Sebastian Schelter
Titel
Zitiert von
Zitiert von
Jahr
The stratosphere platform for big data analytics
A Alexandrov, R Bergmann, S Ewen, JC Freytag, F Hueske, A Heise, ...
The VLDB Journal 23 (6), 939-964, 2014
5092014
Scalable similarity-based neighborhood methods with MapReduce
S Schelter, C Boden, V Markl
Proceedings of the sixth ACM conference on Recommender systems, 163-170, 2012
702012
Automatically Tracking Metadata and Provenance of Machine Learning Experiments
S Schelter, JH Boese, J Kirschnick, T Klein, S Seufert
NIPS Workshop ML Systems, 2017
662017
"All roads lead to Rome": Optimistic recovery for distributed iterative data processing
S Schelter, S Ewen, K Tzoumas, V Markl
Proceedings of the 22nd ACM international conference on Information …, 2013
622013
Distributed matrix factorization with mapreduce using a series of broadcast-joins
S Schelter, C Boden, M Schenck, A Alexandrov, V Markl
Proceedings of the 7th ACM Conference on Recommender Systems, 281-284, 2013
562013
Collaborative filtering with apache mahout
S Schelter, S Owen
Proc. of ACM RecSys Challenge, 2012
552012
Automating large-scale data quality verification
S Schelter, D Lange, P Schmidt, M Celikel, F Biessmann, A Grafberger
Proceedings of the VLDB Endowment 11 (12), 1781-1794, 2018
542018
Probabilistic demand forecasting at scale
JH Böse, V Flunkert, J Gasthaus, T Januschowski, D Lange, D Salinas, ...
Proceedings of the VLDB Endowment 10 (12), 1694-1705, 2017
502017
Iterative parallel data processing with stratosphere: an inside look
S Ewen, S Schelter, K Tzoumas, D Warneke, V Markl
Proceedings of the 2013 ACM SIGMOD International Conference on Management of …, 2013
362013
On challenges in machine learning model management
S Schelter, F Biessmann, T Januschowski, D Salinas, S Seufert, ...
352018
Samsara: Declarative machine learning on distributed dataflow systems
S Schelter, A Palumbo, S Quinn, S Marthi, A Musselman
NIPS Workshop MLSystems, 2016
342016
On the Ubiquity of Web Tracking: Insights from a Billion-Page Web Crawl
S Schelter, J Kunegis
Journal of Web Science 4 (4), 53-66, 2018
322018
Deep Learning for Missing Value Imputation in Tables with Non-Numerical Data
F Biessmann, D Salinas, S Schelter, P Schmidt, D Lange
Proceedings of the 27th ACM International Conference on Information and …, 2018
292018
Factorbird-a parameter server approach to distributed matrix factorization
S Schelter, V Satuluri, R Zadeh
arXiv preprint arXiv:1411.0602, 2014
282014
Optimistic recovery for iterative dataflows in action
S Dudoladov, C Xu, S Schelter, A Katsifodimos, S Ewen, K Tzoumas, ...
Proceedings of the 2015 ACM SIGMOD International Conference on Management of …, 2015
252015
Tracking the trackers: A large-scale analysis of embedded web trackers
S Schelter, J Kunegis
Proceedings of the International AAAI Conference on Web and Social Media 10 (1), 2016
202016
Blockjoin: Efficient matrix partitioning through joins
A Kunft, A Katsifodimos, S Schelter, T Rabl, V Markl
Proceedings of the VLDB Endowment 10 (13), 2061-2072, 2017
182017
Efficient sample generation for scalable meta learning
S Schelter, J Soto, V Markl, D Burdick, B Reinwald, A Evfimievski
2015 IEEE 31st International Conference on Data Engineering, 1191-1202, 2015
182015
Elastic Machine Learning Algorithms in Amazon SageMaker
E Liberty, Z Karnin, B Xiang, L Rouesnel, B Coskun, R Nallapati, ...
Proceedings of the 2020 ACM SIGMOD International Conference on Management of …, 2020
142020
An intermediate representation for optimizing machine learning pipelines
A Kunft, A Katsifodimos, S Schelter, S Breß, T Rabl, V Markl
Proceedings of the VLDB Endowment 12 (11), 1553-1567, 2019
142019
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