Convolutional Neural Networks for Multidrug-resistant and Drug-sensitive Tuberculosis Distinction. - Daniel Braun 002; Michael Singhof; Martha Tatusch; Stefan Conrad 001 (CLEF (Working Notes), 2017)

Feature-Based Approach for Severity Scoring of Lung Tuberculosis from CT Images. - Kirill Bogomasov; Ludmila Himmelspach; Gerhard Klassen; Martha Tatusch; Stefan Conrad 001 (CLEF (Working Notes), 2018)

Detection of Multidrug-resistant Tuberculosis using Convolutional Neural Networks and Decision Trees. - Martha Tatusch; Stefan Conrad 001 (CLEF (Working Notes), 2018)

Approaches for the Improvement of the Multilabel Multiclass Classification with a Huge Number of Classes. - Martha Tatusch (Grundlagen von Datenbanken, 2018)

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 001 (AusDM, 2019)

Loners Stand Out. Identification of Anomalous Subsequences Based on Group Performance. - Martha Tatusch; Gerhard Klassen; Stefan Conrad 001 (ADMA, 2020)

Behave or Be Detected! Identifying Outlier Sequences by Their Group Cohesion. - Martha Tatusch; Gerhard Klassen; Stefan Conrad 001 (DaWaK, 2020)

Fuzzy Clustering Stability Evaluation of Time Series. - Gerhard Klassen; Martha Tatusch; Ludmila Himmelspach; Stefan Conrad 001 (IPMU (1), 2020)

Clustering of Time Series Regarding Their Over-Time Stability. - Gerhard Klassen; Martha Tatusch; Stefan Conrad 001 (SSCI, 2020)

Cluster-based stability evaluation in time series data sets. - Gerhard Klassen; Martha Tatusch; Stefan Conrad 001 (Appl. Intell., 2023)