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2020 – today
- 2023
[i3]Elias Zavitsanos, Dimitris Mavroeidis, Konstantinos Bougiatiotis, Eirini Spyropoulou, Lefteris Loukas, Georgios Paliouras:
Financial misstatement detection: a realistic evaluation. CoRR abs/2305.17457 (2023)- 2022
- [c9]Lefteris Loukas
, Manos Fergadiotis, Ilias Chalkidis, Eirini Spyropoulou, Prodromos Malakasiotis, Ion Androutsopoulos, Georgios Paliouras:
FiNER: Financial Numeric Entity Recognition for XBRL Tagging. ACL (1) 2022: 4419-4431 - [i2]Lefteris Loukas, Manos Fergadiotis, Ilias Chalkidis, Eirini Spyropoulou, Prodromos Malakasiotis, Ion Androutsopoulos, Georgios Paliouras:
FiNER: Financial Numeric Entity Recognition for XBRL Tagging. CoRR abs/2203.06482 (2022) - 2021
- [c8]Elias Zavitsanos, Dimitris Mavroeidis, Konstantinos Bougiatiotis, Eirini Spyropoulou, Lefteris Loukas, Georgios Paliouras:
Financial misstatement detection: a realistic evaluation. ICAIF 2021: 34:1-34:9
2010 – 2019
- 2016
- [j6]Jefrey Lijffijt, Eirini Spyropoulou, Bo Kang, Tijl De Bie:
P-N-RMiner: a generic framework for mining interesting structured relational patterns. Int. J. Data Sci. Anal. 1(1): 61-76 (2016) - [j5]Matthijs van Leeuwen, Tijl De Bie, Eirini Spyropoulou, Cédric Mesnage:
Subjective interestingness of subgraph patterns. Mach. Learn. 105(1): 41-75 (2016) - [j4]Matt McVicar, Benjamin Sach, Cédric Mesnage, Jefrey Lijffijt, Eirini Spyropoulou, Tijl De Bie:
SuMoTED: An intuitive edit distance between rooted unordered uniquely-labelled trees. Pattern Recognit. Lett. 79: 52-59 (2016) - 2015
- [c7]Jefrey Lijffijt, Eirini Spyropoulou, Bo Kang, Tijl De Bie:
P-N-RMiner: A generic framework for mining interesting structured relational patterns. DSAA 2015: 1-10 - [c6]Matt McVicar, Cédric Mesnage, Jefrey Lijffijt, Eirini Spyropoulou, Tijl De Bie:
Supply and demand of independent UK music artists on the web. WebSci 2015: 48:1-48:2 - 2014
- [j3]Eirini Spyropoulou, Tijl De Bie, Mario Boley:
Interesting pattern mining in multi-relational data. Data Min. Knowl. Discov. 28(3): 808-849 (2014) - [c5]Eirini Spyropoulou, Tijl De Bie:
Mining approximate multi-relational patterns. DSAA 2014: 477-483 - 2013
- [c4]Eirini Spyropoulou, Tijl De Bie, Mario Boley:
Mining Interesting Patterns in Multi-relational Data with N-ary Relationships. Discovery Science 2013: 217-232 - [c3]Tijl De Bie, Eirini Spyropoulou:
A Theoretical Framework for Exploratory Data Mining: Recent Insights and Challenges Ahead. ECML/PKDD (3) 2013: 612-616 - 2012
- [j2]Kleanthis-Nikolaos Kontonasios, Eirini Spyropoulou, Tijl De Bie:
Knowledge discovery interestingness measures based on unexpectedness. WIREs Data Mining Knowl. Discov. 2(5): 386-399 (2012) - 2011
- [c2]Eirini Spyropoulou, Tijl De Bie:
Interesting Multi-relational Patterns. ICDM 2011: 675-684 - [i1]Eirini Spyropoulou, Tijl De Bie:
Interesting Multi-Relational Patterns. CoRR abs/1106.4475 (2011) - 2010
- [j1]Tijl De Bie, Kleanthis-Nikolaos Kontonasios, Eirini Spyropoulou:
A framework for mining interesting pattern sets. SIGKDD Explor. 12(2): 92-100 (2010)
2000 – 2009
- 2006
- [c1]Eirini Spyropoulou, Theodore Dalamagas:
SDQNET: Semantic Distributed Querying in Loosely Coupled Data Sources. ADBIS 2006: 55-70
Coauthor Index
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