Oliver Neumann

According to our database, Oliver Neumann authored at least 18 papers between 1995 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

Energy Inform., January, 2023

Transformer training strategies for forecasting multiple load time series.

Matthias Hertel, Maximilian Beichter, Benedikt Heidrich, Oliver Neumann, Benjamin Schäfer, Ralf Mikut, Veit Hagenmeyer

Energy Inform., January, 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

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

CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting.

Simon Graham, Quoc Dang Vu, Mostafa Jahanifar, Martin Weigert, Uwe Schmidt, Wenhua Zhang, Jun Zhang, Sen Yang, Jinxi Xiang, Xiyue Wang, Josef Lorenz Rumberger, Elias Baumann, Peter Hirsch, Lihao Liu, Chenyang Hong, Angelica I. Avilés-Rivero, Ayushi Jain, Heeyoung Ahn, Yiyu Hong, Hussam Azzuni, Min Xu, Mohammad Yaqub, Marie-Claire Blache, Benoît Piégu, Bertrand Vernay, Tim Scherr, Moritz Böhland, Katharina Löffler, Jiachen Li, Weiqin Ying, Chixin Wang, Dagmar Kainmueller, Carola-Bibiane Schönlieb, Shuolin Liu, Dhairya Talsania, Yughender Meda, Prakash Mishra, Muhammad Ridzuan, Oliver Neumann, Marcel P. Schilling, Markus Reischl, Ralf Mikut, Banban Huang, Hsiang-Chin Chien, Ching-Ping Wang, Chia-Yen Lee, Hong-Kun Lin, Zaiyi Liu, Xipeng Pan, Chu Han, Jijun Cheng, Muhammad Dawood, Srijay Deshpande, Raja Muhammad Saad Bashir, Adam Shephard, Pedro Costa, João D. Nunes, Aurélio Campilho, Jaime S. Cardoso, Hrishikesh P. S, Densen Puthussery, Devika R. G, Jiji C V, Ye Zhang, Zijie Fang, Zhifan Lin, Yongbing Zhang, Chunhui Lin, Liukun Zhang, Lijian Mao, Min Wu, Thi Tuong Vi Vo, Soo-Hyung Kim, Taebum Lee, Satoshi Kondo, Satoshi Kasai, Pranay Dumbhare, Vedant Phuse, Yash Dubey, Ankush Jamthikar, Trinh Thi Le Vuong, Jin Tae Kwak, Dorsa Ziaei, Hyun Jung, Tianyi Miao, David R. J. Snead, Shan-E-Ahmed Raza, Fayyaz Minhas, Nasir M. Rajpoot

CoRR, 2023

ProbPNN: Enhancing Deep Probabilistic Forecasting with Statistical Information.

Benedikt Heidrich, Kaleb Phipps, Oliver Neumann, Marian Turowski, Ralf Mikut, Veit Hagenmeyer

CoRR, 2023

Managing Anomalies in Energy Time Series for Automated Forecasting.

Marian Turowski, Oliver Neumann, Lisa Mannsperger, Kristof Kraus, Kira Layer, Ralf Mikut, Veit Hagenmeyer

Proceedings of the Energy Informatics - Third Energy Informatics Academy Conference, 2023

2022

EasyMLServe: Easy Deployment of REST Machine Learning Services.

Oliver Neumann, Marcel P. Schilling, Markus Reischl, Ralf Mikut

CoRR, 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

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

Modeling and generating synthetic anomalies for energy and power time series.

Marian Turowski, Moritz Weber, Oliver Neumann, Benedikt Heidrich, Kaleb Phipps, Hüseyin Kemâl Çakmak, Ralf Mikut, Veit Hagenmeyer

Proceedings of the e-Energy '22: The Thirteenth ACM International Conference on Future Energy Systems, Virtual Event, 28 June 2022, 2022

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

Proceedings of the e-Energy '22: The Thirteenth ACM International Conference on Future Energy Systems, Virtual Event, 28 June 2022, 2022

2021

Offene Verwaltungsdaten zur Wirkung bringen: Was sind die Schlüssel zum Erfolg?

Oliver Neumann, Tobias Mettler

HMD Prax. Wirtsch., 2021

Smart Data Representations: Impact on the Accuracy of Deep Neural Networks.

Oliver Neumann, Nicole Ludwig, Marian Turowski, Benedikt Heidrich, Veit Hagenmeyer, Ralf Mikut

CoRR, 2021

pyWATTS: Python Workflow Automation Tool for Time Series.

Benedikt Heidrich, Andreas Bartschat, Marian Turowski, Oliver Neumann, Kaleb Phipps, Stefan Meisenbacher, Kai Schmieder, Nicole Ludwig, Ralf Mikut, Veit Hagenmeyer

CoRR, 2021

2019

Joining forces for public value creation? Exploring collaborative innovation in smart city initiatives.

Oliver Neumann, Christian Matt, Benedikt Hitz-Gamper, Lisa Schmidthuber, Matthias Stürmer

Gov. Inf. Q., 2019

2018

Exploring the Motives of Citizen Reporting Engagement: Self-Concern and Other-Orientation.

Gabriel Abu-Tayeh, Oliver Neumann, Matthias Stuermer

Bus. Inf. Syst. Eng., 2018

1995

Fault modeling of differential ECL.

Udo Jorczyk, Wilfried Daehn, Oliver Neumann

Proceedings of the Proceedings EURO-DAC'95, 1995