Fault modeling of differential ECL. - Udo Jorczyk; Wilfried Daehn; Oliver Neumann (EURO-DAC, 1995)

Exploring the Motives of Citizen Reporting Engagement: Self-Concern and Other-Orientation. - Gabriel Abu-Tayeh; Oliver Neumann; Matthias Stuermer (Bus. Inf. Syst. Eng., 2018)

Joining forces for public value creation? Exploring collaborative innovation in smart city initiatives. - Oliver Neumann; Christian Matt 001; Benedikt Hitz-Gamper; Lisa Schmidthuber; Matthias Stürmer (Gov. Inf. Q., 2019)

pyWATTS: Python Workflow Automation Tool for Time Series. - Benedikt Heidrich; Andreas Bartschat; Marian Turowski; Oliver Neumann; Kaleb Phipps; Stefan Meisenbacher; Kai Schmieder; Nicole Ludwig 002; Ralf Mikut; Veit Hagenmeyer (CoRR, 2021)

Smart Data Representations: Impact on the Accuracy of Deep Neural Networks. - Oliver Neumann; Nicole Ludwig 002; Marian Turowski; Benedikt Heidrich; Veit Hagenmeyer; Ralf Mikut (CoRR, 2021)

Offene Verwaltungsdaten zur Wirkung bringen: Was sind die Schlüssel zum Erfolg? - Oliver Neumann; Tobias Mettler (HMD Prax. Wirtsch., 2021)

Enhancing anomaly detection methods for energy time series using latent space data representations. - Marian Turowski; Benedikt Heidrich; Kaleb Phipps; Kai Schmieder; Oliver Neumann; Ralf Mikut; Veit Hagenmeyer (e-Energy, 2022)

Modeling and generating synthetic anomalies for energy and power time series. - Marian Turowski; Moritz Weber 001; Oliver Neumann; Benedikt Heidrich; Kaleb Phipps; Hüseyin Kemâl Çakmak; Ralf Mikut; Veit Hagenmeyer (e-Energy, 2022)

Automated Annotator Variability Inspection for Biomedical Image Segmentation. - Marcel P. Schilling; Tim Scherr; Friedrich R. Münke; Oliver Neumann; Mark Schutera; Ralf Mikut; Markus Reischl (IEEE Access, 2022)

ciscNet - A Single-Branch Cell Instance Segmentation and Classification Network. - Moritz Böhland; Oliver Neumann; Marcel P. Schilling; Markus Reischl; Ralf Mikut; Katharina Löffler; Tim Scherr (CoRR, 2022)

EasyMLServe: Easy Deployment of REST Machine Learning Services. - Oliver Neumann; Marcel P. Schilling; Markus Reischl; Ralf Mikut (CoRR, 2022)

Managing Anomalies in Energy Time Series for Automated Forecasting. - Marian Turowski; Oliver Neumann; Lisa Mannsperger; Kristof Kraus; Kira Layer; Ralf Mikut; Veit Hagenmeyer (EI.A, 2023)

ProbPNN: Enhancing Deep Probabilistic Forecasting with Statistical Information. - Benedikt Heidrich; Kaleb Phipps; Oliver Neumann; Marian Turowski; Ralf Mikut; Veit Hagenmeyer (CoRR, 2023)

CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting. - Simon Graham; Quoc Dang Vu; Mostafa Jahanifar; Martin Weigert 001; Uwe Schmidt; Wenhua Zhang; Jun Zhang 018; Sen Yang 006; Jinxi Xiang; Xiyue Wang; Josef Lorenz Rumberger; Elias Baumann; et al. (CoRR, 2023)

MLOps for Scarce Image Data: A Use Case in Microscopic Image Analysis. - Angelo Jovin Yamachui Sitcheu; Nils Friederich; Simon Baeuerle; Oliver Neumann; Markus Reischl; Ralf Mikut (CoRR, 2023)

AI-based automated active learning for discovery of hidden dynamic processes: A use case in light microscopy. - Nils Friederich; Angelo Jovin Yamachui Sitcheu; Oliver Neumann; Süheyla Eroglu-Kayikçi; Roshan Prizak; Lennart Hilbert; Ralf Mikut (CoRR, 2023)

Transformer training strategies for forecasting multiple load time series. - Matthias Hertel; Maximilian Beichter; Benedikt Heidrich; Oliver Neumann; Benjamin Schäfer 001; Ralf Mikut; Veit Hagenmeyer (Energy Inform., 2023)

Using weather data in energy time series forecasting: the benefit of input data transformations. - Oliver Neumann; Marian Turowski; Ralf Mikut; Veit Hagenmeyer; Nicole Ludwig 002 (Energy Inform., 2023)

Decision-Focused Retraining of Forecast Models for Optimization Problems in Smart Energy Systems. - Maximilian Beichter; Dorina Werling; Benedikt Heidrich; Kaleb Phipps; Oliver Neumann; Nils Friederich; Ralf Mikut; Veit Hagenmeyer (e-Energy, 2024)

Intrinsic Explainable Artificial Intelligence Using Trainable Spatial Weights on Numerical Weather Predictions. - Oliver Neumann; Maximilian Beichter; Benedikt Heidrich; Nils Friederich; Veit Hagenmeyer; Ralf Mikut (e-Energy, 2024)

EAP4EMSIG - Experiment Automation Pipeline for Event-Driven Microscopy to Smart Microfluidic Single-Cells Analysis. - Nils Friederich; Angelo Jovin Yamachui Sitcheu; Annika Nassal; Matthias Pesch; Erenus Yildiz; Maximilian Beichter; Lukas Scholtes; Bahar Akbaba; Thomas Lautenschlager; Oliver Neumann; Dietrich Kohlheyer; Hanno Scharr; et al. (CoRR, 2024)

Promoting digital equality in co-production: The role of platform design. - Pascale-Catherine Kirklies; Oliver Neumann; Lisa Hohensinn (Gov. Inf. Q., 2024)

Introduction to the special issue 'Towards a Multi-Level Understanding of Agile in Government: Macro, Meso and Micro Perspectives'. - Caroline Fischer; Oliver Neumann (Inf. Polity, 2024)

Does agile improve value creation in government? - Oliver Neumann; Pascale-Catherine Kirklies; Susanne Hadorn (Inf. Polity, 2024)

ObiWan-Microbi: OMERO-based integrated workflow for annotating microbes in the cloud. - Johannes Seiffarth; Tim Scherr; Bastian Wollenhaupt; Oliver Neumann; Hanno Scharr; Dietrich Kohlheyer; Ralf Mikut; Katharina Nöh (SoftwareX, 2024)

Decision-Focused Fine-Tuning of Time Series Foundation Models for Dispatchable Feeder Optimization. - Maximilian Beichter; Nils Friederich; Janik Pinter; Dorina Werling; Kaleb Phipps; Sebastian Beichter; Oliver Neumann; Ralf Mikut; Veit Hagenmeyer; Benedikt Heidrich (CoRR, 2025)

EAP4EMSIG - Enhancing Event-Driven Microscopy for Microfluidic Single-Cell Analysis. - Nils Friederich; Angelo Jovin Yamachui Sitcheu; Annika Nassal; Erenus Yildiz; Matthias Pesch; Maximilian Beichter; Lukas Scholtes; Bahar Akbaba; Thomas Lautenschlager; Oliver Neumann; Dietrich Kohlheyer; Hanno Scharr; et al. (CoRR, 2025)