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Cluster-clean-label: an interactive machine learning approach for labeling high-dimensional data (2020)

Beil, David ; Theissler, Andreas

Evaluation of Machine Learning for Sensorless Detection and Classification of Faults in Electromechanical Drive Systems (2020)

Grüner, Tobias ; Böllhoff, Falco ; Meisetschläger, Robert ; Vydrenko, Alexander ; Bator, Martyna ; Dicks, Alexander ; Theissler, Andreas

XplainableClusterExplorer: a novel approach for interactive feature selection for clustering (2020)

Fezer, Eric ; Raab, Dominik ; Theissler, Andreas

Detecting Potential Subscribers on Twitch: A Text Mining Approach with XGBoost — Discovery Challenge ChAT: CoolStoryBob (2020)

Gärtner, Marvin ; Theissler, Andreas ; Fernandes, Marc

The machine learning model as a guide: pointing users to interesting instances for labeling through visual cues (2020)

Grimmeisen, Benedikt ; Theissler, Andreas

A Deep Learning Approach to Prepare Participants for Negotiations by Recognizing Emotions with Voice Analysis (Paper No. 27) (2020)

Maier, Jonas ; Schlechte, Daniel ; Fernandes, Marc ; Theissler, Andreas

OCADaMi: One-Class Anomaly Detection and Data Mining Toolbox (2019)

Theissler, Andreas ; Frey, Stephan ; Ehlert, Jens

VIAL-AD: Visual Interactive Labelling for Anomaly Detection - An approach and open research questions (2020)

Theissler, Andreas ; Kraft, Anna-Lena ; Rudeck, Max ; Erlenbusch, Fabian

ML-ModelExplorer: An Explorative Model-Agnostic Approach to Evaluate and Compare Multi-class Classifiers (2020)

Theissler, Andreas ; Vollert, Simon ; Benz, Patrick ; Meerhoff, Laurentius ; Fernandes, Marc

SPARROW: Semantically Coherent Prototypes for Image Classification (2021)

Kraft, Stefan ; Brölemann, Klaus ; Theissler, Andreas ; Kasneci, Gjergji

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