2021
Moritz Kulessa, Eneldo Loza Mencía and Johannes Fürnkranz, Revisiting non-specific syndromic surveillance, in: Proceedings of the 19th International Symposium on Intelligent Data Analysis, pages 128-140, Springer International Publishing, 2021
[URL]
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
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
download
[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]
linked PDF