Wesley De Neve

Wesley De Neve

Universiteit Gent

H-index: 30

Europe-Belgium

About Wesley De Neve

Wesley De Neve, With an exceptional h-index of 30 and a recent h-index of 20 (since 2020), a distinguished researcher at Universiteit Gent, specializes in the field of Biotech Data Science, Data Analysis, Data Representation, Machine Learning.

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

Assessing the reliability of point mutation as data augmentation for deep learning with genomic data

Interpretable rotator cuff tear diagnosis using MRI slides with CAMscore and SHAP

Harnessing the power of tidal flat diatoms to combat climate change

Microplastics in clams: Detection, Exposure, and Implications for human gastric digestion

MuSe-Personalization 2023: Feature Engineering, Hyperparameter Optimization, and Transformer-Encoder Re-discovery

Author Correction: Massively parallel interrogation of protein fragment secretability using SECRiFY reveals features influencing secretory system transit

If an image is worth a thousand words, why describe it with a single word?

Tryp: a dataset of microscopy images of unstained thick blood smears for trypanosome detection

Wesley De Neve Information

University

Position

Associate Professor at (Belgium) & Global Campus (Korea)

Citations(all)

3444

Citations(since 2020)

1639

Cited By

2412

hIndex(all)

30

hIndex(since 2020)

20

i10Index(all)

78

i10Index(since 2020)

36

Email

University Profile Page

Universiteit Gent

Google Scholar

View Google Scholar Profile

Wesley De Neve Skills & Research Interests

Biotech Data Science

Data Analysis

Data Representation

Machine Learning

Top articles of Wesley De Neve

Title

Journal

Author(s)

Publication Date

Assessing the reliability of point mutation as data augmentation for deep learning with genomic data

BMC bioinformatics

Hyunjung Lee

Utku Ozbulak

Homin Park

Stephen Depuydt

Wesley De Neve

...

2024/12

Interpretable rotator cuff tear diagnosis using MRI slides with CAMscore and SHAP

Ho-min Park

Ilho Yun

Mijung Kim

Khoa Tuan Nguyen

Arnout Van Messem

...

2024/4/3

Harnessing the power of tidal flat diatoms to combat climate change

Jihae Park

Hojun Lee

Jana Asselman

Colin Janssen

Stephen Depuydt

...

2024/2/7

Microplastics in clams: Detection, Exposure, and Implications for human gastric digestion

MK de Guzman

2024

MuSe-Personalization 2023: Feature Engineering, Hyperparameter Optimization, and Transformer-Encoder Re-discovery

Ho-Min Park

Ganghyun Kim

Arnout Van Messem

Wesley De Neve

2023/11/2

Author Correction: Massively parallel interrogation of protein fragment secretability using SECRiFY reveals features influencing secretory system transit

nature communications

Morgane Boone

Pathmanaban Ramasamy

Jasper Zuallaert

Robbin Bouwmeester

Berre Van Moer

...

2023

If an image is worth a thousand words, why describe it with a single word?

Esla Timothy Anzaku

Arnout Van Messem

Wesley De Neve

2023/5/22

Tryp: a dataset of microscopy images of unstained thick blood smears for trypanosome detection

Scientific Data

Esla Timothy Anzaku

Mohammed Aliy Mohammed

Utku Ozbulak

Jongbum Won

Hyesoo Hong

...

2023/10/18

Exploring the Power of Evolutionary Computation Algorithms in AutoML

Negin Harandi

Wesley De Neve

Arnout Van Messem

Joris Vankerschaver

2023/5/22

Towards Abdominal 3-D Scene Rendering from Laparoscopy Surgical Videos Using NeRFs

Khoa Tuan Nguyen

Francesca Tozzi

Nikdokht Rashidian

Wouter Willaert

Joris Vankerschaver

...

2023/10/8

CRISPR-Cas-Docker: web-based in silico docking and machine learning-based classification of crRNAs with Cas proteins

BMC bioinformatics

Ho-min Park

Jongbum Won

Yunseol Park

Esla Timothy Anzaku

Joris Vankerschaver

...

2023/4/25

Mutate and observe: utilizing deep neural networks to investigate the impact of mutations on translation initiation

Bioinformatics

Utku Ozbulak

Hyun Jung Lee

Jasper Zuallaert

Wesley De Neve

Stephen Depuydt

...

2023/6/1

Massively parallel interrogation of protein fragment secretability using SECRiFY reveals features influencing secretory system transit (vol 12, 6414, 2021

NATURE COMMUNICATIONS

Siqi Wu

Chang Tian

Panpan Liu

Dongjie Guo

Wei Zheng

...

2020

Know your self-supervised learning: A survey on image-based generative and discriminative training

Transactions on Machine Learning

Utku Ozbulak

Hyun Jung Lee

Beril Boga

Esla Timothy Anzaku

Homin Park

...

2023/5

Leveraging Human-Machine Interactions for Computer Vision Dataset Quality Enhancement

Esla Timothy Anzaku

Hyesoo Hong

Jin-Woo Park

Wonjun Yang

Kangmin Kim

...

2023/11/8

Towards Interpretable Multitask Learning for Splice Site and Translation Initiation Site Prediction

bioRxiv

Espoir Kabanga

Arnout Van Messem

Wesley De Neve

2023

Discovering Biomarker Proteins and Peptides for Parkinson's Disease with Machine Learning and Interpretability Methods

Ho-min Park

Espoir Kabanga

Dongin Moon

Minjae Chung

Yujin Kim

...

2023/5/22

MP-Net: Deep learning-based segmentation for fluorescence microscopy images of microplastics isolated from clams

Plos one

Ho-min Park

Sanghyeon Park

Maria Krishna de Guzman

Ji Yeon Baek

Tanja Cirkovic Velickovic

...

2022/6/15

Exact Feature Collisions in Neural Networks

arXiv preprint arXiv:2205.15763

Utku Ozbulak

Manvel Gasparyan

Shodhan Rao

Wesley De Neve

Arnout Van Messem

2022/5/31

Towards Multimodal Prediction of Time-continuous Emotion using Pose Feature Engineering and a Transformer Encoder

Ho-min Park

Ilho Yun

Ajit Kumar

Ankit Kumar Singh

Bong Jun Choi

...

2022/10/10

See List of Professors in Wesley De Neve University(Universiteit Gent)

Co-Authors

H-index: 84
Konstantinos N Plataniotis

Konstantinos N Plataniotis

University of Toronto

H-index: 57
Rik Van de Walle

Rik Van de Walle

Universiteit Gent

H-index: 52
Yong Man Ro

Yong Man Ro

KAIST

H-index: 29
Erik Mannens, Prof. PhD. MEng. MSc.

Erik Mannens, Prof. PhD. MEng. MSc.

Universiteit Gent

H-index: 29
Sofie Van Hoecke

Sofie Van Hoecke

Universiteit Gent

H-index: 9
Viktor Slavkovikj

Viktor Slavkovikj

Universiteit Gent

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