Publikationen:
2023
· | G. Klassen, M. Krakowski, S. Conrad: Cluster-based stability evaluation in time series data sets Applied Intelligence |
2022
· | S. Korlakov, G. Klassen, M. Bravidor, S. Conrad: Alone We Can Do So Little; Together We Cannot Be Detected Engineering Proceedings |
2021
· | G. Klassen: Pattern Discovery in Time Series |
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 | ||
· | G. Klassen, S. Conrad: Proceedings of the 30th GI-Workshop Grundlagen von Datenbanken (GvDB 2018), Wuppertal, Germany, May 22-25, 2018 |
2017
· | G. Klassen, M. Singhof: Shape Based Outlier Detection in SLIC Superpixels Proceedings of the 29th GI-Workshop Grundlagen von Datenbanken, Blankenburg/Harz, Germany | ||
· | M. Singhof, G. Klassen, D. Braun, S. Conrad: Detection and Implicit Classification of Outliers via Different Feature Sets in Polygonal Chains Datenbanksysteme für Business, Technologie und Web (BTW 2017) |