2021
2020
Moritz Kulessa, Eneldo Loza Mencía and Johannes Fürnkranz, Improving the Fusion of Outbreak Detection Methods with Supervised Learning, in: Computational Intelligence Methods for Bioinformatics and Biostatistics - 16th International Meeting, {CIBB} 2019, Bergamo, Italy, September 4-6, 2019, Revised Selected Papers, Bergamo, Italy, pages 55--66, Springer, 2020
[DOI]
2019
Moritz Kulessa, Eneldo Loza Mencía and Johannes Fürnkranz, Improving Outbreak Detection with Stacking of Statistical Surveillance Methods, in: Workshop Proceedings of epiDAMIK: Epidemiology meets Data Mining and Knowledge discovery (held in conjunction with ACM SIGKDD 2019), Anchorage, USA, 2019
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[URL]
Moritz Kulessa, Benjamin Hilprecht, Alejandro Molina, Kristian Kersting and Carsten Binnig, Towards Model-based Approximate Query Processing, in: Working Notes of the 1st International Workshop on Applied AI for Database Systems and Applications (held in conjunction with VLDB 2019), Los Angeles, USA, 2019
[URL]
2018
Moritz Kulessa and Eneldo Loza Mencía, Dynamic Classifier Chain with Random Decision Trees, in: Proceedings of the 21st International Conference of Discovery Science (DS-18), Limassol, Cyprus, pages 33--50, Springer-Verlag, 2018
[DOI]
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