Patrick Zschech

Orcid: 0000-0002-1105-8086

Affiliations:
  • University of Erlangen-Nuremberg, Germany


According to our database1, Patrick Zschech authored at least 40 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Survey and systematization of 3D object detection models and methods.
Vis. Comput., March, 2024

Generative AI.
Bus. Inf. Syst. Eng., February, 2024

IGANN Sparse: Bridging Sparsity and Interpretability with Non-linear Insight.
CoRR, 2024

2023
Beyond descriptive taxonomies in data analytics: a systematic evaluation approach for data-driven method pipelines.
Inf. Syst. E Bus. Manag., March, 2023

Anomaly detection for industrial quality assurance: A comparative evaluation of unsupervised deep learning models.
Comput. Ind. Eng., March, 2023

Best of Both Worlds: Combining Predictive Power with Interpretable and Explainable Results for Patient Pathway Prediction.
Proceedings of the 31st European Conference on Information Systems, 2023

Survey and Systematization of Prescriptive Analytics Systems: Towards Archetypes from a Human-Machine-Collaboration Perspective.
Proceedings of the 31st European Conference on Information Systems, 2023

2022
Artificial Intelligence for Sustainability - A Systematic Review of Information Systems Literature.
Commun. Assoc. Inf. Syst., 2022

A Survey of Text Representation Methods and Their Genealogy.
IEEE Access, 2022

A Light in the Dark: Deep Learning Practices for Industrial Computer Vision.
Proceedings of the WI for Grand Challenges, 2022

GAM(e) changer or not? An evaluation of interpretable machine learning models based on additive model constraints.
Proceedings of the 30th European Conference on Information Systems, 2022

Where was COVID-19 first discovered? Designing a question-answering system for pandemic situations.
Proceedings of the 30th European Conference on Information Systems, 2022

2021
Mit Computer Vision zur automatisierten Qualitätssicherung in der industriellen Fertigung: Eine Fallstudie zur Klassifizierung von Fehlern in Solarzellen mittels Elektrolumineszenz-Bildern.
HMD Prax. Wirtsch., 2021

Machine learning and deep learning.
Electron. Mark., 2021

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., 2021

A survey of image labelling for computer vision applications.
CoRR, 2021

labelCloud: A Lightweight Domain-Independent Labeling Tool for 3D Object Detection in Point Clouds.
CoRR, 2021

Tweeting in IIoT Ecosystems - Empirical Insights from Social Media Analytics about IIoT Platforms.
Proceedings of the Software Management 2021: Software Management in Zeiten digitalisierter und vernetzter Produkte, 2021

A Picture is Worth a Collaboration: Accumulating Design Knowledge for Computer-Vision-based Hybrid Intelligence Systems.
Proceedings of the 29th European Conference on Information Systems, 2021

2020
Intelligent User Assistance for Automated Data Mining Method Selection.
Bus. Inf. Syst. Eng., 2020

Ein Vergleich aktueller Deep-Learning-Architekturen zur Prognose von Prozessverhalten.
Proceedings of the Entwicklungen, 2020

Review and Systematization of Solutions for 3D Object Detection.
Proceedings of the Entwicklungen, 2020

How Much AI Do You Require? Decision Factors for Adopting AI Technology.
Proceedings of the 41st International Conference on Information Systems, 2020

White, Grey, Black: Effects of XAI Augmentation on the Confidence in AI-based Decision Support Systems.
Proceedings of the 41st International Conference on Information Systems, 2020

Fool me Once, shame on You, Fool me Twice, shame on me: a Taxonomy of Attack and de-Fense Patterns for AI Security.
Proceedings of the 28th European Conference on Information Systems, 2020

2019
Objekterkennung im Weinanbau - Eine Fallstudie zur Unterstützung von Winzertätigkeiten mithilfe von Deep Learning.
HMD Prax. Wirtsch., 2019

Prognostic Model Development with Missing Labels - A Condition-Based Maintenance Approach Using Machine Learning.
Bus. Inf. Syst. Eng., 2019

Application of Process Mining Techniques to Support Maintenance-Related Objectives.
Proceedings of the Human Practice. Digital Ecologies. Our Future. 14. Internationale Tagung Wirtschaftsinformatik (WI 2019), 2019

Towards a Taxonomic Benchmarking Framework for Predictive Maintenance: The Case of NASA's Turbofan Degradation.
Proceedings of the 40th International Conference on Information Systems, 2019

Everything counts: a Taxonomy of Deep Learning Approaches for Object Counting.
Proceedings of the 27th European Conference on Information Systems, 2019

Towards a Text-based Recommender System for Data Mining Method Selection.
Proceedings of the 25th Americas Conference on Information Systems, 2019

Demystifying the Black Box: A Classification Scheme for Interpretation and Visualization of Deep Intelligent Systems.
Proceedings of the 25th Americas Conference on Information Systems, 2019

2018
Data Science Skills and Enabling Enterprise Systems.
HMD Prax. Wirtsch., 2018

Predictive Maintenance in der industriellen Praxis.
HMD Prax. Wirtsch., 2018

A Taxonomy of Recurring Data Analysis Problems in Maintenance Analytics.
Proceedings of the 26th European Conference on Information Systems: Beyond Digitization, 2018

Constituent Elements for Prescriptive Analytics Systems.
Proceedings of the 26th European Conference on Information Systems: Beyond Digitization, 2018

Analyzing Influences on Pivotal ITO Contract Features: A Quantitative Multi-Study Design with Evidence from Western Europe.
Proceedings of the 24th Americas Conference on Information Systems, 2018

2017
Are You up for the Challenge? Towards the Development of a Big Data Capability Assessment Model.
Proceedings of the 25th European Conference on Information Systems, 2017

2016
Das aufstrebende Berufsbild des Data Scientist.
HMD Prax. Wirtsch., 2016

2014
Existieren Wissensmanagement-Schulen? Eine Clusteranalyse von Wissensmanagement-Beiträgen aus den letzten 10 Jahren.
Proceedings of the Gemeinschaften in Neuen Medien (GeNeMe) 2014, Dresden, 2014


  Loading...