197 citations
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- Johannes Kepler University of LinzAT33 papers
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4 papers · 1 filter
Surrogate Modeling for Explainable Predictive Time Series Corrections
Alfredo Lopez, Florian Sobieczky
We introduce a local surrogate approach for explainable time-series forecasting. An initially non-interpretable predictive model to improve the forecast of a classical time-series…
Graph-based calibration transfer
Ramin Nikzad-Langerodi, Florian Sobieczky
The problem of transferring calibrations from a primary to a secondary instrument, i.e. calibration transfer (CT), has been a matter of considerable research in chemometrics over t…
On generalization in moment-based domain adaptation
Werner Zellinger, Bernhard A Moser, Susanne Saminger-Platz
Domain adaptation algorithms are designed to minimize the misclassification risk of a discriminative model for a target domain with little training data by adapting a model from a…
Robust Unsupervised Domain Adaptation for Neural Networks via Moment Alignment
Werner Zellinger, Bernhard A. Moser, Thomas Grubinger +3
A novel approach for unsupervised domain adaptation for neural networks is proposed. It relies on metric-based regularization of the learning process. The metric-based regularizati…