Publikationen: Gerhard Klassen

2020

	·	G. Klassen, M. Krakowski, S. Conrad: Clustering of Time Series Regarding Their Over-Time Stability Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence (SSCI) (Code available here: https://github.com/tatusch/ots-eval)
	·	S. Conrad, M. Krakowski, K. Bogomasov, G. Klassen: Anwendungsgebiete für die automatisierte Informationsgewinnung aus Bildern Bilddaten in den Digitalen Geisteswissenschaften
	·	M. Krakowski, G. Klassen, S. Conrad: Loners stand out. Identification of anomalous subsequences based on group performance Advanced Data Mining and Applications, ADMA 2020 (Code available here: https://github.com/tatusch/ots-eval)
	·	M. Krakowski, G. Klassen, S. Conrad: Behave or be detected! Identifying outlier sequences by their group cohesion Big Data Analytics and Knowledge Discovery, 22nd International Conference, DaWaK 2020 (Code available here: https://github.com/tatusch/ots-eval)
	·	M. Krakowski, G. Klassen, M. Bravidor, S. Conrad: Predicting Erroneous Financial Statements Using a Density-Based Clustering Approach ICBIM '20: Proceedings of the 4th International Conference on Business and Information Management
	·	G. Klassen, M. Krakowski, W. Huo, S. Conrad: Evaluating Machine Learning Algorithms in Predicting Financial Restatements ICBIM '20: Proceedings of the 4th International Conference on Business and Information Management
	·	M. Krakowski, G. Klassen, M. Bravidor, S. Conrad: How is Your Team Spirit? Cluster Over-Time Stability Evaluation Machine Learning and Data Mining in Pattern Recognition, 16th International Conference on Machine Learning and Data Mining, MLDM 2020 (Code available here: https://github.com/tatusch/ots-eval)
	·	G. Klassen, M. Krakowski, L. Himmelspach, S. Conrad: Fuzzy Clustering Stability Evaluation of Time Series Information Processing and Management of Uncertainty in Knowledge-Based Systems, 18th International Conference, IPMU 2020 (Code available here: https://github.com/tatusch/ots-eval)

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)

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Heinrich-Heine-Universität Düsseldorf

Publikationen: Gerhard Klassen

2020

2019

2018

2017

Datenbanken und Informationssysteme

Lehrstuhlinhaber

Prof. Dr. Stefan Conrad

Sekretariat

Sabine Freese