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Oliver Neumann
Oliver Neumann
Verified email at kit.edu - Homepage
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Year
pyWATTS: Python workflow automation tool for time series
B Heidrich, A Bartschat, M Turowski, O Neumann, K Phipps, ...
arXiv preprint arXiv:2106.10157, 2021
232021
Automated annotator variability inspection for biomedical image segmentation
MP Schilling, T Scherr, FR Münke, O Neumann, M Schutera, R Mikut, ...
IEEE access 10, 2753-2765, 2022
172022
CoNIC Challenge: Pushing the frontiers of nuclear detection, segmentation, classification and counting
S Graham, QD Vu, M Jahanifar, M Weigert, U Schmidt, W Zhang, J Zhang, ...
Medical image analysis 92, 103047, 2024
122024
microbeSEG: A deep learning software tool with OMERO data management for efficient and accurate cell segmentation
T Scherr, J Seiffarth, B Wollenhaupt, O Neumann, MP Schilling, ...
Plos one 17 (11), e0277601, 2022
10*2022
Modeling and generating synthetic anomalies for energy and power time series
M Turowski, M Weber, O Neumann, B Heidrich, K Phipps, HK Çakmak, ...
Proceedings of the Thirteenth ACM International Conference on Future Energy …, 2022
102022
Ciscnet-a single-branch cell nucleus instance segmentation and classification network
M Böhland, O Neumann, MP Schilling, M Reischl, R Mikut, K Löffler, ...
2022 IEEE International Symposium on Biomedical Imaging Challenges (ISBIC), 1-5, 2022
10*2022
On improving an already competitive segmentation algorithm for the Cell Tracking Challenge-lessons learned
T Scherr, K Löffler, O Neumann, R Mikut
bioRxiv, 2021.06. 26.450019, 2021
102021
Enhancing anomaly detection methods for energy time series using latent space data representations
M Turowski, B Heidrich, K Phipps, K Schmieder, O Neumann, R Mikut, ...
Proceedings of the Thirteenth ACM International Conference on Future Energy …, 2022
62022
Evaluation of transformer architectures for electrical load time-series forecasting
M Hertel, S Ott, B Schäfer, R Mikut, V Hagenmeyer, O Neumann
Proceedings 32. Workshop Computational Intelligence 1, 93, 2022
52022
ObiWan-Microbi: OMERO-based integrated workflow for annotating microbes in the cloud
J Seiffarth, T Scherr, B Wollenhaupt, O Neumann, H Scharr, D Kohlheyer, ...
SoftwareX 26, 101638, 2024
42024
ProbPNN: Enhancing Deep Probabilistic Forecasting with Statistical Information
B Heidrich, K Phipps, O Neumann, M Turowski, R Mikut, V Hagenmeyer
arXiv preprint arXiv:2302.02597, 2023
42023
Transformer training strategies for forecasting multiple load time series
M Hertel, M Beichter, B Heidrich, O Neumann, B Schäfer, R Mikut, ...
Energy Informatics 6 (Suppl 1), 20, 2023
32023
A computational workflow for interdisciplinary deep learning projects utilizing bwHPC infrastructure
MP Schilling, O Neumann, T Scherr, H Cui, AA Popova, PA Levkin, ...
Proceedings of the 7th bwHPC Symposium 7, 69-74, 2022
32022
Transformer neural networks for building load forecasting
M Hertel, S Ott, B Schäfer, R Mikut, V Hagenmeyer, O Neumann
Tackling Climate Change with Machine Learning: Workshop at NeurIPS, 2022
32022
Using weather data in energy time series forecasting: the benefit of input data transformations
O Neumann, M Turowski, R Mikut, V Hagenmeyer, N Ludwig
Energy Informatics 6 (1), 44, 2023
22023
Smart data representations: impact on the accuracy of deep neural networks
O Neumann, N Ludwig, M Turowski, B Heidrich, V Hagenmeyer, R Mikut
Proceedings 31 workshop computational intelligence, 113-130, 2021
22021
Managing Anomalies in Energy Time Series for Automated Forecasting
M Turowski, O Neumann, L Mannsperger, K Kraus, K Layer, R Mikut, ...
Energy Informatics Academy Conference, 3-29, 2023
12023
MLOps for Scarce Image Data: A Use Case in Microscopic Image Analysis
AY Sitcheu, N Friederich, S Baeuerle, O Neumann, M Reischl, R Mikut
Proceedings-33. Workshop Computational Intelligence: Berlin, 23.-24 …, 2023
12023
AI-based automated active learning for discovery of hidden dynamic processes: A use case in light microscopy
N Friederich, AJ Yamachui Sitcheu, O Neumann, S Eroglu-Kayıkçı, ...
Proceedings-33. Workshop Computational Intelligence: Berlin, 23.-24 …, 2023
12023
EasyMLServe: Easy deployment of REST machine learning services
O Neumann, M Schilling, M Reischl, R Mikut
PROCEEDINGS 32. WORKSHOP COMPUTATIONAL INTELLIGENCE 1, 11, 2022
12022
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Articles 1–20