2019 |
Holst, Christoph-Alexander; Lohweg, Volker Feature fusion to increase the robustness of machine learners in industrial environments Artikel at - Automatisierungstechnik, 67 (10), S. 853–865, 2019. @article{holst2019feature, title = {Feature fusion to increase the robustness of machine learners in industrial environments}, author = {Christoph-Alexander Holst and Volker Lohweg}, doi = {10.1515/auto-2019-0028}, year = {2019}, date = {2019-01-01}, journal = {at - Automatisierungstechnik}, volume = {67}, number = {10}, pages = {853--865}, keywords = {}, pubstate = {published}, tppubtype = {article} } |
Pfannschmidt, Lukas; Jakob, Jonathan; Biehl, Michael; Tino, Peter; Hammer, Barbara Feature Relevance Bounds for Ordinal Regression Artikel arXiv preprint arXiv:1902.07662, 2019. @article{pfannschmidt2019feature, title = {Feature Relevance Bounds for Ordinal Regression}, author = {Lukas Pfannschmidt and Jonathan Jakob and Michael Biehl and Peter Tino and Barbara Hammer}, year = {2019}, date = {2019-01-01}, journal = {arXiv preprint arXiv:1902.07662}, keywords = {}, pubstate = {published}, tppubtype = {article} } |
Brinkrolf, Johannes; Hammer, Barbara Time integration and reject options for probabilistic output of pairwise LVQ Artikel Neural Computing and Applications, S. 1–14, 2019. @article{brinkrolf2019time, title = {Time integration and reject options for probabilistic output of pairwise LVQ}, author = {Johannes Brinkrolf and Barbara Hammer}, year = {2019}, date = {2019-01-01}, journal = {Neural Computing and Applications}, pages = {1--14}, publisher = {Springer}, keywords = {}, pubstate = {published}, tppubtype = {article} } |
Bifet, Albert; Hammer, Barbara; Schleif, Frank-Michael Streaming data analysis, concept drift and analysis of dynamic data sets Artikel Proc. European Symposium on Artificial Neural Networks, 2019. @article{bifet2019streaming, title = {Streaming data analysis, concept drift and analysis of dynamic data sets}, author = {Albert Bifet and Barbara Hammer and Frank-Michael Schleif}, year = {2019}, date = {2019-01-01}, journal = {Proc. European Symposium on Artificial Neural Networks}, keywords = {}, pubstate = {published}, tppubtype = {article} } |
Göpfert, Christina; Ben-David, Shai; Bousquet, Olivier; Gelly, Sylvain; Tolstikhin, Ilya; Urner, Ruth When can unlabeled data improve the learning rate? Artikel arXiv preprint arXiv:1905.11866, 2019. @article{gopfert2019can, title = {When can unlabeled data improve the learning rate?}, author = {Christina Göpfert and Shai Ben-David and Olivier Bousquet and Sylvain Gelly and Ilya Tolstikhin and Ruth Urner}, year = {2019}, date = {2019-01-01}, journal = {arXiv preprint arXiv:1905.11866}, keywords = {}, pubstate = {published}, tppubtype = {article} } |
Eiteneuer, Benedikt; Hranisavljevic, Nemanja; Niggemann, Oliver Dimensionality Reduction and Anomaly Detection for CPPS Data using Autoencoder. Artikel International Conference on Industrial Technology, 2019. @article{eiteneuer2019dimensionality, title = {Dimensionality Reduction and Anomaly Detection for CPPS Data using Autoencoder.}, author = {Benedikt Eiteneuer and Nemanja Hranisavljevic and Oliver Niggemann}, year = {2019}, date = {2019-01-01}, journal = {International Conference on Industrial Technology}, keywords = {}, pubstate = {published}, tppubtype = {article} } |
