Thomas Radauer

According to our database1, Thomas Radauer authored at least 15 papers between 2014 and 2021.

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

Timeline

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Bibliography

2021
A soft-computing framework for automated optimization of multiple product quality criteria with application to micro-fluidic chip production.
Appl. Soft Comput., 2021

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

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
Explaining classifier decisions linguistically for stimulating and improving operators labeling behavior.
Inf. Sci., 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
On improving performance of surface inspection systems by online active learning and flexible classifier updates.
Mach. Vis. Appl., 2016

Recognizing input space and target concept drifts in data streams with scarcely labeled and unlabelled instances.
Inf. Sci., 2016

Advanced linguistic explanations of classifier decisions for users' annotation support.
Proceedings of the 8th IEEE International Conference on Intelligent Systems, 2016

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

2015
Integrating new classes on the fly in evolving fuzzy classifier designs and their application in visual inspection.
Appl. Soft Comput., 2015

Fast and economic integration of new classes on the fly in evolving fuzzy classifiers using class decomposition.
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015

Drift detection in data stream classification without fully labelled instances.
Proceedings of the 2015 IEEE International Conference on Evolving and Adaptive Intelligent Systems, 2015

2014
Dynamic Inclusion of New Event Types in Visual Inspection Using Evolving Classifiers.
Proceedings of the 13th International Conference on Machine Learning and Applications, 2014


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