Sebastian Schelter
Sebastian Schelter
Assistant Professor ("Faculty Fellow") at New York University
Verified email at - Homepage
TitleCited byYear
The stratosphere platform for big data analytics
A Alexandrov, R Bergmann, S Ewen, JC Freytag, F Hueske, A Heise, ...
The VLDB Journal—The International Journal on Very Large Data Bases 23 (6 …, 2014
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
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
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
Collaborative filtering with apache mahout
S Schelter, S Owen
Proc. of ACM RecSys Challenge, 2012
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
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
Factorbird-a parameter server approach to distributed matrix factorization
S Schelter, V Satuluri, R Zadeh
arXiv preprint arXiv:1411.0602, 2014
Automatically Tracking Metadata and Provenance of Machine Learning Experiments
S Schelter, JH Boese, J Kirschnick, T Klein, S Seufert
NIPS Workshop ML Systems, 2017
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
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
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
Samsara: Declarative machine learning on distributed dataflow systems
S Schelter, A Palumbo, S Quinn, S Marthi, A Musselman
NIPS Workshop MLSystems, 2016
Tracking the trackers: A large-scale analysis of embedded web trackers
S Schelter, J Kunegis
Tenth International AAAI Conference on Web and Social Media, 2016
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
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
On Challenges in Machine Learning Model Management.
S Schelter, F Biessmann, T Januschowski, D Salinas, S Seufert, ...
IEEE Data Eng. Bull. 41 (4), 5-15, 2018
Structural patterns in the rise of Germany’s new right on Facebook
S Schelter, F Biessmann, M Zobel, N Teneva
2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW …, 2016
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
Gilbert: Declarative Sparse Linear Algebra on Massively Parallel Dataflow Systems
T Rohrmann, S Schelter, T Rabl, V Markl
Fachtagung „Datenbanksysteme für Business, Technologie und Web“ (BTW), 2017
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