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UC Berkeley, Simons Institute for the Theory of Computing
2026–
Publications
(13)
Learning to Filter Unsolicited Commercial E-Mail
2006
178
cited
BayesStore: managing large, uncertain data repositories with probabilistic graphical models
Proceedings of the VLDB Endowment · 2008
174
cited
Filtron: A Learning-Based Anti-Spam Filter
International Conference on Email and Anti-Spam · 2004
73
cited
Spectral counting of triangles via element-wise sparsification and triangle-based link recommendation
Social Network Analysis and Mining · 2011
69
cited
Probabilistic Data Management for Pervasive Computing: The Data Furnace Project
IEEE Data Engineering Bulletin · 2006
47
cited
Uncertainty management in rule-based information extraction systems
SIGMOD Conference · 2009
38
cited
Probabilistic declarative information extraction
IEEE International Conference on Data Engineering · 2010
28
cited
Spectral Counting of Triangles in Power-Law Networks via Element-Wise Sparsification
2009 International Conference on Advances in Social Network Analysis and Mining · 2009
26
cited
Probabilistic Fuzzy Logic based Stock Price Prediction
2013
12
cited
Declarative Information Extraction in a Probabilistic Database System
2009
5
cited
Probabilistic Complex Event Triggering
2009
5
cited
Analysis of Relationship between Blood Stream Infection and Clinical Background in Patients' Lactobacillus Therapy by Data Mining
Seventh IEEE International Conference on Data Mining Workshops (ICDMW 2007) · 2007
2
cited
Granularity Conscious Modeling for Probabilistic Databases
Seventh IEEE International Conference on Data Mining Workshops (ICDMW 2007) · 2007
2
cited
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Eirinaios Michelakis | Researcher Profile | Sotabase | Sotabase