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Sebastian Schelter
- Author ID
- 1585
- ORCID
-
0000-0003-4722-5840
- Links
-
(found by gpt-5.6-luna on jul 24 2026)
- Most Frequent Institution
- University of Amsterdam
- Pagerank
- 0.18777978
- Overall Rank
- 314 | 98.51%
- Paper Count
- 25
Affiliation Timeline
Incoming Non-self Citations Over Time
Total yearly non-self incoming citations across all papers by this author.
Publications by Paper Pagerank
Showing 25 of 25 publications.
| Rank |
Title |
Year |
Venue |
Pagerank |
| 1,350 |
Automating Large-Scale Data Quality Verification |
2018 |
VLDB |
0.00011065626 |
| 1,937 |
Elastic Machine Learning Algorithms in Amazon SageMaker |
2020 |
SIGMOD |
9.4524758e-05 |
| 2,239 |
An Intermediate Representation for Optimizing Machine Learning Pipelines |
2019 |
VLDB |
8.8875753e-05 |
| 3,670 |
Learning to Validate the Predictions of Black Box Classifiers on Unseen Data |
2020 |
SIGMOD |
7.2118928e-05 |
| 3,960 |
HedgeCut: Maintaining Randomised Trees for Low-Latency Machine Unlearning |
2021 |
SIGMOD |
6.9878154e-05 |
| 4,518 |
MLINSPECT: A Data Distribution Debugger for Machine Learning Pipelines |
2021 |
SIGMOD |
6.6474737e-05 |
| 5,182 |
Probabilistic Demand Forecasting at Scale |
2017 |
VLDB |
6.3287692e-05 |
| 5,466 |
SchemaPile: A Large Collection of Relational Database Schemas |
2024 |
SIGMOD |
6.2075052e-05 |
| 6,188 |
"Amnesia" - A Selection of Machine Learning Models That Can Forget User Data Very Fast |
2020 |
CIDR |
5.9483532e-05 |
| 6,250 |
Lightweight Inspection of Data Preprocessing in Native Machine Learning Pipelines |
2021 |
CIDR |
5.9418015e-05 |
| 6,801 |
Unit Testing Data with Deequ |
2019 |
SIGMOD |
5.7690726e-05 |
| 7,395 |
Automating and Optimizing Data-Centric What-If Analyses on Native Machine Learning Pipelines |
2023 |
SIGMOD |
5.6257796e-05 |
| 7,490 |
mlwhatif: What If You Could Stop Re-Implementing Your Machine Learning Pipeline Analyses Over and Over? |
2023 |
VLDB |
5.6061425e-05 |
| 8,134 |
DORIAN in action: Assisted Design of Data Science Pipelines |
2022 |
VLDB |
5.4811783e-05 |
| 8,868 |
SemBench: A Benchmark for Semantic Query Processing Engines |
2026 |
VLDB |
5.3546848e-05 |
| 9,527 |
Serenade - Low-Latency Session-Based Recommendation in e-Commerce at Scale |
2022 |
SIGMOD |
5.2550158e-05 |
| 9,670 |
Optimistic Recovery for Iterative Dataflows in Action |
2015 |
SIGMOD |
5.2389261e-05 |
| 9,675 |
BlockJoin: Efficient Matrix Partitioning Through Joins |
2017 |
VLDB |
5.2380072e-05 |
| 11,043 |
mlidea: Interactively Improving ML Data Preparation Code via “Shadow Pipelines” |
2025 |
VLDB |
5.093636e-05 |
| 11,283 |
A Flexible Forecasting Stack |
2024 |
VLDB |
5.093636e-05 |
| 11,302 |
Snapcase – Regain Control over Your Predictions with Low-Latency Machine Unlearning |
2024 |
VLDB |
5.093636e-05 |
| 11,353 |
Reconstructing and Querying ML Pipeline Intermediates |
2023 |
CIDR |
5.093636e-05 |
| 11,509 |
Screening Native ML Pipelines with “ArgusEyes” |
2022 |
CIDR |
5.093636e-05 |
| 12,237 |
Iterative Parallel Data Processing with Stratosphere: An Inside Look |
2013 |
SIGMOD |
5.093636e-05 |
| 13,501 |
DEEM 2019: Workshop on Data Management for End-to-End Machine Learning |
2019 |
SIGMOD |
- |
Frequent Co-authors
Co-authored at least 5 papers.