Andreas Theissler

发表

VIAL-AD: Visual Interactive Labelling for Anomaly Detection - An Approach and Open Research Questions

Andreas Theissler, Anna-Lena Kraft, Max Rudeck, 2020, IAL@PKDD/ECML.

Multi-class novelty detection in diagnostic trouble codes from repair shops

Andreas Theissler, Andreas Theissler, 2017, 2017 IEEE 15th International Conference on Industrial Informatics (INDIN).

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

Andreas Theissler, Tobias Grüner, Falco Böllhoff, 2020, KES.

Anomaly detection in recordongs from in-vehicle networks

Andreas Theissler, 2014 .

Detecting Potential Subscribers on Twitch: A Text Mining Approach with XGBoost - Discovery Challenge ChAT: CoolStoryBob

Andreas Theissler, Marvin Gärtner, Marc Fernandes, 2020, ChAT@PKDD/ECML.

An Anomaly Detection Approach to Detect Unexpected Faults in Recordings from Test Drives

Ian Dear, Andreas Theissler, 2013 .

$In\ Situ$ Failure Detection of Electronic Control Units Using Piezoresistive Stress Sensor

Bongtae Han, Guo Qi Zhang, Andreas Theissler, 2018, IEEE Transactions on Components, Packaging and Manufacturing Technology.

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

Andreas Theissler, Benedikt Grimmeisen, 2020, VINCI.

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

Andreas Theissler, Laurentius Antonius Meerhoff, Marc Fernandes, 2020, CD-MAKE.

Method for data logging and data logging system

Daniel Ulmer, Andreas Theissler, Oliver Bühler, 2009 .

Detecting known and unknown faults in automotive systems using ensemble-based anomaly detection

Andreas Theissler, Andreas Theissler, 2017, Knowl. Based Syst..

Detecting anomalies in multivariate time series from automotive systems

Andreas Theissler, 2013 .

Autonomously Determining the Parameters for SVDD with RBF Kernel from a One-Class Training Set

Ian Dear, Andreas Theissler, Andreas Theissler, 2013 .

INTERACTIVE ANOMALY DETECTION IN TIME SERIES RESULTING FROM LOCAL TRAFFIC MEASUREMENTS

Hubert Rehborn, Ian Dear, Andreas Theissler, 2011 .

OCADaMi: One-Class Anomaly Detection and Data Mining Toolbox

Andreas Theissler, Stephan Frey, Jens Ehlert, 2019, ECML/PKDD.

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

Andreas Theissler, David Beil, Andreas Theissler, 2020, VINCI.

XplainableClusterExplorer: a novel approach for interactive feature selection for clustering

Andreas Theissler, Eric Fezer, Dominik Raab, 2020, VINCI.

Predictive maintenance enabled by machine learning: Use cases and challenges in the automotive industry

Gordon Elger, Andreas Theissler, Judith Pérez-Velázquez, 2021, Reliab. Eng. Syst. Saf..

Challenges of machine learning-based RUL prognosis: A review on NASA's C-MAPSS data set

Andreas Theissler, Simon Vollert, Andreas Theissler, 2021, 2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA ).

Fingertip 6-Axis Force/Torque Sensing for Texture Recognition in Robotic Manipulation

Sebastian Matich, Andreas Theissler, Martin Atzmueller, 2021, 2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA ).

Interpretable Machine Learning: A brief survey from the predictive maintenance perspective

Andreas Theissler, Simon Vollert, Martin Atzmueller, 2021, 2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA ).