Filtron: A Learning-Based Anti-Spam Filter. - Eirinaios Michelakis; Ion Androutsopoulos; Georgios Paliouras; Georgios Sakkis; Panagiotis Stamatopoulos (CEAS, 2004)

Probabilistic Data Management for Pervasive Computing: The Data Furnace Project. - Minos N. Garofalakis; Kurt P. Brown; Michael J. Franklin; Joseph M. Hellerstein; Daisy Zhe Wang; Eirinaios Michelakis; Liviu Tancau; Eugene Wu 002; Shawn R. Jeffery; Ryan Aipperspach (IEEE Data Eng. Bull., 2006)

Granularity Conscious Modeling for Probabilistic Databases. - Eirinaios Michelakis; Daisy Zhe Wang; Minos N. Garofalakis; Joseph M. Hellerstein (ICDM Workshops, 2007)

BayesStore: managing large, uncertain data repositories with probabilistic graphical models. - Daisy Zhe Wang; Eirinaios Michelakis; Minos N. Garofalakis; Joseph M. Hellerstein (Proc. VLDB Endow., 2008)

Spectral Counting of Triangles in Power-Law Networks via Element-Wise Sparsification. - Charalampos E. Tsourakakis; Petros Drineas; Eirinaios Michelakis; Ioannis Koutis; Christos Faloutsos (ASONAM, 2009)

Uncertainty management in rule-based information extraction systems. - Eirinaios Michelakis; Rajasekar Krishnamurthy; Peter J. Haas; Shivakumar Vaithyanathan (SIGMOD Conference, 2009)

Probabilistic declarative information extraction. - Daisy Zhe Wang; Eirinaios Michelakis; Michael J. Franklin; Minos N. Garofalakis; Joseph M. Hellerstein (ICDE, 2010)

Spectral counting of triangles via element-wise sparsification and triangle-based link recommendation. - Charalampos E. Tsourakakis; Petros Drineas; Eirinaios Michelakis; Ioannis Koutis; Christos Faloutsos (Soc. Netw. Anal. Min., 2011)