Artikel dengan mandat akses publik - Sebastian SchelterPelajari lebih lanjut
Tersedia di suatu tempat: 39
The stratosphere platform for big data analytics
A Alexandrov, R Bergmann, S Ewen, JC Freytag, F Hueske, A Heise, ...
The VLDB Journal 23, 939-964, 2014
Mandat: German Research Foundation
"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
Mandat: German Research Foundation
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
Mandat: Gordon and Betty Moore Foundation, European Commission, Federal Ministry of …
ReCANet: A repeat consumption-aware neural network for next basket recommendation in grocery shopping
M Ariannezhad, S Jullien, M Li, M Fang, S Schelter, M De Rijke
Proceedings of the 45th international ACM SIGIR conference on research and …, 2022
Mandat: Netherlands Organisation for Scientific Research
Learning to validate the predictions of black box classifiers on unseen data
S Schelter, T Rukat, F Bießmann
Proceedings of the 2020 ACM SIGMOD International Conference on Management of …, 2020
Mandat: Gordon and Betty Moore Foundation
Fairness-Aware Instrumentation of Preprocessing~ Pipelines for Machine Learning
K Yang, B Huang, J Stoyanovich, S Schelter
Workshop on Human-In-the-Loop Data Analytics (HILDA'20), 2020
Mandat: US National Science Foundation, Gordon and Betty Moore Foundation
Lightweight inspection of data preprocessing in native machine learning pipelines
S Grafberger, J Stoyanovich, S Schelter
Conference on Innovative Data Systems Research (CIDR), 2021
Mandat: US National Science Foundation
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 …, 2016
Mandat: German Research Foundation
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
Mandat: German Research Foundation
Mlinspect: A data distribution debugger for machine learning pipelines
S Grafberger, S Guha, J Stoyanovich, S Schelter
Proceedings of the 2021 International Conference on Management of Data, 2736 …, 2021
Mandat: US National Science Foundation
Automating Data Quality Validation for Dynamic Data Ingestion.
S Redyuk, Z Kaoudi, V Markl, S Schelter
EDBT, 61-72, 2021
Mandat: Federal Ministry of Education and Research, Germany
Data distribution debugging in machine learning pipelines
S Grafberger, P Groth, J Stoyanovich, S Schelter
The VLDB Journal 31 (5), 1103-1126, 2022
Mandat: US National Science Foundation
Taming technical bias in machine learning pipelines
S Schelter, J Stoyanovich
Bulletin of the Technical Committee on Data Engineering 43 (4), 2020
Mandat: US National Science Foundation
Responsible data management
J Stoyanovich, S Abiteboul, B Howe, HV Jagadish, S Schelter
Communications of the ACM 65 (6), 64-74, 2022
Mandat: US National Science Foundation
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
Mandat: German Research Foundation
{HDDse}: Enabling {High-Dimensional} Disk State Embedding for Generic Failure Detection System of Heterogeneous Disks in Large Data Centers
J Zhang, P Huang, K Zhou, M Xie, S Schelter
2020 USENIX Annual Technical Conference (USENIX ATC 20), 111-126, 2020
Mandat: National Natural Science Foundation of China
Parameter-efficient deep probabilistic forecasting
O Sprangers, S Schelter, M de Rijke
International Journal of Forecasting 39 (1), 332-345, 2023
Mandat: Netherlands Organisation for Scientific Research
Understanding and mitigating the effect of outliers in fair ranking
F Sarvi, M Heuss, M Aliannejadi, S Schelter, M de Rijke
Proceedings of the Fifteenth ACM International Conference on Web Search and …, 2022
Mandat: Netherlands Organisation for Scientific Research
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
Mandat: German Research Foundation, European Commission, Federal Ministry of …
Automated data cleaning can hurt fairness in machine learning-based decision making
S Guha, FA Khan, J Stoyanovich, S Schelter
IEEE Transactions on Knowledge and Data Engineering 36 (12), 7368-7379, 2024
Mandat: US National Science Foundation
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