Patrick Zschech

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 50

Top Topics

Computer Vision

Generalized Additive

Top Venues

HMD Prax. Wirtsch.

Bus. Inf. Syst. Eng.

Publications

Sandra Zilker, Sven Weinzierl, Mathias Kraus, Patrick Zschech, Martin Matzner
A machine learning framework for interpretable predictions in patient pathways: The case of predicting ICU admission for patients with symptoms of sepsis. CoRR (2024)
Moritz Drobnitzky, Jonas Friederich, Bernhard Egger, Patrick Zschech
Survey and systematization of 3D object detection models and methods. Vis. Comput. 40 (3) (2024)
Stefan Feuerriegel, Jochen Hartmann, Christian Janiesch, Patrick Zschech
Generative AI. Bus. Inf. Syst. Eng. 66 (1) (2024)
Theodor Stoecker, Nico Hambauer, Patrick Zschech, Mathias Kraus
IGANN Sparse: Bridging Sparsity and Interpretability with Non-linear Insight. CoRR (2024)
Mathias Kraus, Daniel Tschernutter, Sven Weinzierl, Patrick Zschech
Interpretable generalized additive neural networks. Eur. J. Oper. Res. 317 (2) (2024)
Stefan Feuerriegel, Jochen Hartmann, Christian Janiesch, Patrick Zschech
Generative AI. CoRR (2023)
Sandra Zilker, Sven Weinzierl, Patrick Zschech, Mathias Kraus, Martin Matzner
Best of Both Worlds: Combining Predictive Power with Interpretable and Explainable Results for Patient Pathway Prediction. ECIS (2023)
Patrick Zschech
Beyond descriptive taxonomies in data analytics: a systematic evaluation approach for data-driven method pipelines. Inf. Syst. E Bus. Manag. 21 (1) (2023)
Justus Zipfel, Felix Verworner, Marco Fischer, Uwe Wieland, Mathias Kraus, Patrick Zschech
Anomaly detection for industrial quality assurance: A comparative evaluation of unsupervised deep learning models. Comput. Ind. Eng. 177 (2023)
Christopher Wissuchek, Patrick Zschech
Survey and Systematization of Prescriptive Analytics Systems: Towards Archetypes from a Human-Machine-Collaboration Perspective. ECIS (2023)
Johannes Graf, Gino Lancho, Patrick Zschech, Kai Heinrich
Where was COVID-19 first discovered? Designing a question-answering system for pandemic situations. ECIS (2022)
Patrick Zschech, Sven Weinzierl, Nico Hambauer, Sandra Zilker, Mathias Kraus
GAM(e) changer or not? An evaluation of interpretable machine learning models based on additive model constraints. ECIS (2022)
Philipp Siebers, Christian Janiesch, Patrick Zschech
A Survey of Text Representation Methods and Their Genealogy. CoRR (2022)
Moritz Drobnitzky, Jonas Friederich, Bernhard Egger, Patrick Zschech
Survey and Systematization of 3D Object Detection Models and Methods. CoRR (2022)
Patrick Zschech, Sven Weinzierl, Nico Hambauer, Sandra Zilker, Mathias Kraus
GAM(e) changer or not? An evaluation of interpretable machine learning models based on additive model constraints. CoRR (2022)
Maximilian Harl, Marvin Herchenbach, Sven Kruschel, Nico Hambauer, Patrick Zschech, Mathias Kraus
A Light in the Dark: Deep Learning Practices for Industrial Computer Vision. CoRR (2022)
Johannes Graf, Gino Lancho, Patrick Zschech, Kai Heinrich
Where Was COVID-19 First Discovered? Designing a Question-Answering System for Pandemic Situations. CoRR (2022)
Philipp Siebers, Christian Janiesch, Patrick Zschech
A Survey of Text Representation Methods and Their Genealogy. IEEE Access 10 (2022)
Maximilian V. Harl, Marvin Herchenbach, Sven Kruschel, Nico Hambauer, Patrick Zschech, Mathias Kraus
A Light in the Dark: Deep Learning Practices for Industrial Computer Vision. Wirtschaftsinformatik (2022)
Thorsten Schoormann, Gero Strobel, Frederik Möller, Dimitri Petrik, Patrick Zschech
Artificial Intelligence for Sustainability - A Systematic Review of Information Systems Literature. Commun. Assoc. Inf. Syst. 52 (2022)
Patrick Zschech, Jannis Walk, Kai Heinrich, Michael Vössing, Niklas Kühl
A Picture is Worth a Collaboration: Accumulating Design Knowledge for Computer-Vision-based Hybrid Intelligence Systems. ECIS (2021)
Christoph Sager, Christian Janiesch, Patrick Zschech
A survey of image labelling for computer vision applications. CoRR (2021)
Dimitri Petrik, Katharina Pantow, Patrick Zschech, Georg Herzwurm
Tweeting in IIoT Ecosystems - Empirical Insights from Social Media Analytics about IIoT Platforms. Wirtschaftsinformatik (2021)
Patrick Zschech, Jannis Walk, Kai Heinrich, Michael Vössing, Niklas Kühl
A Picture is Worth a Collaboration: Accumulating Design Knowledge for Computer-Vision-based Hybrid Intelligence Systems. CoRR (2021)
Christian Janiesch, Patrick Zschech, Kai Heinrich
Machine learning and deep learning. CoRR (2021)
Dimitri Petrik, Katharina Pantow, Patrick Zschech, Georg Herzwurm
Tweeting in IIoT Ecosystems - Empirical Insights from Social Media Analytics about IIoT Platforms. Software Management (2021)
Christian Janiesch, Patrick Zschech, Kai Heinrich
Machine learning and deep learning. Electron. Mark. 31 (3) (2021)
Patrick Zschech, Christoph Sager, Philipp Siebers, Maik Pertermann
Mit Computer Vision zur automatisierten Qualitätssicherung in der industriellen Fertigung: Eine Fallstudie zur Klassifizierung von Fehlern in Solarzellen mittels Elektrolumineszenz-Bildern. HMD Prax. Wirtsch. 58 (2) (2021)
Kai Heinrich, Patrick Zschech, Christian Janiesch, Markus Bonin
Process data properties matter: Introducing gated convolutional neural networks (GCNN) and key-value-predict attention networks (KVP) for next event prediction with deep learning. Decis. Support Syst. 143 (2021)
Christoph Sager, Patrick Zschech, Niklas Kühl
labelCloud: A Lightweight Domain-Independent Labeling Tool for 3D Object Detection in Point Clouds. CoRR (2021)
Kai Heinrich, Johannes Graf, Ji Chen, Jakob Laurisch, Patrick Zschech
Fool me Once, shame on You, Fool me Twice, shame on me: a Taxonomy of Attack and de-Fense Patterns for AI Security. ECIS (2020)
Jonas Wanner, Lukas-Valentin Herm, Kai Heinrich, Christian Janiesch, Patrick Zschech
White, Grey, Black: Effects of XAI Augmentation on the Confidence in AI-based Decision Support Systems. ICIS (2020)
Kai Heinrich, Patrick Zschech, Christian Janiesch, Markus Bonin
Ein Vergleich aktueller Deep-Learning-Architekturen zur Prognose von Prozessverhalten. Wirtschaftsinformatik (Zentrale Tracks) (2020)
Jonas Friederich, Patrick Zschech
Review and Systematization of Solutions for 3D Object Detection. Wirtschaftsinformatik (Zentrale Tracks) (2020)
Jonas Wanner, Kai Heinrich, Christian Janiesch, Patrick Zschech
How Much AI Do You Require? Decision Factors for Adopting AI Technology. ICIS (2020)
Patrick Zschech, Richard Horn, Daniel Höschele, Christian Janiesch, Kai Heinrich
Intelligent User Assistance for Automated Data Mining Method Selection. Bus. Inf. Syst. Eng. 62 (3) (2020)
Patrick Zschech, Jonas Bernien, Kai Heinrich
Towards a Taxonomic Benchmarking Framework for Predictive Maintenance: The Case of NASA's Turbofan Degradation. ICIS (2019)
Richard Horn, Patrick Zschech
Application of Process Mining Techniques to Support Maintenance-Related Objectives. Wirtschaftsinformatik (2019)
Kai Heinrich, Patrick Zschech, Tarek Skouti, Jakob Griebenow, Sebastian Riechert
Demystifying the Black Box: A Classification Scheme for Interpretation and Visualization of Deep Intelligent Systems. AMCIS (2019)
Kai Heinrich, Andreas Roth, Patrick Zschech
Everything counts: a Taxonomy of Deep Learning Approaches for Object Counting. ECIS (2019)
Kai Heinrich, Patrick Zschech, Björn Möller, Lukas Breithaupt, Johannes Maresch
Objekterkennung im Weinanbau - Eine Fallstudie zur Unterstützung von Winzertätigkeiten mithilfe von Deep Learning. HMD Prax. Wirtsch. 56 (5) (2019)
Patrick Zschech, Kai Heinrich, Raphael Bink, Janis S. Neufeld
Prognostic Model Development with Missing Labels - A Condition-Based Maintenance Approach Using Machine Learning. Bus. Inf. Syst. Eng. 61 (3) (2019)
Patrick Zschech, Kai Heinrich, Richard Horn, Daniel Höschele
Towards a Text-based Recommender System for Data Mining Method Selection. AMCIS (2019)
Patrick Zschech, Vera Fleißner, Nicole Baumgärtel, Andreas Hilbert
Data Science Skills and Enabling Enterprise Systems. HMD Prax. Wirtsch. 55 (1) (2018)
Patrick Zschech
A Taxonomy of Recurring Data Analysis Problems in Maintenance Analytics. ECIS (2018)
Michael Könning, Kai Heinrich, Patrick Zschech, Christian Leyh
Analyzing Influences on Pivotal ITO Contract Features: A Quantitative Multi-Study Design with Evidence from Western Europe. AMCIS (2018)
Raphael Bink, Patrick Zschech
Predictive Maintenance in der industriellen Praxis. HMD Prax. Wirtsch. 55 (3) (2018)
Karolin Stefani, Patrick Zschech
Constituent Elements for Prescriptive Analytics Systems. ECIS (2018)
Patrick Zschech, Kai Heinrich, Marcus Pfitzner, Andreas Hilbert
Are You up for the Challenge? Towards the Development of a Big Data Capability Assessment Model. ECIS (2017)
Conny Schumann, Patrick Zschech, Andreas Hilbert
Das aufstrebende Berufsbild des Data Scientist. HMD Prax. Wirtsch. 53 (4) (2016)
Paul Kruse, Christian Kummer, Patrick Zschech
Existieren Wissensmanagement-Schulen? Eine Clusteranalyse von Wissensmanagement-Beiträgen aus den letzten 10 Jahren. GeNeMe (2014)