Moritz Kulessa

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 18

Top Topics

Machine Learning

Approximate Query Processing

Wavelet Synopses

Outbreak Detection

Top Venues

Proc. VLDB Endow.

Publications

Eneldo Loza Mencía, Moritz Kulessa, Simon Bohlender, Johannes Fürnkranz
Tree-based dynamic classifier chains. Mach. Learn. 112 (11) (2023)
Florian Busch, Moritz Kulessa, Eneldo Loza Mencía, Hendrik Blockeel
Combining Predictions under Uncertainty: The Case of Random Decision Trees. CoRR (2022)
Moritz Kulessa, Eneldo Loza Mencía, Johannes Fürnkranz
Revisiting Non-specific Syndromic Surveillance. IDA (2021)
Eneldo Loza Mencía, Moritz Kulessa, Simon Bohlender, Johannes Fürnkranz
Tree-Based Dynamic Classifier Chains. CoRR (2021)
Moritz Kulessa, Eneldo Loza Mencía, Johannes Fürnkranz
Revisiting Non-Specific Syndromic Surveillance. CoRR (2021)
Florian Busch, Moritz Kulessa, Eneldo Loza Mencía, Hendrik Blockeel
Combining Predictions Under Uncertainty: The Case of Random Decision Trees. DS (2021)
Moritz Kulessa, Eneldo Loza Mencía, Johannes Fürnkranz
A Unifying Framework and Comparative Evaluation of Statistical and Machine Learning Approaches to Non-Specific Syndromic Surveillance. Comput. 10 (3) (2021)
Michael Rapp, Moritz Kulessa, Eneldo Loza Mencía, Johannes Fürnkranz
Correlation-Based Discovery of Disease Patterns for Syndromic Surveillance. Frontiers Big Data 4 (2021)
Moritz Kulessa, Bennet Wittelsbach, Eneldo Loza Mencía, Johannes Fürnkranz
Sum-Product Networks for Early Outbreak Detection of Emerging Diseases. AIME (2021)
Michael Rapp, Moritz Kulessa, Eneldo Loza Mencía, Johannes Fürnkranz
Correlation-based Discovery of Disease Patterns for Syndromic Surveillance. CoRR (2021)
Simon Bohlender, Eneldo Loza Mencía, Moritz Kulessa
Extreme Gradient Boosted Multi-label Trees for Dynamic Classifier Chains. DS (2020)
Simon Bohlender, Eneldo Loza Mencía, Moritz Kulessa
Extreme Gradient Boosted Multi-label Trees for Dynamic Classifier Chains. CoRR (2020)
Benjamin Hilprecht, Andreas Schmidt, Moritz Kulessa, Alejandro Molina, Kristian Kersting, Carsten Binnig
DeepDB: Learn from Data, not from Queries! Proc. VLDB Endow. 13 (7) (2020)
Moritz Kulessa, Eneldo Loza Mencía, Johannes Fürnkranz
Improving the Fusion of Outbreak Detection Methods with Supervised Learning. CIBB (2019)
Moritz Kulessa, Eneldo Loza Mencía, Johannes Fürnkranz
Improving Outbreak Detection with Stacking of Statistical Surveillance Methods. CoRR (2019)
Benjamin Hilprecht, Andreas Schmidt, Moritz Kulessa, Alejandro Molina, Kristian Kersting, Carsten Binnig
DeepDB: Learn from Data, not from Queries! CoRR (2019)
Moritz Kulessa, Alejandro Molina, Carsten Binnig, Benjamin Hilprecht, Kristian Kersting
Model-based Approximate Query Processing. CoRR (2018)
Moritz Kulessa, Eneldo Loza Mencía
Dynamic Classifier Chain with Random Decision Trees. DS (2018)