Andre Schmeißer

Orcid: 0000-0002-4400-9635

According to our database1, Andre Schmeißer authored at least 11 papers between 2015 and 2025.

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

Timeline

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Bibliography

2025
Machine Learning-Augmented Boundary Value Problem Solvers for Optimizing Melt Spinning Processes.
Proceedings of the IEEE Conference on Artificial Intelligence, 2025

2024
Machine Learning Based Optimization Workflow for Tuning Numerical Settings of Differential Equation Solvers for Boundary Value Problems.
CoRR, 2024

Machine learning-based optimization workflow of the homogeneity of spunbond nonwovens with human validation.
CoRR, 2024

Informed Machine Learning for Optimizing Melt Spinning Processes.
Proceedings of the IEEE Conference on Artificial Intelligence, 2024

2022
Machine learning framework to predict nonwoven material properties from fiber graph representations.
Softw. Impacts, December, 2022

Visual Parameter Space Analysis for Optimizing the Quality of Industrial Nonwovens.
IEEE Computer Graphics and Applications, 2022

2019
Analysis of the fiber laydown quality in spunbond processes with simulation experiments evaluated by blocked neural networks.
CoRR, 2019

2017
Ensight4Matlab: read, process, and write files in EnSight® Gold format from C++ or MATLAB®.
J. Open Source Softw., 2017

2016
Contact Modeling Algorithms for Fiber Dynamics Simulations.
PhD thesis, 2016

In Situ Eddy Analysis in a High-Resolution Ocean Climate Model.
IEEE Trans. Vis. Comput. Graph., 2016

2015
Smooth convolution-based distance functions.
Graph. Model., 2015


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