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Behrouz Derakhshan
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2020 – today
- 2022
- [b1]Behrouz Derakhshan:
Materialization and reuse optimizations for machine learning workloads. Technical University of Berlin, Germany, 2022 - [c5]Behrouz Derakhshan, Alireza Rezaei Mahdiraji, Zoi Kaoudi, Tilmann Rabl, Volker Markl:
Materialization and Reuse Optimizations for Production Data Science Pipelines. SIGMOD Conference 2022: 1962-1976 - 2021
- [j1]Ioannis Prapas, Behrouz Derakhshan, Alireza Rezaei Mahdiraji, Volker Markl:
Continuous Training and Deployment of Deep Learning Models. Datenbank-Spektrum 21(3): 203-212 (2021) - [c4]Sebastian Baunsgaard, Matthias Boehm, Ankit Chaudhary, Behrouz Derakhshan, Stefan Geißelsöder, Philipp M. Grulich, Michael Hildebrand, Kevin Innerebner, Volker Markl, Claus Neubauer, Sarah Osterburg, Olga Ovcharenko, Sergey Redyuk, Tobias Rieger, Alireza Rezaei Mahdiraji, Sebastian Benjamin Wrede, Steffen Zeuch:
ExDRa: Exploratory Data Science on Federated Raw Data. SIGMOD Conference 2021: 2450-2463 - 2020
- [c3]Behrouz Derakhshan, Alireza Rezaei Mahdiraji, Ziawasch Abedjan, Tilmann Rabl, Volker Markl:
Optimizing Machine Learning Workloads in Collaborative Environments. SIGMOD Conference 2020: 1701-1716
2010 – 2019
- 2019
- [c2]Behrouz Derakhshan, Alireza Rezaei Mahdiraji, Tilmann Rabl, Volker Markl:
Continuous Deployment of Machine Learning Pipelines. EDBT 2019: 397-408 - 2015
- [c1]Antti Ukkonen, Behrouz Derakhshan, Hannes Heikinheimo:
Crowdsourced Nonparametric Density Estimation Using Relative Distances. HCOMP 2015: 188-197
Coauthor Index
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last updated on 2024-10-07 21:24 CEST by the dblp team
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