Tatjana Legler

According to our database, Tatjana Legler authored at least 17 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Comparative Analysis of Synthetic Data Generation for Object Detection: CAD Models vs. 3D Scans of Industrial Items and Hybrid Approaches.

Abdullah Farrukh, Tatjana Legler, Achim Wagner, Martin Ruskowski

Proceedings of the 8th IEEE International Conference on Industrial Cyber-Physical Systems, 2025

Synthetic Data and Active Learning for Efficient Object Detection.

Hooman Tavakoli Ghinani, Nimesh Singh, Tatjana Legler, Achim Wagner, Martin Ruskowski

Proceedings of the Advanced Information Systems Engineering Workshops, 2025

2024

Adapting to Changes: A Novel Framework for Continual Machine Learning in Industrial Applications.

Jibinraj Antony, Dorotea Jalusic, Simon Bergweiler, Ákos Hajnal, Veronika Zlabravec, Márk Emodi, Dejan Strbad, Tatjana Legler, Attila Csaba Marosi

J. Grid Comput., December, 2024

Towards Robust Federated Image Classification: An Empirical Study of Weight Selection Strategies in Manufacturing.

Vinit Hegiste, Tatjana Legler, Martin Ruskowski

CoRR, 2024

Seamless Integration: Sampling Strategies in Federated Learning Systems.

Tatjana Legler, Vinit Hegiste, Martin Ruskowski

CoRR, 2024

Enhancing Object Detection with Hybrid dataset in Manufacturing Environments: Comparing Federated Learning to Conventional Techniques.

Vinit Hegiste, Snehal Walunj, Jibinraj Antony, Tatjana Legler, Martin Ruskowski

CoRR, 2024

FedAD-Bench: A Unified Benchmark for Federated Unsupervised Anomaly Detection in Tabular Data.

Ahmed Anwar, Brian B. Moser, Dayananda Herurkar, Federico Raue, Vinit Hegiste, Tatjana Legler, Andreas Dengel

CoRR, 2024

Using In-Process Workpieces and Asset Administration Shells for Chaining Machining Skills.

Andreas Wagner, Tatjana Legler, Martin Ruskowski

Proceedings of the 6th International Conference on Industry 4.0 and Smart Manufacturing (ISM 2024), 2024

Addressing Heterogeneity in Federated Learning: Challenges and Solutions for a Shared Production Environment.

Tatjana Legler, Vinit Hegiste, Ahmed Anwar, Martin Ruskowski

Proceedings of the 6th International Conference on Industry 4.0 and Smart Manufacturing (ISM 2024), 2024

Exploring Historical Data Utilization in Skill-Based Production Systems.

Patrick Kremser, Tatjana Legler, Martin Ruskowski

Proceedings of the 6th International Conference on Industry 4.0 and Smart Manufacturing (ISM 2024), 2024

Enhancing flexibility in intralogistics 4.0 by using Services, Capabilities, and Skills.

Benjamin Blumhofer, Philipp Richard, Tatjana Legler, Martin Ruskowski

Proceedings of the 6th International Conference on Industry 4.0 and Smart Manufacturing (ISM 2024), 2024

Capability Skill Service Model as enabler for Intralogistics 4.0: A Review.

Benjamin Blumhofer, Marco Simon, Alexandra Ritter, Laura-Marie Weil, Tatjana Legler, Martin Ruskowski

Proceedings of the 7th IEEE International Conference on Industrial Cyber-Physical Systems, 2024

2023

Federated Object Detection for Quality Inspection in Shared Production.

Vinit Hegiste, Tatjana Legler, Martin Ruskowski

CoRR, 2023

Federated Ensemble YOLOv5 - A Better Generalized Object Detection Algorithm.

Vinit Hegiste, Tatjana Legler, Martin Ruskowski

Proceedings of the Eighth International Conference on Fog and Mobile Edge Computing, 2023

Federated Object Detection for Quality Inspection in Shared Production.

Vinit Hegiste, Tatjana Legler, Kirill Fridman, Martin Ruskowski

Proceedings of the Eighth International Conference on Fog and Mobile Edge Computing, 2023

2022

Application of federated learning in manufacturing.

Vinit Hegiste, Tatjana Legler, Martin Ruskowski

CoRR, 2022

2019

Special Issue on Smart Production.

Martin Ruskowski, Tatjana Legler, Michael Beetz, Georg Bartels

Künstliche Intell., 2019