Ein Ansatz zur Einführung von Complex Event Processing zum workfloworientierten Software-Monitoring. - Sebastian Niehaus (GI-Jahrestagung, 2016)

Multi-stage Reinforcement Learning for Object Detection. - Jonas König; Simon Malberg; Martin Martens; Sebastian Niehaus; Artus Krohn-Grimberghe; Arunselvan Ramaswamy (CVC (1), 2019)

Convolutional neural network stacking for medical image segmentation in CT scans. - Marie Kloenne; Sebastian Niehaus; Leonie Lampe; Alberto Merola; Janis Reinelt; Nico Scherf (CoRR, 2019)

A comparative study of semi- and self-supervised semantic segmentation of biomedical microscopy data. - Nastassya Horlava; Alisa Mironenko; Sebastian Niehaus; Sebastian Wagner; Ingo Roeder; Nico Scherf (CoRR, 2020)

Quality control for more reliable integration of deep learning-based image segmentation into medical workflows. - Elena Williams; Sebastian Niehaus; Janis Reinelt; Alberto Merola; Paul Glad Mihai; Ingo Roeder; Nico Scherf; Maria del C. Valdés Hernández (CoRR, 2021)

Fair Distributed Machine Learning with Imbalanced Data as a Stackelberg Evolutionary Game. - Sebastian Niehaus; Ingo Roeder; Nico Scherf (CoRR, 2024)