Assistant Professorship for Intelligent Information Systems

Prognostic Model Development with Missing Labels: A Condition-Based Maintenance Approach Using Machine Learning (2019) Zschech P, Heinrich K, Bink R, Neufeld JS Journal article Objekterkennung im Weinanbau – Eine Fallstudie zur Unterstützung von Winzertätigkeiten mithilfe von Deep Learning (2019) Heinrich K, Zschech P, Möller B, Breithaupt L, Maresch J Journal article Is Bigger Always Better? Lessons Learnt from the Evolution of Deep Learning Architectures for Image Classification (2019) Heinrich K, Möller B, Janiesch C, Zschech P Conference contribution Application of Process Mining Techniques to Support Maintenance-Related Objectives (2019) Horn R, Zschech P Conference contribution Demystifying the Black Box: A Classification Scheme for Interpretation and Visualization of Deep Intelligent Systems (2019) Heinrich K, Zschech P, Skouti T, Griebenow J, Riechert S Conference contribution Towards a Text-based Recommender System for Data Mining Method Selection (2019) Zschech P, Heinrich K, Horn R, Hoeschele D Conference contribution, Conference Contribution Towards a Taxonomic Benchmarking Framework for Predictive Maintenance: The Case of NASA’s Turbofan Degradation (2019) Zschech P, Bernien J, Heinrich K Conference contribution, Conference Contribution Everything Counts: A Taxonomy of Deep Learning Approaches for Object Counting (2019) Heinrich K, Roth A, Zschech P Conference contribution, Conference Contribution Predictive Maintenance in der industriellen Praxis: Entwicklung eines Prognoseansatzes unter eingeschränkter Informationslage (2018) Bink R, Zschech P Journal article Data Science Skills and Enabling Enterprise Systems: Eine Erhebung von Kompetenzanforderungen und Weiterbildungsangeboten (2018) Zschech P, Fleißner V, Baumgärtel N, Hilbert A Journal article