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Moritz Kulessa
Moritz Kulessa
PhD
Zweryfikowany adres z ke.tu-darmstadt.de
Tytuł
Cytowane przez
Cytowane przez
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Deepdb: Learn from data, not from queries!
B Hilprecht, A Schmidt, M Kulessa, A Molina, K Kersting, C Binnig
Very Large Data Bases: 46th International Conference, VLDB 2020, Virtual …, 2020
2132020
Model-based approximate query processing
M Kulessa, A Molina, C Binnig, B Hilprecht, K Kersting
arXiv preprint arXiv:1811.06224, 2018
172018
Dynamic classifier chain with random decision trees
M Kulessa, E Loza Mencía
Discovery Science: 21st International Conference, DS 2018, Limassol, Cyprus …, 2018
142018
Extreme gradient boosted multi-label trees for dynamic classifier chains
S Bohlender, E Loza Mencía, M Kulessa
Discovery Science: 23rd International Conference, DS 2020, Thessaloniki …, 2020
62020
A unifying framework and comparative evaluation of statistical and machine learning approaches to non-specific syndromic surveillance
M Kulessa, E Loza Mencía, J Fürnkranz
Computers 10 (3), 1–32, 2021
52021
Revisiting non-specific syndromic surveillance
M Kulessa, E Loza Mencía, J Fürnkranz
Advances in Intelligent Data Analysis: 19th International Symposium on …, 2021
42021
Correlation-based discovery of disease patterns for syndromic surveillance
M Rapp, M Kulessa, E Loza Mencía, J Fürnkranz
Frontiers in Big Data 4, 1–13, 2022
32022
Tree-based dynamic classifier chains
E Loza Mencía, M Kulessa, S Bohlender, J Fürnkranz
Machine Learning, 1–37, 2022
2*2022
Towards model-based approximate query processing
M Kulessa, B Hilprecht, A Molina, K Kersting, C Binnig
Applied AI for Database Systems and Applications: 1st International Workshop …, 2019
22019
Improving outbreak detection with stacking of statistical surveillance methods
M Kulessa, EL Mencía, J Fürnkranz
Epidemiology meets Data Mining and Knowledge Discovery: 2nd International …, 2019
22019
Combining predictions under uncertainty: The case of random decision trees
F Busch, M Kulessa, E Loza Mencía, H Blockeel
Discovery Science: 24th International Conference, DS 2021, Halifax, Nova …, 2021
12021
Sum-product networks for early outbreak detection of emerging diseases
M Kulessa, B Wittelsbach, E Loza Mencía, J Fürnkranz
Artificial Intelligence in Medicine: 19th International Conference on …, 2021
12021
Improving the fusion of outbreak detection methods with supervised learning
M Kulessa, E Loza Mencía, J Fürnkranz
Computational Intelligence Methods for Bioinformatics and Biostatistics …, 2020
12020
Data-driven Disease Surveillance
M Kulessa
Technische Universität, 2021
2021
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