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David Justen, Daniel Ritter, Campbell Fraser, Andrew Lamb, Nga Tran, Allison Lee, Thomas Bodner, Mhd Yamen Haddad, Steffen Zeuch, Volker Markl et al.
POLAR: Adaptive and Non-invasive Join Order Selection via Plans of Least Resistance
Jonas Möller, Felix Weißberg, Lukas Pirch, Thorsten Eisenhofer, Konrad Rieck
Cross-Language Differential Testing of JSON Parsers
Jiwon Chang, Christina Dionysio, Fatemeh Nargesian, Matthias Boehm
PLUTUS: Understanding Data Distribution Tailoring for Machine Learning
Matthias Boehm, Nesime Tatbul
Special issue on “Machine learning and databases”
Aristotelis Vontzalidis, Stratos Psomadakis, Constantinos Bitsakos, Mark Dokter , Kevin Innerebner , Patrick Damme, Matthias Boehm , Florina Ciorba, Ahmed Eleliemy, Vasileios Karakostas et al.
DAPHNE Runtime: Harnessing Parallelism for Integrated Data Analysis Pipelines
Shafaq Siddiqi, Roman Kern, Matthias Boehm
SAGA: A Scalable Framework for Optimizing Data Cleaning Pipelines for Machine Learning Applications
Matthias Boehm, Madelon Hulsebos, Shreya Shankar, Paroma Varma
Seventh Workshop on Data Management for End-to-End Machine Learning (DEEM)
Matthias Boehm, Matteo Interlandi, Chris Jermaine
Optimizing Tensor Computations: From Applications to Compilation and Runtime Techniques
Saeed Fathollahzadeh, Matthias Boehm
GIO: Generating Efficient Matrix and Frame Readers for Custom Data Formats by Example
Sebastian Baunsgaard, Matthias Boehm