Martha Tatusch

According to our database, Martha Tatusch authored at least 10 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Cluster-based stability evaluation in time series data sets.

Gerhard Klassen, Martha Tatusch, Stefan Conrad

Appl. Intell., July, 2023

2020

Clustering of Time Series Regarding Their Over-Time Stability.

Gerhard Klassen, Martha Tatusch, Stefan Conrad

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Fuzzy Clustering Stability Evaluation of Time Series.

Gerhard Klassen, Martha Tatusch, Ludmila Himmelspach, Stefan Conrad

Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2020

Behave or Be Detected! Identifying Outlier Sequences by Their Group Cohesion.

Martha Tatusch, Gerhard Klassen, Stefan Conrad

Proceedings of the Big Data Analytics and Knowledge Discovery, 2020

Loners Stand Out. Identification of Anomalous Subsequences Based on Group Performance.

Martha Tatusch, Gerhard Klassen, Stefan Conrad

Proceedings of the Advanced Data Mining and Applications - 16th International Conference, 2020

2019

Show Me Your Friends and I'll Tell You Who You Are. Finding Anomalous Time Series by Conspicuous Cluster Transitions.

Martha Tatusch, Gerhard Klassen, Marcus Bravidor, Stefan Conrad

Proceedings of the Data Mining - 17th Australasian Conference, AusDM 2019, Adelaide, SA, 2019

2018

Approaches for the Improvement of the Multilabel Multiclass Classification with a Huge Number of Classes.

Martha Tatusch

Proceedings of the 30th GI-Workshop Grundlagen von Datenbanken, Wuppertal, 2018

Detection of Multidrug-resistant Tuberculosis using Convolutional Neural Networks and Decision Trees.

Martha Tatusch, Stefan Conrad

Proceedings of the Working Notes of CLEF 2018, 2018

Feature-Based Approach for Severity Scoring of Lung Tuberculosis from CT Images.

Kirill Bogomasov, Ludmila Himmelspach, Gerhard Klassen, Martha Tatusch, Stefan Conrad

Proceedings of the Working Notes of CLEF 2018, 2018

2017

Convolutional Neural Networks for Multidrug-resistant and Drug-sensitive Tuberculosis Distinction.

Daniel Braun, Michael Singhof, Martha Tatusch, Stefan Conrad

Proceedings of the Working Notes of CLEF 2017, 2017