Patrick Zschech

About Patrick Zschech

Patrick Zschech, With an exceptional h-index of 16 and a recent h-index of 16 (since 2020), a distinguished researcher at Friedrich-Alexander-Universität Erlangen-Nürnberg, specializes in the field of Business Analytics, Decision Support Systems, Deep Learning, Interpretable Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Survey and systematization of 3D object detection models and methods

IGANN Sparse: Bridging Sparsity and Interpretability with Non-linear Insight

Interpretable Generalized Additive Neural Networks

Survey and Systematization of Prescriptive Analytics Systems: Towards Archetypes from a Human-Machine-Collaboration Perspective

Best of Both Worlds: Combining Predictive Power with Interpretable and Explainable Results for Patient Pathway Prediction

Anomaly detection for industrial quality assurance: A comparative evaluation of unsupervised deep learning models

Beyond descriptive taxonomies in data analytics: a systematic evaluation approach for data-driven method pipelines

Implementing Digital Responsibility through Information Systems Research: A Delphi Study of Objectives, Activities, and Challenges in IS Research

Patrick Zschech Information

University

Position

___

Citations(all)

1895

Citations(since 2020)

1877

Cited By

147

hIndex(all)

16

hIndex(since 2020)

16

i10Index(all)

27

i10Index(since 2020)

27

Email

University Profile Page

Google Scholar

Patrick Zschech Skills & Research Interests

Business Analytics

Decision Support Systems

Deep Learning

Interpretable Machine Learning

Top articles of Patrick Zschech

Survey and systematization of 3D object detection models and methods

2024/3

IGANN Sparse: Bridging Sparsity and Interpretability with Non-linear Insight

2024

Patrick Zschech
Patrick Zschech

H-Index: 6

Mathias Kraus
Mathias Kraus

H-Index: 6

Interpretable Generalized Additive Neural Networks

European Journal of Operational Research

2023/6/22

Survey and Systematization of Prescriptive Analytics Systems: Towards Archetypes from a Human-Machine-Collaboration Perspective

2023/6

Patrick Zschech
Patrick Zschech

H-Index: 6

Best of Both Worlds: Combining Predictive Power with Interpretable and Explainable Results for Patient Pathway Prediction

2023

Anomaly detection for industrial quality assurance: A comparative evaluation of unsupervised deep learning models

Computers & Industrial Engineering

2023/3/1

Mathias Kraus
Mathias Kraus

H-Index: 6

Patrick Zschech
Patrick Zschech

H-Index: 6

Beyond descriptive taxonomies in data analytics: a systematic evaluation approach for data-driven method pipelines

Information Systems and e-Business Management

2023/3

Patrick Zschech
Patrick Zschech

H-Index: 6

Artificial Intelligence for Sustainability—A Systematic Review of Information Systems Literature

Communications of the Association for Information Systems

2022/11

A Survey of Text Representation Methods and Their Genealogy

IEEE Access

2022/9/12

Christian Janiesch
Christian Janiesch

H-Index: 17

Patrick Zschech
Patrick Zschech

H-Index: 6

A Light in the Dark: Deep Learning Practices for Industrial Computer Vision

arXiv preprint arXiv:2201.02028

2022/1/6

GAM (e) changer or not? An evaluation of interpretable machine learning models based on additive model constraints

2022/4/19

Where Was COVID-19 First Discovered? Designing a Question-Answering System for Pandemic Situations

arXiv preprint arXiv:2204.08787

2022/4/19

labelCloud: A Lightweight Labeling Tool for Domain-Agnostic 3D Object Detection in Point Clouds

Computer-Aided Design and Applications

2022/3

Christoph Sager
Christoph Sager

H-Index: 1

Patrick Zschech
Patrick Zschech

H-Index: 6

Machine learning and deep learning

Elgar Encyclopedia of Technology and Politics; Edward Elgar Publishing: Cheltenham, UK

2022/10/11

A survey of image labelling for computer vision applications

Journal of Business Analytics

2021/7/3

Mit Computer Vision zur automatisierten Qualitätssicherung in der industriellen Fertigung: Eine Fallstudie zur Klassifizierung von Fehlern in Solarzellen mittels …

HMD Praxis der Wirtschaftsinformatik

2021/4

Patrick Zschech
Patrick Zschech

H-Index: 6

Christoph Sager
Christoph Sager

H-Index: 1

labelcloud: A lightweight domain-independent labeling tool for 3d object detection in point clouds

arXiv preprint arXiv:2103.04970

2021/3/5

Process data properties matter: Introducing gated convolutional neural networks (GCNN) and key-value-predict attention networks (KVP) for next event prediction with deep learning

Decision Support Systems

2021/4/1

A picture is worth a collaboration: accumulating design knowledge for computer-vision-based hybrid intelligence systems

arXiv preprint arXiv:2104.11600

2021/4/23

See List of Professors in Patrick Zschech University(Friedrich-Alexander-Universität Erlangen-Nürnberg)

Co-Authors

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