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Alireza Rezaei Mahdiraji
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2020 – today
- 2023
- [c12]Lennart Behme, Saravanan Thirumuruganathan, Alireza Rezaei Mahdiraji, Jorge-Arnulfo Quiané-Ruiz, Volker Markl:
The Art of Losing to Win: Using Lossy Image Compression to Improve Data Loading in Deep Learning Pipelines. ICDE 2023: 936-949 - 2022
- [c11]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
- [j4]Ioannis Prapas
, Behrouz Derakhshan, Alireza Rezaei Mahdiraji, Volker Markl:
Continuous Training and Deployment of Deep Learning Models. Datenbank-Spektrum 21(3): 203-212 (2021) - [c10]Sebastian Baunsgaard, Matthias Boehm, Ankit Chaudhary
ExDRa: Exploratory Data Science on Federated Raw Data. SIGMOD Conference 2021: 2450-2463 - 2020
- [c9]Behrouz Derakhshan, Alireza Rezaei Mahdiraji, Ziawasch Abedjan
Optimizing Machine Learning Workloads in Collaborative Environments. SIGMOD Conference 2020: 1701-1716
2010 – 2019
- 2019
- [c8]Behrouz Derakhshan, Alireza Rezaei Mahdiraji, Tilmann Rabl, Volker Markl:
Continuous Deployment of Machine Learning Pipelines. EDBT 2019: 397-408 - 2017
- [c7]Bonaventura Del Monte, Jeyhun Karimov, Alireza Rezaei Mahdiraji, Tilmann Rabl, Volker Markl:
PROTEUS: Scalable Online Machine Learning for Predictive Analytics and Real-Time Interactive Visualization. EDBT/ICDT Workshops 2017 - 2016
- [j3]Peter Baumann, Paolo Mazzetti, Joachim Ungar, Roberto Barbera, Damiano Barboni, Alan Beccati, Lorenzo Bigagli, Enrico Boldrini, Riccardo Bruno, Antonio Calanducci, Piero Campalani, D. Oliver Clements, Alex Mircea Dumitru, Mike Grant, Pasquale Herzig, George Kakaletris, John Laxton, Panagiota Koltsida, Kinga Lipskoch, Alireza Rezaei Mahdiraji, Simone Mantovani, Vlad Merticariu, Antonio Messina, Dimitar Misev, Stefano Natali, Stefano Nativi, Jelmer Oosthoek, Marco Pappalardo, James Passmore, Angelo Pio Rossi, Francesco Rundo, Marcus Sen, Vittorio Sorbera, Don V. Sullivan, Mario Torrisi, Leonardo Trovato, Maria Grazia Veratelli, Sebastian Wagner:
Big Data Analytics for Earth Sciences: the EarthServer approach. Int. J. Digit. Earth 9(1): 3-29 (2016) - 2015
- [b1]Alireza Rezaei Mahdiraji:
A Query Language for Scientific Meshes. Jacobs University, 2015 - [c6]Alireza Rezaei Mahdiraji, Peter Baumann
MQuery: A query language for scientific meshes. IEEE BigData 2015: 1831-1838 - [c5]Alireza Rezaei Mahdiraji, Peter Baumann:
Using Graph Traversal in Scientific Data Interpolation. EDBT/ICDT Workshops 2015: 133-140 - 2014
- [c4]Alireza Rezaei Mahdiraji:
Toward unstructured mesh algebra and query language. SIGMOD PhD Symposium 2014: 16-20 - [c3]Alireza Rezaei Mahdiraji, Peter Baumann
Processing scientific mesh queries in graph databases. WWW (Companion Volume) 2014: 1163-1168 - 2013
- [j2]Alireza Rezaei Mahdiraji:
Database Support for Unstructured Meshes. Proc. VLDB Endow. 6(12): 1404-1409 (2013) - [c2]Alireza Rezaei Mahdiraji, Peter Baumann
ImG-complex: graph data model for topology of unstructured meshes. CIKM 2013: 1619-1624 - 2012
- [c1]Saulius Astromskis, Andrea Janes
Egidio: A non-invasive approach for synthesizing organizational models. ICSE 2012: 1465-1466 - [p1]Alireza Rezaei Mahdiraji, Bruno Rossi
Knowledge Extraction from Events Flows. ArtDeco 2012: 221-236
2000 – 2009
- 2009
- [j1]Alireza Rezaei Mahdiraji:
Clustering data stream: A survey of algorithms. Int. J. Knowl. Based Intell. Eng. Syst. 13(2): 39-44 (2009)
Coauthor Index
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