Christin Seifert

Christin Seifert

Universität Duisburg-Essen

H-index: 29

Europe-Germany

About Christin Seifert

Christin Seifert, With an exceptional h-index of 29 and a recent h-index of 21 (since 2020), a distinguished researcher at Universität Duisburg-Essen, specializes in the field of Machine Learning, Natural Language Processing, Explainable AI, Medical Data Science.

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

PIPNet3D: Interpretable Detection of Alzheimer in MRI Scans

A Second Look on BASS–Boosting Abstractive Summarization with Unified Semantic Graphs: A Replication Study

Feature importance to explain multimodal prediction models. A clinical use case

The Queen of England is not England's Queen: On the Lack of Factual Coherency in PLMs

CEval: A Benchmark for Evaluating Counterfactual Text Generation

Infolossqa: Characterizing and recovering information loss in text simplification

Comprehensive Study on German Language Models for Clinical and Biomedical Text Understanding

Explainable Bayesian Optimization

Christin Seifert Information

University

Position

___

Citations(all)

3041

Citations(since 2020)

1737

Cited By

1651

hIndex(all)

29

hIndex(since 2020)

21

i10Index(all)

69

i10Index(since 2020)

37

Email

University Profile Page

Universität Duisburg-Essen

Google Scholar

View Google Scholar Profile

Christin Seifert Skills & Research Interests

Machine Learning

Natural Language Processing

Explainable AI

Medical Data Science

Top articles of Christin Seifert

Title

Journal

Author(s)

Publication Date

PIPNet3D: Interpretable Detection of Alzheimer in MRI Scans

arXiv preprint arXiv:2403.18328

Lisa Anita De Santi

Jörg Schlötterer

Michael Scheschenja

Joel Wessendorf

Meike Nauta

...

2024/3/27

A Second Look on BASS–Boosting Abstractive Summarization with Unified Semantic Graphs: A Replication Study

Osman Alperen Koraş

Jörg Schlötterer

Christin Seifert

2024/3/15

Feature importance to explain multimodal prediction models. A clinical use case

arXiv preprint arXiv:2404.18631

Jorn-Jan van de Beld

Shreyasi Pathak

Jeroen Geerdink

Johannes H Hegeman

Christin Seifert

2024/4/29

The Queen of England is not England's Queen: On the Lack of Factual Coherency in PLMs

arXiv preprint arXiv:2402.01453

Paul Youssef

Jörg Schlötterer

Christin Seifert

2024/2/2

CEval: A Benchmark for Evaluating Counterfactual Text Generation

arXiv preprint arXiv:2404.17475

Van Bach Nguyen

Jörg Schlötterer

Christin Seifert

2024/4/26

Infolossqa: Characterizing and recovering information loss in text simplification

arXiv preprint arXiv:2401.16475

Jan Trienes

Sebastian Joseph

Jörg Schlötterer

Christin Seifert

Kyle Lo

...

2024/1/29

Comprehensive Study on German Language Models for Clinical and Biomedical Text Understanding

arXiv preprint arXiv:2404.05694

Ahmad Idrissi-Yaghir

Amin Dada

Henning Schäfer

Kamyar Arzideh

Giulia Baldini

...

2024/4/8

Explainable Bayesian Optimization

arXiv preprint arXiv:2401.13334

Tanmay Chakraborty

Christin Seifert

Christian Wirth

2024/1/24

Prototype-based Interpretable Breast Cancer Prediction Models: Analysis and Challenges

arXiv preprint arXiv:2403.20260

Shreyasi Pathak

Jörg Schlötterer

Jeroen Veltman

Jeroen Geerdink

Maurice van Keulen

...

2024/3/29

Know What Not To Know: Users’ Perception of Abstaining Classifiers

Dagmar Papenmeier

Andrea and Hienert

Daniel and Kammerer

Yvonne and Seifert

Christin and Kern

2023

Post-hoc Rule Based Explanations for Black Box Bayesian Optimization

Tanmay Chakraborty

Christian Wirth

Christin Seifert

2023

Privacy-Preserving Knowledge Transfer through Partial Parameter Sharing

Paul Youssef

Jörg Schlötterer

Christin Seifert

2023/7

Feature Attribution Explanations for Spiking Neural Networks

arXiv preprint arXiv:2311.02110

Elisa Nguyen

Meike Nauta

Gwenn Englebienne

Christin Seifert

2023/11/2

The Co-12 Recipe for Evaluating Interpretable Part-Prototype Image Classifiers

Meike Nauta

Christin Seifert

2023

Pip-net: Patch-based intuitive prototypes for interpretable image classification

Meike Nauta

Jörg Schlötterer

Maurice van Keulen

Christin Seifert

2023

Report on the Dagstuhl Seminar on Frontiers of Information Access Experimentation for Research and Education

ACM SIGIR Forum

Christine Bauer

Ben Carterette

Nicola Ferro

Norbert Fuhr

Joeran Beel

...

2023/12/4

Give Me the Facts! A Survey on Factual Knowledge Probing in Pre-trained Language Models

arXiv preprint arXiv:2310.16570

Paul Youssef

Osman Alperen Koraş

Meijie Li

Jörg Schlötterer

Christin Seifert

2023/10/25

Patient trajectory visualization for FHIR healthcare data: A use case on melanoma patients

Meijie Li

Galetzka Wolfgang

Bahadir Eryilmaz

Georg Christian Lodde

Elisabeth Livingstone

...

2023

From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI

Meike Nauta

Jan Trienes

Shreyasi Pathak

Elisa Nguyen

Michelle Peters

...

2023/7/13

Accurate and reliable classification of unstructured reports on their diagnostic goal using BERT models

Diagnostics

Max Tigo Rietberg

Van Bach Nguyen

Jeroen Geerdink

Onno Vijlbrief

Christin Seifert

2023/3/27

See List of Professors in Christin Seifert University(Universität Duisburg-Essen)

Co-Authors

H-index: 96
Horst Bischof

Horst Bischof

Technische Universität Graz

H-index: 47
Karin Verspoor

Karin Verspoor

RMIT University

H-index: 33
Granitzer Michael

Granitzer Michael

Universität Passau

H-index: 30
Stefan Gumhold

Stefan Gumhold

Technische Universität Dresden

H-index: 29
Prof.  Dr. (ENS Lyon) Harald Kosch

Prof. Dr. (ENS Lyon) Harald Kosch

Universität Passau

H-index: 27
Gwenn Englebienne

Gwenn Englebienne

Universiteit Twente

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