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Institut für Wirtschaftsinformatik

Publikation

Seite 3 von 86.

  1. Sarah Rübel; Alexander Berrang; Cai Hussung; Tobias Mahl; Peter Fettke

    Charting the Course: A Business Model Taxonomy for LMS

    In: Eduardo Acosta Llano; Iain Bitran; Leandro Bitetti; Steffen Conn; Alex Mitsis; Paavo Ritala; Marko Torkkeli; Jialei Yang (Hrsg.). International Society for Professional Innovation Management Conference Proceedings. ISPIM Connects (ISPIM-2023), December 11-13, Salzburg, Austria, ISPIM, 12/2023.

  2. Tobias Mahl; Sarah Rübel; Cai Hussung; Christian Köhler

    Business Model Innovation in digital Eco-systems: E-learning Industry Use-Case

    In: Eduardo Acosta Llano; Iain Bitran; Leandro Bitetti; Steffen Conn; Alex Mitsis; Paavo Ritala; Marko Torkkeli; Jialei Yang (Hrsg.). International Society for Professional Innovation Management Conference Proceedings. ISPIM Connects (ISPIM-2023), December 11-13, Salzburg, Austria, ISPIM, 12/2023.

  3. AI-driven Knee Posture Detection in Cycle Training using IMUs

    In: Theresa Züger; Hadi Asghari (Hrsg.). AI Systems for the Public Interest. AI Systems for the Public Interest, located at 46th German Conference on Artificial Intelligence (KI 2023), September 26, Berlin, Germany, Humboldt Institute for Internet and Society (HIIG), 9/2023.

  4. Rolf Fricke; Friederike Fröbel; Tim Bibow; Patrick Stadler; Beate Prelle; Tobias Albert; Esther Zahn; Fabian Jaenicke; Clara Gleiß; Florian Krebs; Norbert Reithinger; Ido Klimovsky; Andreas Mischke; Dirk Werth

    Entwicklung personalisierter Wearables mit der MYOW Plattform

    In: Christoph Lattemann; Susanne Robra-Bissantz (Hrsg.). Personennahe Dienstleistungen der Zukunft. Chapter 15, Edition HMD, Vol. 1, ISBN 978-3-658-38812-6, Springer Vieweg, Wiesbaden, 5/2023.

  5. Johannes Lahann; Peter Pfeiffer; Peter Fettke

    LSTM-based Anomaly Detection of Process Instances: Benchmark and Tweaks

    In: Proceedings of the 4th International Conference on Process Mining (Workshops). International Conference on Process Mining (ICPM-2022), Process Mining Workshops, October 23-28, Bolzano, Italy, Lecture Notes in Business Information Processing, Springer, 2023.

  6. Peter Pfeiffer; Johannes Lahann; Peter Fettke

    The Label Ambiguity Problem in Process Prediction

    In: Cristina Cabanillas; Niels Frederik Garmann-Johnsen; Agnes Koschmider (Hrsg.). Business Process Management Workshops. International Workshop on Artificial Intelligence for Business Process Management (AI4BPM-2022), September 11-15, Münster, Germany, Pages 37-44, ISBN 978-3-031-25383-6, Springer International Publishing, 2023.

  7. Towards Process Representation Models for Business Process Management

    In: AAAI 2023 Bridge Program on Artificial Intelligence and Business Process Management. AAAI Workshops (AI4BPM@AAAI-2022), located at AAAI, February 7-8, Washington, DC, USA, online, 2023.

  8. Nele Brügge; Esfandiar Mohammadi; Alexander Münchau; Tobias Bäumer; Christian Frings; Christian Beste; Veit Roessner; Heinz Handels

    Towards Privacy and Utility in Tourette Tic Detection Through Pretraining Based on Publicly Available Video Data of Healthy Subjects

    In: IEEE ICASSP 2023 - Conference Proceedings. International Conference on Acoustics, Speech and Signal Processing (ICASSP-2023), June 4-10, Rhodes Island, Greece, ISBN 978-1-7281-6328-4, IEEE, 2023.

  9. Michael Grohs; Peter Pfeiffer; Jana-Rebecca Rehse

    Business Process Deviation Prediction: Predicting Non-Conforming Process Behavior

    In: 2023 5th International Conference on Process Mining (ICPM). International Conference on Process Mining (ICPM-2023), Pages 113-120, IEEE, 2023.

  10. Meike Ullrich; Constantin Houy; Tobias Stottrop; Michael Striewe; Brian Willems; Peter Fettke; Peter Loos; Andreas Oberweis

    Automated Assessment of Conceptual Models in Education - A Systematic Literature Review

    In: Enterprise Modelling and Information Systems Architectures - International Journal of Conceptual Modeling (EMISAJ), Vol. 18, No. 2 - Special Issue on Teaching and Learning Conceptual Modeling, Pages 1-36, GI, 2023.

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Tina Amas
Tel.: +49 681 85775 3106
Fax: +49 681 85775 3696


Deutsches Forschungszentrum für
Künstliche Intelligenz GmbH (DFKI)
Institut für Wirtschaftsinformatik (IWi)
Campus D3 2
Stuhlsatzenhausweg 3
66123 Saarbrücken
Deutschland