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2020 – today
- 2023
[j4]Eneldo Loza Mencía, Moritz Kulessa, Simon Bohlender, Johannes Fürnkranz
:
Tree-based dynamic classifier chains. Mach. Learn. 112(11): 4129-4165 (2023)- 2022
- [i8]Florian Busch, Moritz Kulessa, Eneldo Loza Mencía, Hendrik Blockeel:
Combining Predictions under Uncertainty: The Case of Random Decision Trees. CoRR abs/2208.07403 (2022) - 2021
- [j3]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): 32 (2021) - [j2]Michael Rapp, Moritz Kulessa, Eneldo Loza Mencía, Johannes Fürnkranz:
Correlation-Based Discovery of Disease Patterns for Syndromic Surveillance. Frontiers Big Data 4: 784159 (2021) - [c6]Moritz Kulessa, Bennet Wittelsbach, Eneldo Loza Mencía, Johannes Fürnkranz:
Sum-Product Networks for Early Outbreak Detection of Emerging Diseases. AIME 2021: 61-71 - [c5]Florian Busch, Moritz Kulessa, Eneldo Loza Mencía, Hendrik Blockeel:
Combining Predictions Under Uncertainty: The Case of Random Decision Trees. DS 2021: 78-93 - [c4]Moritz Kulessa, Eneldo Loza Mencía, Johannes Fürnkranz:
Revisiting Non-specific Syndromic Surveillance. IDA 2021: 128-140 - [i7]Moritz Kulessa, Eneldo Loza Mencía, Johannes Fürnkranz:
Revisiting Non-Specific Syndromic Surveillance. CoRR abs/2101.12246 (2021) - [i6]Michael Rapp, Moritz Kulessa, Eneldo Loza Mencía, Johannes Fürnkranz:
Correlation-based Discovery of Disease Patterns for Syndromic Surveillance. CoRR abs/2110.09208 (2021) - [i5]Eneldo Loza Mencía, Moritz Kulessa, Simon Bohlender, Johannes Fürnkranz:
Tree-Based Dynamic Classifier Chains. CoRR abs/2112.06672 (2021) - 2020
- [j1]Benjamin Hilprecht, Andreas Schmidt, Moritz Kulessa, Alejandro Molina, Kristian Kersting, Carsten Binnig:
DeepDB: Learn from Data, not from Queries! Proc. VLDB Endow. 13(7): 992-1005 (2020) - [c3]Simon Bohlender, Eneldo Loza Mencía, Moritz Kulessa:
Extreme Gradient Boosted Multi-label Trees for Dynamic Classifier Chains. DS 2020: 471-485 - [i4]Simon Bohlender, Eneldo Loza Mencía, Moritz Kulessa:
Extreme Gradient Boosted Multi-label Trees for Dynamic Classifier Chains. CoRR abs/2006.08094 (2020)
2010 – 2019
- 2019
- [c2]Moritz Kulessa, Eneldo Loza Mencía, Johannes Fürnkranz:
Improving the Fusion of Outbreak Detection Methods with Supervised Learning. CIBB 2019: 55-66 - [i3]Moritz Kulessa, Eneldo Loza Mencía, Johannes Fürnkranz:
Improving Outbreak Detection with Stacking of Statistical Surveillance Methods. CoRR abs/1907.07464 (2019) - [i2]Benjamin Hilprecht, Andreas Schmidt, Moritz Kulessa, Alejandro Molina, Kristian Kersting, Carsten Binnig:
DeepDB: Learn from Data, not from Queries! CoRR abs/1909.00607 (2019) - 2018
- [c1]Moritz Kulessa, Eneldo Loza Mencía:
Dynamic Classifier Chain with Random Decision Trees. DS 2018: 33-50 - [i1]Moritz Kulessa, Alejandro Molina, Carsten Binnig, Benjamin Hilprecht, Kristian Kersting:
Model-based Approximate Query Processing. CoRR abs/1811.06224 (2018)
Coauthor Index
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last updated on 2023-11-11 03:19 CET by the dblp team
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