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Efficient Storage and Analysis of Genome Data in Databases

Sebastian Dorok, Sebastian Breß, Jens Teubner, Horstfried Läpple, Gunter Saake, Volker Markl

Proceedings of 17th Conference on Database Systems for Business, Technology, and Web (BTW), LNI 2017, 423-442. 2017

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Multi-Level Alignments As An Extensible Representation Basis for Textual Entailment Algorithms

Tae-Gil Noh; Sebastian Padó; Vered Shwartz; Ido Dagan; Vivi Nastase; Kathrin Eichler; Lili Kotlerman; Meni Adler

Proceedings of *SEM 2015. Joint Conference on Lexical and Computational Semantics (*SEM-15), located at NAACL 2015 2015

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Towards Unsupervised Data Quality Validation on Dynamic Data

Sergey Redyuk, Volker Markl, Sebastian Schelter

presented at International Workshop on Explainability for Trustworthy ML Pipelines (ETMLP) 2020

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Benchmarking Distributed Data Processing Systems for Machine Learning Workloads

Christoph Boden, Tilmann Rabl, Sebastian Schelter, Volker Markl

Performance Evaluation and Benchmarking for the Era of Artificial Intelligence - 10th TPC Technology Conference, TPCTC 2018 2018

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PEEL: A Framework for benchmarking distributed systems and algorithms

Christoph Boden, Alexander Alexandrov, Andreas Kunft, Tilmann Rabl, Volker Markl

Ninth TPC Technology Conference on Performance Evaluation & Benchmarking (TPCTC 2017) @VLDB 2017 2017

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Distributed Machine Learning - but at what COST?

Christoph Boden, Tilmann Rabl, Volker Markl

ML Systems Workshop@ NIPS2017 2017

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Distributed Graph Analytics with Datalog Queries in Flink

Muhammad Imran, Gábor E. Gévay, Volker Markl

LSGDA 2020 - International Workshop on Large Scale Graph Data Analytics 2020

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Cost-Based Predictive Spatiotemporal Join

Wook-Shin Han, Jaehwa Kim, Byung Suk Lee, Yufei Tao, Ralf Rantzau, Volker Markl

Journal IEEE Transactions on Knowledge and Data Engineering., 220-233. 2009

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Sharing hash codes for multiple purposes

Wiktor Pronobis, Danny Panknin, Johannes Kirschnick, Vignesh Srinivasan, Wojciech Samek, Volker Markl, Manohar Kaul, Klaus-Robert Müller, Shinichi Nakajima

Japanese Journal of Statistics and Data Science, 215–246. 2018

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