FiNER: Financial numeric entity recognition for XBRL tagging L Loukas, M Fergadiotis, I Chalkidis, E Spyropoulou, P Malakasiotis, ... arXiv preprint arXiv:2203.06482, 2022 | 70 | 2022 |
Interesting pattern mining in multi-relational data E Spyropoulou, T De Bie, M Boley Data Mining and Knowledge Discovery 28 (3), 808-849, 2014 | 51 | 2014 |
Subjective interestingness of subgraph patterns M van Leeuwen, T De Bie, E Spyropoulou, C Mesnage Machine Learning 105, 41-75, 2016 | 48 | 2016 |
Knowledge discovery interestingness measures based on unexpectedness KN Kontonasios, E Spyropoulou, T De Bie Wiley interdisciplinary reviews: data mining and knowledge discovery 2 (5 …, 2012 | 43 | 2012 |
A framework for mining interesting pattern sets T De Bie, KN Kontonasios, E Spyropoulou ACM SIGKDD Explorations Newsletter 12 (2), 92-100, 2011 | 41 | 2011 |
Interesting multi-relational patterns E Spyropoulou, T De Bie 2011 IEEE 11th International Conference on Data Mining, 675-684, 2011 | 35 | 2011 |
Pn-rminer: a generic framework for mining interesting structured relational patterns J Lijffijt, E Spyropoulou, B Kang, T De Bie International Journal of Data Science and Analytics 1, 61-76, 2016 | 16 | 2016 |
SuMoTED: An intuitive edit distance between rooted unordered uniquely-labelled trees M McVicar, B Sach, C Mesnage, J Lijffijt, E Spyropoulou, T De Bie Pattern Recognition Letters 79, 52-59, 2016 | 15 | 2016 |
Mining interesting patterns in multi-relational data with n-ary relationships E Spyropoulou, T De Bie, M Boley International Conference on Discovery Science, 217-232, 2013 | 13 | 2013 |
A theoretical framework for exploratory data mining: Recent insights and challenges ahead T De Bie, E Spyropoulou Machine Learning and Knowledge Discovery in Databases: European Conference …, 2013 | 12 | 2013 |
Financial misstatement detection: a realistic evaluation E Zavitsanos, D Mavroeidis, K Bougiatiotis, E Spyropoulou, L Loukas, ... Proceedings of the Second ACM International Conference on AI in Finance, 1-9, 2021 | 9 | 2021 |
Mining approximate multi-relational patterns E Spyropoulou, T De Bie 2014 International Conference on Data Science and Advanced Analytics (DSAA …, 2014 | 8 | 2014 |
Sdqnet: Semantic distributed querying in loosely coupled data sources E Spyropoulou, T Dalamagas East European Conference on Advances in Databases and Information Systems, 55-70, 2006 | 6 | 2006 |
Entrant: A large financial dataset for table understanding E Zavitsanos, D Mavroeidis, E Spyropoulou, M Fergadiotis, G Paliouras Scientific Data 11 (1), 876, 2024 | 3 | 2024 |
Mining interesting patterns in multi-relational data E Spyropoulou, T De Bie, B Mario | 3 | 2013 |
Supply and demand of independent UK music artists on the web M McVicar, C Mesnage, J Lijffijt, E Spyropoulou, T De Bie Proceedings of the ACM Web Science Conference, 1-2, 2015 | 2 | 2015 |
Tijl De Bie, and Mario Boley (2013).“Interesting pattern mining in multirelational data”. English E Spyropoulou Data Min. Knowl. Discov. April, 1-42, 0 | 2 | |
System and method for automatically tagging documents EP Loukas, E Spyropoulou, P Malakasiotis, E Fergadiotis, I Chalkidis, ... US Patent App. 17/873,932, 2023 | 1 | 2023 |
TransChem: Effective Pre-training Enhances Molecular Property Prediction D Kelesis, E Spyropoulou, E Zavitsanos Proceedings of the 13th Hellenic Conference on Artificial Intelligence, 1-8, 2024 | | 2024 |
Anomaly Detection on User-Agent Strings E Spyropoulou, J Noble, C Anagnostopoulos Data Science for Cyber-Security, 127-143, 2019 | | 2019 |