Pauline Meyer-Heye

Orcid: 0000-0001-5957-2976

According to our database1, Pauline Meyer-Heye authored at least 10 papers between 2016 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Porosity Classification in High Pressure Die Casting Using Thermal Images and Sensor Data Fusion via Fuzzy Cognitive Maps.
Proceedings of the 21st International Conference on Computer Vision Theory and Applications, 2026

2025
Declarative Programming Approaches for Robust Anomaly Detection in HPDC Process Data.
Proceedings of the Distributed Computing and Artificial Intelligence, 2025

2024
Data Quality Strategies in Gas Metal Arc Welding Production for Machine Learning Applications.
Proceedings of the Distributed Computing and Artificial Intelligence, 2024

2020
On-line anomaly detection with advanced independent component analysis of multi-variate residual signals from causal relation networks.
Inf. Sci., 2020

2019
Virtual Quality control using bidirectional LSTM networks and gradient boosting.
Proceedings of the 17th IEEE International Conference on Industrial Informatics, 2019

2018
Self-adaptive evolving forecast models with incremental PLS space updating for on-line prediction of micro-fluidic chip quality.
Eng. Appl. Artif. Intell., 2018

Evolving time-series based prediction models for quality criteria in a multi-stage production process.
Proceedings of the 2018 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2018

2017
Multi-objective knowledge-based strategy for process parameter optimization in Micro-fluidic chip production.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Self-Adaptive Time-Series Based Forecast Models for Predicting Quality Criteria in Microfluidics Chip Production.
Proceedings of the 3rd IEEE International Conference on Cybernetics, 2017

2016
MapView: Graphical Data Representation for Active Learning.
Proceedings of the Workshop on Active Learning: Applications, 2016


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