Moritz Kulessa

PhD thesis, 2022

2021

Correlation-Based Discovery of Disease Patterns for Syndromic Surveillance.

[BibT_eX]

[DOI]

Frontiers Big Data, 2021

A Unifying Framework and Comparative Evaluation of Statistical and Machine Learning Approaches to Non-Specific Syndromic Surveillance.

[BibT_eX]

[DOI]

Comput., 2021

Revisiting Non-specific Syndromic Surveillance.

[BibT_eX]

[DOI]

Proceedings of the Advances in Intelligent Data Analysis XIX, 2021

Combining Predictions Under Uncertainty: The Case of Random Decision Trees.

[BibT_eX]

[DOI]

Proceedings of the Discovery Science - 24th International Conference, 2021

Sum-Product Networks for Early Outbreak Detection of Emerging Diseases.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence in Medicine, 2021

2020

DeepDB: Learn from Data, not from Queries!

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2020

Extreme Gradient Boosted Multi-label Trees for Dynamic Classifier Chains.

[BibT_eX]

[DOI]

Simon Bohlender

Proceedings of the Discovery Science - 23rd International Conference, 2020

2019

Improving Outbreak Detection with Stacking of Statistical Surveillance Methods.

[BibT_eX]

[DOI]

CoRR, 2019

Improving the Fusion of Outbreak Detection Methods with Supervised Learning.

[BibT_eX]

[DOI]

Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2019

2018

Model-based Approximate Query Processing.

[BibT_eX]

[DOI]

CoRR, 2018

Dynamic Classifier Chain with Random Decision Trees.

[BibT_eX]

[DOI]