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Sebastian Schelter
- Author ID
- 1588
- ORCID
-
0000-0003-4722-5840
- Links
-
(found by gpt-5.2 on feb 8th, 2026)
- Most Frequent Institution
- University of Amsterdam
- Pagerank
- 0.16914249
- Overall Rank
- 330 | 98.45%
- Paper Count
- 24
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 24 of 24 publications.
| Rank |
Title |
Year |
Venue |
Pagerank |
| 1,482 |
Automating Large-Scale Data Quality Verification |
2018 |
VLDB |
0.00011725533 |
| 2,163 |
Elastic Machine Learning Algorithms in Amazon SageMaker |
2020 |
SIGMOD |
9.3949234e-05 |
| 2,350 |
An Intermediate Representation for Optimizing Machine Learning Pipelines |
2019 |
VLDB |
8.9788641e-05 |
| 3,806 |
HedgeCut: Maintaining Randomised Trees for Low-Latency Machine Unlearning |
2021 |
SIGMOD |
6.7492837e-05 |
| 4,110 |
Learning to Validate the Predictions of Black Box Classifiers on Unseen Data |
2020 |
SIGMOD |
6.4428544e-05 |
| 4,734 |
MLINSPECT: A Data Distribution Debugger for Machine Learning Pipelines |
2021 |
SIGMOD |
5.9615384e-05 |
| 5,257 |
Probabilistic Demand Forecasting at Scale |
2017 |
VLDB |
5.6003925e-05 |
| 5,433 |
"Amnesia" - A Selection of Machine Learning Models That Can Forget User Data Very Fast |
2020 |
CIDR |
5.5051607e-05 |
| 5,928 |
SchemaPile: A Large Collection of Relational Database Schemas |
2024 |
SIGMOD |
5.2685946e-05 |
| 6,291 |
Lightweight Inspection of Data Preprocessing in Native Machine Learning Pipelines |
2021 |
CIDR |
5.1269764e-05 |
| 6,993 |
Unit Testing Data with Deequ |
2019 |
SIGMOD |
4.8693227e-05 |
| 8,114 |
mlwhatif: What If You Could Stop Re-Implementing Your Machine Learning Pipeline Analyses Over and Over? |
2023 |
VLDB |
4.5823351e-05 |
| 8,177 |
DORIAN in action: Assisted Design of Data Science Pipelines |
2022 |
VLDB |
4.5673266e-05 |
| 8,257 |
Automating and Optimizing Data-Centric What-If Analyses on Native Machine Learning Pipelines |
2023 |
SIGMOD |
4.5487511e-05 |
| 9,437 |
BlockJoin: Efficient Matrix Partitioning Through Joins |
2017 |
VLDB |
4.3425552e-05 |
| 9,466 |
Serenade - Low-Latency Session-Based Recommendation in e-Commerce at Scale |
2022 |
SIGMOD |
4.3349007e-05 |
| 9,547 |
Optimistic Recovery for Iterative Dataflows in Action |
2015 |
SIGMOD |
4.3259935e-05 |
| 10,816 |
mlidea: Interactively Improving ML Data Preparation Code via "Shadow Pipelines" |
2025 |
VLDB |
4.1945683e-05 |
| 11,077 |
A Flexible Forecasting Stack |
2024 |
VLDB |
4.1945683e-05 |
| 11,096 |
Snapcase – Regain Control over Your Predictions with Low-Latency Machine Unlearning |
2024 |
VLDB |
4.1945683e-05 |
| 11,147 |
Reconstructing and Querying ML Pipeline Intermediates |
2023 |
CIDR |
4.1945683e-05 |
| 11,310 |
Screening Native ML Pipelines with “ArgusEyes” |
2022 |
CIDR |
4.1945683e-05 |
| 12,039 |
Iterative Parallel Data Processing with Stratosphere: An Inside Look |
2013 |
SIGMOD |
4.1945683e-05 |
| 13,300 |
DEEM 2019: Workshop on Data Management for End-to-End Machine Learning |
2019 |
SIGMOD |
- |
Frequent Co-authors
Co-authored at least 5 papers.