mining interesting pattern sets. - Tijl De Bie; Kleanthis-Nikolaos Kontonasios; Eirini Spyropoulou (SIGKDD Explor., 2010)

Interesting Multi-relational Patterns. - Eirini Spyropoulou; Tijl De Bie (ICDM, 2011)

Knowledge discovery interestingness measures based on unexpectedness. - Kleanthis-Nikolaos Kontonasios; Eirini Spyropoulou; Tijl De Bie (WIREs Data Mining Knowl. Discov., 2012)

Mining Interesting Patterns in Multi-relational Data with N-ary Relationships. - Eirini Spyropoulou; Tijl De Bie; Mario Boley (Discovery Science, 2013)

A Theoretical Framework for Exploratory Data Mining: Recent Insights and Challenges Ahead. - Tijl De Bie; Eirini Spyropoulou (ECML/PKDD (3), 2013)

Mining approximate multi-relational patterns. - Eirini Spyropoulou; Tijl De Bie (DSAA, 2014)

Interesting pattern mining in multi-relational data. - Eirini Spyropoulou; Tijl De Bie; Mario Boley (Data Min. Knowl. Discov., 2014)

Supply and demand of independent UK music artists on the web. - Matt McVicar; Cédric Mesnage; Jefrey Lijffijt; Eirini Spyropoulou; Tijl De Bie (WebSci, 2015)

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)

Subjective interestingness of subgraph patterns. - Matthijs van Leeuwen; Tijl De Bie; Eirini Spyropoulou; Cédric Mesnage (Mach. Learn., 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)

Financial misstatement detection: a realistic evaluation. - Elias Zavitsanos; Dimitris Mavroeidis; Konstantinos Bougiatiotis; Eirini Spyropoulou; Lefteris Loukas; Georgios Paliouras (ICAIF, 2021)

FiNER: Financial Numeric Entity Recognition for XBRL Tagging. - Lefteris Loukas; Manos Fergadiotis; Ilias Chalkidis; Eirini Spyropoulou; Prodromos Malakasiotis; Ion Androutsopoulos; Georgios Paliouras (ACL (1), 2022)

TransChem: Effective Pre-training Enhances Molecular Property Prediction. - Dimitrios Kelesis; Eirini Spyropoulou; Elias Zavitsanos (SETN, 2024)

ENTRANT: A Large Financial Dataset for Table Understanding. - Elias Zavitsanos; Dimitris Mavroeidis; Eirini Spyropoulou; Manos Fergadiotis; Georgios Paliouras (Zenodo, 2024)

Machine Learning for Identifying Risk in Financial Statements: A Survey. - Elias Zavitsanos; Eirini Spyropoulou; George Giannakopoulos; Georgios Paliouras (ACM Comput. Surv., 2025)