Martha Tatusch
Martha Tatusch
PhD Student in Computer Science
Verified email at hhu.de
Title
Cited by
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
62019
Convolutional Neural Networks for Multidrug-resistant and Drug-sensitive Tuberculosis Distinction.
D Braun, M Singhof, M Tatusch, S Conrad
CLEF (Working Notes), 2017
62017
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
52018
Fuzzy clustering stability evaluation of time series
G Klassen, M Tatusch, L Himmelspach, S Conrad
International Conference on Information Processing and Management of …, 2020
32020
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
22018
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
12020
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
12020
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
12020
Approaches for the Improvement of the Multilabel Multiclass Classification with a Huge Number of Classes.
M Tatusch
Grundlagen von Datenbanken, 65-70, 2018
12018
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
2020
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
2020
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
2020
Anwendungsgebiete für die automatisierte Informationsgewinnung aus Bildern
S Conrad, M Tatusch, K Bogomasov, G Klassen
Episteme in Bewegung, 85, 0
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