ProfessorsProfessors of University of OxfordTammo Rukat

Tammo Rukat

University of Oxford

H-index: 12

Europe-United Kingdom

About Tammo Rukat

Tammo Rukat, With an exceptional h-index of 12 and a recent h-index of 12 (since 2020), a distinguished researcher at University of Oxford, specializes in the field of Machine Learning, Statistic, Data Quality.

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

Variational boosted soft trees

Automated data validation in machine learning systems

JENGA: a framework to study the impact of data errors on the predictions of machine learning models

Learning to validate the predictions of black box classifiers on unseen data

Towards automated ml model monitoring: Measure, improve and quantify data quality

Tammo Rukat Information

University	University of Oxford
Position	___
Citations(all)	376
Citations(since 2020)	328
Cited By	139
hIndex(all)	12
hIndex(since 2020)	12
i10Index(all)	14
i10Index(since 2020)	13
Email	Access Email
University Profile Page	University of Oxford
Google Scholar	View Google Scholar Profile

Tammo Rukat Skills & Research Interests

Machine Learning

Statistic

Data Quality

Top articles of Tammo Rukat

Title	Author(s)	Publication Date
Variational boosted soft trees	Tristan Cinquin Tammo Rukat Philipp Schmidt Martin Wistuba Artur Bekasov	2023/4/11
Automated data validation in machine learning systems	Felix Biessmann Jacek Golebiowski Tammo Rukat Dustin Lange Philipp Schmidt	2021
JENGA: a framework to study the impact of data errors on the predictions of machine learning models	Sebastian Schelter Tammo Rukat Felix Biessmann	2021
Learning to validate the predictions of black box classifiers on unseen data	Sebastian Schelter Tammo Rukat Felix Bießmann	2020/6/11
Towards automated ml model monitoring: Measure, improve and quantify data quality	Tammo Rukat Dustin Lange Sebastian Schelter Felix Biessmann	2020