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Romeo Kienzler
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Conference and Workshop Papers
- 2024
- [c8]Benedikt Blumenstiel, Viktoria Moor, Romeo Kienzler, Thomas Brunschwiler:
Multi-Spectral Remote Sensing Image Retrieval Using Geospatial Foundation Models. IGARSS 2024: 7286-7291 - 2023
- [c7]Romeo Kienzler, Johannes Schmude, Naomi Simumba, Benedikt Blumenstiel, Marcus Freitag, Daiki Kimura, Zoltan Arnold Nagy, Michael Behrendt, Hendrik F. Hamann, S. Karthik Mukkavilli, Daniel Salles Civitarese:
TensorBank: Tensor Lakehouse for Foundation Model Training. IEEE Big Data 2023: 3350-3354 - 2021
- [c6]Romeo Kienzler, Ivan Nesic:
CLAIMED, a visual and scalable component library for Trusted AI. SciPy 2021: 58-64 - 2019
- [c5]Georgios Pipelidis, Nikolaos Tsiamitros, Efdal Ustaoglu, Romeo Kienzler, Petteri Nurmi, Huber Flores, Christian Prehofer:
Cross-Device Radio Map Generation via Crowdsourcing. IPIN 2019: 1-8 - 2012
- [c4]Romeo Kienzler, Rémy Bruggmann, Anand Ranganathan, Nesime Tatbul:
Stream as You Go: The Case for Incremental Data Access and Processing in the Cloud. ICDE Workshops 2012: 159-166 - [c3]Romeo Kienzler, Rémy Bruggmann, Anand Ranganathan, Nesime Tatbul:
Incremental DNA Sequence Analysis in the Cloud. SSDBM 2012: 640-645 - 2011
- [c2]Romeo Kienzler, Rémy Bruggmann, Anand Ranganathan, Nesime Tatbul:
Large-Scale DNA Sequence Analysis in the Cloud: A Stream-Based Approach. Euro-Par Workshops (2) 2011: 467-476 - 2010
- [c1]Romeo Kienzler:
Master Data Management - Moderne Stammdatenverwaltung in einer SOA Architektur. STeP 2010: 51-58
Informal and Other Publications
- 2024
- [i5]Benedikt Blumenstiel, Viktoria Moor, Romeo Kienzler, Thomas Brunschwiler:
Multi-Spectral Remote Sensing Image Retrieval Using Geospatial Foundation Models. CoRR abs/2403.02059 (2024) - [i4]Johannes Schmude, Sujit Roy, Will Trojak, Johannes Jakubik, Daniel Salles Civitarese, Shraddha Singh, Julian Kuehnert, Kumar Ankur, Aman Gupta, Christopher Phillips, Romeo Kienzler, Daniela Szwarcman, Vishal Gaur, Rajat Shinde, Rohit Lal, Arlindo Da Silva, Jorge Luis Guevara Diaz, Anne Jones, Simon Pfreundschuh, Amy Lin, Aditi Sheshadri, Udaysankar Nair, Valentine Anantharaj, Hendrik F. Hamann, Campbell D. Watson, Manil Maskey, Tsengdar J. Lee, Juan Bernabé-Moreno, Rahul Ramachandran:
Prithvi WxC: Foundation Model for Weather and Climate. CoRR abs/2409.13598 (2024) - 2023
- [i3]Romeo Kienzler, Rafflesia Khan, Jerome P. Nilmeier, Ivan Nesic, Ibrahim Haddad:
CLAIMED - the open source framework for building coarse-grained operators for accelerated discovery in science. CoRR abs/2307.06824 (2023) - [i2]Romeo Kienzler, Benedikt Blumenstiel, Zoltan Arnold Nagy, S. Karthik Mukkavilli, Johannes Schmude, Marcus Freitag, Michael Behrendt, Daniel Salles Civitarese, Naomi Simumba, Daiki Kimura, Hendrik F. Hamann:
TensorBank: Tensor Lakehouse for Foundation Model Training. CoRR abs/2309.02094 (2023) - 2021
- [i1]Romeo Kienzler, Ivan Nesic:
CLAIMED, a visual and scalable component library for Trusted AI. CoRR abs/2103.03281 (2021)
Coauthor Index
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