Willem Waegeman

Willem Waegeman

Universiteit Gent

H-index: 37

Europe-Belgium

About Willem Waegeman

Willem Waegeman, With an exceptional h-index of 37 and a recent h-index of 31 (since 2020), a distinguished researcher at Universiteit Gent, specializes in the field of machine learning, data science, bioinformatics.

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

Uncertainty-aware single-cell annotation with a hierarchical reject option

Is Epistemic Uncertainty Faithfully Represented by Evidential Deep Learning Methods?

A comparison of embedding aggregation strategies in drug–target interaction prediction

Out-of-Sample R2: Estimation and Inference

Pre-trained Maldi Transformers improve MALDI-TOF MS-based prediction

A framework for tracing timber following the Ukraine invasion

Valid prediction intervals for regression problems

An antimicrobial drug recommender system using MALDI-TOF MS and dual-branch neural networks

Willem Waegeman Information

University

Position

___

Citations(all)

6747

Citations(since 2020)

4412

Cited By

3846

hIndex(all)

37

hIndex(since 2020)

31

i10Index(all)

87

i10Index(since 2020)

73

Email

University Profile Page

Universiteit Gent

Google Scholar

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Willem Waegeman Skills & Research Interests

machine learning

data science

bioinformatics

Top articles of Willem Waegeman

Title

Journal

Author(s)

Publication Date

Uncertainty-aware single-cell annotation with a hierarchical reject option

Bioinformatics

Lauren Theunissen

Thomas Mortier

Yvan Saeys

Willem Waegeman

2024/3/1

Is Epistemic Uncertainty Faithfully Represented by Evidential Deep Learning Methods?

arXiv preprint arXiv:2402.09056

Mira Jürgens

Nis Meinert

Viktor Bengs

Eyke Hüllermeier

Willem Waegeman

2024/2/14

A comparison of embedding aggregation strategies in drug–target interaction prediction

BMC bioinformatics

Dimitrios Iliadis

Bernard De Baets

Tapio Pahikkala

Willem Waegeman

2024/2/6

Out-of-Sample R2: Estimation and Inference

The American Statistician

Stijn Hawinkel

Willem Waegeman

Steven Maere

2024/1/2

Pre-trained Maldi Transformers improve MALDI-TOF MS-based prediction

bioRxiv

Gaetan De Waele

Gerben Menschaert

Peter Vandamme

Willem Waegeman

2024

A framework for tracing timber following the Ukraine invasion

Nature Plants

Thomas Mortier

Jakub Truszkowski

Marigold Norman

Markus Boner

Bogdan Buliga

...

2024/3/11

Valid prediction intervals for regression problems

Artificial Intelligence Review

Nicolas Dewolf

Bernard De Baets

Willem Waegeman

2023/1

An antimicrobial drug recommender system using MALDI-TOF MS and dual-branch neural networks

bioRxiv

Gaetan De Waele

Gerben Menschaert

Willem Waegeman

2023/9/29

Heteroskedastic conformal regression

arXiv preprint arXiv:2309.08313

Nicolas Dewolf

Bernard De Baets

Willem Waegeman

2023/9/15

DeepMTP: A Python-based deep learning framework for multi-target prediction

SoftwareX

Dimitrios Iliadis

Bernard De Baets

Willem Waegeman

2023/7/1

On the Calibration of Probabilistic Classifier Sets

Thomas Mortier

Viktor Bengs

Eyke Hüllermeier

Stijn Luca

Willem Waegeman

2023/4/11

On Second-Order Scoring Rules for Epistemic Uncertainty Quantification

Viktor Bengs

Eyke Hüllermeier

Willem Waegeman

2023/7/3

Novel Transformer Networks for Improved Sequence Labeling in genomics

IEEE/ACM Transactions on Computational Biology and Bioinformatics

Jim Clauwaert

Willem Waegeman

2022

ProD: A Tool for Predictive Design of Tailored Promoters in Escherichia coli

Friederike Mey

Jim Clauwaert

Maarten Van Brempt

Michiel Stock

Jo Maertens

...

2022/8/4

Seasonal prediction of Horn of Africa long rains using machine learning: the pitfalls of preselecting correlated predictors

Frontiers in Water

Victoria MH Deman

Akash Koppa

Willem Waegeman

David A MacLeod

Michael Bliss Singer

...

2022/12/8

Set-valued prediction in hierarchical classification with constrained representation complexity

Thomas Mortier

Eyke Hüllermeier

Krzysztof Dembczyński

Willem Waegeman

2022/8/17

Pitfalls of epistemic uncertainty quantification through loss minimisation

Advances in Neural Information Processing Systems

Viktor Bengs

Eyke Hüllermeier

Willem Waegeman

2022/12/6

Multi-target prediction for dummies using two-branch neural networks

Machine Learning

Dimitrios Iliadis

Bernard De Baets

Willem Waegeman

2022/2

Hyperparameter optimization in deep multi-target prediction

arXiv preprint arXiv:2211.04362

Dimitrios Iliadis

Marcel Wever

Bernard De Baets

Willem Waegeman

2022/11/8

Heterogeneity hampers the identification of general pressure injury risk factors in intensive care populations: a predictive modelling analysis

Intensive & Critical Care Nursing

Willem Waegeman Mieke Descheppera

Sonia O. Labeau

2022

See List of Professors in Willem Waegeman University(Universiteit Gent)

Co-Authors

H-index: 127
Nico Boon

Nico Boon

Universiteit Gent

H-index: 87
De Baets Bernard

De Baets Bernard

Universiteit Gent

H-index: 71
Eyke Hüllermeier

Eyke Hüllermeier

Universität Paderborn

H-index: 65
Niko Verhoest

Niko Verhoest

Universiteit Gent

H-index: 63
Diego Miralles

Diego Miralles

Universiteit Gent

H-index: 47
Tapio Salakoski

Tapio Salakoski

Turun yliopisto

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