Publikationen:

Autor: Jahr:

2023

  ·G. Klassen, M. Krakowski, S. Conrad:
Cluster-based stability evaluation in time series data sets
Applied Intelligence

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2022

  ·S. Korlakov, G. Klassen, M. Bravidor, S. Conrad:
Alone We Can Do So Little; Together We Cannot Be Detected
Engineering Proceedings

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2021

  ·G. Klassen:
Pattern Discovery in Time Series

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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)

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  ·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)

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  ·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)

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  ·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

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  ·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

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  ·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)

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  ·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)

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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)

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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

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  ·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

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  ·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

Datenbanken und Informationssysteme

Lehrstuhlinhaber

Prof. Dr. Stefan Conrad


Universitätsstr. 1
40225 Düsseldorf
Gebäude: 25.12
Etage/Raum: 02.24
Tel.: +49 211 81-14088

Sekretariat

Lisa Lorenz



Universitätsstr. 1
40225 Düsseldorf
Gebäude: 25.12
Etage/Raum: 02.22
Tel.: +49 211 81-11312
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