Efficient accuracy estimation for instance-based incremental active learning. - Christian Limberg; Heiko Wersing; Helge J. Ritter (ESANN, 2018)

Improving Active Learning by Avoiding Ambiguous Samples. - Christian Limberg; Heiko Wersing; Helge J. Ritter (ICANN (1), 2018)

Active Learning for Image Recognition Using a Visualization-Based User Interface. - Christian Limberg; Kathrin Krieger; Heiko Wersing; Helge J. Ritter (ICANN (2), 2019)

Prototype-Based Online Learning on Homogeneously Labeled Streaming Data. - Christian Limberg; Jan Philip Göpfert; Heiko Wersing; Helge J. Ritter (ICANN (2), 2020)

Accuracy Estimation for an Incrementally Learning Cooperative Inventory Assistant Robot. - Christian Limberg; Heiko Wersing; Helge J. Ritter (ICONIP (2), 2020)

Beyond Cross-Validation - Accuracy Estimation for Incremental and Active Learning Models. - Christian Limberg; Heiko Wersing; Helge J. Ritter (Mach. Learn. Knowl. Extr., 2020)

CUPSNBOTTLES. - Christian Limberg (IEEE DataPort, 2020)

Critic Guided Segmentation of Rewarding Objects in First-Person Views. - Andrew Melnik; Augustin Harter; Christian Limberg; Krishan Rana; Niko Sünderhauf; Helge J. Ritter (KI, 2021)

YOLO - You only look 10647 times. - Christian Limberg; Andrew Melnik; Augustin Harter; Helge J. Ritter (CoRR, 2022)

Competence Modeling for Human-Robot Cooperation - Christian Limberg (2022)

YOLO: You Only Look 10647 Times. - Christian Limberg; Andrew Melnik; Helge J. Ritter; Helmut Prendinger (VISIGRAPP (5: VISAPP), 2023)

Mapping the Audio Landscape for Innovative Music Sample Generation. - Christian Limberg; Zhe Zhang 050 (ICMR, 2024)

Leveraging YOLO-World and GPT-4V LMMs for Zero-Shot Person Detection and Action Recognition in Drone Imagery. - Christian Limberg; Artur Gonçalves; Bastien Rigault; Helmut Prendinger (CoRR, 2024)

Transformer-Based Audio Generation Conditioned by 2D Latent Maps: A Demonstration. - Christian Limberg; Zhe Zhang; Marc A. Kastner 001 (MMM (5), 2025)