Gilles Vandewiele

About Gilles Vandewiele

Gilles Vandewiele, With an exceptional h-index of 14 and a recent h-index of 14 (since 2020), a distinguished researcher at Universiteit Gent, specializes in the field of Decision Support, Data Mining, Machine Learning.

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

REFORMS: Consensus-based Recommendations for Machine-learning-based Science

Prediction of iol power

pyRDF2Vec: A Python Implementation and Extension of RDF2Vec

Do not sleep on traditional machine learning: Simple and interpretable techniques are competitive to deep learning for sleep scoring

Reforms: Reporting standards for machine learning based science

The web-based application “QUiPP v. 2” for the prediction of preterm birth in symptomatic women is not yet ready for worldwide clinical use: ten reflections on development …

R-GCN: the R could stand for random

INK: knowledge graph embeddings for node classification

Gilles Vandewiele Information

University

Position

IDLab

Citations(all)

1002

Citations(since 2020)

974

Cited By

232

hIndex(all)

14

hIndex(since 2020)

14

i10Index(all)

19

i10Index(since 2020)

19

Email

University Profile Page

Google Scholar

Gilles Vandewiele Skills & Research Interests

Decision Support

Data Mining

Machine Learning

Top articles of Gilles Vandewiele

Title

Journal

Author(s)

Publication Date

REFORMS: Consensus-based Recommendations for Machine-learning-based Science

Science Advances

Sayash Kapoor

Emily Cantrell

Kenny Peng

Than Hien Pham

Christopher A Bail

...

2024/3/25

Prediction of iol power

2023/5/18

pyRDF2Vec: A Python Implementation and Extension of RDF2Vec

Bram Steenwinckel

Gilles Vandewiele

Terencio Agozzino

Femke Ongenae

2023/5/22

Do not sleep on traditional machine learning: Simple and interpretable techniques are competitive to deep learning for sleep scoring

Biomedical Signal Processing and Control

Jeroen Van Der Donckt

Jonas Van Der Donckt

Emiel Deprost

Nicolas Vandenbussche

Michael Rademaker

...

2023/3/1

Reforms: Reporting standards for machine learning based science

arXiv preprint arXiv:2308.07832

Sayash Kapoor

Emily Cantrell

Kenny Peng

Thanh Hien Pham

Christopher A Bail

...

2023/8/15

The web-based application “QUiPP v. 2” for the prediction of preterm birth in symptomatic women is not yet ready for worldwide clinical use: ten reflections on development …

Archives of Gynecology and Obstetrics

Isabelle Dehaene

Johan Steen

Gilles Vandewiele

Kristien Roelens

Johan Decruyenaere

2022/8

R-GCN: the R could stand for random

arXiv preprint arXiv:2203.02424

Vic Degraeve

Gilles Vandewiele

Femke Ongenae

Sofie Van Hoecke

2022/3/4

INK: knowledge graph embeddings for node classification

Data Mining and Knowledge Discovery

Bram Steenwinckel

Gilles Vandewiele

Michael Weyns

Terencio Agozzino

Filip De Turck

...

2022/3

Do Not Sleep on Traditional Machine Learning

stat

Jeroen Van Der Donckt

Jonas Van Der

Gilles Vandewiele

Sofie Van

2022/12

Deep learning models for predicting RNA degradation via dual crowdsourcing

Nature Machine Intelligence

Hannah K Wayment-Steele

Wipapat Kladwang

Andrew M Watkins

Do Soon Kim

Bojan Tunguz

...

2022/12

Perfectly predicting ICU length of stay: too good to be true

arXiv preprint arXiv:2211.05597

Sandeep Ramachandra

Gilles Vandewiele

David Vander Mijnsbrugge

Femke Ongenae

Sofie Van Hoecke

2022/11/10

Walk extraction strategies for node embeddings with rdf2vec in knowledge graphs

Bram Steenwinckel

Gilles Vandewiele

Pieter Bonte

Michael Weyns

Heiko Paulheim

...

2021

Explainable data mining for critical domains based on complex data structures

Gilles Vandewiele

2021

Overly optimistic prediction results on imbalanced data: a case study of flaws and benefits when applying over-sampling

Artificial Intelligence in Medicine

Gilles Vandewiele

Isabelle Dehaene

György Kovács

Lucas Sterckx

Olivier Janssens

...

2021/1/1

GENDIS: Genetic discovery of shapelets

Sensors

Gilles Vandewiele

Femke Ongenae

Filip De Turck

2021/2/4

Study III

Bridging the gap between soccer and science: using technology and data to optimize training and performance

Y Geurkink

G Vandewiele

M Lievens

F De Turck

F Ongenae

...

2021

Clinical information extraction for preterm birth risk prediction

Journal of Biomedical Informatics

Lucas Sterckx

Gilles Vandewiele

Isabelle Dehaene

Olivier Janssens

Femke Ongenae

...

2020/10/1

How do users interact with mobile health apps? A Markov chain analysis

Joris Heyse

Gilles Vandewiele

Femke Ongenae

Femke De Backere

Filip De Turck

2020/5/18

Tslearn, a machine learning toolkit for time series data

Journal of machine learning research

Romain Tavenard

Johann Faouzi

Gilles Vandewiele

Felix Divo

Guillaume Androz

...

2020

MINDWALC: mining interpretable, discriminative walks for classification of nodes in a knowledge graph

BMC Medical Informatics and Decision Making

Gilles Vandewiele

Bram Steenwinckel

Filip De Turck

Femke Ongenae

2020/12

See List of Professors in Gilles Vandewiele University(Universiteit Gent)

Co-Authors

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