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TU Berlin

Inhalt des Dokuments

Publikationen

2021

Continuous Training and Deployment of Deep Learning Models

Ioannis Prapas, Behrouz Derakhshan, Alireza Rezaei Mahdiraji, Volker Markl

Datenbank Spektrum 2021

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Automated Feature Engineering for Algorithmic Fairness

Ricardo Salazar Diaz, Felix Neutatz, Ziawasch Abedjan

Proc. VLDB Endow., 1694-1702 . 2021

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In the Land of Data Streams where Synopses are Missing, One Framework to Bring Them All

Rudi Poepsel-Lemaitre, Martin Kiefer, Joscha von Hein, Jorge-Arnulfo Quiané-Ruiz, Volker Markl

Proc. VLDB Endow., 1818 - 1831. 2021

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From Cleaning before ML to Cleaning for ML

Felix Neutatz, Binger Chen, Ziawasch Abedjan, Eugene Wu

IEEE Data Engineering Bulletin 2021

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Hybrid Evaluation for Distributed Iterative Matrix Computation

Zihao Chen, Chen Xu, Juan Soto, Volker Markl, Weining Qian, Aoying Zhou

SIGMOD 2021

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Towards Resilient Data Management for the Internet of Moving Things

Elena Beatriz Ouro Paz, Eleni Tzirita Zacharatou, Volker Markl

BTW 2021

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Parallelizing Intra-Window Join on Multicores: An Experimental Study

Shuhao Zhang, Yancan Mao, Jiong He, Philipp Grulich, Steffen Zeuch, Bingsheng He, Richard Ma, Volker Markl

SIGMOD 2021

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Expand your Training Limits! Generating Training Data for ML-based Data Management

Francesco Ventura, Zoi Kaoudi, Jorge Arnulfo Quiane Ruiz, Volker Markl

SIGMOD 2021

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