Prof. Dr. Patrick Zschech

Picture of Patrick Zschech


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Types of publications

Journal article
Book chapter / Article in edited volumes
Authored book
Translation
Thesis
Edited Volume
Conference contribution
Other publication type
Unpublished / Preprint

Publication year

From
To

Abstract

Journal

Anomaly detection for industrial quality assurance: A comparative evaluation of unsupervised deep learning models (2023) Zipfel J, Verworner F, Fischer M, Wieland U, Kraus M, Zschech P Journal article Generative AI (2023) Feuerriegel S, Hartmann J, Janiesch C, Zschech P Journal article Best of both worlds: Combining predictive power with interpretable and explainable results for patient pathway prediction (2023) Zilker S, Weinzierl S, Zschech P, Kraus M, Matzner M Conference contribution, Conference Contribution Beyond descriptive taxonomies in data analytics: a systematic evaluation approach for data-driven method pipelines (2022) Zschech P Journal article Where Was COVID-19 First Discovered? Designing a Question-Answering System for Pandemic Situations (2022) Graf J, Lancho G, Zschech P, Heinrich K Conference contribution, Conference Contribution labelCloud: A Lightweight Labeling Tool for Domain-Agnostic 3D Object Detection in Point Clouds (2022) Sager C, Zschech P, Kühl N Journal article, Original article Beyond descriptive taxonomies in data analytics: a systematic evaluation approach for data-driven method pipelines (2022) Zschech P Journal article A Survey of Text Representation Methods and Their Genealogy (2022) Siebers P, Janiesch C, Zschech P Journal article GAM(e) changer or not? An evaluation of interpretable machine learning models based on additive model constraints (2022) Zschech P, Weinzierl S, Hambauer N, Zilker S, Kraus M Conference contribution, Conference Contribution A Light in the Dark: Deep Learning Practices for Industrial Computer Vision (2022) Harl M, Herchenbach M, Kruschel S, Hambauer N, Zschech P, Kraus M Conference contribution, Conference Contribution