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1Analytics-enabled escalation management: System development and business value assessment
F. Oberdorf, N. Stein, and C. Flath. Computers in Industry (2021)
3 days ago by @cflath
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1Digitalisierungspotenziale der Instandhaltung 4.0: Von der Aufbereitung binärer Daten zum Einsatz transparenter künstlicher Intelligenz
J. Wanner, L. Herm, and C. Janiesch. IoT – Best Practices Internet der Dinge: Geschäftsmodellinnovationen, IoT-Plattformen, IoT in Fertigung und Logistik , Springer Vieweg, Wiesbaden, (2021)
6 days ago by @famerlor
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1Analytics Applications in Fashion Supply Chain Management - A Review of Literature and Practice
C. Stahl, N. Stein, and C. Flath. IEEE Transactions on Engineering Management (2021)
19 days ago by @cflath
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1Supplementary Material for "I DON’T GET IT, BUT IT SEEMS VALID! THE CONNECTION BETWEEN EXPLAINABILITY AND COMPREHENSIBILITY IN (X)AI RESEARCH"
L. Herm, J. Wanner, F. Seubert, and C. Janiesch. (2021)
a month ago by @famerlor
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1A Consolidated Framework for Implementing Robotic Process Automation Projects (Extended Abstract)
L. Herm, C. Janiesch, A. Helm, F. Imgrund, K. Fuchs, A. Hofmann, and A. Winkelmann. 11th International Workshop on Enterprise Modeling and Information Systems Architectures (EMISA). Lecture Notes in Informatics , Kiel, Gesellschaft für Informatik, (2021)
2 months ago by @famerlor
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1Machine Learning and Deep Learning
C. Janiesch, P. Zschech, and K. Heinrich. Electronic Markets (2021)
2 months ago by @famerlor
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1A Survey of Image Labelling for Computer Vision Applications
C. Sager, C. Janiesch, and P. Zschech. Journal of Business Analytics (2021)
2 months ago by @famerlor
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1Entscheidungsunterstützung mit KI: Eine Analyse technischer und sozialer Faktoren für die industrielle Instandhaltung in Deutschland
J. Wanner, L. Herm, K. Fuchs, A. Winkelmann, and C. Janiesch. INDUSTRIE 4.0 Management 2 (37): 39-43 (2021)
2 months ago by @famerlor
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1Adoption Barriers of AI: A Context-Specific Acceptance Model for Industrial Maintenance
J. Wanner, L. Popp, K. Fuchs, L. Herm, and C. Janiesch. 29h European Conference on Information Systems (ECIS) , page conditionally accepted. AIS Virtual Conference Series, AIS, (2021)
2 months ago by @famerlor
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1I don’t get it, but it seems valid! The Connection Between Explainability and Comprehensibility in (X)AI Research
L. Herm, J. Wanner, F. Seubert, and C. Janiesch. 29th European Conference on Information Systems (ECIS) , page conditionally accepted. AIS Virtual Conference Series, AIS, (2021)
2 months ago by @famerlor
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1Supplementary Material for "Process Data Properties Matter: Introducing Gated Convolutional Neural Networks (GCNN) and Key-Value-Predict Attention Networks (KVP) for Next Event Prediction with Deep Learning"
K. Heinrich, P. Zschech, C. Janiesch, and M. Bonin. (2021)
4 months ago by @famerlor
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1Process Data Properties Matter: Introducing Gated Convolutional Neural Networks (GCNN) and Key-Value-Predict Attention Networks (KVP) for Next Event Prediction with Deep Learning
K. Heinrich, P. Zschech, C. Janiesch, and M. Bonin. Decision Support Systems (2021)
4 months ago by @famerlor
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1Catch me if You Scan: Data-Driven Prescriptive Modeling for Smart Store Environments
M. Hauser, C. Flath, and F. Thiesse. European Journal of Operational Research (2021)
5 months ago by @cflath
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1On the Composition of the Long Tail of Business Processes: Implications from a Process Mining Study
M. Fischer, A. Hofmann, F. Imgrund, C. Janiesch, and A. Winkelmann. Information Systems (2021)
5 months ago by @famerlor
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1Managing RPA Implementation Projects: A Framework Applied at SYSTHEMIS AG
L. Herm, C. Janiesch, T. Steinbach, and D. Wüller. Robotic Process Automation , De Gruyter, Berlin, (2021)
6 months ago by @famerlor
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1On the objectivity, reliability, and validity of deep learning enabled bioimage analyses
D. Segebarth, M. Griebel, N. Stein, C. von Collenberg, C. Martin, D. Fiedler, L. Comeras, A. Sah, V. Schoeffler, T. Lueffe, and C. Flath. eLife (2020)
7 months ago by @cflath
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1Geschäftsprozessmanagementsysteme und Robotic Process Automation
C. Janiesch. Prozessmanagement und Process-Mining , De Gruyter, Berlin, (2020)
7 months ago by @famerlor
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1Data-Driven Cycling Policy Guidance using GIS
F. Oberdorf, N. Stein, and C. Flath. Proceedings of the 41st International Conference on Information Systems (ICIS) , (2020)
8 months ago by @cflath
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1Support Your Local: IS-Based Collaborative Delivery Service for Urban Communities
T. Greif, N. Stein, and C. Flath. Proceedings of the 41st International Conference on Information Systems (ICIS) , (2020)
8 months ago by @cflath
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1ADR for Big-Data IT Artifact Development: An Escalation Management Example
F. Oberdorf, N. Stein, N. Walk, M. Griebel, and C. Flath. Proceedings of the 41st International Conference on Information Systems (ICIS) , (2020)
8 months ago by @cflath
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BibSonomy

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1Analytics-enabled escalation management: System development and business value assessment

1Digitalisierungspotenziale der Instandhaltung 4.0: Von der Aufbereitung binärer Daten zum Einsatz transparenter künstlicher Intelligenz

1Analytics Applications in Fashion Supply Chain Management - A Review of Literature and Practice

1Supplementary Material for "I DON’T GET IT, BUT IT SEEMS VALID! THE CONNECTION BETWEEN EXPLAINABILITY AND COMPREHENSIBILITY IN (X)AI RESEARCH"

1A Consolidated Framework for Implementing Robotic Process Automation Projects (Extended Abstract)

1Machine Learning and Deep Learning

1A Survey of Image Labelling for Computer Vision Applications

1Entscheidungsunterstützung mit KI: Eine Analyse technischer und sozialer Faktoren für die industrielle Instandhaltung in Deutschland

1Adoption Barriers of AI: A Context-Specific Acceptance Model for Industrial Maintenance

1I don’t get it, but it seems valid! The Connection Between Explainability and Comprehensibility in (X)AI Research

1Supplementary Material for "Process Data Properties Matter: Introducing Gated Convolutional Neural Networks (GCNN) and Key-Value-Predict Attention Networks (KVP) for Next Event Prediction with Deep Learning"

1Process Data Properties Matter: Introducing Gated Convolutional Neural Networks (GCNN) and Key-Value-Predict Attention Networks (KVP) for Next Event Prediction with Deep Learning

1Catch me if You Scan: Data-Driven Prescriptive Modeling for Smart Store Environments

1On the Composition of the Long Tail of Business Processes: Implications from a Process Mining Study

1Managing RPA Implementation Projects: A Framework Applied at SYSTHEMIS AG

1On the objectivity, reliability, and validity of deep learning enabled bioimage analyses

1Geschäftsprozessmanagementsysteme und Robotic Process Automation

1Data-Driven Cycling Policy Guidance using GIS

1Support Your Local: IS-Based Collaborative Delivery Service for Urban Communities

1ADR for Big-Data IT Artifact Development: An Escalation Management Example

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