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Eirinaios Michelakis
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2010 – 2019
- 2011
- [j3]Charalampos E. Tsourakakis, Petros Drineas, Eirinaios Michelakis, Ioannis Koutis, Christos Faloutsos:
Spectral counting of triangles via element-wise sparsification and triangle-based link recommendation. Soc. Netw. Anal. Min. 1(2): 75-81 (2011) - 2010
- [c5]Daisy Zhe Wang, Eirinaios Michelakis, Michael J. Franklin, Minos N. Garofalakis, Joseph M. Hellerstein:
Probabilistic declarative information extraction. ICDE 2010: 173-176
2000 – 2009
- 2009
- [c4]Charalampos E. Tsourakakis, Petros Drineas, Eirinaios Michelakis, Ioannis Koutis, Christos Faloutsos:
Spectral Counting of Triangles in Power-Law Networks via Element-Wise Sparsification. ASONAM 2009: 66-71 - [c3]Eirinaios Michelakis, Rajasekar Krishnamurthy, Peter J. Haas, Shivakumar Vaithyanathan:
Uncertainty management in rule-based information extraction systems. SIGMOD Conference 2009: 101-114 - 2008
- [j2]Daisy Zhe Wang, Eirinaios Michelakis, Minos N. Garofalakis, Joseph M. Hellerstein:
BayesStore: managing large, uncertain data repositories with probabilistic graphical models. Proc. VLDB Endow. 1(1): 340-351 (2008) - 2007
- [c2]Eirinaios Michelakis, Daisy Zhe Wang, Minos N. Garofalakis, Joseph M. Hellerstein:
Granularity Conscious Modeling for Probabilistic Databases. ICDM Workshops 2007: 501-506 - 2006
- [j1]Minos N. Garofalakis, Kurt P. Brown, Michael J. Franklin, Joseph M. Hellerstein, Daisy Zhe Wang, Eirinaios Michelakis, Liviu Tancau, Eugene Wu, Shawn R. Jeffery, Ryan Aipperspach:
Probabilistic Data Management for Pervasive Computing: The Data Furnace Project. IEEE Data Eng. Bull. 29(1): 57-63 (2006) - 2004
- [c1]Eirinaios Michelakis, Ion Androutsopoulos, Georgios Paliouras, Georgios Sakkis, Panagiotis Stamatopoulos:
Filtron: A Learning-Based Anti-Spam Filter. CEAS 2004
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