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Alexander Cebulla
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2020 – today
- 2023
- [c5]Alexander Cebulla, Tamim Asfour, Torsten Kröger:
Efficient Multi-Objective Assembly Sequence Planning via Knowledge Transfer between Similar Assemblies. CASE 2023: 1-7 - [c4]Alexander Cebulla, Tamim Asfour, Torsten Kröger:
Speeding Up Assembly Sequence Planning Through Learning Removability Probabilities. ICRA 2023: 12388-12394 - [c3]Chengzhi Wu, Xuelei Bi, Julius Pfrommer, Alexander Cebulla, Simon Mangold, Jürgen Beyerer:
Sim2real Transfer Learning for Point Cloud Segmentation: An Industrial Application Case on Autonomous Disassembly. WACV 2023: 4520-4529 - [i1]Chengzhi Wu, Xuelei Bi, Julius Pfrommer, Alexander Cebulla, Simon Mangold, Jürgen Beyerer:
Sim2real Transfer Learning for Point Cloud Segmentation: An Industrial Application Case on Autonomous Disassembly. CoRR abs/2301.05033 (2023) - 2022
- [j2]Gisela Lanza, Tamim Asfour, Jürgen Beyerer, Barbara Deml, Jürgen Fleischer, Michael Heizmann, Kai Furmans, Constantin Hofmann, Alexander Cebulla, Christian R. G. Dreher, Jan-Philipp Kaiser, Jan-Felix Klein, Fabian Leven, Simon Mangold, Norbert Mitschke, Nicole Stricker, Julius Pfrommer, Chengzhi Wu, Marco Wurster, Manuel Zaremski:
Agiles Produktionssystem mittels lernender Roboter bei ungewissen Produktzuständen am Beispiel der Anlasser-Demontage. Autom. 70(6): 504-516 (2022) - 2020
- [j1]Rubén San Segundo, Ada Zhang, Alexander Cebulla, Stanislav Panev, Griffin Tabor, Katelyn Stebbins, Robyn E. Massa, Andrew S. Whitford, Fernando De la Torre, Jessica K. Hodgins:
Parkinson's Disease Tremor Detection in the Wild Using Wearable Accelerometers. Sensors 20(20): 5817 (2020)
2010 – 2019
- 2017
- [c2]Ada Zhang, Alexander Cebulla, Stanislav Panev, Jessica K. Hodgins, Fernando De la Torre:
Weakly-supervised learning for Parkinson's Disease tremor detection. EMBC 2017: 143-147 - 2016
- [c1]Pai Chet Ng, James She, Ming Cheung, Alexander Cebulla:
An Images-Textual Hybrid Recommender System for Vacation Rental. BigMM 2016: 60-63
Coauthor Index
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