Publikationen:
2023
| · | G. Klassen, M. Krakowski, S. Conrad: Cluster-based stability evaluation in time series data sets Applied Intelligence |  |
2021
| · | M. Krakowski: Detection of Anomalous Sequences in Multivariate Time Series Data | |
2020
2019
| · | M. Krakowski, G. Klassen, M. Bravidor, S. Conrad: Show Me Your Friends and I'll Tell You Who You Are. Finding Anomalous Time Series by Conspicuous Cluster Transitions Data Mining. AusDM 2019. Communications in Computer and Information Science (Code available here: https://github.com/tatusch/ots-eval) | |
2018
| · | K. Bogomasov, L. Himmelspach, G. Klassen, M. Krakowski, S. Conrad: Feature-Based Approach for Severity Scoring of Lung Tuberculosis from CT Images Working Notes of CLEF 2018 - Conference and Labs of the Evaluation Forum | | |
| · | M. Krakowski, S. Conrad: Detection of Multidrug-Resistant Tuberculosis Using Convolutional Neural Networks and Decision Trees Working Notes of CLEF 2018 - Conference and Labs of the Evaluation Forum | | |
| · | M. Krakowski: Approaches for the Improvement of the Multilabel Multiclass Classification with a Huge Number of Classes Proceedings of the 30th GI-Workshop Grundlagen von Datenbanken, Wuppertal, Germany, May 22-25, 2018 | |
2017
| · | D. Braun, M. Singhof, M. Krakowski, S. Conrad: Convolutional Neural Networks for Multidrug-resistant and Drug-sensitive Tuberculosis Dinstinction CLEF2017 Working Notes | |
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