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Nils Thoma
Nils Thoma
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Deepalign: Alignment-based process anomaly correction using recurrent neural networks
T Nolle, A Seeliger, N Thoma, M Mühlhäuser
International Conference on Advanced Information Systems Engineering, 319-333, 2020
302020
RECOWNs: Probabilistic Circuits for Trustworthy Time Series Forecasting
N Thoma, Z Yu, F Ventola, K Kersting
arXiv preprint arXiv:2106.04148, 2021
62021
Predictive Whittle Networks for Time Series
Z Yu, F Ventola, N Thoma, DS Dhami, M Mundt, K Kersting
The 38th Conference on Uncertainty in Artificial Intelligence, 2022
32022
Learning to Detect Personal Information in German Text Documents
N Thoma
Technische Universität, 2018
2018
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Artiklar 1–4