Stefan Kramer

Stefan Kramer

Johannes Gutenberg-Universität Mainz

H-index: 45

Europe-Germany

About Stefan Kramer

Stefan Kramer, With an exceptional h-index of 45 and a recent h-index of 25 (since 2020), a distinguished researcher at Johannes Gutenberg-Universität Mainz, specializes in the field of Data Mining, Machine Learning, Cheminformatics, QSAR, Computational Sustainability.

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

Peer Learning: Learning Complex Policies in Groups from Scratch via Action Recommendations

The use of an educational video on forensic autopsy in curricular teaching for medical students—is it worth the effort? A field report from lecturers and a survey among students

Amplifying Exploration in Monte-Carlo Tree Search by Focusing on the Unknown

Four-dimensional trapped ion mobility spectrometry lipidomics for high throughput clinical profiling of human blood samples

Check for updates Privacy-Preserving Learning of Random Forests Without Revealing the Trees

A fair experimental comparison of neural network architectures for latent representations of multi-omics for drug response prediction

Identifying Aircraft Motions and Patterns from Magnetometry Data Using a Knowledge-Based Multi-Fusion Approach

Invariant representations with stochastically quantized neural networks

Stefan Kramer Information

University

Position

Professor of Computer Science

Citations(all)

7840

Citations(since 2020)

2554

Cited By

6004

hIndex(all)

45

hIndex(since 2020)

25

i10Index(all)

123

i10Index(since 2020)

65

Email

University Profile Page

Johannes Gutenberg-Universität Mainz

Google Scholar

View Google Scholar Profile

Stefan Kramer Skills & Research Interests

Data Mining

Machine Learning

Cheminformatics

QSAR

Computational Sustainability

Top articles of Stefan Kramer

Title

Journal

Author(s)

Publication Date

Peer Learning: Learning Complex Policies in Groups from Scratch via Action Recommendations

Proceedings of the AAAI Conference on Artificial Intelligence

Cedric Derstroff

Mattia Cerrato

Jannis Brugger

Jan Peters

Stefan Kramer

2024/3/24

The use of an educational video on forensic autopsy in curricular teaching for medical students—is it worth the effort? A field report from lecturers and a survey among students

International journal of legal medicine

Clara-Sophie Schwarz

Stefan Kramer

Tanja Germerott

Cleo Walz

Katrin Elsner

2024/3

Amplifying Exploration in Monte-Carlo Tree Search by Focusing on the Unknown

arXiv preprint arXiv:2402.08511

Cedric Derstroff

Jannis Brugger

Jannis Blüml

Mira Mezini

Stefan Kramer

...

2024/2/13

Four-dimensional trapped ion mobility spectrometry lipidomics for high throughput clinical profiling of human blood samples

Nature Communications

Raissa Lerner

Dhanwin Baker

Claudia Schwitter

Sarah Neuhaus

Tony Hauptmann

...

2023/2/20

Check for updates Privacy-Preserving Learning of Random Forests Without Revealing the Trees

Discovery Science: 26th International Conference, DS 2023, Porto, Portugal, October 9–11, 2023, Proceedings

Lukas-Malte Bammert

Stefan Kramer

Mattia Cerrato

Ernst Althaus

2023/10/7

A fair experimental comparison of neural network architectures for latent representations of multi-omics for drug response prediction

BMC bioinformatics

Tony Hauptmann

Stefan Kramer

2023/2/14

Identifying Aircraft Motions and Patterns from Magnetometry Data Using a Knowledge-Based Multi-Fusion Approach

Julian Vexler

Stefan Kramer

2023/6/27

Invariant representations with stochastically quantized neural networks

Proceedings of the AAAI Conference on Artificial Intelligence

Mattia Cerrato

Marius Köppel

Roberto Esposito

Stefan Kramer

2023/6/26

Automated scientific discovery: from equation discovery to autonomous discovery systems

arXiv preprint arXiv:2305.02251

Stefan Kramer

Mattia Cerrato

Sašo Džeroski

Ross King

2023/5/3

Discriminative machine learning for maximal representative subsampling

Scientific reports

Tony Hauptmann

Sophie Fellenz

Laksan Nathan

Oliver Tüscher

Stefan Kramer

2023/11/27

Reinforcement learning for automated scientific discovery

AAAI Spring Symposium on Computational Approaches to Scientific Discovery

Mattia Cerrato

Jannis Brugger

Nicolas Schmitt

Stefan Kramer

2023/3/23

Privacy-Preserving Learning of Random Forests Without Revealing the Trees

Lukas-Malte Bammert

Stefan Kramer

Mattia Cerrato

Ernst Althaus

2023/10/8

Fair interpretable representation learning with correction vectors

arXiv preprint arXiv:2202.03078

Mattia Cerrato

Alesia Vallenas Coronel

Marius Köppel

Alexander Segner

Roberto Esposito

...

2022/2/7

Fair group-shared representations with normalizing flows

arXiv preprint arXiv:2201.06336

Mattia Cerrato

Marius Köppel

Alexander Segner

Stefan Kramer

2022/1/17

Neural RELAGGS

arXiv preprint arXiv:2211.02363

Lukas Pensel

Stefan Kramer

2022/11/4

Learning to rank Higgs boson candidates

Scientific reports

Marius Köppel

Alexander Segner

Martin Wagener

Lukas Pensel

Andreas Karwath

...

2022/7/30

Deep neural networks to recover unknown physical parameters from oscillating time series

Plos one

Antoine Garcon

Julian Vexler

Dmitry Budker

Stefan Kramer

2022/5/13

The dignity of the human corpse in forensic medicine

International journal of legal medicine

Clara-Sophie Schwarz

Nikolai Münch

Johannes Müller-Salo

Stefan Kramer

Cleo Walz

...

2021/9

Rule extraction from binary neural networks with convolutional rules for model validation

Frontiers in artificial intelligence

Sophie Burkhardt

Jannis Brugger

Nicolas Wagner

Zahra Ahmadi

Kristian Kersting

...

2021/7/21

Fast Private Parameter Learning and Inference for Sum-Product Networks

arXiv preprint arXiv:2104.07353

Ernst Althaus

Mohammad Sadeq Dousti

Stefan Kramer

Nick Johannes Peter Rassau

2021/4/15

See List of Professors in Stefan Kramer University(Johannes Gutenberg-Universität Mainz)