Moritz Kulessa
First name(s): Moritz
Last name(s): Kulessa

Publications of Moritz Kulessa sorted by first author

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Simon Bohlender, Eneldo Loza Mencía and Moritz Kulessa, Extreme Gradient Boosted Multi-label Trees for Dynamic Classifier Chains, Knowledge Engineering Group, Technische Universität Darmstadt, number 2006.08094 [cs.LG], ArXiv e-prints, 2020
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Simon Bohlender, Eneldo Loza Mencía and Moritz Kulessa, Extreme Gradient Boosted Multi-label Trees for Dynamic Classifier Chains, in: Discovery Science - 23rd International Conference, {DS} 2020, Thessaloniki, Greece, October 19-21, 2020, Proceedings, pages 471--485, Springer International Publishing, 2020
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Moritz Kulessa, Online-Lernen von zufälligen Entscheidungsbäumen, TU Darmstadt, Knowledge Engineering Group, 2015
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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
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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
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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
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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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Moritz Kulessa, Eneldo Loza Mencía and Johannes Fürnkranz, Revisiting Non-Specific Syndromic Surveillance, in: Advances in Intelligent Data Analysis {XIX} - 19th International Symposium on Intelligent Data Analysis, {IDA} 2021, Porto, Portugal, April 26-28, 2021, Proceedings, pages 128-140, Springer International Publishing, 2021
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Moritz Kulessa, Bennet Wittelsbach, Eneldo Loza Mencía and Johannes Fürnkranz, Sum-Product Networks for Early Outbreak Detection of Emerging Diseases, in: Artificial Intelligence in Medicine, pages 61--71, Springer International Publishing, 2021

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