Moritz Kulessa

19 papers B 5Journal 12Unranked 1

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