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2020 – today
- 2024
[c8]Qasim M. K. Siddiqui, Sebastian Starke, Peter Steinbach:
Uncertainty Estimation in Instance Segmentation with Star-convex Shapes. WACV 2024: 1413-1422- 2023
- [j3]Marie Piraud, Andrés Camero, Markus Götz
, Stefan Kesselheim, Peter Steinbach, Tobias Weigel:
Providing AI expertise as an infrastructure in academia. Patterns 4(8): 100819 (2023) - [i6]Qasim M. K. Siddiqui, Sebastian Starke, Peter Steinbach:
Uncertainty Estimation in Instance Segmentation with Star-convex Shapes. CoRR abs/2309.10513 (2023) - 2022
- [c7]Florian Huber, Erica Dafne van Kuppevelt, Peter Steinbach, Colin Sauze, Yang Liu, Berend Weel:
Will the sun shine? - An accessible dataset for teaching machine learning and deep learning. Teaching ML 2022: 27-31 - [e3]Katherine M. Kinnaird, Peter Steinbach, Oliver Guhr:
The Third Teaching Machine Learning and Artificial Intelligence Workshop, 19-23 September 2022, Grenoble, France and online. Proceedings of Machine Learning Research 207, PMLR 2022 [contents] - [i5]Peter Steinbach, Felicita Gernhardt, Mahnoor Tanveer, Steve Schmerler, Sebastian Starke:
Machine Learning State-of-the-Art with Uncertainties. CoRR abs/2204.05173 (2022) - [i4]André Homeyer, Christian Geißler, Lars Ole Schwen, Falk Zakrzewski, Theodore Evans, Klaus Strohmenger, Max Westphal, Roman David Bülow, Michaela Kargl, Aray Karjauv, Isidre Munné-Bertran, Carl Orge Retzlaff, Adrià Romero-López, Tomasz Soltysinski, Markus Plass, Rita Carvalho, Peter Steinbach, Yu-Chia Lan, Nassim Bouteldja, David Haber, Mateo Rojas-Carulla, Alireza Vafaei Sadr, Matthias Kraft, Daniel Krüger, Rutger Fick, Tobias Lang, Peter Boor, Heimo Müller, Peter Hufnagl, Norman Zerbe:
Recommendations on test datasets for evaluating AI solutions in pathology. CoRR abs/2204.14226 (2022) - [i3]Danush Kumar Venkatesh, Peter Steinbach:
Detecting Adversarial Examples in Batches - a geometrical approach. CoRR abs/2206.08738 (2022) - 2021
- [c6]Julius Kirfel, Stefan Hinck, Juliane Renner, Arshnoor Singh, Peter Steinbach, Arno Ruckelshausen:
Motivation und Konzept zur boden- und luftgestützten Detektion von Virosen in der Pflanzgutproduktion von Stärkekartoffeln. GIL Jahrestagung 2021: 163-168 - [c5]Sebastian Starke, Dominik Thalmeier, Peter Steinbach, Marie Piraud:
A Hybrid Radiomics Approach to Modeling Progression-Free Survival in Head and Neck Cancers. HECKTOR@MICCAI 2021: 266-277 - [c4]Oliver Guhr, Katherine M. Kinnaird, Peter Steinbach:
Teaching ML in 2021 - An Overview and Introduction. Teaching ML 2021: 1-4 - [e2]Katherine M. Kinnaird, Peter Steinbach, Oliver Guhr:
Proceedings of the Second Teaching Machine Learning and Artificial Intelligence Workshop, September 8+13, 2021, Virtual Conference. Proceedings of Machine Learning Research 170, PMLR 2021 [contents] - 2020
- [c3]Peter Steinbach, Heidi Seibold, Oliver Guhr:
Teaching Machine Learning in 2020. Teaching ML 2020: 1-6 - [e1]Bernd Bischl, Oliver Guhr, Heidi Seibold, Peter Steinbach:
Proceedings of the First Teaching Machine Learning and Artificial Intelligence Workshop, September 8+14, 2020, Virtual Conference. Proceedings of Machine Learning Research 141, PMLR 2020 [contents]
2010 – 2019
- 2018
- [j2]Helge Knoop, Tobias Gronemeier, Matthias Sühring, Peter Steinbach, Matthias Noack, Florian Wende, Thomas Steinke, Christoph Knigge, Siegfried Raasch, Klaus Ketelsen:
Porting the MPI-parallelised LES model PALM to multi-GPU systems and many integrated core processors - an experience report. Int. J. Comput. Sci. Eng. 17(3): 297-309 (2018) - 2017
- [c2]Peter Steinbach, Matthias Werner:
gearshifft - The FFT Benchmark Suite for Heterogeneous Platforms. ISC 2017: 199-216 - [i2]Peter Steinbach, Matthias Werner:
gearshifft - The FFT Benchmark Suite for Heterogeneous Platforms. CoRR abs/1702.00629 (2017) - 2016
- [j1]Christopher Schmied, Peter Steinbach, Tobias Pietzsch, Stephan Preibisch, Pavel Tomancak:
An automated workflow for parallel processing of large multiview SPIM recordings. Bioinform. 32(7): 1112-1114 (2016) - [c1]Helge Knoop, Tobias Gronemeier, Christoph Knigge, Peter Steinbach:
Porting the MPI Parallelized LES Model PALM to Multi-GPU Systems - An Experience Report. ISC Workshops 2016: 508-523 - 2015
- [i1]Stefan Kluth, Maria Grazia Pia, Thomas Schörner-Sadenius, Peter Steinbach:
How do particle physicists learn the programming concepts they need? CoRR abs/1505.04604 (2015)
Coauthor Index
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last updated on 2024-08-05 20:14 CEST by the dblp team
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