Maurice van Keulen

Maurice van Keulen

Universiteit Twente

H-index: 21

Europe-Netherlands

About Maurice van Keulen

Maurice van Keulen, With an exceptional h-index of 21 and a recent h-index of 11 (since 2020), a distinguished researcher at Universiteit Twente, specializes in the field of Data Quality and Uncertainty, Probabilistic Databases, Information Extraction, Data Integration, Explainable AI.

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

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

Interpreting and correcting medical image classification with pip-net

From anecdotal evidence to quantitative evaluation methods: A systematic review on evaluating explainable ai

Can Less Yield More? Insights into Truly Sparse Training

E2ENet: Dynamic Sparse Feature Fusion for Accurate and Efficient 3D Medical Image Segmentation

PIP-Net: Patch-Based Intuitive Prototypes for Interpretable Image Classification

Investigating Imputation Methods for Handling Missing Data

Weakly Supervised Learning for Breast Cancer Prediction on Mammograms in Realistic Settings

Maurice van Keulen Information

University

Position

Associate Professor of Data Management Technology

Citations(all)

2622

Citations(since 2020)

681

Cited By

2108

hIndex(all)

21

hIndex(since 2020)

11

i10Index(all)

52

i10Index(since 2020)

15

Email

University Profile Page

Universiteit Twente

Google Scholar

View Google Scholar Profile

Maurice van Keulen Skills & Research Interests

Data Quality and Uncertainty

Probabilistic Databases

Information Extraction

Data Integration

Explainable AI

Top articles of Maurice van Keulen

Title

Journal

Author(s)

Publication Date

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

Interpreting and correcting medical image classification with pip-net

Meike Nauta

Johannes H Hegeman

Jeroen Geerdink

Maurice Schlötterer

Jörg

...

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

Can Less Yield More? Insights into Truly Sparse Training

Qiao Xiao

Boqian Wu

Lu Yin

Maurice van Keulen

Mykola Pechenizkiy

2023/5/1

E2ENet: Dynamic Sparse Feature Fusion for Accurate and Efficient 3D Medical Image Segmentation

arXiv preprint arXiv:2312.04727

Boqian Wu

Qiao Xiao

Shiwei Liu

Lu Yin

Mykola Pechenizkiy

...

2023/12/7

PIP-Net: Patch-Based Intuitive Prototypes for Interpretable Image Classification

Meike Nauta

Jörg Schlötterer

Maurice van Keulen

Christin Seifert

2023

Investigating Imputation Methods for Handling Missing Data

Jelle Maas

Job GWT Römer

Işıl Baysal Erez

Maurice van Keulen

2023/11/9

Weakly Supervised Learning for Breast Cancer Prediction on Mammograms in Realistic Settings

arXiv preprint arXiv:2310.12677

Shreyasi Pathak

Jörg Schlötterer

Jeroen Geerdink

Onno Dirk Vijlbrief

Maurice van Keulen

...

2023/10/19

Understanding dynamic sparse training capabilities in accommodating sparse data

Işıl Baysal Erez

Maurice van Keulen

2022/9/19

Evaluating Clinical-Care Metadata Share and its FAIRification using the REA Ontology.

Syeda Amna Sohail

Faiza Allah Bukhsh

Maurice van Keulen

Johannes G Krabbe

Pavel Hruby

2022/6/17

The mutually reinforcing of sparse data and sparse training models

Işıl Baysal Erez

Elena Mocanu

Maurice van Keulen

2022/4/28

Influence of discretization granularity on learning classification models

Thi Hoang Anh Tran

Malina Lara Wiesner

Maurice van Keulen

2022/11/7

Identifying materialized privacy claims of clinical-care metadata share using process-mining and rea ontology

Syeda Amna Sohail

Faiza Bukhsh

Johannes Gerardus Krabbe

2021/3/5

Framework for Assessing Ethical Aspects of Algorithms and Their Encompassing Socio-Technical System

Applied Sciences

Xadya van Bruxvoort

Maurice van Keulen

2021/1

Multilevel Privacy Assurance Evaluation of Healthcare Metadata

Applied Sciences

Syeda Amna Sohail

Faiza Allah Bukhsh

Maurice van Keulen

2021/11/12

Multimodal Machine Learning for 30-Days Post-Operative Mortality Prediction of Elderly Hip Fracture Patients

Berk Yenidogan

Shreyasi Pathak

Jeroen Geerdink

Johannes H Hegeman

Maurice van Keulen

2021/12/7

Autoencoder-based cleaning in probabilistic databases

ACM J. Data Inf. Qual

R Mauritz

F Nijweide

Jasper Goseling

Maurice van Keulen

2021/6/21

Automatic 3D building model generation using deep learning methods based on cityjson and 2D floor plans

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences

RG Kippers

Mila Koeva

Maurice van Keulen

SJ Oude Elberink

2021/10/7

Scalable Interdisciplinary Data Science Teaching at the University of Twente

Berlin Journal of Data Science

Maurice van Keulen

Christin Seifert

Mannes Poel

C Oudshoorn

2020/1

A Hybrid Text Classification and Language Generation Model for Automated Summarization of Dutch Breast Cancer Radiology Reports

Elisa Nguyen

Daphne Theodorakopoulos

Shreyasi Pathak

Jeroen Geerdink

Onno Vijlbrief

...

2020/10/28

See List of Professors in Maurice van Keulen University(Universiteit Twente)

Co-Authors

H-index: 50
Arjen P. de Vries

Arjen P. de Vries

Radboud Universiteit

H-index: 41
Djoerd Hiemstra

Djoerd Hiemstra

Radboud Universiteit

H-index: 35
Willem Jonker

Willem Jonker

Universiteit Twente

H-index: 29
Peter M.G. Apers

Peter M.G. Apers

Universiteit Twente

H-index: 27
Torsten Grust

Torsten Grust

Eberhard Karls Universität Tübingen

H-index: 24
Chintan Amrit

Chintan Amrit

Universiteit van Amsterdam

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