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Martha Krakowski (Tatusch)
Martha Krakowski (Tatusch)
PhD Student in Computer Science
Verified email at hhu.de
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Cited by
Year
Show me your friends and i’ll tell you who you are. finding anomalous time series by conspicuous cluster transitions
M Tatusch, G Klassen, M Bravidor, S Conrad
Australasian Conference on Data Mining, 91-103, 2019
92019
Fuzzy clustering stability evaluation of time series
G Klassen, M Tatusch, L Himmelspach, S Conrad
International Conference on Information Processing and Management of …, 2020
82020
Convolutional Neural Networks for Multidrug-resistant and Drug-sensitive Tuberculosis Distinction.
D Braun, M Singhof, M Tatusch, S Conrad
CLEF (Working Notes), 2017
72017
Featurebased approach for severity scoring of lung tuberculosis from CT images
K Bogomasov, L Himmelspach, G Klassen, M Tatusch, S Conrad
CLEF2018 Working Notes. CEUR Workshop Proceedings, Avignon, France, CEUR-WS …, 2018
62018
How is your team spirit? cluster over-time stability evaluation
M Tatusch, G Klassen, M Bravidor, S Conrad
Machine Learning and Data Mining in Pattern Recognition, MLDM, 2020
42020
Detection of multidrug-resistant tuberculosis using convolutional neural networks and decision trees
M Tatusch, S Conrad
CLEF2018 Working Notes. CEUR Workshop Proceedings, Avignon, France, CEUR-WS …, 2018
32018
Approaches for the Improvement of the Multilabel Multiclass Classification with a Huge Number of Classes.
M Tatusch
Grundlagen von Datenbanken, 65-70, 2018
32018
Behave or be detected! identifying outlier sequences by their group cohesion
M Tatusch, G Klassen, S Conrad
International Conference on Big Data Analytics and Knowledge Discovery, 333-347, 2020
22020
Evaluating machine learning algorithms in predicting financial restatements
G Klassen, M Tatusch, W Huo, S Conrad
2020 The 4th International Conference on Business and Information Management …, 2020
22020
Clustering of time series regarding their over-time stability
G Klassen, M Tatusch, S Conrad
2020 IEEE Symposium Series on Computational Intelligence (SSCI), 1051-1058, 2020
12020
Loners stand out. Identification of anomalous subsequences based on group performance
M Tatusch, G Klassen, S Conrad
International Conference on Advanced Data Mining and Applications, 360-369, 2020
12020
Predicting erroneous financial statements using a density-based clustering approach
M Tatusch, G Klassen, M Bravidor, S Conrad
2020 The 4th International Conference on Business and Information Management …, 2020
12020
Anwendungsgebiete für die automatisierte Informationsgewinnung aus Bildern
S Conrad, M Tatusch, K Bogomasov, G Klassen
Episteme in Bewegung, 85, 0
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