Patrick Zschech

Professor

Friedrich-Alexander Universität Erlangen-Nürnberg

Germany

Research Interests

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Articles (15)

Leveraging interpretable machine learning in intensive care

Year:

2024

A machine learning framework for interpretable predictions in patient pathways: The case of predicting ICU admission for patients with symptoms of sepsis

Year:

2024

Interpretable generalized additive neural networks

Year:

2024

Prescriptive analytics systems revised: a systematic literature review from an information systems perspective

Year:

2024

Survey and systematization of 3D object detection models and methods

Year:

2024

Generative AI

Year:

2023

Generative AI

Year:

2023

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

Year:

2023

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

Year:

2023

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

Year:

2023

A survey of image labelling for computer vision applications

Year:

2021

Machine learning and deep learning

Year:

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

Year:

2021

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

Year:

2020

Intelligent User Assistance for Automated Data Mining Method Selection

Year:

2020

Collaborators (3)

Kai Heinrich

Professor

Otto-von-Guericke Universität Magdeburg

GERMANY

Martin Matzner

Friedrich-Alexander Universität Erlangen-Nürnberg

GERMANY

Christian Janiesch

Technische Universität Dortmund

GERMANY

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