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Assistant Professorship for Intelligent Information Systems
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  1. Friedrich-Alexander-Universität
  2. School of Business, Economics and Society

Assistant Professorship for Intelligent Information Systems

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  • About us
    • Our Team
      • Prof. Dr. Patrick Zschech
      • Nico Hambauer
      • Nazar El Saifi
      • Christopher Wissuchek
      • Alumni
        • Juliane Ort
        • Julian Rosenberger
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    Portal About us
  • Research
    • Interpretable Machine Learning
    • Industrial Data Science
    • Deep Vision Systems
    • Process Analytics
    • AI Adoption and Use
    • Data Science Qualification
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  • Teaching
    • Bachelor
      • Business Analytics: Technologien, Methoden und Konzepte
    • Master
      • Development of Deep Vision Systems
      • Natural Language Processing for Business Analytics
      • Business Analytics: Case Studies (Winter Term)
      • Business Analytics: Case Studies (Summer Term)
      • Business Analytics: Research Seminar (Winter Term)
      • Business Analytics: Research Seminar (Summer Term)
    • Theses
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  1. Home
  2. Research
  3. Publications
  4. Journal Articles

Journal Articles

In page navigation: Research
  • Interpretable Machine Learning
  • Industrial Data Science
  • Deep Vision Systems
  • Process Analytics
  • AI Adoption and Use
  • Data Science Qualification
  • Other Research
  • Publications
    • Journal Articles
    • Conference Articles
    • Book Chapters
    • Thesis
    • Others
  • Talks

Journal Articles

2023

  • Schoormann T., Strobel G., Möller F., Petrik D., Zschech P.:
    Artificial Intelligence for Sustainability—A Systematic Review of Information Systems Literature
    In: Communications of the Association for Information Systems 52 (2023), Article No.: 8
    ISSN: 1529-3181
    URL: https://aisel.aisnet.org/cais/vol52/iss1/8/

2022

  • Sager C., Zschech P., Kühl N.:
    labelCloud: A Lightweight Labeling Tool for Domain-Agnostic 3D Object Detection in Point Clouds
    In: Computer-Aided Design and Applications 19 (2022), p. 1191-1206
    ISSN: 1686-4360
    DOI: 10.14733/cadaps.2022.1191-1206
    URL: http://cad-journal.net/files/vol_19/CAD_19(6)_2022_1191-1206.pdf
  • Siebers P., Janiesch C., Zschech P.:
    A Survey of Text Representation Methods and Their Genealogy
    In: IEEE Access 10 (2022), p. 96492-96513
    ISSN: 2169-3536
    DOI: 10.1109/ACCESS.2022.3205719
  • Zschech P.:
    Beyond descriptive taxonomies in data analytics: a systematic evaluation approach for data-driven method pipelines
    In: Information Systems and E-Business Management (2022)
    ISSN: 1617-9846
    DOI: 10.1007/s10257-022-00577-0
  • Zschech P.:
    Beyond descriptive taxonomies in data analytics: a systematic evaluation approach for data-driven method pipelines
    In: Information Systems and E-Business Management (2022)
    ISSN: 1617-9846
    DOI: 10.1007/s10257-022-00577-0

2021

  • Heinrich K., Zschech P., Janiesch C., Bonin M.:
    Process Data Properties Matter: Introducing Gated Convolutional Neural Networks (GCNN) and Key-Value-Predict Attention Networks (KVP) for Next Event Prediction with Deep Learning
    In: Decision Support Systems (2021), p. 113494
    ISSN: 0167-9236
    DOI: 10.1016/j.dss.2021.113494
    URL: https://www.sciencedirect.com/science/article/pii/S016792362100004X?via=ihub
  • Janiesch C., Zschech P., Heinrich K.:
    Machine Learning and Deep Learning
    In: Electronic Markets 31 (2021), p. 685–695
    ISSN: 1019-6781
    DOI: 10.1007/s12525-021-00475-2
    URL: https://link.springer.com/article/10.1007/s12525-021-00475-2
  • Sager C., Janiesch C., Zschech P.:
    A Survey of Image Labelling for Computer Vision Applications
    In: Journal of Business Analytics 4 (2021), p. 91-110
    ISSN: 2573-234X
    DOI: 10.1080/2573234X.2021.1908861
  • Zschech P., Sager C., Siebers P., Pertermann M.:
    Mit Computer Vision zur automatisierten Qualitätssicherung in der industriellen Fertigung: Eine Fallstudie zur Klassifizierung von Fehlern in Solarzellen mittels Elektrolumineszenz-Bildern
    In: HMD : Praxis der Wirtschaftsinformatik (2021), p. 321–342
    ISSN: 1436-3011
    DOI: 10.1365/s40702-020-00641-8
    URL: https://link.springer.com/article/10.1365/s40702-020-00641-8

2020

  • Zschech P., Horn R., Hoeschele D., Janiesch C., Heinrich K.:
    Intelligent User Assistance for Automated Data Mining Method Selection
    In: Business & Information Systems Engineering 62 (2020), p. 227-247
    ISSN: 1867-0202
    DOI: 10.1007/s12599-020-00642-3
    URL: https://link.springer.com/article/10.1007/s12599-020-00642-3

2019

  • Heinrich K., Zschech P., Möller B., Breithaupt L., Maresch J.:
    Objekterkennung im Weinanbau – Eine Fallstudie zur Unterstützung von Winzertätigkeiten mithilfe von Deep Learning
    In: HMD : Praxis der Wirtschaftsinformatik 56 (2019), p. 964-985
    ISSN: 1436-3011
    DOI: 10.1365/s40702-019-00514-9
    URL: https://link.springer.com/article/10.1365/s40702-019-00514-9
  • Zschech P., Heinrich K., Bink R., Neufeld JS.:
    Prognostic Model Development with Missing Labels: A Condition-Based Maintenance Approach Using Machine Learning
    In: Business & Information Systems Engineering 61 (2019), p. 327-343
    ISSN: 1867-0202
    DOI: 10.1007/s12599-019-00596-1
    URL: https://link.springer.com/article/10.1007/s12599-019-00596-1

2018

  • Bink R., Zschech P.:
    Predictive Maintenance in der industriellen Praxis: Entwicklung eines Prognoseansatzes unter eingeschränkter Informationslage
    In: HMD : Praxis der Wirtschaftsinformatik 55 (2018), p. 552-565
    ISSN: 1436-3011
    DOI: 10.1365/s40702-017-0378-2
    URL: https://link.springer.com/article/10.1365/s40702-017-0378-2
  • Zschech P., Fleißner V., Baumgärtel N., Hilbert A.:
    Data Science Skills and Enabling Enterprise Systems: Eine Erhebung von Kompetenzanforderungen und Weiterbildungsangeboten
    In: HMD : Praxis der Wirtschaftsinformatik 55 (2018), p. 163-181
    ISSN: 1436-3011
    DOI: 10.1365/s40702-017-0376-4
    URL: https://link.springer.com/article/10.1365/s40702-017-0376-4

2017

  • Zschech P., Pfitzner M., Hilbert A.:
    Vom Controller zum Prozessanalysten
    In: Controlling & Management Review 61 (2017), p. 24-33
    ISSN: 2195-8262
    DOI: 10.1007/s12176-017-0031-5

2016

  • Hilbert A., Zschech P.:
    Process Analytics
    In: Das Wirtschaftsstudium 45 (2016), p. 942 - 948
    ISSN: 0340-3084
  • Schumann C., Zschech P., Hilbert A.:
    Das aufstrebende Berufsbild des Data Scientist: Vom Kompetenzwirrwarr zu spezifischen Anforderungsprofilen
    In: HMD : Praxis der Wirtschaftsinformatik 53 (2016), p. 453-466
    ISSN: 1436-3011
    DOI: 10.1365/s40702-016-0214-0
    URL: https://link.springer.com/article/10.1365/s40702-016-0214-0
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Assistant Professorship for Intelligent Information Systems

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