Moritz Kulessa

Combining Decision Tree Predictions under Consideration of Uncertainty

Johannes Fürnkranz, Tag der Einreichung, Bachelor-Thesis von Florian, 2019 .

Correlation-Based Discovery of Disease Patterns for Syndromic Surveillance

Johannes Fürnkranz, Eneldo Loza Mencía, Moritz Kulessa, 2021, Frontiers in Big Data.

Tree-Based Dynamic Classifier Chains pdf

Johannes Fürnkranz, Moritz Kulessa, Simon Bohlender, 2021, Machine Learning.

DeepDB

Carsten Binnig, Kristian Kersting, Andreas Schmidt, 2019, Proc. VLDB Endow..

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

Johannes Fürnkranz, Eneldo Loza Mencía, Moritz Kulessa, 2021, Comput..

Sum-Product Networks for Early Outbreak Detection of Emerging Diseases

Johannes Fürnkranz, Eneldo Loza Mencía, Moritz Kulessa, 2021, Conference on Artificial Intelligence in Medicine in Europe.

Combining Predictions Under Uncertainty: The Case of Random Decision Trees

Hendrik Blockeel, Eneldo Loza Mencía, Moritz Kulessa, 2022, DS.

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

Eneldo Loza Mencía, Moritz Kulessa, Simon Bohlender, 2020, DS.

Dynamic Classifier Chain with Random Decision Trees

Eneldo Loza Mencía, Moritz Kulessa, E. Mencía, 2018, DS.

Revisiting Non-Specific Syndromic Surveillance

Johannes Fürnkranz, Eneldo Loza Mencía, Moritz Kulessa, 2021, IDA.