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Andreas Theissler

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2020 – today

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2024
[c31]
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Michael Schesny, Nico Lutz, Thomas Jägle, Felix Gerschner, Marco Klaiber, Andreas Theissler:
Enhancing Website Fraud Detection: A ChatGPT-Based Approach to Phishing Detection. COMPSAC 2024: 1494-1495
[c30]
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Aylin Yamac, Dilan Genc, Esra Zaman, Felix Gerschner, Marco Klaiber, Andreas Theissler:
Open-Source Text-to-Image Models: Evaluation using Metrics and Human Perception. COMPSAC 2024: 1659-1664
[c29]
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Lukas Frank, Fabian Herth, Paul Stuwe, Marco Klaiber, Felix Gerschner, Andreas Theissler:
Leveraging GenAI for an Intelligent Tutoring System for R: A Quantitative Evaluation of Large Language Models. EDUCON 2024: 1-9
[c28]
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Alexander Schilling, James Anurathan, Johannes Mühlberger, Felix Gerschner, Manfred Rössle, Andreas Theissler, Marco Klaiber:
Querying Football Matches for Event Data: Towards Using Large Language Models. ISACE 2024: 216-227
[c27]
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Timo Markert, Sebastian Matich, Daniel Neykov, Jonas Pfannes, Andreas Theissler, Martin Atzmueller:
Force-based Haptic Input Device and Online Motion Generator: Investigating Learning Curves in Robotic Telemanipulation. RO-MAN 2024: 1761-1767
[i1]
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  - journals/corr/abs-2409-13367
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Stefan Kraft, Andreas Theissler, Vera Wienhausen-Wilke, Philipp Walter, Gjergji Kasneci:
ALPEC: A Comprehensive Evaluation Framework and Dataset for Machine Learning-Based Arousal Detection in Clinical Practice. CoRR abs/2409.13367 (2024)
2023
[j6]
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Dominik Raab, Andreas Theissler, Myra Spiliopoulou:
XAI4EEG: spectral and spatio-temporal explanation of deep learning-based seizure detection in EEG time series. Neural Comput. Appl. 35(14): 10051-10068 (2023)
[j5]
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Benedikt Grimmeisen, Mohammad Chegini, Andreas Theissler:
VisGIL: machine learning-based visual guidance for interactive labeling. Vis. Comput. 39(10): 5097-5119 (2023)
[c26]
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  - conf/icmla/WeilerTM23
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Jessica Weiler, Andreas Theissler, Uwe Messer:
From Pixels to Palate: Deep Learning-Based Image Aesthetics Assessment for Food and Beverages. ICMLA 2023: 504-511
[c25]
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Timo Markert, Elias Hoerner, Sebastian Matich, Andreas Theissler, Martin Atzmueller:
Robotic Peg-in-Hole Insertion with Tight Clearances: A Force-based Deep Q-Learning Approach. ICMLA 2023: 1045-1051
[c24]
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Andreas Theissler, Manuel Wengert, Felix Gerschner:
ROCKAD: Transferring ROCKET to Whole Time Series Anomaly Detection. IDA 2023: 419-432
[c23]
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Felix Gerschner, Jonas Paul, Lukas Schmid, Nico Barthel, Victor Gouromichos, Florian Schmid, Martin Atzmueller, Andreas Theissler:
Domain Transfer for Surface Defect Detection using Few-Shot Learning on Scarce Data. INDIN 2023: 1-7
[c22]
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Jonas Werner, Philipp Beisswanger, Christoph Schürger, Marco Klaiber, Andreas Theissler:
From Data to Wisdom: A Review of Applications and Data Value in the context of Small Data. KES 2023: 1251-1260
[c21]
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Marco Klaiber, Manfred Rössle, Andreas Theissler:
The 10 most popular Concept Drift Algorithms: An overview and optimization potentials. KES 2023: 1261-1271
[c20]
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Tobias Gentner, Timon Neitzel, Jacob Schulze, Felix Gerschner, Andreas Theissler:
Data Lakes in Healthcare: Applications and Benefits from the Perspective of Data Sources and Players. KES 2023: 1302-1311
[c19]
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Kai Wannenwetsch, Isabel Ostermann, Rene Priel, Felix Gerschner, Andreas Theissler:
Blockchain for Supply Chain Management: A Literature Review and Open Challenges. KES 2023: 1312-1321
[e2]
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  - conf/pkdd/2022-w1
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Irena Koprinska, Paolo Mignone, Riccardo Guidotti, Szymon Jaroszewicz, Holger Fröning, Francesco Gullo, Pedro M. Ferreira, Damian Roqueiro, Gaia Ceddia, Slawomir Nowaczyk, João Gama, Rita P. Ribeiro, Ricard Gavaldà, Elio Masciari, Zbigniew W. Ras, Ettore Ritacco, Francesca Naretto, Andreas Theissler, Przemyslaw Biecek, Wouter Verbeke, Gregor Schiele, Franz Pernkopf, Michaela Blott, Ilaria Bordino, Ivan Luciano Danesi, Giovanni Ponti, Lorenzo Severini, Annalisa Appice, Giuseppina Andresini, Ibéria Medeiros, Guilherme Graça, Lee A. D. Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Diego Saldana Miranda, Konstantinos Sechidis, Arif Canakoglu, Sara Pidò, Pietro Pinoli, Albert Bifet, Sepideh Pashami:
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part I. Communications in Computer and Information Science 1752, Springer 2023, ISBN 978-3-031-23617-4 [contents]
[e1]
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Irena Koprinska, Paolo Mignone, Riccardo Guidotti, Szymon Jaroszewicz, Holger Fröning, Francesco Gullo, Pedro M. Ferreira, Damian Roqueiro, Gaia Ceddia, Slawomir Nowaczyk, João Gama, Rita P. Ribeiro, Ricard Gavaldà, Elio Masciari, Zbigniew W. Ras, Ettore Ritacco, Francesca Naretto, Andreas Theissler, Przemyslaw Biecek, Wouter Verbeke, Gregor Schiele, Franz Pernkopf, Michaela Blott, Ilaria Bordino, Ivan Luciano Danesi, Giovanni Ponti, Lorenzo Severini, Annalisa Appice, Giuseppina Andresini, Ibéria Medeiros, Guilherme Graça, Lee A. D. Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Diego Saldana Miranda, Konstantinos Sechidis, Arif Canakoglu, Sara Pidò, Pietro Pinoli, Albert Bifet, Sepideh Pashami:
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part II. Communications in Computer and Information Science 1753, Springer 2023, ISBN 978-3-031-23632-7 [contents]
2022
[j4]
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  - journals/access/TheisslerSSG22
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Andreas Theissler, Francesco Spinnato, Udo Schlegel, Riccardo Guidotti:
Explainable AI for Time Series Classification: A Review, Taxonomy and Research Directions. IEEE Access 10: 100700-100724 (2022)
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Andreas Theissler, Mark Thomas, Michael Burch, Felix Gerschner:
ConfusionVis: Comparative evaluation and selection of multi-class classifiers based on confusion matrices. Knowl. Based Syst. 247: 108651 (2022)
[c18]
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Andreas Theissler, Philip Ritzer:
EduML: An explorative approach for students and lecturers in machine learning courses. EDUCON 2022: 921-928
[c17]
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  - conf/educon/RennerMT22
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Alena Renner, Jenny Müller, Andreas Theissler:
State-of-the-art on writing a literature review: An overview of types and components. EDUCON 2022: 1895-1902
[c16]
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  - conf/etfa/MarkertMNMTA22
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Timo Markert, Sebastian Matich, Daniel Neykov, Markus Muenig, Andreas Theissler, Martin Atzmueller:
Visual Detection of Tiny and Transparent Objects for Autonomous Robotic Pick-and-Place Operations. ETFA 2022: 1-4
[c15]
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Timo Markert, Sebastian Matich, Elias Hoerner, Jonas Pfannes, Andreas Theissler, Martin Atzmueller:
Comparing Human Haptic Perception and Robotic Force/Torque Sensing in a Simulated Surgical Palpation Task. IROS 2022: 7825-7832
[c14]
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Jerg Pfeil, Jochen Wieland, Thomas Michalke, Andreas Theissler:
On Why the System Makes the Corner Case: AI-based Holistic Anomaly Detection for Autonomous Driving. IV 2022: 337-344
2021
[j2]
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Andreas Theissler, Judith Pérez-Velázquez, Marcel Kettelgerdes, Gordon Elger:
Predictive maintenance enabled by machine learning: Use cases and challenges in the automotive industry. Reliab. Eng. Syst. Saf. 215: 107864 (2021)
[c13]
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Stefan Kraft, Klaus Broelemann, Andreas Theissler, Gjergji Kasneci:
SPARROW: Semantically Coherent Prototypes for Image Classification. BMVC 2021: 186
[c12]
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Timo Markert, Sebastian Matich, Elias Hoerner, Andreas Theissler, Martin Atzmueller:
Fingertip 6-Axis Force/Torque Sensing for Texture Recognition in Robotic Manipulation. ETFA 2021: 1-8
[c11]
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  - conf/etfa/VollertAT21
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Simon Vollert, Martin Atzmueller, Andreas Theissler:
Interpretable Machine Learning: A brief survey from the predictive maintenance perspective. ETFA 2021: 1-8
[c10]
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Simon Vollert, Andreas Theissler:
Challenges of machine learning-based RUL prognosis: A review on NASA's C-MAPSS data set. ETFA 2021: 1-8
2020
[c9]
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  - conf/cdmake/TheisslerVBMF20
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Andreas Theissler, Simon Vollert, Patrick Benz, Laurentius Antonius Meerhoff, Marc Fernandes:
ML-ModelExplorer: An Explorative Model-Agnostic Approach to Evaluate and Compare Multi-class Classifiers. CD-MAKE 2020: 281-300
[c8]
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Tobias Grüner, Falco Böllhoff, Robert Meisetschläger, Alexander Vydrenko, Martyna Bator, Alexander Dicks, Andreas Theissler:
Evaluation of Machine Learning for Sensorless Detection and Classification of Faults in Electromechanical Drive Systems. KES 2020: 1586-1595
[c7]
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Marvin Gärtner, Andreas Theissler, Marc Fernandes:
Detecting Potential Subscribers on Twitch: A Text Mining Approach with XGBoost - Discovery Challenge ChAT: CoolStoryBob. ChAT@PKDD/ECML 2020
[c6]
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Andreas Theissler, Anna-Lena Kraft, Max Rudeck, Fabian Erlenbusch:
VIAL-AD: Visual Interactive Labelling for Anomaly Detection - An Approach and Open Research Questions. IAL@PKDD/ECML 2020: 84-89
[c5]
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  - conf/vinci/BeilT20
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David Beil, Andreas Theissler:
Cluster-clean-label: an interactive machine learning approach for labeling high-dimensional data. VINCI 2020: 5:1-5:8
[c4]
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Benedikt Grimmeisen, Andreas Theissler:
The machine learning model as a guide: pointing users to interesting instances for labeling through visual cues. VINCI 2020: 6:1-6:8
[c3]
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  - conf/vinci/FezerRT20
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Eric Fezer, Dominik Raab, Andreas Theissler:
XplainableClusterExplorer: a novel approach for interactive feature selection for clustering. VINCI 2020: 15:1-15:5

2010 – 2019

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2019
[c2]
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  - conf/pkdd/TheisslerFE19
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Andreas Theissler, Stephan Frey, Jens Ehlert:
OCADaMi: One-Class Anomaly Detection and Data Mining Toolbox. ECML/PKDD (3) 2019: 764-768
2017
[j1]
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Andreas Theissler:
Detecting known and unknown faults in automotive systems using ensemble-based anomaly detection. Knowl. Based Syst. 123: 163-173 (2017)
[c1]
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Andreas Theissler:
Multi-class novelty detection in diagnostic trouble codes from repair shops. INDIN 2017: 1043-1049
2013
[b1]
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Andreas Theissler:
Detecting anomalies in multivariate time series from automotive systems. Brunel University London, UK, 2013

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