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Theissler, Andreas (8)
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2020 (8)
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Conference Proceeding
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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
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
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
The machine learning model as a guide: pointing users to interesting instances for labeling through visual cues
(2020)
Grimmeisen, Benedikt
;
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
Cluster-clean-label: an interactive machine learning approach for labeling high-dimensional data
(2020)
Beil, David
;
Theissler, Andreas
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