Hannes Vietz

About Hannes Vietz

Hannes Vietz, With an exceptional h-index of 5 and a recent h-index of 5 (since 2020), a distinguished researcher at Universität Stuttgart, specializes in the field of Machine Learning, Continual Learning, Synthetische Daten, Efficient Machine Learning.

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

Synthetic Data Generation for improving Deep Learning-based 5G Indoor Positioning

AI-Based Testing for Autonomous Vehicles

5G Indoor Positioning for Manufacturing using Convolutional Neural Networks

Synthetic training data generation for convolutional neural networks in vision applications

Trajectory Prediction of Moving Workers for Autonomous Mobile Robots on the Shop Floor

Deep learning-based 5G indoor positioning in a manufacturing environment

Industrielles Transfer-Lernen: Von der Wissenschaft in die Praxis

An approach to automatically generate test cases for AI-based autonomous heavy machinery

Hannes Vietz Information

University

Position

Wissenschaftlicher Mitarbeiter Institut für Automatisierungstechnik und Softwaresysteme

Citations(all)

285

Citations(since 2020)

284

Cited By

4

hIndex(all)

5

hIndex(since 2020)

5

i10Index(all)

4

i10Index(since 2020)

4

Email

University Profile Page

Google Scholar

Hannes Vietz Skills & Research Interests

Machine Learning

Continual Learning

Synthetische Daten

Efficient Machine Learning

Top articles of Hannes Vietz

Synthetic Data Generation for improving Deep Learning-based 5G Indoor Positioning

2023/9/12

AI-Based Testing for Autonomous Vehicles

2023/6/26

Michael Weyrich
Michael Weyrich

H-Index: 18

Hannes Vietz
Hannes Vietz

H-Index: 2

5G Indoor Positioning for Manufacturing using Convolutional Neural Networks

Procedia CIRP

2023/1/1

Synthetic training data generation for convolutional neural networks in vision applications

2022/9/6

Hannes Vietz
Hannes Vietz

H-Index: 2

Michael Weyrich
Michael Weyrich

H-Index: 18

Trajectory Prediction of Moving Workers for Autonomous Mobile Robots on the Shop Floor

2022/9/6

Deep learning-based 5G indoor positioning in a manufacturing environment

2022/9/6

Industrielles Transfer-Lernen: Von der Wissenschaft in die Praxis

atp magazin

2022/8/12

An approach to automatically generate test cases for AI-based autonomous heavy machinery

9. AutoTest Fachkonferenz

2022

Hannes Vietz
Hannes Vietz

H-Index: 2

Insights and example use cases on industrial transfer learning

Procedia CIRP

2022/1/1

A methodology to identify cognition gaps in visual recognition applications based on convolutional neural networks

2021/8/23

Data administration shell for data-science-driven development

Procedia CIRP

2021/1/1

A survey on long short-term memory networks for time series prediction

Procedia Cirp

2021/1/1

Continual learning of fault prediction for turbofan engines using deep learning with elastic weight consolidation

2020/9/8

See List of Professors in Hannes Vietz University(Universität Stuttgart)