Dr. Stefan Glüge

Persönliches Profil

Tätigkeit an der ZHAW

Wissenschaftlicher Mitarbeiter
Institut für Computational Life Sciences (ICLS)
ZHAW - Life Sciences und Facility Management
Grüentalstrasse 14, Postfach, 8820 Wädenswil

www.zhaw.ch/de/lsfm/institute-zentren/icls/cognitive-computing-in-life-sciences/

Arbeits- und Forschungsschwerpunkte, Spezialkenntnisse

Statistical Learning/Machine Learning, Pattern Recognition, Artificial
(Recurrent) Neural Networks, Time Series Analysis, Time Series Prediction,
Reinforcement Learning, Automatic Speech Processing, Emotion Recognition
from Speech

Beruflicher Werdegang

Doktorand (2008 - 2013)

Otto-von-Guericke-Universität Magdeburg, Institute of Electronics, Signal
Processing and Communications (IESK)
Magdeburg, Deutschland
Ph.D. Thesis "Implicit Sequence Learning in Recurrent Neural Networks"


Studium (2002 - 2007)

Informationtechnologie
Otto-von-Guericke-Universität Magdeburg, Deutschland
Dipl.-Ing. Informationstechnologie - Nachrichten- und Kommunikationstechnik

Projekte

• Predictive Analytics for Hospital Supply Chain Management / Teammitglied / Projekt abgeschlossen
• PiaBreed: Machine Learning zur automatisierten Ovulations- und Geburtsüberwachung am Pferd / Stellv. ProjektleiterIn / Projekt abgeschlossen
• Using data analysis techniques for the interpretation of stable isotope labelling incorporation from real-time PTR-ToF-MS data / Teammitglied / Projekt abgeschlossen
• Neuronal Growth Modelling (BioDynaMo Initial Project) / Stellv. ProjektleiterIn / Projekt abgeschlossen
• A cloud-based IoT approach for food safety and quality prediction / Teammitglied / Projekt abgeschlossen
• Infectiology++ - Germ Tracking / Stellv. ProjektleiterIn / Projekt abgeschlossen
• Libra: A One-Tool Solution for MLD4 Compliance / Teammitglied / Projekt abgeschlossen
• Comprehensive Sales Forecasting for Supply Chain Optimization in Food Industry / Teammitglied / Projekt abgeschlossen
• Multi-Asset Investment Process using Bayes Ensembles of Trading Models / Teammitglied / Projekt abgeschlossen
• Clustering of high-throughput flow-cytometry data / Teammitglied / Projekt abgeschlossen
• Wirksamkeit von Kostform-Optimierungen in Schweizer Akutspitälern / Teammitglied / Projekt abgeschlossen

Publikationen

• Müller, Antonia; Glüge, Stefan; Vidondo, Beatriz; Wróbel, Anna; Ott, Thomas; Sieme, Harald; Burger, Dominik,

  2022.

  Increase of skin temperature prior to parturition in mares.

  Theriogenology.

  190, S. 46-51.

  Verfügbar unter: https://doi.org/10.1016/j.theriogenology.2022.07.007

• Wehrli, Samuel; Hertweck, Corinna; Amirian, Mohammadreza; Glüge, Stefan; Stadelmann, Thilo,

  2021.

  Bias, awareness, and ignorance in deep-learning-based face recognition.

  AI and Ethics.

  2(3), S. 509-522.

  Verfügbar unter: https://doi.org/10.1007/s43681-021-00108-6

• Juchler, Norman; Schilling, Sabine; Glüge, Stefan; Bijlenga, Philippe; Rüfenacht, Daniel; Kurtcuoglu, Vartan; Hirsch, Sven,

  2020.

  Radiomics approach to quantify shape irregularity from crowd-based qualitative assessment of intracranial aneurysms.

  Computer Methods in Biomechanics and Biomedical Engineering : Imaging & Visualization.

  8(5), S. 538-546.

  Verfügbar unter: https://doi.org/10.1080/21681163.2020.1728579

• Glüge, Stefan; Böck, Ronald; Palm, Günther; Wendemuth, Andreas,

  2014.

  Learning long-term dependencies in segmented-memory recurrent neural networks with backpropagation of error.

  Neurocomputing.

  141, S. 54-64.

  Verfügbar unter: https://doi.org/10.1016/j.neucom.2013.11.043

• Ott, Thomas; Glüge, Stefan; Bödi, Richard; Kauf, Peter,

  2019.

  Economic measures of forecast accuracy for demand planning : a case-based discussion

  .

  In:

  Braschler, Martin; Stadelmann, Thilo; Stockinger, Kurt, Hrsg.,

  Applied data science : lessons learned for the data-driven business.

  Cham:

  Springer.

  S. 371-386.

  Verfügbar unter: https://doi.org/10.1007/978-3-030-11821-1_20

• Frick, Thomas; Glüge, Stefan; Rahimi, Abbas; Benini, Luca; Brunschwiler, Thomas,

  2021.

  Explainable deep learning for medical time series data [Paper].

  In:

  Wireless Mobile Communication and Healthcare.

  International Conference on Wireless Mobile Communication and Healthcare (MobiHealth), Online, 18 December 2020.

  Cham:

  Springer.

  S. 244-256.

  Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ; 362.

  Verfügbar unter: https://doi.org/10.1007/978-3-030-70569-5_15

• Glüge, Stefan; Amirian, Mohammadreza; Flumini, Dandolo; Stadelmann, Thilo,

  2020.

  How (not) to measure bias in face recognition networks [Paper].

  In:

  Schilling, Frank-Peter; Stadelmann, Thilo, Hrsg.,

  Artificial Neural Networks in Pattern Recognition.

  9th IAPR TC 3 Workshop on Artificial Neural Networks for Pattern Recognition (ANNPR'20), Winterthur, Switzerland, 2-4 September 2020.

  Cham:

  Springer.

  Lecture Notes in Computer Science ; 12294.

  Verfügbar unter: https://doi.org/10.1007/978-3-030-58309-5_10

• Glüge, Stefan; Böck, Ronald; Ott, Thomas,

  2017.

  Emotion recognition from speech using representation learning in extreme learning machines [Paper].

  In:

  Sabourin, Christophe; Julian Merelo, Juan; O'Reilly, Una-May; Madani, Kurosh; Warwick, Kevin, Hrsg.,

  Proceedings of the 9th International Joint Conference on Computational Intelligence.

  9th International Joint Conference on Computational Intelligence, Funchal, Portugal, 1-3 November 2017.

  SciTePress.

  S. 179-185.

  Verfügbar unter: https://doi.org/10.5220/0006485401790185

• Nef, Annina; Glüge, Stefan; Ott, Thomas; Kauf, Peter,

  2014.

  Causality detection in complex time dependent systems examplified in financial time series [Paper].

  In:

  Proceedings of the 2014 International Symposium on Nonlinear Theory and its Applications (NOLTA2014).

  Nonlinear Theory and Applications 2014 (NOLTA), Luzern, 14-18 September 2014.

  IECE.

  S. 176-179.

  Verfügbar unter: http://www.ieice.org/nolta/symposium/archive/2014/nolta14fullvol.pdf

• Glüge, Stefan; Pomati, Francesco; Albert, Carlo; Kauf, Peter; Ott, Thomas,

  2014.

  The challenge of clustering flow cytometry data from phytoplankton in Lakes [Paper].

  In:

  Mladenov, V.M.; Ivanov, P.C., Hrsg.,

  Nonlinear Dynamics of Electronic Systems 22nd International Conference, NDES 2014, Albena, Bulgaria, July 4-6, 2014. Proceedings.

  NDES 2014, 22nd Nonlinear Dynamics of Electronic Systems Conference, Albena, Bulgaria, 4-6 July 2014.

  Cham:

  Springer.

  S. 379-386.

  Communications in Computer and Information Science ; 438.

  Verfügbar unter: https://doi.org/10.1007/978-3-319-08672-9_45

• Böck, Ronald; Glüge, Stefan; Siegert, Ingo; Wendemuth, Andreas,

  2013.

  Annotation and classification of changes of involvement in group conversation [Paper].

  In:

  Proceedings : 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction - ACII 2013.

  ACII 2013 Humaine Association Conference, Geneva, 2-5 September 2013.

  IEEE Institute of Electrical and Electronics Engineers.

  S. 803-808.

  Verfügbar unter: https://doi.org/10.1109/ACII.2013.150

• Ott, Thomas; Glüge, Stefan; Schüle, Martin; Hill, Christopher,

  2018.

  A dynamic network approach for the analysis of pathogen transmission chains.

  In:

  The 26th Nonlinear Dynamics of Electronic Systems Conference, (NDES 2018), Acireale, 11-13 June 2018.

Publikationen vor Tätigkeit an der ZHAW

2013:
Stefan Glüge, Ronald Böck, Andreas Wendemuth
Auto-Encoder Pre-Training of Segmented-Memory Recurrent Neural Networks. In Proceedings of European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2013), Louvain-la-Neuve: Ciaco, pp. 29–34, 2013.

Stefan Glüge, Andreas Wendemuth
Solving Number Series with Simple Recurrent Networks. Natural and Artificial Models in Computation and Biology, Springer Berlin Heidelberg, pp. 412-420, 2013.

Ronald Böck, Stefan Glüge, Andreas Wendemuth
Dempster-Shafer theory with smoothness. Integrated Uncertainty in Knowledge Modelling and Decision Making, Springer Berlin Heidelberg, pp.13-22, 2013.

2012:
Stefan Glüge, Ronald Böck, Andreas Wendemuth
Extension of Backpropagation Through Time for Segmented-Memory Recurrent Neural Networks. In Proceedings of the 4th International Joint Conference on Computational Intelligence (IJCCI), Setubal: SciTePress, pp. 451-456, 2012.

Ronald Böck, Stefan Glüge, Andreas Wendemuth, Kerstin Limbrecht, Steffen Walter, David Hrabal, Harald C. Traue
Intraindividual and interindividual multimodal emotion analyses in human-machine-interaction. In Proceedings of IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA 2012), Piscataway, NJ: IEEE, pp. 59–64, 2012.

Kim Hartmann, Ingo Siegert, Stefan Glüge, Andreas Wendemuth, Michael Kotzyba, Barbara Deml
Describing human emotions through mathematical modelling. MATHMOD, ARGESIM, ARGE Simulation News, Vienna Univ. of Technology, in total 6 pp., 2012.

Ingo Siegert, Kim Hartmann, Stefan Glüge, Andreas Wendemuth
Modelling of emotional development within human-computerinteraction. Proceedings des 2. interdisziplinären Workshops, Duisburg, Germany, 2012.

Ronald Böck, Kerstin Limbrecht, Ingo Siegert, Stefan Glüge, Steffen Walter, Andreas Wendemuth
Combining mimic and prosodic analyses for user disposition classification. Elektronische Sprachsignalverarbeitung (ESSV 2012), Dresden: TUDpress, pp. 220–227, 2012.

Michael Kotzyba, Barbara Deml, H. Neumann, Stefan Glüge, Kim Hartmann, Ingo Siegert, Andreas Wendemuth, Harald Traue, Steffen Walter
Emotion detection by event evaluation using fuzzy sets as appraisal variables. In Proceedings of the 11th International Conference on Cognitive Modeling, Universitätsverl. TU Berlin, pp. 123–124, 2012.

2011:
Stefan Glüge, Ronald Böck, Andreas Wendemuth
Segmented-Memory Recurrent Neural Networks versus Hidden Markov Models in Emotion Recognition from Speech. In Proceedings of the 3rd International Joint Conference on Computational Intelligence (IJCCI), pp. 308-315, 2011.

Stefan Glüge, Oussama H. Hamid, Jochen Braun, and Andreas Wendemuth
A Markov Model of Conditional Associative Learning in a Cognitive Behavioural Scenario. J.M. Ferrández et al. (Eds.): IWINAC 2011, Part I, LNCS 6686, pp. 10-19, 2011.

2010:
Stefan Glüge, Oussama Hamid, Andreas Wendemuth
A Simple Recurrent Network for Implicit Learning of Temporal Sequences. Cognitive Computation (Springer Journal), Volume 2, Number 4, pp. 265-271, 2010.
DOI: 10.1007/s12559-010-9066-z

Stefan Glüge, Ronald Böck, Andreas Wendemuth
IMPLICIT SEQUENCE LEARNING - A Case Study with a 4-2-4 Encoder Simple Recurrent Network. In Proceedings of the International Conference on Fuzzy Computation and 2nd International Conference on Neural Computation, pp. 279-288 (ICNC 2010), Valencia, Spain, October 2010.
DOI: 10.5220/0003061402790288

Stefan Glüge, Oussama Hamid, Andreas Wendemuth
Influence of the Temporal Context on a Simple Recurrent Network in a Classification Task. On 7th International Symposium on Neural Networks (ISNN 2010), Shanghai, China, June 2010.

Stefan Glüge and Andreas Wendemuth
Cognitive Science and Information. In Proceedings of 1st International Conference on What makes Humans Human (WMHH2010), Ulm, Germany, March 2010.

Stefan Glüge and Andreas Wendemuth
Implicit Sequence Learning by Recurrent Neural Networks. In Proceedings of Interdisciplinary College 2010(IK 2010), Günne, Germany, March 2010.

Tobias Grosser, V. Heine, Stefan Glüge, Ingo Siegert, J. Frommer, Andreas Wendemuth
Simulated group meetings-insights from sociology and engineering. International Conference on What makes Humans Human (WMHH2010), Ulm, Germany, March 2010.

2008:
Andreas Wendemuth, Stefan Glüge, Oussama H. Hamid
Neurobiologically inspired companion systems. Proceedings of the Workshop on Emotion-, Speech- and Face Recognition with Advanced Classifiers, Magdeburg: Univ., pp. 57–66, 2008.

2007:
F. Gronwald, S. Glüge, and J. Nitsch
On network representations of antennas inside resonating environments. Advances in Radio Science, 5, 157-162, 2007

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