Sebastian Schelter

Sebastian Schelter

Universiteit van Amsterdam

H-index: 27

Europe-Netherlands

About Sebastian Schelter

Sebastian Schelter, With an exceptional h-index of 27 and a recent h-index of 23 (since 2020), a distinguished researcher at Universiteit van Amsterdam, specializes in the field of data management for machine learning - large scale data analysis - responsible data management.

His recent articles reflect a diverse array of research interests and contributions to the field:

Automated data cleaning can hurt fairness in machine learning-based decision making

Red Onions, Soft Cheese and Data: From Food Safety to Data Traceability for Responsible AI

Towards Interactively Improving ML Data Preparation Code via" Shadow Pipelines"

Hierarchical forecasting at scale

Domain Generalization in Time Series Forecasting

Assisted design of data science pipelines

Forget me now: Fast and exact unlearning in neighborhood-based recommendation

How to Make an Outlier? Studying the Effect of Presentational Features on the Outlierness of Items in Product Search Results

Sebastian Schelter Information

University

Position

Assistant Professor at

Citations(all)

3017

Citations(since 2020)

2225

Cited By

1471

hIndex(all)

27

hIndex(since 2020)

23

i10Index(all)

51

i10Index(since 2020)

49

Email

University Profile Page

Universiteit van Amsterdam

Google Scholar

View Google Scholar Profile

Sebastian Schelter Skills & Research Interests

data management for machine learning - large scale data analysis - responsible data management

Top articles of Sebastian Schelter

Title

Journal

Author(s)

Publication Date

Automated data cleaning can hurt fairness in machine learning-based decision making

IEEE Transactions on Knowledge and Data Engineering

Shubha Guha

Falaah Arif Khan

Julia Stoyanovich

Sebastian Schelter

2024/2/13

Red Onions, Soft Cheese and Data: From Food Safety to Data Traceability for Responsible AI

Data Engineering

Stefan Grafberger

Zeyu Zhang

Sebastian Schelter

Ce Zhang

2024

Towards Interactively Improving ML Data Preparation Code via" Shadow Pipelines"

arXiv preprint arXiv:2404.19591

Stefan Grafberger

Paul Groth

Sebastian Schelter

2024/4/30

Hierarchical forecasting at scale

International Journal of Forecasting

Olivier Sprangers

Wander Wadman

Sebastian Schelter

Maarten de Rijke

2024/12

Domain Generalization in Time Series Forecasting

ACM Transactions on Knowledge Discovery from Data

Songgaojun Deng

Olivier Sprangers

Ming Li

Sebastian Schelter

Maarten de Rijke

2024/2/27

Assisted design of data science pipelines

The VLDB Journal

Sergey Redyuk

Zoi Kaoudi

Sebastian Schelter

Volker Markl

2024/2/13

Forget me now: Fast and exact unlearning in neighborhood-based recommendation

Sebastian Schelter

Mozhdeh Ariannezhad

Maarten de Rijke

2023/7/23

How to Make an Outlier? Studying the Effect of Presentational Features on the Outlierness of Items in Product Search Results

Fatemeh Sarvi

Mohammad Aliannejadi

Sebastian Schelter

Maarten de Rijke

2023/3

A personalized neighborhood-based model for within-basket recommendation in grocery shopping

Mozhdeh Ariannezhad

Ming Li

Sebastian Schelter

Maarten de Rijke

2023/2/27

Improving retrieval-augmented large language models via data importance learning

arXiv preprint arXiv:2307.03027

Xiaozhong Lyu

Stefan Grafberger

Samantha Biegel

Shaopeng Wei

Meng Cao

...

2023/7/6

Canonpipe: Data Debugging with Shapley Importance over Machine Learning Pipelines

Bojan Karlaš

David Dao

Matteo Interlandi

Sebastian Schelter

Wentao Wu

...

2023/10/13

Towards declarative systems for data-centric machine learning

Stefan Grafberger

Bojan Karlaš

Paul Groth

Sebastian Schelter

2023

Automating and optimizing data-centric what-if analyses on native machine learning pipelines

Proceedings of the ACM on Management of Data

Stefan Grafberger

Paul Groth

Sebastian Schelter

2023/6/20

mlwhatif: What If You Could Stop Re-Implementing Your Machine Learning Pipeline Analyses over and over?

Proceedings of the VLDB Endowment

Stefan Grafberger

Shubha Guha

Paul Groth

Sebastian Schelter

2023/8/1

Parameter-efficient deep probabilistic forecasting

International Journal of Forecasting

Olivier Sprangers

Sebastian Schelter

Maarten de Rijke

2023/1

Proactively Screening Machine Learning Pipelines with ArgusEyes

Sebastian Schelter

Stefan Grafberger

Shubha Guha

Bojan Karlas

Ce Zhang

2023/6/4

On the Impact of Outlier Bias on User Clicks

Fatemeh Sarvi

Ali Vardasbi

Mohammad Aliannejadi

Sebastian Schelter

Maarten de Rijke

2023/7/23

Provenance tracking for end-to-end machine learning pipelines

Stefan Grafberger

Paul Groth

Sebastian Schelter

2023/4/30

Responsible data management

Communications of the ACM

Julia Stoyanovich

Serge Abiteboul

Bill Howe

HV Jagadish

Sebastian Schelter

2022/5/20

Efficiently maintaining Next Basket Recommendations under additions and deletions of baskets and items

arXiv preprint arXiv:2201.13313

Benjamin Longxiang Wang

Sebastian Schelter

2022/1/27

See List of Professors in Sebastian Schelter University(Universiteit van Amsterdam)

Co-Authors

H-index: 90
Maarten de Rijke

Maarten de Rijke

Universiteit van Amsterdam

H-index: 57
Volker Markl

Volker Markl

Technische Universität Berlin

H-index: 32
Julia Stoyanovich

Julia Stoyanovich

New York University

H-index: 18
Kostas Tzoumas

Kostas Tzoumas

Technische Universität Berlin

H-index: 15
Alexander Alexandrov

Alexander Alexandrov

Technische Universität Berlin

H-index: 12
Tammo Rukat

Tammo Rukat

University of Oxford

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