Andreas Theissler

发表

Anomaly detection in recordings from in-vehicle networks

Andreas Theissler, 2015 .

A deep learning approach to prepare participants for negotiations by recognizing emotions with voice analysis

Andreas Theissler, Jonas Maier, Daniel Schlechte, 2020 .

INTERACTIVE KNOWLEDGE DISCOVERY IN RECORDINGS FROM VEHICLE TESTS

Andreas Theissler, Daniel Ulmer, 2012 .

Explainable AI for Time Series Classification: A Review, Taxonomy and Research Directions

Andreas Theissler, Riccardo Guidotti, Udo Schlegel, 2022, IEEE Access.

XAI4EEG: spectral and spatio-temporal explanation of deep learning-based seizure detection in EEG time series

M. Spiliopoulou, Andreas Theissler, D. Raab, 2022, Neural Computing and Applications.

VisGIL: machine learning-based visual guidance for interactive labeling

Andreas Theissler, Benedikt Grimmeisen, Mohammad Chegini, 2022, The Visual Computer.

Visual Detection of Tiny and Transparent Objects for Autonomous Robotic Pick-and-Place Operations

Andreas Theissler, Martin Atzmueller, S. Matich, 2022, 2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA).

An A nomaly D etection A pproach to D etect U nexpected F aults in R ecordings from T est D

Andreas Theissler, I. Dear, 2013 .

Comparing Human Haptic Perception and Robotic Force/Torque Sensing in a Simulated Surgical Palpation Task

Andreas Theissler, S. Matich, Timo Markert, 2022, 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

XplainableClusterExplorer: a novel approach for interactive feature selection for clustering

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

XplainableClusterExplorer

Andreas Theissler, D. Raab, Eric Fezer, 2020, Proceedings of the 13th International Symposium on Visual Information Communication and Interaction.

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..

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

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

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

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

ConfusionVis: Comparative evaluation and selection of multi-class classifiers based on confusion matrices

Andreas Theissler, Michael Burch, Mark Thomas, 2022, Knowl. Based Syst..

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

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

SPARROW: Semantically Coherent Prototypes for Image Classification

Andreas Theissler, Klaus Broelemann, G. Kasneci, 2021, BMVC.

$In\ Situ$ 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.

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 ).

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 ).

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

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

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).

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

Ian Dear, Andreas Theissler, Andreas Theissler, 2013 .

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.