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Number of items: 5.

Rapp, Michael ; Kulessa, Moritz ; Loza Mencía, Eneldo ; Fürnkranz, Johannes (2022):
Correlation-Based Discovery of Disease Patterns for Syndromic Surveillance. (Publisher's Version)
In: Frontiers in Big Data, 4, Frontiers Media, e-ISSN 2624-909X,
DOI: 10.26083/tuprints-00020807,
[Article]

Kulessa, Moritz ; Mencía, Eneldo Loza ; Fürnkranz, Johannes (2021):
A Unifying Framework and Comparative Evaluation of Statistical and Machine Learning Approaches to Non-Specific Syndromic Surveillance. (Publisher's Version)
In: Computers, 10 (3), MDPI, e-ISSN 2073-431X,
DOI: 10.26083/tuprints-00019322,
[Article]

Hilprecht, Benjamin ; Schmidt, Andreas ; Kulessa, Moritz ; Molina, Alejandro ; Kersting, Kristian ; Binnig, Carsten (2020):
DeepDB: Learn from Data, not from Queries!
46th International Conference on Very Large Data Bases, virtual Conference, 31.08.-04.09.2020, [Conference or Workshop Item]

Hilprecht, Benjamin ; Schmidt, Andreas ; Kulessa, Moritz ; Molina, Alejandro ; Kersting, Kristian ; Binnig, Carsten (2020):
DeepDB: Learn from Data, Not from Queries!
In: Proceedings of the VLDB Endowment, 13 (7), pp. 992-1005. ACM, ISSN 2150-8097,
DOI: 10.14778/3384345.3384349,
[Article]

Kulessa, Moritz ; Hilprecht, Benjamin ; Molina, Alejandro ; Kersting, Kristian ; Binnig, Carsten (2019):
Towards Model-based Approximate Query Processing.
1st International Workshop on Applied AI for Database Systems and Applications (AIDB’19), Los Angeles, USA, 26. August 2019, [Conference or Workshop Item]

This list was generated on Tue Oct 4 00:05:22 2022 CEST.